LLM Jobs in Cali.
All active LLM roles based in Cali.
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Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the Team
Roku's Recommendations team powers nearly all Roku-controlled UI surfaces, presenting content, apps, and offers through personalized browse pages, carousels, rows, and destination experiences across 100+ surfaces. The system matches over 100M viewers to millions of entertainment entities daily, optimizing for user engagement, monetization, and long-term platform health.
About the Role
We are looking for a Senior Product Manager to own and drive critical product areas within Recommendations. In this role, you will be responsible for defining product strategy, leading experiments, and delivering measurable outcomes that drive viewer engagement KPIs and business model outcomes (for ad-supported, subscription, and TVOD/PVOD), through the ML/AI recommendations ecosystem.
This is a high-ownership, high-visibility role. You will operate across multiple surfaces and partner closely with engineering, UX, data science, content, business, and cross-functional PMs to shape how Roku's recommendations platform serves users and the business.
For California Only - The estimated annual salary for this position is between $195,000 - $303,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.
What You’ll Be Doing
- Define and own the product strategy and roadmap for your area within Platform Recommendations, with a focus on maximizing user engagement and business value across all monetization models
- Identify unique problem spaces across surfaces and develop strategic recommendations backed by data and analysis
- Drive material outcomes from strategic themes: Drive material outcomes from strategic themes through deep, independent analysis, quantified impact, coherent recommendations, and leadership-ready proposals
- Articulate customer and business problems clearly: Articulate customer and business problems clearly, evaluate options and trade-offs, and develop sequenced roadmaps that move the ball forward strategically
- Lead KPI definition and defense: propose clear primary decision metrics and supporting metrics for every initiative, especially in ambiguous domains where north-star KPIs are not easily defined
- Own experiment design end-to-end: define test contracts and hold the line on experimental rigor
- Drive experiments to decisions: ensure every test is tied to a concrete decision or roadmap change, and prevent KPI drift by proactively aligning stakeholders
- Move fast and demonstrate extreme ownership of outcomes: actively track, unblock, and push for value, and propose concrete options when faced with trade-offs
- Maintain 100% lockstep with partners: Maintain 100% lockstep with partners in ML Research and Engineering, Merchandising, and Analytics with detail orientation and ensure alignment on strategy, outcomes and requirements/timelines
- Communicate with clarity and conciseness: Communicate with clarity and conciseness, with high signal-to-noise in written documents, messaging, presentations and verbal discussions
- Proactively keep stakeholders informed: Proactively keep stakeholders informed of progress, risks, and blockers with specific impacts, options and recommended paths
We’re Excited If You Have
- 7+ years of product management experience, ideally in recommendations, personalization, search/discovery, or ML/AI-driven product areas
- Strong analytical rigor: comfort with experiment design, A/B testing, statistical significance, and metric frameworks. Ability to define, defend, and prevent drift on KPIs
- Proven ownership and bias to action: track record of driving complex, ambiguous initiatives end-to-end — from problem framing through strategy to shipped outcomes. You escalate early, propose alternatives, and don't let work stall
- Technical depth: experience working closely with ML engineers and data scientists on ranking, optimization, and signal-based systems. Ability to engage meaningfully in technical discussions about model performance, feature engineering, and system architecture
- Excellent cross-functional leadership: demonstrated ability to influence and drive alignment across engineering, data science, design, business, and content teams without direct authority
- Outcome-oriented experimentation mindset: experience designing and running experiments that drive real product and business decisions
- Clear, concise communicator: strong written and verbal skills; ability to present strategy, trade-offs, and recommendations to executive leadership
- Experience in streaming, media, entertainment, or large-scale content platforms
- Familiarity with recommendation systems, content ranking, collaborative filtering, or personalization at scale (100M+ users)
- Experience with GenAI/LLM applications in product discovery, content understanding, or signal generation
- Experience operating across multiple product surfaces (TV, mobile, web) with different user behaviors and constraints
- BS/MS in a quantitative field (engineering, CS, mathematics); MBA a plus
#LI-SSC
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the Team
Roku's Recommendations team powers nearly all Roku-controlled UI surfaces, presenting content, apps, and offers through personalized browse pages, carousels, rows, and destination experiences across 100+ surfaces. The system matches over 100M viewers to millions of entertainment entities daily, optimizing for user engagement, monetization, and long-term platform health.
About the Role
We are looking for a Senior Product Manager to own and drive critical product areas within Recommendations. In this role, you will be responsible for defining product strategy, leading experiments, and delivering measurable outcomes that drive viewer engagement KPIs and business model outcomes (for ad-supported, subscription, and TVOD/PVOD), through the ML/AI recommendations ecosystem.
This is a high-ownership, high-visibility role. You will operate across multiple surfaces and partner closely with engineering, UX, data science, content, business, and cross-functional PMs to shape how Roku's recommendations platform serves users and the business.
For California Only - The estimated annual salary for this position is between $195,000 - $303,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.
What You’ll Be Doing
- Define and own the product strategy and roadmap for your area within Platform Recommendations, with a focus on maximizing user engagement and business value across all monetization models
- Identify unique problem spaces across surfaces and develop strategic recommendations backed by data and analysis
- Drive material outcomes from strategic themes: Drive material outcomes from strategic themes through deep, independent analysis, quantified impact, coherent recommendations, and leadership-ready proposals
- Articulate customer and business problems clearly: Articulate customer and business problems clearly, evaluate options and trade-offs, and develop sequenced roadmaps that move the ball forward strategically
- Lead KPI definition and defense: propose clear primary decision metrics and supporting metrics for every initiative, especially in ambiguous domains where north-star KPIs are not easily defined
- Own experiment design end-to-end: define test contracts and hold the line on experimental rigor
- Drive experiments to decisions: ensure every test is tied to a concrete decision or roadmap change, and prevent KPI drift by proactively aligning stakeholders
- Move fast and demonstrate extreme ownership of outcomes: actively track, unblock, and push for value, and propose concrete options when faced with trade-offs
- Maintain 100% lockstep with partners: Maintain 100% lockstep with partners in ML Research and Engineering, Merchandising, and Analytics with detail orientation and ensure alignment on strategy, outcomes and requirements/timelines
- Communicate with clarity and conciseness: Communicate with clarity and conciseness, with high signal-to-noise in written documents, messaging, presentations and verbal discussions
- Proactively keep stakeholders informed: Proactively keep stakeholders informed of progress, risks, and blockers with specific impacts, options and recommended paths
We’re Excited If You Have
- 7+ years of product management experience, ideally in recommendations, personalization, search/discovery, or ML/AI-driven product areas
- Strong analytical rigor: comfort with experiment design, A/B testing, statistical significance, and metric frameworks. Ability to define, defend, and prevent drift on KPIs
- Proven ownership and bias to action: track record of driving complex, ambiguous initiatives end-to-end — from problem framing through strategy to shipped outcomes. You escalate early, propose alternatives, and don't let work stall
- Technical depth: experience working closely with ML engineers and data scientists on ranking, optimization, and signal-based systems. Ability to engage meaningfully in technical discussions about model performance, feature engineering, and system architecture
- Excellent cross-functional leadership: demonstrated ability to influence and drive alignment across engineering, data science, design, business, and content teams without direct authority
- Outcome-oriented experimentation mindset: experience designing and running experiments that drive real product and business decisions
- Clear, concise communicator: strong written and verbal skills; ability to present strategy, trade-offs, and recommendations to executive leadership
- Experience in streaming, media, entertainment, or large-scale content platforms
- Familiarity with recommendation systems, content ranking, collaborative filtering, or personalization at scale (100M+ users)
- Experience with GenAI/LLM applications in product discovery, content understanding, or signal generation
- Experience operating across multiple product surfaces (TV, mobile, web) with different user behaviors and constraints
- BS/MS in a quantitative field (engineering, CS, mathematics); MBA a plus
#LI-SSC
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the Team
Roku's Recommendations team powers nearly all Roku-controlled UI surfaces, presenting content, apps, and offers through personalized browse pages, carousels, rows, and destination experiences across 100+ surfaces. The system matches over 100M viewers to millions of entertainment entities daily, optimizing for user engagement, monetization, and long-term platform health.
About the Role
We are looking for a Senior Product Manager to own and drive critical product areas within Recommendations. In this role, you will be responsible for defining product strategy, leading experiments, and delivering measurable outcomes that drive viewer engagement KPIs and business model outcomes (for ad-supported, subscription, and TVOD/PVOD), through the ML/AI recommendations ecosystem.
This is a high-ownership, high-visibility role. You will operate across multiple surfaces and partner closely with engineering, UX, data science, content, business, and cross-functional PMs to shape how Roku's recommendations platform serves users and the business.
For New York Only - The estimated annual salary for this position is between $195,000 - $303,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.
What You’ll Be Doing
- Define and own the product strategy and roadmap for your area within Platform Recommendations, with a focus on maximizing user engagement and business value across all monetization models
- Identify unique problem spaces across surfaces and develop strategic recommendations backed by data and analysis
- Drive material outcomes from strategic themes: Drive material outcomes from strategic themes through deep, independent analysis, quantified impact, coherent recommendations, and leadership-ready proposals
- Articulate customer and business problems clearly: Articulate customer and business problems clearly, evaluate options and trade-offs, and develop sequenced roadmaps that move the ball forward strategically
- Lead KPI definition and defense: propose clear primary decision metrics and supporting metrics for every initiative, especially in ambiguous domains where north-star KPIs are not easily defined
- Own experiment design end-to-end: define test contracts and hold the line on experimental rigor
- Drive experiments to decisions: ensure every test is tied to a concrete decision or roadmap change, and prevent KPI drift by proactively aligning stakeholders
- Move fast and demonstrate extreme ownership of outcomes: actively track, unblock, and push for value, and propose concrete options when faced with trade-offs
- Maintain 100% lockstep with partners: Maintain 100% lockstep with partners in ML Research and Engineering, Merchandising, and Analytics with detail orientation and ensure alignment on strategy, outcomes and requirements/timelines
- Communicate with clarity and conciseness: Communicate with clarity and conciseness, with high signal-to-noise in written documents, messaging, presentations and verbal discussions
- Proactively keep stakeholders informed: Proactively keep stakeholders informed of progress, risks, and blockers with specific impacts, options and recommended paths
We’re Excited If You Have
- 7+ years of product management experience, ideally in recommendations, personalization, search/discovery, or ML/AI-driven product areas
- Strong analytical rigor: comfort with experiment design, A/B testing, statistical significance, and metric frameworks. Ability to define, defend, and prevent drift on KPIs
- Proven ownership and bias to action: track record of driving complex, ambiguous initiatives end-to-end — from problem framing through strategy to shipped outcomes. You escalate early, propose alternatives, and don't let work stall
- Technical depth: experience working closely with ML engineers and data scientists on ranking, optimization, and signal-based systems. Ability to engage meaningfully in technical discussions about model performance, feature engineering, and system architecture
- Excellent cross-functional leadership: demonstrated ability to influence and drive alignment across engineering, data science, design, business, and content teams without direct authority
- Outcome-oriented experimentation mindset: experience designing and running experiments that drive real product and business decisions
- Clear, concise communicator: strong written and verbal skills; ability to present strategy, trade-offs, and recommendations to executive leadership
- Experience in streaming, media, entertainment, or large-scale content platforms
- Familiarity with recommendation systems, content ranking, collaborative filtering, or personalization at scale (100M+ users)
- Experience with GenAI/LLM applications in product discovery, content understanding, or signal generation
- Experience operating across multiple product surfaces (TV, mobile, web) with different user behaviors and constraints
- BS/MS in a quantitative field (engineering, CS, mathematics); MBA a plus
#LI-SSC
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the team
Join the Home Screen team — the engineers behind Roku's home screen and the experiences that greet every Roku user the moment they turn on their TV. Our work ships to hundreds of millions of devices worldwide.
We move fast and hold a high bar. Engineers on this team own features end-to-end — from the OS platform layer through BrightScript/SceneGraph UI to cloud integration — and collaborate closely with product, design, and cross-functional engineering partners to bring ambitious ideas to production at scale.
About the role
We are looking for a Senior Software Engineer to take deep ownership of the OS UI platform that powers the Roku home screen and Browse Surfaces. You will drive architecture and delivery across the OS client stack: SceneGraph component framework, performance and memory optimization, and the user-facing experiences built on top of it.
For California Only - The estimated annual base salary for this position is between $370,000 - $400,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.
What you'll be doing
- Architect and implement features across the Roku home screen & Browse Surfaces, through SceneGraph UI to cloud-backed content experiences
- Drive performance, memory efficiency, and reliability of the home screen on constrained embedded hardware
- Own features end-to-end: design, implementation, testing, and production rollout to hundreds of millions of devices
- Collaborate with UI/UX design, product management, and cloud engineering teams to define and deliver new user experiences, including AI-driven features
- Mentor engineers, establish technical standards, and evangelize best practices across the team
- Investigate and resolve complex platform issues affecting millions of users
We're excited if you have
- 7+ years of software engineering experience, with significant time in embedded or consumer electronics environments
- Deep proficiency in C++ and/or BrightScript/SceneGraph/TypeScript (or equivalent TV platform SDK experience)
- Proven track record in architecting and shipping features on constrained embedded platforms (memory, CPU, GPU)
- Strong understanding of multi-threaded development, concurrency, and real-time programming
- Experience building and shipping UI experiences on embedded or consumer electronics platforms
- Knowledge of Linux operating systems and system-level debugging
- Experience with API design and cross-team integration
- Familiarity with AI/ML and LLM technologies, with interest in applying them to content and UI experiences
- Strong communication skills — this role involves frequent collaboration across engineering, product, and design
- B.S. or M.S. in Computer Science or equivalent engineering experience
#LI-SG1
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the role
Roku pioneered streaming to the TV and continues to innovate and lead the industry. While we are well-positioned to help shape the future of television and streaming media around the world, continued success depends on experienced embedded software engineers like you joining the Roku OS Streaming Media team.
In this role, you will be part of the team that's responsible for Roku’s Media engine, implementing new features and designing algorithms that deliver flawless video playback to all our users. This includes optimizing network interactions between our players and CDN, implementing adaptive streaming stacks, integrating DRM systems, and developing tools to monitor performance.
The features and performance improvements you implement directly impact millions of users every day. This is a great role for an experienced professional with innovative ideas for complex problems and the ability to translate them into ultra-reliable software.
For California Only - The estimated annual salary for this position is between $197,900 - $270,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.
What you'll be doing
- Extend Roku's player feature set to support new business opportunities and the latest multimedia specifications
- Continuously improve playback on Roku devices, and deliver our users a world-class player experience under all operating conditions
- Work independently and in small groups to deliver new features and functionality on-time
- Demonstrate excellence in C++ & Python development and deliver high-performance, ultra-reliable software
- Demonstrate impeccable software design skills, make extensive changes to an existing C++ code base that are modular and easy to maintain
- Demonstrate the ability to dig deep to find solutions to tough problems affecting our users
We're excited if you have
- 2 – 5 years of relevant software development experience
- Bachelor’s or master’s in computer science or equivalent engineering experience.
- Extensive programming experience with C++ and Python
- Proven track record of success with embedded system development projects and Linux operating systems.
- Deep understanding of multi-threaded development and concurrency management.
- Experience in API design and developing portable code.
- Been able to accurately estimate software tasks and work to schedule.
- Architected, implemented, and tested systems for performance & low resource consumption.
- A good understanding of open source development
- A familiarity with AI/ML and LLM technologies.
- Experience with other consumer electronics OS’es (e.g. Android, FreeRTOS)
- Knowledge of TCP/IP, TLS, HTTP, DRM technologies like PlayReady, Widevine and streaming protocols such as WebRTC, HLS, and/or DASH is important.
- Experience working with video (H.264, H.265, AV1) & audio (aac, ac3) codecs.
#LI-SR2
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
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Senior Manager, Product Lead
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We're looking for a Senior Manager, Product Lead to lead, grow, and empower a team of product managers building for our AI-powered litigation platform. This role sits at the intersection of product strategy and people leadership and is a great fit for a product leader who cares deeply about craft, is comfortable with technical ambiguity, and has a track record of shipping exceptional enterprise AI products.
This role will be focused on Everlaw’s Core Discovery product category, which enables legal professionals to quickly understand and act on data at scale with AI-assisted workflows built on principled design, rigorous controls, and deep workflow expertise. In this role, you will act as the voice of the customer within the organization, ensuring products meet customer needs and expectations, and will engage directly with customers and industry stakeholders to gather insights and validate product concepts.
At Everlaw, our mission is to promote justice by illuminating truth. Our company culture is open and vibrant and we’re committed to the professional growth of our team members, offering an annual learning and development stipend and regular check-ins with managers regarding career goals. If you’re looking for a place that values passion, integrity, thinking big, and a desire to learn, we’d love to hear from you!
We do not believe in the ‘perfect’ candidate. If you’re passionate about the role and feel you can contribute meaningfully, we encourage you to apply. This is a full-time position based in our Oakland, California office, with a hybrid schedule: in-office Monday, Wednesday, and Thursday.
How we're different
- Built for the AI Era: Everlaw has been committed to AI-assisted workflows for over a decade with tools like predictive coding and document clustering. We’ve continued this leadership into the generative AI era, with best-in-class features like Deep Dive and Coding Suggestions. We don’t layer AI onto our product - we architect intelligent, trustworthy systems grounded in enduring trust that deliver value to users every day.
- Culture and Growth at the Forefront: With a generous L&D budget, clearly codified values, and a commitment to long-term thinking, integrity and discipline, we create an environment where careers grow with intention and purpose.
- Thoughtful Onboarding: Our structured onboarding program ensures you understand our product, customers, and market and quickly integrates you into the team, setting you up to contribute thoughtfully from day one.
- Impact That Matters: Through Everlaw for Good, we offer our technology free or at heavily discounted rates to journalists, nonprofits, and pro bono attorneys to advance equitable access to justice beyond the boundaries of business.
In your role, you'll...
- Lead Product Strategy, Vision & Execution: Work with your team to define and own a multi-year strategy and roadmap aligned with company priorities and customer needs.
- Build a First-Class AI Product Experience: Guide PMs in ensuring our AI feature set is best in class for the dynamically evolving legal AI space. You’ll develop a deep understanding of the market, competitive landscape, and user behavior to inform prioritization decisions.
- Develop Product Talent: Lead and elevate a team of 3–6 product managers, fostering a culture of sharp analytical thinking and product excellence. Drive their success through clear feedback, mentorship and bespoke growth plans, while employing a consistent strategy for long-term career development.
- Elevate Product Craft: Model disciplined, critical use of AI across the full product development lifecycle, and develop AI-augmented ways of working with clear norms around when and how to soundly incorporate AI-generated output into the final work product.
- Scale and Drive Team Accountability: Grow the team through intentional hiring and operational refinement, while setting clear expectations and upholding our values and behavioral standards. Drive high performance and accountability, connecting work to the company vision and ensuring every PM is empowered to deliver measurable impact.
- Drive Cross-Functional Excellence: Partner with the design team to ensure user experience is a first-class citizen. Shepherd product development and enable go-to-market teams so they're armed to tell the right story and support customers with confidence. Identify R&D-wide process gaps and lead execution of improvements.
- Model People Leadership: Lead, motivate and influence others across your team and the business. You’ll serve as a senior PM stakeholder in leadership forums, business reviews, and executive presentations. You will drive cross-functional collaboration, and foster an inclusive environment where diverse perspectives are valued.
About you
Required Experience
- 7+ years of product management experience
- 3+ years managing teams of product managers
- Proven track record of defining product strategy and connecting it to measurable business outcomes
- Strong analytical skills and the ability to leverage data to uncover underlying business drivers and translate raw insights into strategic, timely product decisions
- Experience shipping products at scale in a fast-paced environment for sophisticated users and complex workflows (enterprise, B2B SaaS, data-heavy, or regulated domains)
- Experience building or managing ML or LLM-powered products, with a nuanced view of where AI genuinely compounds value for customers
- Excellent people and project management skills; process-driven with the ability to communicate complex concepts and drive teams toward a shared vision
- A strategic leader with a deep obsession for product craft and detail
Work Authorization
- You are authorized to work in the United States. Please note that currently, Everlaw is not sponsoring employment visas for this role.
Total Rewards
- The expected salary range for this role is between $217,000 - 275,000. The final offered salary will be dependent upon many factors including the candidate’s experience and skills. The base pay range is subject to change in the future.
- Participation in our equity program
- 401(k) retirement plan with company matching
- Health, dental, and vision insurance
- HSAs and FSAs for various expenses
- Company-sponsored life and disability insurance
- Paid parental leave and sick leave
- 17 paid vacation days plus 11 federal holidays
- Access to mental health and wellness resources like membership to Modern Health
- A generous L&D stipend for your personal growth
- Find out more about our Benefits and Perks
Perks
- A beautiful office in Uptown Oakland, just steps from the BART line and dozens of restaurants and walking distance to Lake Merritt
- Flexible work-from-home days on Tuesdays and Fridays
- Monthly home internet reimbursement
- Ability to select your hardware of choice (Mac or PC) and customize your desk setup
- A wide variety of snacks and beverages in the office
- Company-wide out-of-the-box events and fun activities with your team
- Time off for company-sponsored volunteer events and 4 paid hours per quarter to volunteer at a charitable organization of your choice
- Learning and career development opportunities (and a generous budget!)
- #LI-KP1
- #LI-Hybrid
Ready to apply?
Apply to EverlawArcher is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise.
Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members.
We are seeking a highly motivated and experienced Senior FinOps Engineer to join our team. This role is central to managing, optimizing, and forecasting our technology spending across multiple platforms, including major cloud providers, monitoring tools (like Datadog), and emerging technologies such as Large Language Models (LLMs). The ideal candidate will possess a strong blend of financial acumen, cloud engineering expertise, and excellent communication skills to drive cost-conscious decision-making across the organization.
Responsibilities
Financial Management and Optimization
- Monitor, analyze, and report on technology spending across various cost centers, including cloud infrastructure (AWS, Azure, GCP, etc.), Datadog licensing, and usage of LLM APIs/services.
- Develop and maintain detailed monthly financial reports and dashboards for leadership, providing clear insights into spend trends, variances, and optimization opportunities.
- Collaborate with engineering and product teams to implement cost-saving initiatives, such as identifying underutilized resources, negotiating reserved instance commitments, and optimizing service architectures.
- Establish and track key FinOps metrics (e.g., unit cost, utilization rate, efficiency gains) and drive accountability for spending.
- Conduct monthly deep-dive analyses on significant cost drivers, making actionable recommendations for adjustment and optimization.
Tooling, Reporting, and Automation
- Administer and configure FinOps tools and platforms to ensure accurate cost allocation, showback/chargeback mechanisms, and real-time visibility into spending.
- Develop and maintain custom scripts and automation workflows to enforce spending policies and manage resource lifecycles (e.g., auto-shutdown of non-production environments).
- Standardize and streamline reporting processes, leveraging data visualization tools to present complex financial data simply and effectively.
Vendor and Contract Management
- Assist in the evaluation, negotiation, and renewal processes for technology contracts, including cloud enterprise agreements, Datadog licenses, and LLM service subscriptions.
- Work closely with procurement and legal teams to ensure contracts align with business needs and financial objectives, focusing on optimal pricing and usage tiers.
- Monitor vendor performance against contractual agreements and track realization of anticipated savings.
Governance and Education
- Establish and champion FinOps best practices and governance frameworks across engineering and finance teams.
- Develop and deliver training and documentation to educate teams on cost management tools, cloud pricing models, and optimization techniques.
- Act as a central point of contact for all cloud, Datadog, and LLM spending inquiries.
Qualifications
Required Skills and Experience
- 3+ years of experience in a FinOps, Cloud Financial Management, or similar role.
- Deep understanding of major public cloud billing and pricing models (AWS, Azure, or GCP).
- Proven ability to build and maintain comprehensive financial reports and dashboards for executive leadership.
- Experience administering or utilizing cost monitoring and observability tools, with specific knowledge of Datadog usage/licensing preferred.
- Proficiency in data analysis tools (e.g., SQL, Python, Excel) and data visualization platforms (e.g., Tableau, Power BI, Looker).
- Familiarity with contract negotiation principles and vendor management processes.
- Strong communication skills, with the ability to translate technical cost data into clear business terms.
Desired Qualifications
- FinOps Certified Practitioner (FOCP) or FinOps Certified Professional certification.
- Experience managing costs related to machine learning, AI, or LLM services (e.g., OpenAI, Anthropic, or cloud-native LLM services).
- Familiarity with Infrastructure as Code (IaC) tools (e.g., Terraform, CloudFormation) and their role in cost governance.
- Bachelor’s degree in Computer Science, Finance, Business, or a related quantitative field.
Successful candidates must be able to demonstrate U.S. citizenship, permanent residency, or status as a protected individual to satisfy ITAR, contractual, and/or regulatory requirements.
Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications.
At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $133,400 - $200,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.
Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.
Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.
Information collected and processed as part of any job applications you choose to submit is subject to Archer's Candidate Privacy Policy.
Archer is unable to provide work visa sponsorship for this position at the present time.
Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.
Archer Aviation does not engage with external recruiting agencies/individual recruiters with whom it does not have a prior written agreement. Archer reserves the right to make use of any unsolicited resumes that it receives and bears no responsibility for payment of any fees asserted from the use of unsolicited resumes. If you are a recruiting agency or individual recruiter wishing to do business with Archer, please reach out to People@archer.com. All employment processes are managed by the Archer People Team.
Ready to apply?
Apply to Archer
Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise.
Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members.
As a Senior DevOps Engineer, you will be a key contributor to our infrastructure strategy, focusing on automation, stability, and performance across both cloud and on-premise environments. You will drive best practices in CI/CD, configuration management, and monitoring, with a specific focus on optimizing the deployment and operation of large language models (LLMs) and related technologies.
Responsibilities
- Design, deploy, and manage highly available, scalable infrastructure using Kubernetes and Docker across public cloud (e.g., AWS, GCP, Azure) and on-premise data centers.
- Develop and maintain robust Configuration Management solutions (e.g., Ansible, Terraform) for consistent environment provisioning and management.
- Implement and manage CI/CD pipelines to facilitate rapid, reliable, and automated software releases.
- Administer and troubleshoot operating systems, encompassing both Linux and Windows environments.
- Implement and optimize observability practices using monitoring tools like Datadog for logging, tracing, and alerting.
- Spearhead the operational deployment, scaling, and maintenance of LLM infrastructure, leveraging tools like LiteLLM, OpenRouter, or similar LLM orchestration/gateway technologies.
- Automate repetitive tasks and system operations using scripting languages, primarily Bash and Python.
- Collaborate closely with development, MLOps, and security teams to ensure infrastructure supports product requirements and compliance standards.
- Participate in an on-call rotation to ensure service reliability and responsiveness to incidents.
Qualifications
Required Skills
- 5+ years of professional experience in a DevOps, SRE, or infrastructure engineering role.
- Deep expertise in containerization and orchestration, specifically Kubernetes (design, deployment, and troubleshooting) and Docker.
- Strong proficiency in managing infrastructure in both Cloud (e.g., AWS, GCP, Azure) and On-Premise environments.
- Expert-level administration skills in Linux and strong working knowledge of Windows Server environments.
- Proven experience with Infrastructure as Code (IaC) and Configuration Management tools (e.g., Terraform, Ansible).
- High proficiency in scripting and automation using Python and Bash.
- Extensive experience with monitoring and observability platforms, especially Datadog (or comparable tools like Prometheus/Grafana, New Relic).
- Hands-on experience deploying and managing technologies related to Large Language Models (LLMs), such as utilizing LiteLLM, OpenRouter, or setting up and managing LLM serving endpoints.
Nice-to-Have Skills
- Experience with specific Kubernetes distributions (e.g., K3s, Rancher, OpenShift).
- Familiarity with network configuration, firewalls, and security best practices for hybrid environments.
- Experience in MLOps workflows and related tools (e.g., MLflow, Kubeflow).
- Certifications such as CKA, CKAD, or relevant cloud provider certifications.
Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications
At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $133,400 - $200,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.
Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws. Successful candidates must be able to demonstrate U.S. citizenship, permanent residency, or status as a protected individual to satisfy ITAR, contractual, and/or regulatory requirements.
Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.
Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.
Information collected and processed as part of any job applications you choose to submit is subject to Archer's Candidate Privacy Policy.
Archer is unable to provide work visa sponsorship for this position at the present time.
Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.
Archer Aviation does not engage with external recruiting agencies/individual recruiters with whom it does not have a prior written agreement. Archer reserves the right to make use of any unsolicited resumes that it receives and bears no responsibility for payment of any fees asserted from the use of unsolicited resumes. If you are a recruiting agency or individual recruiter wishing to do business with Archer, please reach out to People@archer.com. All employment processes are managed by the Archer People Team.
Ready to apply?
Apply to Archer
Staff Engineer, AI & Business Operations
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The Company:
Faraday Future (FF) is a California-based mobility company, leveraging the latest technologies and world’s best talent to realize exciting new possibilities in mobility. We’re producing user-centric, technology-first vehicles to establish new paradigms in human-vehicle interaction. We’re not just seeking to change how our cars work – we’re seeking to change the way we drive. At FF, we’re creating something new, something connected, and something with a true global impact.
Your Role:
As Staff Engineer, AI & Business Operations, you will be responsible for building an enterprise-grade AI Agent platform that elevates large model capabilities from an “information generation tool” to “executable business productivity,” driving AI to play a deep role in the company’s core business processes and operational decision-making. You will lead the design and implementation of an enterprise-level Agent system similar to OpenClaw, connecting AI models, enterprise data, and business systems to deliver an end-to-end closed loop: task understanding → data retrieval → decision generation → automated execution. The platform will serve sales and commercial systems and gradually expand to enterprise operations and management scenarios.
Key Responsibilities:
- AI Agent Platform Development: Design and implement an enterprise-grade AI Agent platform (Agent Runtime) supporting task understanding, planning, multi-step execution, and state management (memory). Build a unified Tools Layer that encapsulates enterprise APIs, data services, and operational capabilities, enabling Agents to securely invoke CRM, ERP, data platforms, and other systems. Design multi-Agent and multi-step collaboration mechanisms to support automated execution of complex business workflows.
- Workflow Automation & Orchestration: Based on OpenClaw or similar frameworks, build cross-system task orchestration capabilities to achieve a closed loop from AI-driven insights to business execution. Design secure and controllable execution mechanisms including approval nodes, human-in-the-loop collaboration, and rollback strategies. Drive AI automation in business processes such as customer follow-up, task generation, data updates, and process triggering.
- AI Enablement for Sales & Commercial Systems: Build AI Copilot and Agent capabilities to support sales operations, lead management, and customer engagement. Integrate with CRM, CPQ, order management, and customer service systems to achieve deep fusion of AI and business processes.
- AI Enablement for Enterprise Strategy & Operations: Collaborate with management and operational teams to identify AI application scenarios in revenue growth, conversion optimization, customer operations, cost control, and risk management. Build a Decision Copilot for leadership to support data-driven decision-making. Connect data platforms and AI systems to enable the flow: Data → Insights → Decisions → Execution (via Agent automation). Establish a quantitative evaluation system linking AI outcomes to business KPIs such as revenue, conversion rates, and efficiency gains.
- RAG & Enterprise Knowledge System: Build an enterprise-grade Retrieval-Augmented Generation (RAG) system integrating knowledge bases, business data, and real-time information. Support permission-aware retrieval, citation tracing, result explanation, and temporal sensitivity controls. Optimize embeddings, indexing strategies, reranking, and caching mechanisms to improve accuracy and performance.
- Security, Governance & Production Systems: Design security and governance mechanisms for AI systems, including execution tiering (read-only / low-risk / high-risk operations). Build a comprehensive audit and compliance framework to make AI behavior traceable and explainable. Establish a production-grade evaluation system (offline + online), A/B testing, and continuous optimization processes.
- Observability & Platform Engineering: Build AI system observability capabilities including logging, tracing, and metrics. Monitor model calls, tool execution paths, latency, and costs. Drive platform engineering efforts to standardize and scale AI capabilities across the organization.
- Technical Leadership: As a Staff Engineer, lead system architecture design and key technical decisions. Drive AI capabilities from PoC to organization-wide scaled deployment. Guide engineering teams on best practices in Agent development, automation, and AI applications. Bridge technology and business to advance the AI strategy.
Basic Qualifications:
- Education: Bachelor’s degree or above in Computer Science or a related field.
- Experience: 7+ years of software engineering experience, including 2–3 years of experience with AI/LLM/Agent systems.
- Backend Engineering: Strong backend engineering skills with proficiency in Python (core), or Java / Node.js.
- Agent Development: Hands-on experience building AI Agent / automated execution systems (tool calling, multi-step tasks, workflows).
- Retrieval & Search: Familiarity with RAG, vector databases, retrieval, and reranking mechanisms.
- Systems Integration: Experience with API design, system integration, and distributed architecture.
- Cloud Native: Cloud-native experience with AWS/GCP, Docker, and Kubernetes.
- Security: Familiarity with OAuth2/OIDC, access control, and security-by-design principles.
- Business Acumen: Ability to translate business problems into AI solutions.
- Collaboration: Strong cross-functional communication and influence skills.
Preferred Qualifications:
- OpenClaw Experience: Experience with OpenClaw or similar Agent / automated execution frameworks.
- Enterprise AI Platform: Experience building enterprise-grade AI platforms or internal tooling platforms.
- Business Systems: Experience with CRM, ERP, RevOps, or commercial systems.
- AI + Data Platform: Experience combining AI with data platforms or BI systems.
- Multi-Agent Orchestration: Familiarity with multi-Agent collaboration and complex workflow orchestration.
- Business Impact: Proven track record of using AI to drive measurable improvements in business KPIs.
- Enterprise AI Transformation: Experience leading enterprise AI transformation or scaling AI deployments.
- IT / Infrastructure Automation: Experience with IT / infrastructure automation (API / SSH / network devices).
Salary Range:
($130K-$150K DOE) plus benefits and incentive plans
Perks + Benefits
- Healthcare + dental + vision benefits (Free for you/discounted for family)
- 401(k) options
- Casual dress code + relaxed work environment
Faraday Future is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Ready to apply?
Apply to Faraday Future
Data Product Enablement Specialist
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Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.
ABOUT THE JOB
Anduril is building the future of defense technology, and a critical component of this mission is a trusted, unified, and intelligently structured data foundation that fuels aggressive AI-driven innovation. We are seeking an accomplished and passionate Data Product Enablement Specialist to champion the adoption and effective utilization of our enterprise semantic layer. Reporting to the Master Data Management (MDM) team, this pivotal role will act as a critical bridge between business intelligence needs and technical data solutions, actively shaping the semantic layer's development and empowering Anduril's diverse teams, from data scientists and application developers to business analysts, to leverage it for rapid application building, advanced analytics, and AI initiatives.
You will be a key contributor to the MDM Center of Excellence (CoE), working closely with business and technical stakeholders to define the semantic landscape. You will help translate complex technical data structures (PLM, MES, ERP, Foundry, Databricks) into intuitive, business-friendly ontology objects, and then serve as the primary expert and advocate for these models through hands-on workshops, hackathons, office hours, and comprehensive training programs. Your work will directly accelerate AI-driven application development, foster a vibrant culture of data self-service, and ensure that Anduril's data foundation scales to meet our aggressive growth and IPO readiness targets.
WHAT YOU'LL DO
- Contribute to Semantic Layer Design, Data Definition & Governance: Actively participate in the design and definition of the enterprise semantic layer, collaborating with Data Architecture, Data Platform, MDM, and business teams. This includes providing prioritization guidance on the development of the golden record based on business need, advising on semantic model structures, critical attributes on data entities, data relationships, and business logic within Anduril's Ontology. Partner with SMEs to build comprehensive data dictionaries and inventories. As a key member of the MDM CoE, contribute to the development and enforcement of data governance policies and data quality standards, while continuously gathering user feedback and collaborating closely with MDM, Data Platform teams, and relevant platform product teams (e.g., Palantir Foundry) to prioritize and implement semantic layer enhancements.
- Champion Semantic Layer Adoption & Operational Enablement: Lead the charge for semantic layer adoption, acting as the primary advocate and subject matter expert for all user personas. This includes designing and delivering comprehensive enablement programs (workshops, bootcamps, office hours, hackathons, documentation, and learning resources) and managing day-to-day operational workflows like routing complex issues, triaging support questions, and overseeing user access provisioning and security group management in close collaboration with InfoSec and Compliance.
- Create Intuitive Learning Resources & Decentralize Support: Develop and maintain high-quality training materials, documentation, best practices guides, and reusable usage patterns to empower users for self-service data consumption. Identify, cultivate, and equip power users across business domains to serve as local semantic layer champions, accelerating peer-to-peer learning and reducing reliance on centralized support. Build a scalable enablement ecosystem where knowledge compounds organically across teams.
- Consult & Facilitate AI-Driven Solutions: Provide guidance and direct support to data scientists, application developers, and business analysts on how to effectively query, integrate with, and maximize value from the semantic layer. Directly enable development teams by showcasing optimal methods for consuming semantic/gold layer data.
- Translate & Evangelize Strategic Value: Communicate the strategic value and practical benefits of the MDM-fueled semantic layer to diverse audiences, from engineers to executive stakeholders, clearly articulating how it accelerates innovation and ensures data trust, aligning with business objectives and IPO readiness.
REQUIRED QUALIFICATIONS
- Minimum of 6 years of progressive experience in Data Enablement, Data Analytics, Data Architecture, or Data Product roles, with a strong focus on user empowerment and semantic layer design.
- Exceptional ability to operate as a bridge between business and technical teams, translating complex business problems into clear data requirements, semantic model specifications, and data dictionary definitions that directly shape the enterprise golden record and ontology.
- Proven hands-on experience leveraging data platforms for data modeling, governance, and consumption patterns.
- Proven experience with Master Data Management principles and their application in building trusted data foundations, including data quality, governance, stewardship, and data lifecycle management.
- Familiarity with modern data platforms and tools (e.g., SQL, Python, Tableau, data modeling) and their integration points with semantic layers.
- Demonstrated experience designing, developing, and delivering engaging technical training programs, workshops, and hackathons, with a track record of driving adoption and building communities of practice.
- Excellent communication, presentation, and stakeholder management skills, capable of articulating complex data concepts as clear, actionable insights for diverse audiences.
- Understanding of AI/ML concepts and how semantic layers facilitate feature engineering and model development.
- Familiarity with data governance, metadata management, data lineage, and user access management as they pertain to data trust, security, and compliance (e.g., ITAR, CUI).
PREFERRED QUALIFICATIONS
- Experience in highly regulated industries (e.g., defense, aerospace).
- Direct experience integrating semantic layers with LLM agents or Digital Twin platforms.
- Certification in relevant data platforms (e.g., Palantir Foundry, Databricks).
- Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related field.
The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:
Benefits
At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits.
Protecting Yourself from Recruitment Scams
Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.
To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:
-
No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.
- Please always verify communications:
- Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an
@anduril.comaddress. - Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com.
- Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an
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Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.
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What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.
Data Privacy
To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.
By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.
Ready to apply?
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Software Engineer, AI Agent
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Most engineers ship features. You'll ship outcomes, directly in the hands of customers, on live systems, where it actually counts. And you'll do it faster than anyone thought possible.
The Company
Sendbird is on a mission to build the AI workforce of tomorrow. For over a decade, we built the infrastructure behind conversations—chat, voice, video, messaging APIs—and became the #1 CPaaS platform for in-app communications. 4,000+ brands trust us. 7 billion messages flow through our platform every month. 300 million monthly active users.
We powered conversations for DoorDash, Match Group, Noom, Yahoo Sports, Rakuten, and thousands of others. We were good at what we did. Really good.
We also saw it early: AI would fundamentally reshape how businesses talk to customers. The infrastructure we'd spent a decade building would become commoditized. The value would move up the stack—into intelligence, into experience, into outcomes.
We had a choice: protect what we built, or reinvent ourselves.
We chose reinvention.
In December 2024, we made the full strategic pivot to AI-first customer experience. By February 2025, we'd launched our AI agent for enterprise CX—built on a decade of conversation data, now with intelligence on top. And in November 2025, we rebranded to Delight.ai.
The name says it all. AI's real promise isn't efficiency or cost savings. It's giving customers back something they lost—the feeling of being truly understood and cared for. Not satisfied. Delighted.
The Product
Delight.ai is the AI concierge for customer experience. Most AI agents forget you the moment the conversation ends. Ours doesn't. Delight.ai builds memory over time, learns preferences, and connects context across every channel—chat, SMS, email, voice, WhatsApp—without losing the thread. We're building AI that makes customers feel understood, seen, and remembered.
Why Software Engineers for our AI Agents?
AI agents don't fail in demos. They fail in production, when the edge case hits, the prompt breaks, or the integration misbehaves in front of a real customer. That gap between "it works in the sandbox" and "it works in the wild" is exactly where this role lives.
We're deploying AI agents for some of the world's biggest brands. Each one has unique workflows, data, and stakes. We need engineers who can sit across from a customer, understand the problem, and build the solution fast, not hand off a spec and wait. If you treat AI as a core part of your toolkit and not an afterthought, you'll move at the speed this role demands.
The Role
You'll own the full technical lifecycle of customer AI agent deployments, from first integration to live monitoring, working at the intersection of product, engineering, and customer outcomes. This role is for engineers who use AI to compress timelines, ship higher-quality work, and want their impact felt immediately, not six months from now.
You might be this person if:
- You think in systems — inputs, outputs, failure modes — and you naturally ask "what happens when this breaks?" before anyone else does
- You've debugged something live, under pressure, with a customer watching, and you didn't flinch
- You use AI tools daily to prototype, debug, and iterate, and you've figured out how to get 10x the output without cutting corners on quality
- You read a system prompt the way a compiler reads code, spotting logic gaps, unintended behaviors, and edge cases others miss
- You've built something end-to-end, frontend to backend to deployment, and you're proud of how it actually held up
- You learn fastest by building, not by reading docs, and you've shipped something with a new API within days of touching it for the first time
- You care about what the customer actually experiences, not just whether the tests pass
- Ambiguity doesn't slow you down. You'd rather build a rough solution and iterate than wait for a perfect brief
You need to have:
- 2-3 years of hands-on software engineering experience in full-stack or backend development
- Strong Python proficiency and the ability to write clean, maintainable code under real-world constraints
- Practical experience with React and modern JavaScript/TypeScript on the frontend, plus backend frameworks like Node.js, Django, or Express
- Hands-on experience with LLM APIs (e.g., OpenAI, Claude) or agent frameworks such as LangChain
- Familiarity with RAG pipelines, knowledge base integration, and cloud deployment platforms (e.g., AWS Lambda, Vercel, GCP Cloud Functions)
What you'll actually do:
- Deploy production-grade AI agents tailored to each customer's environment, owning setup, configuration, and go-live
- Tune system prompts and agent behaviors against real-world use cases, using AI-assisted workflows to move from hypothesis to working solution faster than a traditional dev cycle allows
- Prototype and ship fast, leveraging agentic coding tools to build agent interfaces, dashboards, and backend integrations with Next.js, React, and modern APIs
- Integrate RAG pipelines and knowledge bases that give agents the context they need to perform
- Monitor live deployments with logging, metrics, and observability so issues surface before customers notice them
- Collaborate with Forward Deployed PMs, core product, and design to turn customer needs into working solutions, often building a prototype before the meeting ends
- Lead technical demos, document implementation decisions, and maintain architecture diagrams that actually reflect reality
Added Value
- Prior experience tuning or debugging AI agent performance in live, production environments - or in a forward deployed setting
- Background in 0-to-1 builds, customer-facing implementation, or technical consulting, with a track record of navigating the messiness of real deployments
What we offer:
We take care of the people who build the future. Here's some of what you can expect when you join Sendbird.
- Medical, dental, and vision coverage, on us. Sendbird covers 100% of the premium for our employees and roughly 80% for their dependents.
- Generous time off. 20 days PTO, 13 company holidays, 7 sick days, 2 rest & rejuvenation days, 1 volunteer day, and your birthday off.
- $3,500 annual "Be Your Best Self" boost. Spend it on anything that helps you grow. Gym memberships, therapy, books, courses, massages, and more.
- Parental leave for all new parents. Time to be present for the moments that matter most.
- 401(k) from day one. Auto-enrollment, flexible contributions, and access to Vanguard's investment platform.
- HSA & FSA options. Pre-tax accounts to cover healthcare, dependent care, and commuter expenses.
- Life & disability coverage, fully paid. Life insurance and AD&D at 2x your salary, plus short- and long-term disability at no cost to you.
Pay Transparency
For cash compensation, we set standard ranges for all roles based on function, level, and geographic location. To determine our ranges, we utilize a variety of compensation data benchmarked against similar-stage growth companies. A reasonable estimate of the current salary range for this role is $150,000 - $180,000 . This range is specific to the San Francisco Bay market. We consider several factors when making final compensation decisions including, but not limited to, skill sets, experience and training, licensure and certifications, and other business and organizational needs which may cause your specific offer to vary from the amount listed above.
Flexible Work Policy
We offer a flexible work schedule at Sendbird. We also value collaboration and relationship building. With those values in mind, we require all employees to gather with their team in the office three days per week as a minimum. Some of our roles require a more frequent in-office schedule. Please work with your manager to understand the office time requirements for your position.
What diversity and inclusion mean to us
There is no such thing as a perfect candidate and the best employees come from a wide range of backgrounds, experiences, and skill sets. Sendbird is a place where everyone can learn and grow. We respect, promote, and encourage diversity for equal employment opportunities and encourage you to apply if this role excites you.
Why Sendbird
We're not iterating on an existing product. We're building a new category, AI that genuinely delights customers, on top of infrastructure that's already at enterprise scale. This role puts you at the center of that: real customers, real deployments, real impact. If you want to own outcomes and help define what forward-deployed AI engineering looks like, this is the place.
Sendbird is building the AI workforce of tomorrow, and we hire that way too. Learn more about our interview process, how we evaluate candidates, and the role AI plays along the way.
Ready to apply?
Apply to Sendbird
Sendbird is on a mission to build the AI workforce of tomorrow. For over a decade, we built the infrastructure behind conversations—chat, voice, video, messaging APIs—and became the #1 CPaaS platform for in-app communications. 4,000+ brands trust us. 7 billion messages flow through our platform every month. 300 million monthly active users.
We powered conversations for DoorDash, Match Group, Noom, Yahoo Sports, Rakuten, and thousands of others. We were good at what we did. Really good.
We also saw it early: AI would fundamentally reshape how businesses talk to customers. The infrastructure we'd spent a decade building would become commoditized. The value would move up the stack—into intelligence, into experience, into outcomes.
We had a choice: protect what we built, or reinvent ourselves.
We chose reinvention.
In December 2024, we made the full strategic pivot to AI-first customer experience. By February 2025, we'd launched our AI agent for enterprise CX—built on a decade of conversation data, now with intelligence on top. And in November 2025, we rebranded to Delight.ai.
The name says it all. AI's real promise isn't efficiency or cost savings. It's giving customers back something they lost—the feeling of being truly understood and cared for. Not satisfied. Delighted.
Delight.ai is the AI concierge for customer experience. Most AI agents forget you the moment the conversation ends. Ours doesn't. Delight.ai builds memory over time, learns preferences, and connects context across every channel—chat, SMS, email, voice, WhatsApp—without losing the thread. We're building AI that makes customers feel understood, seen, and remembered.
About the Role
Most marketing teams are bolting AI onto a content process built for 2018. We're building one for 2026.
The first is to produce excellent content and drive organic growth. You're an SEO expert across keyword research, on-page, technical, content clusters, and measurement, and you're hungry to figure out GEO, because nobody's a GEO expert yet and the playbook is being written in real time. Own the strategy and the execution that make Delight.ai discoverable wherever buyers and LLMs research: Google, Perplexity, ChatGPT, Claude, Reddit, the podcast feeds CX leaders actually listen to. SEO and GEO aren't checklists you run after the writing is done. They shape what gets written and how. The output is long-form posts, narratives, technical explainers, podcast prep, the occasional Reddit thread that earns its own citation. The bar is high. Your work has to hold up in front of CX leaders running real programs at airlines, retailers, and B2B SaaS companies, and in front of our own product and engineering teams. Sloppy generalities won't survive either audience, and they won't earn citations either.
The second is to build the engine that lets a small team produce work like that at volume. Pipelines, agents, prompt libraries, retrieval layers, schemas, design systems. The connective tissue that turns one writer into a content function. Delight.ai is an AI concierge platform, and our marketing should look like it was made by people who actually believe in the technology they sell. We have the tokens. Use them.
You will join a small, high-agency team at the intersection of product, marketing, and web. We publish for a world where buyers and LLMs decide who gets considered before a sales conversation ever happens — and we're building Delight.ai for that same world. This role reports to the Head of Product Marketing.
If you've built systems like this before, or you're excited to, you'll have a lot of room to shape the approach.
When applying, please submit one content sample (blog post or other long-form piece) that you feel expresses your ability to excel at this role.
How We Work
Content is an engineering discipline here. We hold quality bars, build reusable components, and design systems that let us iterate fast. The best people on this team have mastered the craft by hand. They can write a great post from a blank page, and they use AI to multiply what one person can ship.
You'll work in a stack that may include Claude, Claude Code, and other LLM-native tools for research, and building the agents that orchestrate our content workflows end-to-end. Some of the best workflows on our team started as someone's side project.
If you've built systems like this before, or you're hungry to, you'll have real room to shape the approach.
What You Will Do
- Ship excellent content. Posts, narratives, and explainers about Delight.ai's AI concierge platform, our memory and personalization, omnichannel, and Trust OS pillars, and the CX workflows they unlock. Long-form is the core, but the engine reaches into podcast prep and pitching, Reddit and community participation, and wherever else buyers and LLMs go to form opinions.
- Build the content engine that helps the team move faster and stay sharper:
- Create repeatable, AI-augmented pipelines for drafting, expert review, publishing, and updates
- Build agents and workflows that support the content development process end-to-end
- Design the AEO/GEO foundation — schema, structured outlines, citation-ready formats — that makes Delight.ai discoverable across Google, Perplexity, ChatGPT, Claude, and whatever comes next
- Be customer zero. Use our agents, our flows, our dashboards. Find what's confusing. Push on what doesn't hold up. Your content will read like you've actually deployed AI concierge agents because you have.
- Stay close to the market. Our product, the CX industry, and the way buyers and the models that serve them evaluate vendors are all moving fast. Keep up.
- Close the loop. Track what's working from content to traffic to pipeline across every surface, including which podcast appearances and community conversations actually move pipeline. Learn what humans and models pick up. Iterate.
About You
- 5+ years writing long-form for a living in content marketing, technical writing, developer advocacy, or something close. Show us work that moved something: pipeline, perception, search rankings, or all three.
- Deep SEO expertise. Years of doing the work: keyword research, technical SEO, on-page, content strategy, measurement. You can spec a content cluster, audit a site, and explain why a page isn't ranking without opening a single tool.
- Curious and opinionated about GEO. Nobody's an expert yet. You've been paying attention, you have early hypotheses about what works, and you want to be one of the people who figures it out. Not someone who waits for a best-practices guide to drop.
- Hands-on with AI tools, agents, or automation. You've deployed things, not just written about them, and you can talk through the tradeoffs you made.
- You can collaborate deeply with product and engineering, ask sharp questions, and earn trust through accuracy
- You learn quickly and can turn new domains (a new vertical, a new product capability, a new channel) into clear, comprehensive explanations
- You thrive in a fast-paced environment with high agency and strong ownership
- You have strong opinions about which AI tools work best for what, and a library of custom prompts to back them up
What we offer:
We take care of the people who build the future. Here's some of what you can expect when you join Sendbird:
- Medical, dental, and vision coverage, on us. Sendbird covers 100% of the premium for our employees and roughly 80% for their dependents.
- Generous time off. 20 days PTO, 13 company holidays, 7 sick days, 2 rest & rejuvenation days, 1 volunteer day, and your birthday off.
- $3,500 annual "Be Your Best Self" boost. Spend it on anything that helps you grow. Gym memberships, therapy, books, courses, massages, and more.
- Parental leave for all new parents. Time to be present for the moments that matter most.
- 401(k) from day one. Auto-enrollment, flexible contributions, and access to Vanguard's investment platform.
- HSA & FSA options. Pre-tax accounts to cover healthcare, dependent care, and commuter expenses.
- Life & disability coverage, fully paid. Life insurance and AD&D at 2x your salary, plus short- and long-term disability at no cost to you.
Pay Transparency
For cash compensation, we set standard ranges for all roles based on function, level, and geographic location. To determine our ranges, we utilize a variety of compensation data benchmarked against similar-stage growth companies. A reasonable estimate of the current salary range for this role is $145,000.00 – $170,000.00. This range is specific to the San Francisco Bay market. We consider several factors when making final compensation decisions including, but not limited to, skill sets, experience and training, licensure and certifications, and other business and organizational needs which may cause your specific offer to vary from the amount listed above.
Flexible Work Policy
We offer a flexible work schedule at Sendbird. We also value collaboration and relationship building. With those values in mind, we require all employees to gather with their team in the office three days per week as a minimum. Some of our roles require a more frequent in-office schedule. Please work with your manager to understand the office time requirements for your position.
What diversity and inclusion mean to us
There is no such thing as a perfect candidate and the best employees come from a wide range of backgrounds, experiences, and skill sets. Sendbird is a place where everyone can learn and grow. We respect, promote, and encourage diversity for equal employment opportunities and encourage you to apply if this role excites you.
Why Sendbird
We're not in maintenance mode. We're rebuilding how businesses connect with their customers using AI, and we're moving fast. If you want to own something real, build things that matter, and work at a company that has the infrastructure, the data, and the conviction to lead this shift, this is the place.
Sendbird is building the AI workforce of tomorrow, and we hire that way too. Learn more about our interview process, how we evaluate candidates, and the role AI plays along the way.
Ready to apply?
Apply to Sendbird
Engineering Manager, Onboarding
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Why join us
Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.
Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
Engineering
Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.
What you’ll do
You will lead an engineering team focused on building the systems and product experiences that power customer activation at Brex, including onboarding, account setup, verifications, and integrations workflows that help customers realize value quickly. This role requires strategic thinking, operational excellence, technical leadership, and a deep passion for delivering frictionless, AI-enhanced customer journeys. The ideal candidate is an engineering leader with experience scaling user-facing onboarding systems, delivering high-quality product experiences, and partnering deeply across Product, Design, Operations, and GTM teams.
Where you’ll work
This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!
Responsibilities
- Take an active role in driving business and product strategies, championing a seamless, intuitive, and efficient onboarding experience.
- Collaborate with cross-functional partners across Product, Design, Operations, and Sales to define priorities and deliver delightful customer activation experiences.
- Leverage AI to reimagine and automate onboarding and implementation workflows, improving speed, personalization, and operational leverage.
- Drive execution of the Onboarding roadmap, ensuring timely, high-quality delivery of systems and features that help customers activate and realize value.
- Lead and manage a team of engineers, including hiring, mentoring, performance management, and establishing strong technical direction.
- Drive continuous improvement in engineering processes, technical architecture, and product quality.
- Foster a culture of innovation, collaboration, accountability, and customer obsession across the team.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 6+ years of software engineering experience with strong technical depth
- 3+ years of experience managing or leading engineers in a high-growth environment.
- Strong technical background and understanding of software development principles.
- Expertise leading full-stack engineering teams delivering end-to-end product experiences.
- Regularly works with cross-functional partners (e.g. Product, Design, Operations, Sales) and excels in driving alignment across stakeholders.
- Data-driven mindset with the ability to evaluate impact, measure funnel performance, and optimize activation metrics.
- Track record building AI-powered product experiences, including LLM-driven automation and personalization.
Bonus points
- Experience with data platforms such as Snowflake, Hex, or similar.
- Experience building systems related to onboarding, implementation, identity, workflow automation, customer lifecycle products, or other customer facing experiences.
- You have started your own technology venture or were an early technical founder/employee. We value entrepreneurial spirit & scrappiness!
Compensation
The expected salary range for this role is $240,000 - $300,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.
Brex LLC is a wholly owned subsidiary of Capital One, N.A.
Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.
Ready to apply?
Apply to Brex
Why join us
Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.
Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
Data at Brex
The Data organization develops insights, models, and data infrastructure for teams across Brex, including Sales, Marketing, Product, Engineering, and Operations. Our Data Scientists, Analysts, and Engineers work together to make data—and insights derived from data—a core asset across the company.
What you’ll do
As a senior Data Analyst (DA III), you will own the end-to-end analytics lifecycle for one or more business areas at Brex. You’ll go beyond building dashboards—you’ll frame the right questions, design rigorous analyses, apply statistical methods, and translate your findings into clear recommendations for leadership. You will also serve as a technical leader on the Data Analytics team, mentoring more junior analysts and helping define the standards and best practices that elevate the team’s work.
This role sits at the intersection of analytics, analytics engineering, and business strategy. You’ll work in a modern data stack environment and partner closely with Data Scientists, Data Engineers, and senior leaders across the organization.
Where you’ll work
This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!
Responsibilities
- Own the analytics lifecycle for assigned business areas: from problem framing and data sourcing through analysis, insight generation, and stakeholder presentation.
- Build and maintain dashboards and self-service reporting tools that enable business teams to independently track performance, identify risks, and make data-driven decisions.
- Write production-quality SQL and Python code to extract, transform, and analyze data at scale.
- Collaborate with Data Engineers and Data Scientists to develop and maintain analytical data models, improve data pipelines, and ensure data quality across the organization.
- Partner with leadership across Sales, Operations, Product, Finance, and other departments to identify high-impact analytical opportunities and deliver actionable recommendations.
- Mentor other data analysts and contribute to the development of team standards, documentation, code review practices, and analytical frameworks.
- Proactively identify gaps in data infrastructure, propose improvements, and contribute to the evolution of the team’s tooling and processes.
Requirements
- 5+ years of experience in data analytics, business intelligence, or a related quantitative role.
- 3+ years of experience partnering directly with Sales, Operations, Product, or equivalent business teams as an embedded analytics partner.
- Advanced SQL proficiency, including CTEs, window functions, performance optimization, and working across complex data models.
- Proficiency in Python for data analysis, automation, and modeling (Pandas, NumPy, scikit-learn, or similar).
- Experience with cloud data warehouses, particularly Snowflake (BigQuery and Databricks also valued).
- Hands-on experience with BI and data visualization tools (Looker, Tableau, Hex, or similar).
- Strong stakeholder management skills—proven ability to present complex technical findings to non-technical audiences.
- Experience with generative AI and LLM-based tools (Claude Code, Cursor, GitHub Copilot) to perform and accelerate analyses, automated reporting, and build self-service data tools.
Bonus points
- Demonstrated experience applying statistical methods to business problems (e.g., regression, classification, A/B testing).
- Experience with dbt for data modeling and transformation.
- Experience building and maintaining data pipelines using orchestration tools such as Airflow.
- Experience working with APIs for data ingestion and integration.
- Familiarity with version control systems (Git).
- Experience in fintech, financial services, or payments.
- Track record of leading cross-functional analytics projects from scoping through delivery.
Compensation
The expected salary range for this role is $114,192 - $142,740. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.
Brex LLC is a wholly owned subsidiary of Capital One, N.A.
Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.
Ready to apply?
Apply to Brex
Software Engineer - AI Engineering
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About Applied Intuition
We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments.
Meet our software engineers!
About the role
We are looking for an AI engineer to join a small, high-impact team building the AI capabilities, agent frameworks, and app platform that power every Applied product and the workflows our own engineers rely on daily. This is a 0 to 1 role with real customer demand already behind it and the potential to scale into a major new business line. You’ll operate like a startup within a larger, well-resourced company – with the freedom to experiment, ship fast, and work directly with customers.
At Applied Intuition, you will:
- Design and ship the shared AI infrastructure, frameworks, and tooling that power AI capabilities across Applied’s products and toolings.
- Partner with product teams to identify the highest-leverage AI use cases and take them from idea to production.
- Serve as a GenAI/LLM expert across the company – owning best practices for architecture, safety, evaluation, and deployment.
- Design, build, and ship agentic systems such as background coding agents, AI SRE tooling
- Work directly with customers to understand their needs, demo capabilities, and shape the product roadmap. Both external customers and internal teams are your customers.
We're looking for someone who has:
- A Bachelor's degree in Computer Science, Software Engineering, or equivalent
- 2+ years of experience building and deploying AI/ML-powered features & products
- Hands-on proficiency working with LLMs and agentic architectures.
- Strong software engineering fundamentals and a bias toward shipping production-quality code quickly
- Comfort working across the stack, from backend infrastructure to APIs to frontend work.
- A collaborative mindset and genuine enjoyment of customer interaction – both with external customers and internal teams who depend on your work.
- Proven ability to take initiative and context-switch across multiple high-priority projects in a fast-paced environment
Nice to have:
- Practical ML literacy – you understand model evaluation, data pipelines, and the tradeoffs between approaches
- Background in developer tooling, platform engineering, or internal productivity infrastructure
- Experience working with autonomous vehicle systems or simulation software
Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.
Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.
Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $126,000 - $250,000 USD annually.
Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.
Ready to apply?
Apply to Applied Intuition
Secure Every Identity, from AI to Human
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
Okta’s Business Technology organization builds secure and intelligent internal platforms that power our global workforce. Our AI & Automation team is delivering next-generation tools and experiences by integrating GenAI and intelligent automation into workflows across IT, HR, Finance, Sales, Marketing and Customer Support.
We focus on real-world applications: virtual agents, AI copilots, internal RAG services, and AI-augmented self-service portals — all with scale, governance, and user experience in mind.
The Opportunity
As a Senior Software Engineer, Applied AI, you’ll play a key role in building user-facing and backend systems that leverage GenAI to improve internal experiences and operations. This role requires strong full-stack engineering skills, with an emphasis on both AI integration and building intuitive, performant UIs that make AI accessible and useful to our internal customers.
You’ll work closely with software engineers, product managers, and designers to build secure, intelligent tools for employees across Okta.
What You’ll Do
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Design and build end-to-end GenAI-powered applications, including web-based UIs, API services, and backend orchestration.
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Implement and integrate LLM-based experiences using frameworks like LangChain, LlamaIndex, and tools like OpenAI, Claude, or Gemini.
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Define, implement, and champion operational excellence standards (SLOs, observability, incident response frameworks) for all services deployed.
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Develop responsive, accessible, and modern frontend interfaces using frameworks like React or Vue — with a focus on usability, performance, and trust in AI outputs.
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Build and maintain a library of reusable frontend components and hooks that allow other business delivery teams to easily "drop in" GenAI capabilities into their own applications.
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Build and maintain retrieval-augmented generation (RAG) pipelines with vector search and embedding strategies (e.g., Pinecone, FAISS, Qdrant).
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Collaborate with designers and product managers to rapidly iterate on UX patterns for AI-powered experiences (e.g., prompt inputs, citations, summaries).
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Ensure security, privacy, observability, and test coverage across the full stack.
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Contribute to architecture decisions, engineering standards, and best practices for AI/automation systems.
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Partner with platform and infrastructure teams to ensure services scale reliably across the org.
What You’ll Bring
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5–8 years of software engineering experience with full-stack development, including 2+ years of building AI/ML-driven applications.
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Strong Python development skills and 5+ years experience building cloud-based services using AWS, Docker, and RESTful APIs.
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2+ years of experience in frontend technologies like React, TypeScript, or Vue, and comfort working on UI/UX for internal tools or enterprise applications.
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Hands-on experience with LLM integration, RAG pipelines, prompt engineering, or orchestration frameworks like LangChain or LlamaIndex.
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Strong background in distributed systems, APIs, microservices, container orchestration (ECS/EKS), and cloud platforms (AWS/GCP/Azure).
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Familiarity with secure coding, authentication/authorization, and internal data governance best practices.
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Ability to collaborate across engineering, design, and product teams — with a strong sense of user empathy and technical ownership.
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Bonus: Exposure to design systems, AI evaluation tooling, or real-time application performance monitoring.
Why Join Okta
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Make AI Real: Design and build AI-powered apps used daily by Okta employees.
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Full-Stack Challenge: Tackle end-to-end problems — from LLM orchestration to intuitive UIs.
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Trusted Innovation: Join a team committed to security, ethics, and technical excellence in AI.
#LI-MK1
#LI-hybrid
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Below is the annual base salary range for candidates located in San Francisco Bay Area. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us.
The Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.
Ready to apply?
Apply to Okta
Sr. Technical Product Manager - Data & Applied AI (Sales, Marketing, & GM)
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Role Overview
We are seeking a Sr. Technical Product Manager to lead the strategy and execution of data product, AI/ML system, AI-powered tooling, and automation initiatives across the go-to-market and operational teams embedded within Natera’s core business units (i.e., Oncology, Women’s Health, Organ Health), including Sales, Marketing, and Medical stakeholders.
This role focuses on building, scaling, and leveraging platforms and products that power decision intelligence and activity orchestration across these domains. You will work in close collaboration with ‘S&M + GM’ leaders while building through centralized Data & AI organization platforms, standards, and governance. You will own the full product lifecycle from discovery through production, ensuring solutions are adopted, trusted, and deliver measurable business impact. In doing so, you will work hands-on as an empowered builder of AI and software solutions to improve workflow efficiency, productivity, and quality for the teams you support.
This is a technical product role requiring fluency in data systems, modern data platforms, ML, and AI implementation patterns (and the ability and drive to build with them directly), combined with strong experience and stakeholder intuition across Sales, Marketing, Medical, and related functions.
This role sits at the intersection of business impact and technical depth, with deep visibility into commercial performance and executive decision-making. You will have direct ownership of high-impact initiatives fueling overall organizational success.
What You’ll Do
Strategy & Roadmap
- Define and own the Data & AI product strategy and roadmap for the S&M + GM pod by deeply partnering with business leaders to proactively identify high-impact opportunities, shape problem definitions, and drive aligned priorities
- Translate ambiguous business problems (e.g., churn risk, campaign performance, clinical profile segmentation, next-best-action orchestration) into clear product direction and measurable outcomes
- Own the line between ‘what the business needs’ and ‘what gets built’ end-to-end
Discovery, Experimentation, & Requirements
- Develop deep context on the domain so you can proactively propose solutions rather than field requests
- Be hands-on with data: query datasets, review schemas, and validate assumptions through analysis
- Lead end-to-end product discovery with interviews, workflow mapping, data assessments, ROI modeling, etc.
- Define clear product requirements (PRDs, user stories, acceptance criteria) and success metrics
- Design and run experiments to validate product performance and measure causal impact
- Establish leading indicators and KPIs for proactive product and process health assessments
Delivery, Data, & ML Lifecycle
- Partner with data and AI/ML engineering resources to deliver scalable products and capabilities
- Guide development of robust data pipelines and unified data models (360° views across key entities)
- Own the end-to-end ML lifecycle: feature definition, evaluation, deployment, monitoring, drift detection, and retraining
- Ensure training–serving consistency, model versioning, and clear deployment decision gates
- Establish strong observability across data pipelines and models (data quality, latency, reliability, cost)
AI Productization & Hands-On Building
- Define and implement AI product patterns, including agentic workflows and tool/function-calling integrations
- Build process automations and internal tools that improve workflow efficiency, productivity, and output quality for the teams you support
- Establish evaluation frameworks for LLM-powered features (faithfulness, relevance, safety, cost, latency)
- Implement prompt strategies, guardrails, and continuous evaluation pipelines
Governance, Compliance, & Data Quality
- Ensure products meet regulatory and compliance requirements
- Champion data quality, lineage, and reliability through data contracts and observability standards
- Maintain strong documentation practices (e.g., model cards, dataset documentation, audit trails)
- Partner with governance teams (Security, Legal, Compliance, AI Governance) to operationalize AI responsibly
Adoption, Change Management, & Impact
- Launch products with supporting enablement activities to ensure solutions are embedded in workflows with confidence
- Partner with stakeholders to integrate products into proactive, day-to-day decision-making
- Monitor product usage, performance, and business outcomes to iterate based on data and feedback
- Quantify and communicate impact (e.g., revenue lift, cost reduction, cycle time improvements, forecasting accuracy)
- Influence across Sales, Marketing, Medical, and GM stakeholders through delivery, not authority
Qualifications
Required
- 7+ years of relevant experience (e.g., product management, applied AI/ML engineering, technical founder, forward-deployed engineering), including 3+ years building data products, AI/ML systems, or related platforms
- Demonstrated domain fluency in Sales, Marketing, Field Medical, and/or related commercial/GTM functions
- Strong understanding of sales funnel, marketing funnel, medical affairs funnel, and related funnels to relate product ideas to the overall opportunity landscape
- Familiarity with key domain-relevant tooling (e.g., Salesforce) and associated data
- Strong technical capability (e.g., comfortable scripting, performing EDA, with AI-aided application development)
- Hands-on experience shipping LLM-powered features or automations (e.g., prompting, RAG, tool/function calling, agentic orchestration, evals)
- ML/MLOps literacy (evaluation metrics, experimentation, feature stores, CI/CD, monitoring, drift)
- Familiarity with modern data stacks (e.g., Snowflake, dbt, AWS/SageMaker, Airflow/Dagster)
- Strong stakeholder leadership and communication skills, with the ability to work across technical and business teams
- Experience working in regulated environments (e.g., healthcare, life sciences, fintech)
Preferred
- Experience in healthcare, diagnostics, life sciences, and/or digital health
- Familiarity with healthcare data domains and systems
- Experience with vendor evaluation, platform selection, or external AI tooling ecosystems
- Advanced degree in a technical and/or business discipline
What Success Looks Like
- Production-grade data and AI products are deployed and embedded in day-to-day decision-making workflows
- Process automations and internal tools you build are reducing manual effort and improving output quality across the teams you support
- Measurable improvements seen in key business metrics (e.g., increased sales efficiency, better campaign performance)
- Reliable, high-quality data foundations connect patient, clinical, financial, and commercial insights end-to-end
- AI systems are continuously monitored, evaluated, and improved with measurable business impact
- Stakeholders trust and adopt implemented solutions across both corporate and business-unit teams
- Internal teams have transparent access to the function’s roadmap, trust in delivery against it, and visibility into the evaluation logic that prioritizes initiatives based on their impact to organizational goals
OUR OPPORTUNITY
Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives.
The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you’ll work hard and grow quickly. Working alongside the elite of the industry, you’ll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management.
WHAT WE OFFER
Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program!
For more information, visit www.natera.com.
Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide.
All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws.
If you are based in California, we encourage you to read this important information for California residents.
Link: https://www.natera.com/notice-of-data-collection-california-residents/
Please be advised that Natera will reach out to candidates with a @natera.com email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes.
For more information:
- BBB announcement on job scams
- FBI Cyber Crime resource page
Ready to apply?
Apply to Natera
Sr. Technical Product Manager - Data & Applied AI (Patient Experience & Commercial Operations)
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Role Overview
We are seeking a Sr. Technical Product Manager to lead the strategy and execution of data product, AI/ML system, AI-powered tooling, and automation initiatives across Patient Experience and Commercial Operations functions. This role is focused on improving how patients navigate testing and billing while enabling operational teams to efficiently progress cases from order to completion. You will play a crucial part in supporting initiatives to reduce friction, improve patient trust, and increase operational efficiency, ultimately driving better conversion, collections, and experience.
This role focuses on building, scaling, and leveraging platforms and products that power decision intelligence and activity orchestration across these domains. You will work in close collaboration with domain leaders while building through centralized Data & AI organization platforms, standards, and governance. You will own the full product lifecycle from discovery through production, ensuring solutions are adopted, trusted, and deliver measurable business impact. In doing so, you will work hands-on as an empowered builder of AI and software solutions to improve workflow efficiency, productivity, and quality for the teams you support.
This is a technical product role requiring fluency in data systems, modern data platforms, ML, and AI implementation patterns (and the ability and drive to build with them directly), combined with strong experience and stakeholder intuition across the associated functions. The role has direct ownership of high-impact initiatives that deeply influence organizational success.
What You’ll Do
Strategy & Roadmap
- Define and own the Data & AI product strategy and roadmap for the Patient Experience + Commercial Operations pod by deeply partnering with business leaders to proactively identify high-impact opportunities, shape problem definitions, and drive aligned priorities
- Translate ambiguous business problems (e.g., stuck cases, fragmented patient communication, support inefficiencies, billing friction) into clear product direction and measurable outcomes
- Own the line between 'what the business needs' and 'what gets built' end-to-end
Discovery, Experimentation, & Requirements
- Develop deep context on the domain so you can proactively propose solutions rather than field requests
- Be hands-on with data: query datasets, review schemas, and validate assumptions through analysis
- Lead end-to-end product discovery with interviews, workflow mapping, data assessments, ROI modeling, etc.
- Define clear product requirements (PRDs, user stories, acceptance criteria) and success metrics
- Design and run experiments to validate product performance and measure causal impact
- Establish leading indicators and KPIs for proactive product and process health assessments
Delivery, Data, & ML Lifecycle
- Partner with data and AI/ML engineering resources to deliver scalable products and capabilities
- Guide development of robust data pipelines and unified data models (360° views across key entities)
- Own the end-to-end ML lifecycle: feature definition, evaluation, deployment, monitoring, drift detection, and retraining
- Ensure training–serving consistency, model versioning, and clear deployment decision gates
- Establish strong observability across data pipelines and models (data quality, latency, reliability, cost)
AI Productization & Hands-On Building
- Define and implement AI product patterns, including agentic workflows and tool/function-calling integrations
- Build process automations and internal tools that improve workflow efficiency, productivity, and output quality for the teams you support
- Establish evaluation frameworks for LLM-powered features (faithfulness, relevance, safety, cost, latency)
- Implement prompt strategies, guardrails, and continuous evaluation pipelines
Governance, Compliance, & Data Quality
- Ensure products meet regulatory and compliance requirements
- Champion data quality, lineage, and reliability through data contracts and observability standards
- Maintain strong documentation practices (e.g., model cards, dataset documentation, audit trails)
- Partner with governance teams (Security, Legal, Compliance, AI Governance) to operationalize AI responsibly
Adoption, Change Management, & Impact
- Launch products with supporting enablement activities to ensure solutions are embedded in workflows with confidence
- Partner with stakeholders to integrate products into proactive, day-to-day decision-making
- Monitor product usage, performance, and business outcomes to iterate based on data and feedback
- Quantify and communicate impact (e.g., revenue lift, cost reduction, cycle time improvements, case completion turnaround)
- Influence Patient Experience and Commercial Operations stakeholders through delivery, not authority
Qualifications
Required
- 7+ years of relevant experience (e.g., product management, applied AI/ML engineering, technical founder, forward-deployed engineering), including 3+ years building data products, AI/ML systems, or related platforms
- Demonstrated domain fluency in Patient Experience and/or Commercial Operations
- Strong understanding of patient journeys, support channels (e.g., chat, voice, call centers), and operational workflows that drive conversion and test completion
- Familiarity with key domain-relevant tooling (e.g., patient portals, support platforms) and associated data
- Strong technical capability (e.g., comfortable scripting, performing EDA, with AI-aided application development)
- Hands-on experience shipping LLM-powered features or automations (e.g., prompting, RAG, tool/function calling, agentic orchestration, evals)
- ML/MLOps literacy (evaluation metrics, experimentation, feature stores, CI/CD, monitoring, drift)
- Familiarity with modern data stacks (e.g., Snowflake, dbt, AWS/SageMaker, Airflow/Dagster)
- Strong stakeholder leadership and communication skills, with the ability to work across technical and business teams
- Experience working in regulated environments (e.g., healthcare, life sciences, fintech)
Preferred
- Experience in healthcare, diagnostics, life sciences, and/or digital health
- Familiarity with healthcare data domains and systems, including patient, provider, payer, claims, billing, and clinical trial data
- Experience with vendor evaluation, platform selection, or external AI tooling ecosystems
- Advanced degree in a technical and/or business discipline
What Success Looks Like
- Production-grade data and AI products are deployed and embedded in day-to-day decision-making workflows
- Process automations and internal tools you build are reducing manual effort and improving output quality across the teams you support
- Measurable improvements seen in key business metrics (e.g., case completion turnaround time, patient satisfaction, cost-to-serve)
- Reliable, high-quality data foundations connect patient, provider, clinical, operational, and billing/financial insights end-to-end
- AI systems are continuously monitored, evaluated, and improved with measurable business impact
- Stakeholders trust and adopt implemented solutions across both corporate and business-unit teams
- Internal teams have transparent access to the function's roadmap, trust in delivery against it, and visibility into the evaluation logic that prioritizes initiatives based on their impact to organizational goals
OUR OPPORTUNITY
Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives.
The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you’ll work hard and grow quickly. Working alongside the elite of the industry, you’ll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management.
WHAT WE OFFER
Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program!
For more information, visit www.natera.com.
Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide.
All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws.
If you are based in California, we encourage you to read this important information for California residents.
Link: https://www.natera.com/notice-of-data-collection-california-residents/
Please be advised that Natera will reach out to candidates with a @natera.com email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes.
For more information:
- BBB announcement on job scams
- FBI Cyber Crime resource page
Ready to apply?
Apply to Natera
Senior Software Engineer, AI Platform
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Everlaw is looking for a Senior Software Engineer, AI Platform with experience building and operating AI platform capabilities that power user-facing software in complex ecosystems. Transforming legal tech with software and AI is a full-stack challenge that applies retrieval, vector search, model orchestration, evaluation, and agentic patterns - alongside search, databases, and real-time collaboration - to help our customers find the truth in millions of documents.
We will encourage you to explore our entire system and work with significant autonomy across the stack. If you have deeper experience in areas like RAG pipelines, LLM integrations, or large-scale retrieval pipelines, there will be plenty of opportunities to lean into that expertise. Most of all, we care about finding self-driven engineers who love their craft, write clean software, use the right tools for the job, and avoid dogma.
We’ve built sophisticated technology with a small, talented team; as we grow, we’ve maintained a culture where you’ll own serious capabilities, write great code, learn a huge amount, and have a lot of fun. You’ll work directly with product and platform partners as needed to ship AI platform features that matter.
We build with a high sense of urgency, with respect for the profound opportunity ahead of us, but don’t rely on sprints or made-up deadlines to motivate results; code quality and maintainability are paramount. At our core, we enjoy the creative process of building systems that are reliable, reproducible, explainable, scalable, and secure. We do this by empowering our team members, tackling challenging and complex engineering problems, and providing mentoring, coaching, and comprehensive feedback.
At Everlaw, our mission is to promote justice by illuminating truth. Our company culture is open and vibrant, and we’re committed to the professional growth of our team members, offering an annual learning and development stipend, regular check-ins with managers regarding career goals, and mentoring from staff and principal engineers. If you’re looking for a place that values passion, integrity, thinking big, and a desire to apply your experience while also continuing to learn, we’d love to hear from you.
Think you’re missing some of the skills and are hesitant to apply? We do not believe in the “perfect” candidate and encourage you to apply if you feel you can bring value to our team. This is a full-time, on-site position located in Oakland, California with an expected hybrid schedule of 3 days/week in the office and 2 days/week at home.
Getting started
- We want you to feel like part of the team early on! Our onboarding process will integrate you into the company with informative sessions on our product, policies, processes, and team structure and goals.
- We’re excited for you to learn, grow, and contribute right away! We trust that you’ll bring industry experience and knowledge that will uplift and uplevel the team, but we don’t expect you to know everything on Day 1.
In your role, you'll...
- Build AI platform capabilities that power product experiences such as Deep Dive, predictive coding, multi-modal understanding, agentic workflows, translations, search, review, and more.
- Contribute to RAG, semantic retrieval, and agentic orchestration patterns, including indexing pipelines, query flows, tool-calling and planning logic, relevance tuning, benchmarking, and multi-modal workloads where applicable.
- Collaborate with Product, Platform, Security, and DevOps partners to build and ship new features in our production environments.
- Help with scaling our system to larger datasets with hundreds of millions of documents.
- Provide Technical Mentorship to other engineers by both sharing your technical knowledge and becoming an expert in an area of our code base.
- Be a Code Reviewer by reviewing code developed by others using your knowledge of programming languages, design patterns, and best practices.
- Fix defects in our product by triaging product or system issues and writing code to debug, track and resolve these issues.
- Provide on-call support for the product by answering questions from customers, triaging defects and exceptions, and carrying the pager.
- Contribute to documentation for internal engineering consumption or for external the Everlaw platform.
- Do technical interviews to help us recruit engineers and grow the team.
About you
- You have a BS or MS in Computer Science, or equivalent coursework.
- You have experience and proficiency in coding in a language such as C, C++, C#, Java, Python, Javascript, Go or Rust.
- You have good knowledge of algorithms and fundamental computer science concepts, relational databases, API design, and building user interfaces
- You have practical experience with AI/ML-powered systems such as retrieval pipelines, semantic search features, agentic pipelines, document classification systems, or LLM-integrated features.
- You have work experience with AI development tools like Cursor and Claude Code, accelerating your planning, coding, and testing of production features.
- You have at least 4 years of experience building distributed systems in the cloud with service based architecture, using frontend frameworks to create rich, deep, web applications, and experience with the best practices to test, maintain, and launch cloud based software.
- You have at least 1 year of experience leading or coordinating multi-developer efforts, including planning and technical breakdown.
Pluses
- You are familiar with building software on the AWS platform.
- You are familiar with MySQL, Postgres
- You are familiar with vector or graph databases
- You are familiar with LLMOps
Benefits
- The expected salary range for this role is between $173,000 - $251,000. The final offered salary will be dependent upon many factors including the candidate’s experience and skills. The base pay range is subject to change in the future.
- Equity program
- 401(k) retirement plan with company matching
- Health, dental, and vision
- Flexible Spending Accounts for health and dependent care expenses
- Paid parental leave and approximately 10 days (80 hours) per year of sick leave
- Seventeen paid vacation days plus 11 federal holidays
- Membership to Modern Health to help employees prioritize mental health and wellness
- Annual allocation for Learning & Development opportunities and applicable professional membership dues
- Company-sponsored life and disability insurance
- Find out more about our Benefits and Perks
Perks
- Work in Downtown Oakland, just steps from the BART line and dozens of restaurants
- You will get a powerful Linux laptop and be able to customize your desk setup
- Bond over team lunches and out-of-the-box events
- Ranked “#1 on G2 for Ediscovery Software and Momentum” and we offer free eDiscovery resources to benefit the greater societal good with Everlaw for Good
- Time off for company-sponsored volunteer events and 4 paid hours per quarter to volunteer at a charitable organization of your choice
- Take advantage of learning and career development opportunities
- Ranked #9 on Glassdoor's Best Places to Work 2023 for US small and medium companies
- One of Wealthfront’s 2021 Career Launching Companies, and ranked #2 on the “2022 Bay Area Best Places to Work” list by the San Francisco Business Times and the Silicon Valley Business Journal
- One of Fast Company’s World's Most Innovative Companies for 2022 and proud contributor of free ediscovery resources to benefit the greater good through “Everlaw for Good”
- #LI-EJ1
- #LI-Hybrid
Ready to apply?
Apply to Everlaw
Go-To-Market (GTM) Digital Natives Program Leader
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SLSQ127R420
While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.
As the GTM Digital Native Programs Leader, you will operate as the de facto COO and scale pipeline and consumption for th high growth Databricks’ Digital Native vertical. You will partner in a "two-in-a-box" model with the Industry GTM Leader to translate strategy into durable, repeatable commercial execution across a rapidly scaling global field organization. You will work closely with sales and field engineering leaders to ideate, build, execute and scale global programs.
You will play a critical role in shaping Databricks’ growth trajectory. You will be part of a lean GTM leadership that powers sellers to deliver measurable business outcomes through scale & leverage. You will be the lead orchestrator for your industry vertical, at the center of a mandate to inspire executives, drive industry outcomes, and unleash Databricks’ partner ecosystem in the high-growth SaaS space.
The Impact You Will Have
Strategy & Operating Model
- Operating Model Ownership: Own and implement end-to-end op-model (across Sales, FE, Product, Engineering, Developer Relations, Partners) in a consistent global approach.
- Product-GTM Strategy: Inform the annual Digital Native strategy by synthesizing product telemetry and engineering roadmaps with field signals to identify Big Bets in the digital natives space.
- Data-Driven Product Feedback: Synthesize learnings from internal (field, product, engineering, developer relations) & external (customer, partner, developers) stakeholders into durable best practices
Market Presence & Influence
- Internal Executive Influence: Wield two-way influence on Databricks’ Field (Sales, FE, Business Dev), Product & Engineering leadership: i.e., reflect industry signals in product roadmaps, as well as translate product activation goals into verticalized industry programs
- Market Presence: Own and engage with technical & business customer and partner executives, build market presence to uncover signals on technical friction, business value and Databricks differentiators.
- Industry Evangelism: Serve as a visible evangelist & thought leader (e.g., open source advocacy, scaling AI adoption), representing Databricks’ at key customer, partner, industry and developer forums
Execution & Accountability
- Full-Funnel Program Design: Select & design the industry’s programs across products (and verticalize product programs) across the full funnel: demand generation → pipe creation & progression → consumption
- Asset Creation: Create high-quality and scalable program assets that will be used by the full field (Sales, FE, BD, Marketing, Ecosystem) at scale
- Field Activation & Community: Drive continuous field adoption of program assets and outcomes by cross-pollinating best practices across product and field teams in high-impact community cadences.
- Ecosystem Integration: Collaborate with the partnership, ISV, and Data Marketplace teams to drive adoption of a seamless, interconnected data-sharing ecosystem.
- Outcome Measurement: Deliver commercial outcomes by establishing measurement and monitoring systems that track product telemetry, industry & partner program performance.
- Executive Accountability: Drive cross-functional leadership accountability for program adoption and outcomes through continuous monitoring and executive influence.
What We Look For
Strategic & Operational Mindset
- COO Mindset: Proven ability to act as the operational backbone of a business vertical, focusing on pipeline health, organizational efficiency, and execution.
- Strategic Execution: A track record of defining and translating complex industry strategies into durable, "field-ready" commercial motions for large organizations.
- Programmatic Vision: Experience developing global, scalable GTM frameworks - moving beyond "one-off" deals to create a scalable engine for growth.
Technical & Domain Expertise
- Technical Chops: Technical knowledge on Databricks critical for this market. Comfort with discussing AI & LLM, Lakehouse, Lakebase, governance
- Industry POV: A strong point of view on macro trends in high-growth SaaS and key persona triggers, helping to shape our industry advantage against peers.
- Open Source Knowledge: A strong understanding of the open-source ecosystem and how it integrates with proprietary enterprise platforms.
- AI Builder Experience: Proven track record of hands-on experience building AI systems (MLOps, GenAI apps, or large-scale predictive models).
Execution & Analytical Skills
- Full-Funnel Expertise: Deep understanding of sales play mechanics, including lead generation, pipeline progression, and consumption drivers.
- Scale Orientation: A "multiplier" mindset with a passion for activating large-scale field organizations and cross-pollinating best practices.
- Entrepreneurial Spirit: A "doer" mindset with the ability to operate in a fast-paced, ambiguous environment and drive results across cross-functional teams.
Leadership & Scale
- Influence Without Hierarchy: Ability to influence & drive outcomes across senior executives & global teams via influence, clarity & presence versus direct reporting lines.
- Cross-Functional Orchestration: Skill in collaborating with Product, Engineering, and BD leadership to align product roadmap shifts with commercial requirements specific to high-growth SaaS customers.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Principal Software Development Engineer - Rust, LLM, Networking
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About Zscaler
Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.
Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability.
We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.
Role
We are hiring a Principal Software Development Engineer to be a founding member of our AI Security Team, offering the chance to build a high-reliability, low-latency AI security solution designed to scale for hundreds of millions of users. In this role, reporting to the Director, Software Development Engineering, you will be responsible for designing and implementing core infrastructure components and distributed systems while collaborating closely with various stakeholders throughout the development lifecycle. This is a hybrid role, reporting in to the San Jose, CA office 3 days a week.
What you’ll do (Role Expectations)
- Architect, develop, and optimize a low-latency, high-throughput AI Security plane utilizing Rust, specifically leveraging its async/await model for highly efficient I/O and service-oriented architecture.
- Build resilient, distributed, and scalable systems, emphasizing concurrency, fault tolerance, and robust messaging protocols.
- Implement and maintain gRPC services and APIs to ensure seamless integration of the AI Security plane with control and orchestration infrastructure.
- Systematically enhance performance across the entire stack, including LLM models, by employing profiling tools for both kernel-space and user-space components.
- Contribute actively to the team through technical documentation, system design reviews, code reviews, and by mentoring junior engineering staff.Lead complex, multi-functional projects and initiatives, defining the technical roadmap and driving execution across teams.
Who You Are (Success Profile)
- Drive the mission with an owner's mindset, seamlessly bridging high-level strategy and detailed, hands-on execution.
- Actively seek challenges and find complex solutions that deliver maximum impact.
- Deeply empathize with internal and external stakeholders, anchoring every decision in addressing their real-world problems.
- Maintain strong technical curiosity, continually seeking more secure, scalable, and effective methods to accelerate transformation.
- Connect your work to the company's broader mission, designing solutions to support high-growth, global organizational needs.
What We’re Looking for (Minimum Qualifications)
- 12+ years of software engineering experience
- Deep experience in systems programming using Rust, with a focus on asynchronous frameworks such as Tokio or async-std.
- Proven ability to design and implement horizontally scalable, highly available, and observable distributed systems.
- Strong command of Linux internals, including kernel-user space interaction, networking, sockets, and namespaces.
- Skilled in performance instrumentation, containerized environments, Git workflows, and CI/CD pipelines.
What Will Make You Stand Out (Preferred Qualifications)
- Expert in systems languages such as C/C++ or Rust, with a focus on performance optimization.
- Deep understanding of Linux networking stacks, Kubernetes networking, service meshes, and LLM model optimization.
- Practical experience with gRPC, Protobufs, and L4-L7 networking protocols, including TCP/IP, TLS, QUIC, HTTP, and WebSockets (WSS).
- Direct experience in validating AI-driven products, including understanding of model performance metrics and MLOps principles.
#LI-BH1
#LI-Hybrid
Zscaler’s salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training.
The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits.
At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.
Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:
- Various health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks, and more!
Learn more about Zscaler’s Future of Work strategy, hybrid working model, and benefits here.
By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.
Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.
Pay Transparency
Zscaler complies with all applicable federal, state, and local pay transparency rules.
Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
Ready to apply?
Apply to Zscaler
Senior Product Manager, AI / Data Classification
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About Zscaler
Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.
Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability.
We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.
Role
We are looking for a Senior Product Manager, AI / Data Classification to join our Data Protection team. This is a hybrid role based in San Jose, CA (3 days onsite). While local candidates are preferred, we are open to remote candidates based on the West Coast for exceptional applicants.
We’re looking for a Product Manager to lead data classification capabilities within a Data Security platform. You’ll own the end-to-end product strategy for discovering and classifying sensitive data across cloud, on-prem data stores and SaaS applications, turning classification outcomes into actionable risk reduction for security, privacy, and compliance teams.
What You’ll Do (Role Expectations)
- Partner closely with a focused engineering, data science/ML, design, sales, and customer success to deliver accurate, scalable classification, clear policy outcomes, and measurable customer value
- Own the classification taxonomy, labeling standards, and policy model (custom categories, confidence thresholds, inheritance, overrides, exceptions)
- Drive accuracy improvements by managing precision/recall targets, sampling strategies, tuning workflows, and customer feedback loops
- Set requirements for scanning at enterprise scale (billions of objects, large tables), optimizing cost, latency, and coverage
- Define how the platform combines pattern-based detectors, NLP/ML, and LLM-assisted classification for structured and unstructured data
Who You Are (Success Profile)
- You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
- You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
- You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
- You are customer-obsessed. You build deep empathy for the customer—both internal and external—and anchor your decisions in solving their real-world problems. You champion their needs from start to finish, knowing their success is our success.
- You operate with urgency. You understand that in a high-growth environment, speed and quality are not mutually exclusive. You have a relentless focus on execution and a bias for action, delivering high-impact results quickly to win for the customer and the team.
What We’re Looking for (Minimum Qualifications)
- Product Management experience, with meaningful ownership of data security/privacy products. Product management experience can be substituted with data science experience
- Demonstrated experience shipping products that use AI/ML and/or LLMs in production, with a strong understanding of data classification approaches across structured and unstructured data
- Expertise in evaluation and quality measurement for classification systems and building/maintaining golden datasets
- Ability to design human-in-the-loop workflows for high-stakes labels, covering review/approval, exception handling, and audit trails
- Experience driving cost/performance tradeoffs for AI at scale, including token/compute budgeting, model selection, and managing latency for large corporations
What Will Make You Stand Out (Preferred Qualifications)
- Strong technical collaboration skills with ML engineering and data science
- Familiarity with embedding-based similarity and semantic retrieval for classification and deduping (vector DBs, ANN indexing, chunking strategies)
- Prior work in DSPM/DLP/CASB/insider risk where false negatives have high blast radius and you have designed processes to manage that risk
#LI-KM9 #LI-hybrid
Zscaler’s salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training.
The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits.
At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.
Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:
- Various health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks, and more!
Learn more about Zscaler’s Future of Work strategy, hybrid working model, and benefits here.
By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.
Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.
Pay Transparency
Zscaler complies with all applicable federal, state, and local pay transparency rules.
Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
Ready to apply?
Apply to Zscaler
About Zscaler
Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.
Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability.
We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.
Role
We are looking for a seasoned Senior Tax Manager to join our Tax department. This role is based in our San Jose, CA headquarters (in office Tuesday-Thursday) or remotely across the US, reporting to the Senior Director, Tax. You will be responsible for leading Zscaler's North America income tax compliance process along with supporting the quarterly and annual global tax provision process. You will be heavily involved in shaping the tax department’s tax compliance policies and processes, while supporting the business needs of a fast-growing company. This is an individual contributor role with oversight responsibilities for local and remote team members.
What you’ll do (Role Expectations)
- Prepare and review the US and Canada income tax compliance including the U.S. federal, state and local income tax returns and estimated taxes
- Prepare and review the monthly and quarterly U.S. indirect tax compliance including sales tax, use tax, gross receipts tax and property tax
- Manage the R&D tax credit and SRED credit studies with the support of external service providers
- Assist with the Company’s ASC 740 income tax provision for interim and annual income tax provisions, as reported in the Company’s SEC Form 10-K/10-Q filings
- Build cross functional relationships with the broader finance organization
Who You Are (Success Profile)
- You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
- You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
- You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
- You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
- You champion simplicity. You are skilled at distilling complex problems, user needs, and technical concepts into clear, simple, and actionable plans. You are a precise communicator who brings clarity and focus to every interaction.
What We’re Looking for (Minimum Qualifications)
- 10+ years of related experience with a combination of Big 4 public accounting and SaaS or tech industry experience
- Bachelor’s degree in accounting or Finance; CPA license, Master’s degree or LLM preferred
- Extensive technical knowledge of U.S. federal and state income tax; strong familiarity with ASC 740 preferred
- Advanced Excel and strong analytical skills to conduct thorough tax research and solve complex problems
- Strong oral and written communication skills, with ability to communicate complex subject matter to leadership, peers and other levels in the company
What Will Make You Stand Out (Preferred Qualifications)
- Experience in a fast moving, high growth environment with ability to react quickly to unexpected challenges and opportunities
- Extremely organized and able to manage work requirements to meet reporting deadlines
#LI-Remote #LI-AT4
Zscaler’s salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training.
The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits.
At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.
Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:
- Various health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks, and more!
Learn more about Zscaler’s Future of Work strategy, hybrid working model, and benefits here.
By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.
Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.
Pay Transparency
Zscaler complies with all applicable federal, state, and local pay transparency rules.
Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
Ready to apply?
Apply to Zscaler
Sr. Software Development Engineer - Orchestration Platform, Temporal, Fleet Management (Flexibility on level)
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About Zscaler
Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.
Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability.
We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.
Role
We are looking for a Software Engineer (Reliability) to join our team in San Jose, CA, reporting to the Vice President of Engineering. This is a hybrid role three days a week onsite within the Service Platform Automation department.
You will build and operate the orchestration and reliability automation that manages ZIA’s fleet lifecycle at massive scale. This is a high-ownership role: you will design and implement orchestration workflows and the supporting services needed for safe, deterministic, idempotent fleet operations—while helping the team evolve toward AI-first execution and operations.
What you’ll do (Role Expectations)
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Replace legacy Python/Ansible with a centralized, deterministic orchestration platform, refactoring automation into modular, well-defined workflows while retiring external dependencies and nested logic
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Engineer execution patterns with retries, idempotency, rate limits/backpressure, and safe rollbacks/compensation designs aligned to global fleet capacity
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Implement safe rollouts using segmentation, canaries, and automated health checks to limit blast radius during fleet-wide upgrades and remediation
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Add strong observability and auditability (metrics, traces, replayable histories), participate in on-call rotation, and drive software based fixes to reduce toil following post-incident reviews
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Integrate AI/LLM capabilities to accelerate legacy code migration and enhance safe operational outcomes through intelligent triage, correlation, and automated runbook generation
Who You Are (Success Profile)
-
You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
-
You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
-
You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
-
You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
-
You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.
What We’re Looking for (Minimum Qualifications)
-
BS/MS in Computer Science or a related technical field with 5+ years of experience building and operating production-grade software systems
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Strong proficiency in backend/systems languages (Go, Java, C++, or Rust) with the ability to write high-quality, maintainable code
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Deep experience designing and operating distributed systems, including concurrency, failure handling, performance optimization, and data modeling
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Proven track record of building automation using REST APIs and Swagger with strong guarantees for idempotency, verification, and safe rollout patterns
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Hands-on experience with cloud platforms (AWS/GCP, GKE, Cloud SQL etc.) and proficiency in containerization and CI/CD workflows using Docker and GitLab
What Will Make You Stand Out (Preferred Qualifications)
-
Experience with Temporal (or similar platforms) to architect large-scale fleet systems for patching, upgrades, and remediation using deterministic, health-gated workflows and replay-safe designs
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Testing discipline for orchestration and state machines, including E2E harnesses, determinism verification, fault injection, and chaos engineering to ensure system reliability
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Proficiency in PostgreSQL, including SQL development and schema management, to power high-scale, stateful management-plane services and workflows
#LIHybrid #LI-BH1
Zscaler’s salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training.
The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits.
At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.
Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:
- Various health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks, and more!
Learn more about Zscaler’s Future of Work strategy, hybrid working model, and benefits here.
By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.
Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.
Pay Transparency
Zscaler complies with all applicable federal, state, and local pay transparency rules.
Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
Ready to apply?
Apply to Zscaler
Senior Value Engineer - Public Sector
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Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily in advanced AI capabilities—specifically our Process Intelligence Graph—to turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability by placing intelligence at the core of every business process. Join our mission to make processes work for people, companies, and the planet.
Role Description
As a Senior Value Engineer specializing in the Public Sector, you are pushing the envelope in solving critical operational challenges for State and Local Government agencies. You will be working with our most strategic public sector clients, understanding their unique objectives—from enhancing citizen services and modernizing legacy systems to optimizing grant management and regulatory compliance—and building Celonis solutions using the world’s leading Process Intelligence (PI) platform in combination with top AI and ML technology partners, such as Microsoft, OpenAI, and Databricks.
With Celonis’ Process Intelligence (PI) platform, we feed operational context to AI so it understands the complex realities of government operations (breaking down agency silos) and enables agencies to industrialize AI. This unlocks real ROI on AI deployments, maximizing taxpayer value at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to government CIOs and Agency Directors, and ensure successful implementation, adoption, and value realization to increase the footprint of Celonis across state and local governments.
Key Responsibilities:
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AI Discovery & Solutioning: Understand public sector AI strategies and specific agency challenges (e.g., benefits administration backlogs, procurement bottlenecks, public safety resource allocation, or permitting delays). As a Celonis product and government domain expert, find the best problem-solution fit and translate agency requirements into innovative solutions that deliver measurable public impact.
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Pre- and Post-Sales Execution: Actively drive the full customer lifecycle within the public sector. Lead technical discovery and capability demonstrations during the complex government pre-sales and procurement (RFP) cycles, and remain deeply involved post-sale to guide implementation, ensuring agreed value and adoption thresholds are successfully met.
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Hackathons & Prototyping: Think out of the box, have a „can-do“ attitude, and don’t shy away from complex legacy processes. Leverage cutting-edge AI technologies to rapidly build creative prototypes in agency hackathons, solving critical pain points to improve constituent experiences.
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Agentic Process Transformation: Support our government customers in achieving real value out of AI deployments at scale, enabling a fundamental shift from traditional, rigid, paper-heavy workflows to the use of autonomous AI agents empowered by our Celonis Process Intelligence Platform (e.g., intelligent case triaging or automated compliance checks).
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Proof Projects: End-to-end execution of critical Proof-of-Value projects. This includes architecting and delivering secure, scalable LLM/agent systems with RAG, tools, and guardrails, while seamlessly integrating with government enterprise data, identity protocols, and stringent compliance/security frameworks (e.g., StateRAMP, HIPAA, CJIS).
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Domain & Industry Leadership: Serve as the internal and external technical subject matter expert for the State & Local Government vertical, scaling knowledge across the organization regarding agency processes and public sector nuances.
Requirements:
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5+ years of experience leading technical pre-sales and post-sales engagements specifically within the Public Sector (State & Local Government). This includes navigating government procurement cycles, building compelling ROI business cases for public funds, and guiding technical implementations through to constituent value realization.
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Deep understanding of business processes native to state and local governments (such as Health & Human Services, Procurement, Finance, DMV operations, or Public Safety) with the ability to translate high-level policy or agency needs into specific, impactful AI use cases.
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Expertise in generative AI techniques like RAG, few-shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning used to build high-impact use cases (e.g., intelligent constituent-facing chatbots, automated processing of policy documents, or grant application analysis).
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Solid knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies.
-
Strong presentation skills to both internal and external stakeholders (including elected officials, agency directors, and IT leadership), whether leading technical whiteboarding sessions or formal readouts and demos.
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Bachelor’s Degree required; Master's Degree in computer science, engineering, mathematics, or related fields, or equivalent work experience preferred.
Nice to have (big plus):
-
Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, while ensuring safety through rigorous evaluations and guardrails suited for highly scrutinized public sector environments.
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Experience in deploying and monitoring models at scale within government-compliant cloud environments (e.g., AWS GovCloud, Azure Government).
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Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages.
Visa sponsorship is not offered for this role.
Learn More about Value Engineering at Celonis Here
Total compensation package will include base salary + bonus/commission + equity + benefits (health, dental, life, 401k, and paid time off). Please note that the base salary range is a guideline, and that the actual total compensation offer will be determined based on various factors, including, but not limited to, applicant's qualifications, skills, experiences, and location.
What Celonis can offer you:
- Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations.
- Ownership from Day 1: Every full-time "Celonaut" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants.
- Unrivaled Family Support: Benefit from our inclusive parental leave policy—24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment.
- Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration.
- Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform.
- Holistic Well-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated "Wellness Weeks" that prioritize work/life balance.
- Drive Sustainability: Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually.
- Global Inclusion & Belonging: Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued.
- Value-Driven Impact: Join a mission-led organization where our core values—Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future—drive every decision.
About Us:
Celonis makes processes work — for people, companies, and the planet. Powered by process mining and AI, the Celonis Process Intelligence Platform integrates process data and business context to create a living digital twin of business operations. We enable thousands of companies worldwide to understand how their business actually runs and, together with their partners, build intelligent solutions that transform and continuously improve the way they operate — unlocking billions in value. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide.
Get familiar with the Celonis Process Intelligence Platform by watching this video.
Celonis Inclusion Statement:
At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen.
Your Privacy:
Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ Accessibility and Candidate Notices
By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process.
Please be aware of common job offer scams, impersonators and frauds. Learn more here.
Ready to apply?
Apply to Celonis
Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily in advanced AI capabilities—specifically our Process Intelligence Graph—to turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability by placing intelligence at the core of every business process. Join our mission to make processes work for people, companies, and the planet.
Role Description
- As an Applied AI Engineer you are pushing the envelope in solving business-critical problems for our customers. You will be working with our most strategic customers, understanding their objectives and key challenges, and building Celonis solutions using the world’s leading Process Intelligence (PI) platform in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers.
Key Responsibilities:
- AI Discovery & Solutioning: Understand customers AI strategy and business critical challenges. As Celonis product & domain expert, find the best problem-solution fit and translate customer requirements into innovative solutions that move the needle
- Hackathons & Prototyping: Think out of the box, have a „can-do“ attitude and don’t shy away from complex problems. Leverage cutting edge AI technologies to rapidly build creative prototypes in customer hackathons solving business critical problems
- Agentic Process Transformation: Support our customers in achieving real ROI out of AI deployments at scale enabling a fundamental shift in business operations from traditional, rule-based automation to the use of autonomous AI agents empowered by our Celonis Process Intelligence Platform
- Proof projects: End-to-end execution of business-critical Proof-of-Value projects, incl. architecture and deliver secure, scalable LLM/agent systems with RAG, tools, and guardrails; integrating with enterprise data, identity, and compliance frameworks.
- Ensure Successful Project Outcome: Applied AI Engineers stay involved with projects until agreed value & adoption thresholds are reached
- Specialize in Domains or Industries: To scale knowledge across the organization Applied AI Engineers specialize in domains (e.g. supply chain) and industries
Requirements:
- 7+ years of experience leading technical pre-sales, including defining AI roadmaps, building compelling ROI/TCO business cases and prototyping of machine learning and generative AI solutions.
- Understanding of generative AI techniques like RAG, few shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning that are used to build high-impact use cases like intelligent chatbots and automated text processors.
- Understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
- Good knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies.
- Strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
- Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience preferred.
Nice to have (big plus):
- Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, while ensuring safety through rigorous evaluations and guardrails.
- Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages.
- Experience in deploying and monitoring models at scale across major cloud platforms (AWS Bedrock, Azure AI, GCP Vertex)
Total compensation package will include base salary + bonus/commission + equity + benefits (health, dental, life, 401k, and paid time off). Please note that the base salary range is a guideline, and that the actual total compensation offer will be determined based on various factors, including, but not limited to, applicant's qualifications, skills, experiences, and location.
What Celonis can offer you:
- Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations.
- Ownership from Day 1: Every full-time "Celonaut" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants.
- Unrivaled Family Support: Benefit from our inclusive parental leave policy—24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment.
- Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration.
- Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform.
- Holistic Well-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated "Wellness Weeks" that prioritize work/life balance.
- Drive Sustainability: Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually.
- Global Inclusion & Belonging: Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued.
- Value-Driven Impact: Join a mission-led organization where our core values—Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future—drive every decision.
About Us:
Celonis makes processes work — for people, companies, and the planet. Powered by process mining and AI, the Celonis Process Intelligence Platform integrates process data and business context to create a living digital twin of business operations. We enable thousands of companies worldwide to understand how their business actually runs and, together with their partners, build intelligent solutions that transform and continuously improve the way they operate — unlocking billions in value. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide.
Get familiar with the Celonis Process Intelligence Platform by watching this video.
Celonis Inclusion Statement:
At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen.
Your Privacy:
Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ Accessibility and Candidate Notices
By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process.
Please be aware of common job offer scams, impersonators and frauds. Learn more here.
Ready to apply?
Apply to Celonis
Staff GenAI Research Scientist - Retrieval
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Staff GenAI Research Scientist - Retrieval
P-1214
At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform, so our customers can focus on the high value challenges that are central to their own missions.
The Databricks AI Research organization enables companies to develop AI models and systems using their own data, with technologies ranging from pre-training LLMs from scratch to augmented generation using the latest retrieval techniques. Databricks AI does so by producing novel science and putting it into production. Databricks AI is committed to the belief that a company’s AI models are just as valuable as any other core IP, and that high-quality AI models should be available to all.
Job Description
As a Staff Research Scientist on the Enterprise Agents team, you will be responsible for keeping up with the latest developments in Agent Context, Information Retrieval, Knowledge Assistants, RAG, Embeddings, and advancing the scientific frontier by creating new techniques that go beyond the state of the art. You will work together on a collaborative team of researchers and engineers with diverse backgrounds and technical training. And most importantly, you will love our customers: our goal is to make our customers successful in applying state-of-the-art LLMs and AI systems, and we encode our scientific expertise into our products to make that possible.
The Impact you will have
As a Staff Research Scientist on the AI Research Team at Databricks, You Will:
- Define and lead independent research agendas on Information Retrieval for reusable Agent components, conducting experiments to empirically validate hypotheses and benchmark against state-of-the-art approaches.
- Drive research and technical strategy across enterprise retrieval and search, including workspace search, vector search.
- Drive algorithmic innovations for Retrieval within Large Language Models.
- Experience with Agent Benchmarks for retrieval, text-embeddings and LLM Data Quality.
What We Look for
- 5+ years of
- PhD in Computer Science or related field with strong foundations in Natural Language Processing and Information Retrieval
- Developing and implementing methods that extend and improve model capabilities, reliability, and safety.
- Strong preference for candidates with first-author publications at top ML/systems conferences (EMNLP, ICLR, ACL, NeurIPs) focused on optimization or efficiency.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
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Important Information
Experience: +6 years
Job Mode: Full-time
Work Mode: Remote
ID: OPP00051-1
Responsibilities and Duties
- Digest requirement from product team and lead the elaboration of high level design for high availability, performance and scalability features for cloud systems;
- Raise and discuss trade-offs of different design approaches elaborating detailed design documents;
- Implement solution from coding to testing to production deployment support;
- Follow agile processes and participate actively in all development phases.
Essential Skills
- Experience with Golang (Go) programming language;
- Extensive experience with modeling, producing and consuming web services based APIs (RESTful or SOAP based);
- Experience on Cloud Service Orchestration;
- Experience with Cloud Development;
- Experience with backend systems development;
- Proven proficiency with object-oriented software development;
- Proven experience on complex architectural design for cloud-based applications;
- Design Patterns;
- Experience with SQL and NoSQL databases such as PostgreSQL, SQL Server, Oracle, MongoDB, Cassandra.
Highly Desirable Skills
- Competent in one or more programming language(s): Go (Golang), Python, Node, C#, C and C++, Java;
- Knowledge on testing (Unit Test, Feature Test, Integration);
- Knowledge of cloud platforms and technologies including Google Cloud, Aws, Azure;
- Experience working with Kubernetes and OpenShift;
- Exposure to and/or experience with Serverless applications;
- An understanding of software design patterns, pipeline automation and software testing principles and methodologies;
- Familiar with designing, coding, deploying and debugging microservices applications;
- Strong Scripting and automation skills;
- Passionate about solving problems in code;
- Is proactive and easily trouble shoots and resolves issues relating to customer service, product, process and tools;
- Comfortable with Linux Environment and shell scripting.
About Encora
Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.
At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
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Staff Software Engineer, Autonomous Freight Systems
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About Flexport:
At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year.
The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us.
The opportunity
The Autonomous Freight Systems team is a brand new, AI-first engineering team in San Francisco. This team will own Flexport’s client-facing rates platform and the self-serve freight booking experience—two of the highest-leverage surfaces in our Client App that dictate how clients see pricing and book freight without manual intervention.
As a Staff Engineer, you will be the technical anchor for our next-generation AI-powered rates platform. We aren't just building a UI; we are building AI agents that handle real logistics work: parsing complex rate sheets, managing pricing intelligence across ocean, air, and trucking, and making "Self-Serve" a reality for thousands of shippers. You will build the intelligence layer that allows clients to commit freight on technology alone, with no account executive and no operations touch.
This is a ground-floor opportunity to shape technical direction, set up a new codebase, and build the platform that moves Flexport from an assisted-sales model to a tech-run one for the long tail of our client base. You will partner with Pricing, Sales, Ops, and Design on hard domain problems and ship to the most-used client surfaces at the company.
You will
- Design and ship end-to-end AI agents that handle pricing intelligence and booking compliance without human oversight.
- Create the tooling and secure AI infrastructure required to expose internal logistics data to LLMs safely.
- Navigate the rapidly evolving landscape of agent patterns, RAG, and prompt engineering to solve problems that don’t have "Stack Overflow" answers yet.
- Build and launch products rapidly and incrementally: we ship to production dozens of times per day.
- Mentor and uplevel engineers across the team, fostering a culture of technical excellence.
- Partner with the Engineering Manager to define the team’s technical roadmap and hiring bar.
You should have
- LLM Fluency: Experience with agent patterns, RAG, and prompt engineering. You know what works in production versus what only looks good in a demo.
- Agentic Orchestration: Experience with workflow orchestration (e.g., Temporal) and building reliable systems around non-deterministic AI.
- Entrepreneurial Drive: You don't wait for a spec; you find the highest-leverage automation problems and design the AI-driven solution.
- Product Instincts: You can identify what is worth building, not just execute on a spec. You have a proven track record of building data-heavy applications where high-quality user interaction is the priority.
- Architecture Leadership: Demonstrated experience leading technical initiatives across multiple teams or systems, specifically in building unified interfaces that aggregate data from various backend systems.
- Technical Rigor: A love of simple, well-tested code that is easy to extend and hard to break, combined with experience building large-scale distributed systems.
- Technical Communication: The ability to convey technical ideas in common terms to business partners, product managers, and engineers alike.
It's a plus if you have
- Experience with elements of our tech stack: Java, Spring Boot, Ruby on Rails, React, AWS.
- Experience in logistics, supply chain, or freight technology.
- Experience building internal tools or operator-facing applications.
- A bias for action: When you see a problem, you solve it.
#LI-onsite
Commitment to Equal Opportunity
At Flexport, our ability to fulfill our mission of making global commerce easy and accessible relies on having a diverse, dedicated and engaged workforce. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, national origin, age, physical and mental disability, health status, marital and family status, sexual orientation, gender identity and expression, military and veteran status, and any other characteristic protected by applicable law.
Global Data Privacy Notice for Job Candidates and Applicants
Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. By submitting your application, you are agreeing to our use and processing of your data as required. Please see our Privacy Notice available at www.flexport.com/privacy for additional information.
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Mill is a waste prevention technology company reimagining what it means to eliminate waste, starting with food. We build smart systems and infrastructure for homes, businesses, and municipalities that transform food scraps from landfill-bound waste into valuable resources, including chicken feed. Tens of thousands of Mill’s residential food recyclers are already helping households divert millions of pounds of food scraps every year, paving the way for our upcoming launch of Mill Commercial—the industry’s first end-to-end solution for managing, understanding, and preventing food waste in commercial environments (e.g. grocery, restaurants, food services). At Mill, we are passionate about building easy-to-use, beautifully designed technologies that keep food in the food system and out of landfills.
About the Role
We're hiring an AI Engineer to work on the AI core of Mill Commercial — the computer vision and agentic systems that turn a stream of food waste into operational intelligence for commercial kitchens. Mill Commercial integrates a camera and onboard compute directly into our high-capacity food recycler; models running on the edge identify, classify, and quantify food scraps at the point of generation, and our vision pipeline turns that signal into procurement and operational guidance for large food service operators.
You'll join a small AI team, building the data and training pipeline that produces our edge CV models, designing the cloud-side evaluation that tells us whether those models are good enough to ship, and helping build the agentic, LLM-driven product features that turn raw waste data into customer-facing insights and recommendations. This is a hands-on senior IC role for someone who's equally comfortable fine-tuning a segmentation model, prompting a VLM, and wiring an agent into a product feature.
What You'll Do
- Build and manage the end-to-end ML training pipeline: data ingestion from deployed kitchen units, ground truth generation, annotation tooling (including foundation-model-assisted labeling), training, evaluation, and retraining cycles.
- Train and evaluate segmentation, classification, and mass-estimation models for the Mill Commercial camera pipeline — from prompting foundation models to fine-tuning ConvNets and VLMs.
- Build the cloud-side evaluation harness that tells us how our shipped edge models are actually performing in the field — automated, reproducible, and aligned to product accuracy targets across food types, kitchen environments, and deployment configurations.
- Own MLOps: reproducible training, experiment tracking, model versioning, and automated evaluation against product-defined accuracy targets.
- Export and validate models for deployment to edge devices, working closely with the edge team on optimization, quantization, and integration.
- Help design and build the LLM- and agent-powered product features that consume waste characterization data and turn it into customer-facing recommendations — purchasing suggestions, anomaly explanations, operational nudges. Define how agents call tools, ground in customer data, and stay reliable in production.
- Analyze failure cases systematically — unfamiliar food classes, novel kitchen environments, challenging lighting and clutter conditions — and drive the data and modeling decisions that close accuracy gaps.
What We're Looking For
- Strong fundamentals in computer vision and deep learning — segmentation, detection, classification, tracking. You understand the architectures well enough to make informed choices.
- Fluency with modern ML approaches — VLMs, LLMs, foundation models, and agentic systems — alongside classical deep learning. You know when to fine-tune a ConvNet, when to prompt a VLM, and when to wire up an agent, and you understand the practical realities of putting any of them into a product.
- Experience building ML training pipelines and data annotation systems at scale.
- Experience evaluating ML models rigorously — designing metrics, building the eval harness, and using results to drive product decisions rather than just publish a number.
- Proficiency with cloud ML infrastructure (AWS or equivalent) — you've managed training jobs, data pipelines, and experiment workflows in production.
- Familiarity with cloud-to-edge model deployment.
- Clear, direct communication — you can explain tradeoffs to non-technical stakeholders, push back honestly when you disagree, and write docs that others can follow.
- Genuine interest in applying AI to food waste reduction and sustainability. This is a mission-driven product and we want people who care about the mission.
Software skills: Python, PyTorch, OpenCV. Strong familiarity with MLOps on AWS infrastructure. Experience with LLM and agent frameworks. Google Cloud / Gemini experience is a plus.
Nice to Have
- Experience with video understanding (temporal consistency, tracking, video segmentation)
- Experience with foundation models for data annotation
- Experience with MLOps tooling (Weights & Biases, MLflow, SageMaker, or equivalents)
- Experience shipping LLM- or agent-powered features in a consumer or B2B product
- Hardware / IoT product experience, particularly with computer vision and cameras for embedded systems
The estimated base salary range for this position is $240 to $280k, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs. At Mill, it is not typical for an individual to be hired at or near the top of the range for their role.
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Machine Learning Solutions Engineer (ML + Infrastructure Focus)
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Who We Are
Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction.
Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.
We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.
Our Values
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Move Fast: We act with speed and precision, breaking down big challenges into achievable steps.
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Focus: We complete one goal at a time with care, collaborating as a team to deliver features with precision.
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Balance: Sustained performance comes from rest and recovery. We ensure a healthy work-life balance to keep you at your best.
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Craftsmanship: Innovation through excellence. Every detail matters, and we take pride in mastering our craft.
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Minimal: Simplicity drives our innovation. We eliminate complexity through discipline and focus on what truly matters.
What We're Looking For
As a Machine Learning Solutions Engineer, you will operate at the intersection of machine learning, distributed systems, and cloud infrastructure.
You will partner with customers to design and deploy end-to-end AI systems, spanning:
- Model development and training
- GPU infrastructure and cluster design
- Distributed inference and production deployment
This role goes beyond traditional ML solutions engineering—you will act as a technical architect, helping customers make critical decisions across compute, orchestration, and system design.
The role can be based out of our New York City or San Francisco office, with an in-office requirement of at least 2-3 days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this role at this time. The annual base pay range for this role is $150,000 - $195,000, in addition to a variable pay component and meaningful equity.
What You’ll Do
Customer Architecture & Technical Leadership
- Partner with customers to understand ML workloads, infrastructure constraints, and scaling requirements
- Architect end-to-end solutions across:
- Data pipelines (CPU → GPU workflows)
- Distributed training (multi-node, multi-GPU)
- High-throughput inference systems
- Translate business goals (latency, cost, throughput) into technical system design decisions
GPU & Infrastructure Design
- Design and optimize workloads across GPU clusters (H100, H200, B200, etc.)
- Advise on:
- Training vs inference cluster design
- Interconnect choices (Ethernet vs Infiniband / RDMA vs Roce)
- Storage strategies (local NVMe vs networked / object storage)
- Model and optimize for:
- Tokens/sec, tokens/$
- Throughput vs latency tradeoffs
- GPU utilization and scheduling efficiency
Kubernetes & Platform Systems
- Design and support deployments on Kubernetes (EKS, GKE, on-prem clusters)
- Work with:
- GPU scheduling (time-slicing, MIG, bin-packing)
- Autoscaling and workload orchestration
- Helm-based deployments and multi-tenant environments
- Help customers balance:
- Raw Kubernetes flexibility vs platform abstraction (Lightning)
Demos, POCs, and Execution
- Build and deliver technical demos and POCs that showcase:
- Distributed training workflows
- Scalable inference endpoints
- End-to-end ML pipelines on Lightning AI
- Scope and lead POCs aligned to customer success metrics (latency, cost, reliability)
Cross-Functional Impact
- Act as the bridge between customers, product, and engineering
- Provide feedback on:
- Platform gaps in infrastructure, orchestration, and performance
- Emerging patterns in GPU usage and distributed systems
- Influence roadmap across ML workflows and infrastructure capabilities
Enablement & Thought Leadership
- Create technical content
- Architecture guides (e.g., high-throughput LLM inference systems)
- Best practices for GPU utilization and scaling
- Educate customers on modern AI infrastructure patterns
What You’ll Need
ML + Systems Expertise
- 3–6+ years experience in:
- Machine Learning / AI Engineering
- Solutions Engineering / Sales Engineering / ML Consulting
- Strong understanding of:
- Training vs inference workloads
- Model optimization (quantization, batching, caching, etc.)
GPU & Distributed Systems
- Experience working with:
- GPU clusters (NVIDIA stack preferred)
- Distributed training or inference systems
- Familiarity with:
- NCCL, CUDA, or GPU performance profiling
- Networking concepts (RDMA, Roce, Infiniband, high-throughput systems)
Kubernetes & Cloud Platforms
- Hands-on experience with:
- Kubernetes (EKS, GKE, or on-prem)
- Slurm
- Containerization (Docker)
- Exposure to:
- GPU scheduling in Kubernetes environments
- Multi-tenant or production ML deployments
Programming & Tooling
- Strong Python skills (PyTorch preferred)
- Experience building:
- ML pipelines
- APIs or inference services
- Familiarity with Lightning AI, PyTorch Lightning, or similar frameworks is a plus
Customer-Facing Excellence
-
- Ability to:
- Explain complex infrastructure and ML tradeoffs clearly
- Run technical discovery and uncover quantifiable success metrics
- Explain complex infrastructure and ML tradeoffs clearly
- Experience working cross-functionally with:
- Sales, product, and engineering teams
- Ability to:
Benefits and Perks
We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success. Benefits may vary by location, team, and role.
Benefits include:
- Comprehensive medical, dental and vision coverage (U.S.); Private medical and dental insurance (U.K.)
- Retirement and financial wellness support (U.S.); Pension contribution (U.K.)
- Generous paid time off, plus holidays
- Paid parental leave
- Professional development support
- Wellness and work-from-home stipends
- Flexible work environment
At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.
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Staff Product Manager, GoFundMe Pro (Checkout/Donation Flow)
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Want to help us help others? We’re hiring!
GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes—for themselves and each other. Together, our community has raised more than $40 billion since 2010.
GoFundMe Pro helps nonprofit organizations fundraise more effectively across donation experiences, peer-to-peer fundraising, and events. We’re looking for a Staff Product Manager to own high impact product areas across the supporter and nonprofit admin experience.
We’re looking for a Staff Product Manager to own high impact product areas across the donor experience. This role sits at the intersection of customer empathy, data, and emerging AI -building experiences that increase donor trust, conversion, and long-term engagement while delivering measurable business outcomes.
Candidates considered for this role will be located in the San Francisco Bay Area. There will be an in-office requirement of 3x a week
What You’ll Do
- Lead the end-to-end checkout experience, driving improvements in conversion, payment success rates, and donor retention
- Build delightful, intuitive experiences grounded in customer empathy and real-world behavior
- Leverage data, experimentation, and customer feedback to increase conversion.
- Operate with end-to-end accountability -from problem definition through delivery, optimization, and scale but in a way that you are leveraging the system and collaborating with others.
- Work cross-functionally with engineering, design, go-to-market, and data science partners to execute effectively
- Act as the voice of the customer, deeply understanding user needs, motivations, and pain points
- Use qualitative and quantitative insights to inform product and GTM decisions, define success metrics, and track outcomes
- Champion your product internally - building clarity, excitement, and alignment across teams while influencing without authority.
- Drive strong execution by transforming ambiguity into disciplined execution - defining scope, sequencing work, mitigating risks, coordinating stakeholders, and ensuring teams deliver against commitments.
You might thrive in this role if you:
- Bring 6+ years of product management experience, including leading growth initiatives for self-serve SaaS products
- Are skilled in Discovery that helps identify the right problems to solve and clearly articulate what not to build and why
- Are highly analytical and fluent in experimentation
- Operate effectively in fast-moving, ambiguous environments
- Excel at aligning cross-functional teams and leading complex initiatives across product, engineering, and GTM teams
- Are AI Powered and actively use AI tools to accelerate work across the product development lifecycle - from discovery and synthesis to PRDs, experimentation, and iteration
- Leverage tools like Cursor and other AI-assisted workflows to improve speed, clarity, and decision quality in collaboration with Engineering and Design
- Are customer obsessed and growth minded
What You Bring
- 5+ years of product management experience with increasing scope, ownership, and measurable impact
- Proven track record of building, launching, and scaling successful products that drive customer and business outcomes.
- Strong analytical and decision-making skills—comfortable using both data and judgment to drive outcomes
- Strong decision-making skills grounded in data, customer insight, and sound judgment
- Hands-on familiarity with AI tools (e.g., Cursor, LLM-based research, prototyping, or analytics tools) and comfort applying AI across the PDLC to improve speed and quality.
- Experience working directly with customers and deeply analyzing consumer behavior and market trends
- Ability to operate independently, manage ambiguity, and perform at a fast pace under pressure
- Exceptional communication skills with the ability to align teams, present to senior leadership, and drive execution
- Humility, curiosity, and a bias toward learning
Nice to Have
- MBA from a leading program, ideally focused on technology or entrepreneurship
- BA/BS in a technical field
- Background in management consulting
- Experience in fintech, payments, donations, or multi-stakeholder platforms
Why This Role Matters
You’ll shape products that don’t just grow revenue—but build trust, unlock value for customers, and create durable impact. This is a high-autonomy role for a product leader who thinks like a founder, ships with purpose, and is excited about what’s next.
Why you’ll love it here
- Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year.
- Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere.
- Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together.
- Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits.
- Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being.
- Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow.
- Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups.
- Community Engagement: Make a difference through our volunteering program.
We live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose. Be a part of something bigger with us!
GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences. We do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status.
The total annual salary for this full-time position is $181,000- $240,000 + equity + benefits. The company also offers equity and other benefits to employees, including healthcare, dental, vision, life insurance and 401(k) saving program. In addition to this wage, there are geolocation differentials that will increase pay depending on the work location. Additionally pay may vary depending on other factors including skills, experience, education, or training. Your recruiter can share more about the specific total compensation package based on your location during the hiring process.
If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at accommodationrequests@gofundme.com.
Global Data Privacy Notice for Job Candidates and Applicants:
Depending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required.
Learn more about GoFundMe:
We’re proud to partner with GoFundMe.org, an independent public charity, to extend the reach and impact of our generous community, while helping drive critical social change. You can learn more about GoFundMe.org’s activities and impact in their FY ‘25 annual report.
Our annual “Year in Help” report reflects our community’s impact in advancing our mission of helping people help each other.
For recent company news and announcements, visit our Newsroom.
Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only
We use Metaview as part of our hiring process for jobs in NYC and certain features may qualify it as an automated employment decision tool (AEDT), as defined by New York City Local Law 144. As part of the hiring process, we provide Metaview with job requirements and candidate submitted resumes and application materials to assist in evaluating job-related qualifications. While this tool is used to improve efficiency and support our recruiting personnel, all final hiring decisions are made by GoFundMe employees.
We began using Metaview on March 10, 2026. The Metaview tool has been reviewed by an independent auditor. Results of the audit may be viewed here. The tool evaluates your professional experience, technical skills, education, and other qualifications using information collected directly from your submitted resume and application materials; all such data is retained in accordance with GoFundMe’s Personnel Privacy Notice and applicable legal requirements. If you would like to request an alternative selection process or a reasonable accommodation, please contact accommodationrequests@gofundme.com.
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Senior Staff Applied AI Engineer - Context Retrieval
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P-1549
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.
The Mission
Databricks agents are only as good as the context they can retrieve. Whether an agent is answering a question about last quarter's revenue, debugging a failing job, generating SQL against a 10,000-table lakehouse, or summarizing a Wiki page, its quality is bounded by what it can find — and how well it understands what it finds.
We are hiring a Senior Staff Applied AI Engineer to own context retrieval for Databricks agents across SaaS providers. This is a zero-to-one role with two deeply connected charters:
- Build the retrieval stack — query understanding, content understanding, ranking, retrieval, and evaluation — across the Enterprise SaaS data stored across multiple systems.
- Build the search subagents that sit on top of that stack and reason about what context is needed, how to retrieve it, and whether the right thing actually came back — closing the loop between an agent's intent and the substrate that serves it.
If you have deep Information Retrieval wisdom, have shipped retrieval systems for RAG and agentic workloads, and want to build the substrate — and the agents on top of it — that make every Databricks agent measurably smarter, this role is for you.
What You Will Do
- Build the full retrieval stack from scratch. Own the end-to-end system: query understanding, content understanding and indexing, hybrid retrieval, ranking, and evaluation. Make the architectural calls that will define how Databricks agents access context for years to come.
- Retrieve across heterogeneous data — structured and unstructured. Index and rank across structured assets (tables, columns, SQL queries, dashboards, code, notebooks, jobs) and unstructured content (docs, wikis, tickets, chat, images, video, audio). Each modality has its own signals — design retrieval that exploits them rather than flattens them.
- Connect to the SaaS surface area customers actually use. Build connectors and retrieval adapters for the systems where enterprise knowledge lives. Treat each retrieval source with its own freshness, permissions, and ranking signals.
- Optimize for two consumers at once. Retrieval must serve both LLMs (grounded, token-efficient, hallucination-resistant context) and humans (intuitive, explainable discovery). These are different objectives and require different signals — own both.
- Crack query understanding for agents. Agent queries don't look like web queries. Build query rewriting, decomposition, intent classification, and entity resolution tuned for multi-turn agentic workflows.
- Crack content understanding at scale. Build the pipelines that extract structure, entities, embeddings, summaries, and metadata from every supported asset type — and keep them fresh as customer data evolves.
- Build search subagents that reason about retrieval. Design the agentic layer that decides what context is needed, which sources to query, how to decompose and route the search, and — critically — whether the retrieved content is actually sufficient to answer the question. These subagents will plan multi-hop searches, issue follow-up queries when results are weak, ground claims against retrieved evidence, and hand back high-confidence context (or signal failure) to upstream agents. This is where IR meets agentic reasoning.
- Build the evaluation flywheel for both retrieval and subagents. Stand up offline evals (nDCG, MRR, Recall@K, Precision@K), LLM-as-judge harnesses, human-in-the-loop labeling, and online experimentation. Extend evaluation beyond ranking metrics to measure subagent decision quality — did it ask the right follow-up?, did it correctly recognize when retrieval failed?, did it ground its answer in the right evidence?. Quality you can't measure is quality you can't ship.
- Set technical direction and grow the team. Set the multi-year roadmap, mentor senior engineers, partner with Research, Product, and Platform leaders, and raise the technical bar across the org.
What We're Looking For
- 10+ years of software engineering experience, with significant time spent building production retrieval, search, or RAG systems at scale.
- Deep Information Retrieval (IR) expertise: lexical retrieval (BM25, Lucene/Elasticsearch/OpenSearch), dense retrieval (embeddings, ANN indexes — FAISS, ScaNN, HNSW), hybrid retrieval, and learning-to-rank.
- Hands-on experience with modern LLM-era retrieval: RAG architectures, query rewriting, re-ranking with cross-encoders, long-context strategies, and grounding techniques that reduce hallucination.
- Experience designing agentic systems on top of retrieval — search planners, multi-hop / iterative retrieval, self-reflection and sufficiency checks, tool-using agents that decide what to fetch and verify what came back.
- Strong grasp of relevance evaluation: nDCG, MRR, Precision@K, Recall@K; offline/online experimentation; LLM-as-judge frameworks; building human labeling pipelines.
- Experience working across structured and unstructured data — you've indexed and ranked over tables, code, and documents in the same system, and have opinions about how to do it well.
- Track record of building 0→1: you've stood up a retrieval system from an empty repo, made the foundational architectural decisions, and grown it into something that customers depend on.
- Demonstrated ability to operate as a technical leader: setting direction across teams, mentoring senior engineers, and influencing roadmap with research, product, and platform partners.
Nice to Have
- Experience building retrieval over enterprise SaaS sources (permissions, freshness, multi-tenancy, ACL-aware indexing).
- Background in agentic systems, tool use, or multi-turn retrieval for LLM agents.
- Contributions to open-source IR/search projects, or publications at SIGIR, KDD, WWW, EMNLP, or similar venues.
- Experience training or fine-tuning embedding models, rerankers, or query understanding models.
Why This Role
- Foundational impact. Retrieval is the single biggest lever on agent quality. The stack you build will sit underneath every Databricks agent and every customer-built agent on our platform.
- Greenfield with scale. You get the rare combination of starting from a clean sheet and having immediate access to massive enterprise scale, real customer data, and a world-class research org.
- The right team. You'll work alongside engineers and researchers behind Lakehouse, Apache Spark™, Delta Lake, MLflow, MosaicML, and DBRX.
Location
This role is based in our Mountain View, CA or San Francisco, CA office. Hybrid in-office collaboration expected.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
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AI Automation Senior Lead
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About Taskrabbit:
Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do’s, such as furniture assembly, handyman work, moving help, and much more.
At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We’re looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love. Together with IKEA, we’re creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world.
Taskrabbit is a hybrid company with employees distributed across the US and EU and a Built In — Best Places to Work (2022, 2023, 2024) continually ranked across multiple national and regional categories. Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed!
This is a hybrid role that will sit out of our San Francisco office. Hybrid in-office Tuesdays and Wednesdays of each week.
About the Role
We are looking for a builder to help lead our ‘AI for Work’ efforts. Together with the Director of AI Strategy and Enablement, you will build the internal AI infrastructure that makes our teams more efficient. That means building, evaluating vendors, and continuously evolving the AI systems our teams run on with the goal of maximizing every person's efficiency and scaling our ability to deploy agents across the business. You will embed directly within business functions across the organization, deeply understand how teams operate today, and fundamentally reimagine how they should operate tomorrow. This is not about bolting automation onto existing processes; it's about redesigning how work gets done with agentic tooling transforming (and eliminating) workflows. You will partner with leaders across the business to surface high-impact opportunities, architect intelligent solutions, and deliver measurable gains in productivity, output quality, and the experiences we deliver to our employees. You will define what "AI-native operations" looks like inside Taskrabbit.
As the AI Productivity and Business Automation Lead, you will also own a critical role in scouting, evaluating, testing, and piloting third-party AI tools to unlock significant productivity gains across Taskrabbit. You’ll work closely with the Director of AI Strategy and Enablement and functional leads to map high-value process bottlenecks and identify AI solutions. You’ll also help create structured experiments and pilot programs that demonstrate measurable business impact. In addition, you’ll help bring cutting-edge AI technology into practical application, supporting implementation and tracking success to drive our AI Strategic Plan.
You will be responsible for "mining" the business for efficiency opportunities while simultaneously helping to build the centralized orchestration layer that ensures our enterprise AI spend is governed, consistent, and scalable. This is a high-impact IC role designed for a "scrappy builder" who thrives on turning internal complexity into streamlined, automated excellence.
What You Will Do:
- Partner multiple functional leaders to define new standards for how teams operate in an AI-augmented environment. Reporting to the Director of AI Strategy and Enablement, you will establish the "AI-first" baseline for daily execution, ensuring that ways of working are clearly defined and consistent across all non-engineering functions.
- Conduct structured discovery, shadowing teams, interviewing stakeholders, and mapping end-to-end processes, to identify where AI can eliminate, redesign, or dramatically accelerate work
- Embed within internal business functions to develop a deep, firsthand understanding of current workflows, pain points, and decision-making processes to map high-value process bottlenecks.
- Reimagine workflows from first principles rather than automating existing steps; challenge assumptions about what requires human involvement and what doesn't
- Design, build, and deploy AI-powered automations, agents, and internal tools that reduce time spent on repetitive, low-value-add tasks while improving the quality and consistency of outputs
- Integrate large language models, agentic frameworks, and automation platforms into internal workflows with appropriate guardrails, error handling, and human-in-the-loop checkpoints
- Measure everything: establish baselines before intervention, track adoption and usage patterns post-deployment, and quantify productivity impact in terms of hours saved, error rates reduced, and cycle times compressed
- Serve as a trusted advisor to functional leaders on what AI can and cannot do for their teams; translate business problems into technical solutions and technical constraints into business language
- Stay abreast of the rapidly evolving AI tooling landscape (e.g., LLM capabilities, orchestration frameworks, RPA-to-AI convergence, no-code/low-code platforms) and calibrate our internal stack accordingly
- Build reusable patterns, templates, and playbooks so that successful automations in one function can be adapted and scaled across others
- Collaborate closely with the engineering and product organizations to ensure internal automation efforts align with our broader technology strategy and do not create shadow IT risk
- Help to define the framework for evaluating the success and health of our workforce transformation. You will determine the key signals that demonstrate progress, partnering with Finance and Data Science to ensure that operational shifts deliver validated value to Taskrabbit.
- You will focus on moving beyond tool adoption to fundamental change, ensuring our teams are positioned to focus on high-value, high-judgment work that drives enterprise performance.
- Beyond individual projects, you will focus on helping to build the mindset and capability for teams to lead their own evolution. You will create the models that allow the organization to stay agile, ensuring the workforce can continuously adapt as technology and market conditions change.
Skills Required:
- Educational Foundation: You hold a Bachelor’s degree in Computer Science or a comparable technical field, with demonstrated interest in Business Analytics, Finance, Data Science, applied AI, or related disciplines.
- Experience: You bring 5+ years of professional experience, including 1–2 years of direct, relevant experience in AI, data, or analytics-driven roles.
- GenAI Fluency: You have hands-on experience with generative AI tools (e.g., Gemini, ChatGPT, Claude) through professional, academic, or personal projects, with a strong understanding of concepts such as state management and prompt versioning.
- AI & ML Knowledge: You possess a solid understanding of AI technologies and machine learning concepts, and can apply them effectively in business contexts.
- Analytical Thinking: You demonstrate a strong analytical mindset, with the ability to design experiments, interpret metrics, and distinguish meaningful signals from noise.
- Communication Skills: You communicate clearly and concisely, translating complex technical insights into actionable recommendations for non-technical stakeholders.
- Ownership & Drive: You exhibit curiosity, a bias for action, and a strong sense of ownership in fast-moving, ambiguous environments.
- Hands-on Builder Mindset: You are a scrappy, execution-oriented builder who can take ideas from stakeholders and independently develop working agentic workflows without relying on external engineering resources.
- Business Acumen: You translate complex AI capabilities into clear business value, articulating ROI and impact for diverse stakeholders.
- Operational Excellence: You bring rigor to operations, including managing vendor relationships, forecasting technical costs (e.g., token usage), and maintaining system reliability and SLAs.
- Strategic AI Perspective: You stay current with rapid advancements in AI (e.g., LLMs, agents), proactively identifying implications for business and workforce transformation. You effectively bridge the gap between what is technically possible and what is practically scalable.
- Leadership & Influence: You are a self-starter who thrives in ambiguity and can lead high-stakes discussions with senior leaders, using structured thinking and compelling storytelling to drive alignment and change.
- Impact Orientation: You are deeply data-driven, partnering effectively with Finance and Data Science to define success metrics and ensure initiatives deliver measurable productivity gains and business impact.
- Continuous Learning: You demonstrate strong intellectual curiosity and a commitment to continuous learning, staying ahead of emerging technologies to ensure long-term organizational readiness.
Compensation & Benefits:
At Taskrabbit, our approach to compensation is designed to be competitive, transparent, and equitable. Total compensation consists of base pay + bonus + benefits + perks. The base pay range for this position is $192,000 - $250,000. This range is representative of base pay only, and does not include any other total cash compensation amounts, such as company bonus or benefits. Final offer amounts may vary from the amounts listed above and will be determined by factors including, but not limited to, relevant experience, qualifications, geography, and level.
You’ll love working here because:
- Taskrabbit is a Hybrid Company. We value flexibility and choice but also stay committed to regular in-person connection.
- The People. You will be surrounded by some of the most talented, supportive, smart, and kind leaders and teams -- people you can be proud to work with!
- The Diverse Culture. We believe that we make better decisions when our workforce reflects the diversity of the communities in which we operate. Women make up half of our leadership team and our diversity representation is above that of the tech industry average.
- The Perks. Taskrabbit offers our employees with employer-paid health insurance and a 401k match with immediate vesting for our US based employees. We offer all of our global employees generous and flexible time off with 2 company-wide closure weeks, Taskrabbit product stipends, wellness + productivity + education stipends, IKEA discounts, reproductive health support, and more. Benefits vary by country of employment.
Taskrabbit’s commitment to Diversity and Inclusion:
An Active Commitment to Equity within our Company and Platform. We are an inclusive community where all who share our mission and values belong. Our diverse team represents the communities we serve, breaking down systemic barriers, and transforming lives- one action at a time.
Taskrabbit is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, sex, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status. Taskrabbit is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.
Taskrabbit will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law.
Taskrabbit will never use text or chat applications to conduct interviews. We have a thoughtful and interactive interview process that includes an initial recruiter phone screen and several video-based interviews with our hiring teams. Communications will always be conducted by taskrabbit.com domain names.
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Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website (monks.com/careers).
Summary
We are looking for a software engineer to build internal tools that help our battery algorithm team work faster and smarter. You will develop applications for test data analysis, visualization, and documentation, incorporating AI powered capabilities where they accelerate engineering workflows. This is a software engineering role: you will write clean, maintainable code, build intuitive interfaces, and integrate modern AI services into practical tools that engineers actually use.
What You Will Do
- Build Python based applications for analyzing and visualizing large scale battery test data, including time series datasets.
- Develop web based GUIs that let engineers explore, filter, and interact with test results.
- Integrate LLM APIs (e.g., OpenAI, Anthropic) into workflows to automate documentation, extract context from requirement sheets, change reports, and code repositories.
- Create data pipelines that pull from multimodal sources and present actionable insights.
- Collaborate with algorithm engineers and test engineers to understand their pain points and build tools that solve real problems.
- Continuously improve tooling based on user feedback and evolving team needs.
Minimum Qualifications
- B.Sc. or M.Sc. in Computer Science, Electrical Engineering, Mechanical Engineering, or related field.
- 3+ years of professional software development in Python, including data analysis and visualization libraries (pandas, matplotlib, plotly, etc.)
- Experience building web based tools or applications with a frontend component (e.g., React, Streamlit, Dash, or similar)
- Strong debugging and problem solving skills.
- Comfortable working with APIs and integrating third party services.
Preferred Qualifications
- Experience integrating LLM APIs or AI services into applications (prompt engineering, API orchestration, retrieval augmented generation)
- Familiarity with time series data analysis
- Experience with document automation or generation (Word, PDF, slides)
- Exposure to battery management systems or embedded systems workflows• Experience with CI/CD, version control best practices, and collaborative development environments
At.Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.
What We Offer
.Monks has provided a compensation range that represents its good faith estimate of what Media.Monks may pay for the position at the time of posting. .Monks may ultimately pay more or less than the posted compensation range. The salary offered to the selected candidate will be determined based on job-related factors, but not based on a candidate’s sex or any other protected status.
Cupertino, CA
What We Offer
Benefits
- Excellent, full coverage medical, dental, and vision insurance
- Generous PTO and 15 company-wide holidays
- 401k with company contribution
- Paid parental leave
- Work-life balance with an emphasis on personal well-being
- Career growth in a disruptor space & entrepreneurial opportunities within the Monks network
- A globally diverse & inclusive culture with employee resource groups such as S4 Melanin, Pride.Monks, Cultura.Monks, and more!
- Authentic commitment to DEI efforts and sustainable growth. (Why Sir Martin Sorrell signed The Climate Pledge here!)
This role is subject to our Return to Office (RTO) policy. If you reside within a commutable distance of one of our office locations, you will be expected to work from the office a set number of days per week. The specific details, including the number of required office days, will be in accordance with the company’s then-current RTO policy, which is subject to change from time to time.
Monks has provided a compensation range that represents its good faith estimate of what Monks may pay for the position at the time of posting. Monks may ultimately pay more or less than the posted compensation range. The salary offered to the selected candidate will be determined based on job-related factors, but not based on a candidate’s sex or any other protected status.
About Monks
Monks is the global, digital-first, data-driven, unitary operating brand of S4 Capital plc. With a legacy of innovation and specialized expertise, Monks combines an extraordinary range of global Marketing and Technology Services to redefine how brands interact with the world. Through Monks.Flow, its flagship AI ecosystem for marketing orchestration, Monks transforms marketing into a growth engine, collapsing timelines and connecting brands to culture in real time. By deploying bespoke intelligent agents across disciplines and delivering culturally relevant, high-impact creative and digital solutions, Monks solves key critical business challenges across the entire brand enterprise to help brands sustain long-term impact.
Monks was named a Contender in The Forrester Wave™: Global Marketing Services, ranks among Cannes Lions' Top 10 Creative Companies (2022-25) and remains the only partner featured in AdExchanger’s Programmatic Power Players list every year (2020-24). Named Adweek’s first AI Agency of the Year (2023) and The One Show’s inaugural AI Pioneer Organization, Monks was also awarded Business Intelligence Group’s 2025 Excellence in Artificial Intelligence Award in both the Organizational and AI Product categories. As a trusted partner to cutting-edge innovators in tech, Monks earned titles such as Optimizely Experimentation Partner of the Year (2025), runner-up for the Adobe Firefly Partner Award (2024), and Workato’s AI Visionary Customer Impact Award (2024). Additionally, Monks achieved a record-breaking number of FWAs and continues to hold the most of any partner.
We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents—and resonates with—the world around us.
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Staff Software Engineer
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Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.
ABOUT THE TEAM:
ArsenalOS is the digital backbone of Anduril’s hardware enterprise. It connects the full lifecycle, from concept to build to field feedback, into one operating environment built for speed, traceability, autonomy, and continuous improvement. That environment includes not just the software used to design, plan, and execute work, but also the factory-facing infrastructure that connects operators, machines, test systems, and OT networks into the same adaptive Build Chain. It is not a support function, but rather a strategic investment by Anduril that the operating system of the hardware lifecycle is how we win. It will be one of the mechanisms by which Anduril out-builds, out-adapts, and out-scales the traditional defense industrial base.
ABOUT THE JOB:
We are looking for a Staff Software Engineer to join our QualityOS team within Forge MES (Manufacturing Execution System). As a Staff Engineer, you will set the technical direction and architectural standards. You'll architect and implement mission-critical distributed systems that scale Anduril's manufacturing operations while maintaining the technical bar for reliability, performance, and maintainability.
Your impact will span beyond the immediate team. You'll serve as a technical bridge between the QualityOS product team and our Platform/Foundations organization, ensuring we build on solid infrastructure while influencing platform capabilities to meet manufacturing needs. You'll represent the quality domain in broader MES architectural decisions, contributing to technical strategy that affects multiple product teams.
We're looking for someone who combines deep technical expertise with strong collaborative instincts—someone who can dive into complex distributed systems, establish patterns that others follow, and drive consensus across engineering teams. You'll balance hands-on technical execution on critical features with raising the technical standards of the team through architecture reviews, code quality, and operational excellence. Your decisions will have lasting impact on how Anduril scales manufacturing quality systems into a next-generation defense company.
WHAT YOU'LL DO
Technical Architecture & Execution:
- Define and drive technical architecture for QualityOS - make decisions on system design, scalability patterns, integration strategies, and platform vs. build tradeoffs that shape team execution
- Architect and implement complex distributed systems - build mission-critical services, APIs, and tooling that enable safe, fast delivery across manufacturing quality workflows
- Lead by example with engineering excellence - establish patterns through hands-on work: comprehensive testing, deployment safety (blue/green/canary), infrastructure as code, observability, and operational rigor
Cross-Team Influence & Collaboration:
- Bridge product and platform teams - collaborate with Platform/Foundations to shape shared infrastructure based on QualityOS needs while driving adoption of platform capabilities
- Partner across MES product teams - integrate QualityOS into cohesive manufacturing experiences, evolve data models across quality/production domains, and drive technical consensus on cross-cutting concerns
- Represent quality domain technically - work with architecture, security, operations, and infrastructure teams to ensure quality requirements influence broader technical decisions
Team & Technical Standards:
- Raise the technical bar for the team - through rigorous code review, architecture discussions, establishing shared ownership models, and improving practices that balance velocity with correctness
- Remove friction and unblock execution - identify systemic technical issues, eliminate single points of failure, and create leverage through automation and improved tooling
REQUIRED QUALIFICATIONS
- 12+ years of experience in a software engineering role building products in fast-paced environments
- Proven ability to influence technical direction across teams - drive architectural consensus, build alignment, and lead technical initiatives beyond a single team
- Experience working with large enterprise applications and platforms with high availability requirements
- Strong full-stack capabilities with expertise in modern web technologies - JavaScript/TypeScript, React, and web frameworks (Next.js, Remix, etc.)
- User-focused engineering mindset - ability to translate user needs into technical solutions while balancing user experience with engineering constraints
- Excellent communication skills, able to influence stakeholders, translate ambiguous requirements and build cross-team alignment.
- U.S. Person status is required as this position needs to access export controlled data
PREFERRED QUALIFICATIONS
- We encourage people from all backgrounds to apply but our tech stack uses AWS, Typescript, and React/Remix so familiarity with all of these tools will be particularly helpful
- Experience in hyper growth startup-like environments. Demonstrated successes in scaling and maturing software development processes, team culture and methods, and ability to balance short-term and long-term trade offs
- Manufacturing/quality domain knowledge - experience with quality management systems (QMS), manufacturing execution systems (MES), or incident management platforms
- Experience in defense, autonomy, robotics, or mission-critical systems (helpful but not required)
- Experience with AI/LLM integration - leveraging state-of-the-art models and agentic tooling in production software development
- Eligible to obtain and maintain a U.S. TS/SCI clearance
The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:
Benefits
At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits.
Protecting Yourself from Recruitment Scams
Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.
To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:
-
No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.
- Please always verify communications:
- Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an
@anduril.comaddress. - Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com.
- Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an
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Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.
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What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.
Data Privacy
To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.
By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.
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Senior Software Engineer - Agentic AI Platform
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Who is Tenable?
Tenable® is the Exposure Management company. 44,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 45 percent of the Global 2000, and large government agencies. Come be part of our journey!
What makes Tenable such a great place to work?
Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together!
Applicants must be authorized to work for any employer in the U.S. without sponsorship. We are unable to provide sponsorship for work visas of any kind at the time of hire, or at any point during employment. This includes, but is not limited to: F1-OPT, F1-CPT, H-1B, TN, J-1, etc.
Location: Live in or able to relocate to San Francisco / San Jose area
Your Role:
Tenable is not only building great products and carving out a completely new category, but we are also building a world-class engineering culture committed to hiring the very best.
We are looking for a Senior Software Engineer to join a founding initiative within our engineering organization. In this role, you will help design and implement the Agentic AI Platform, the orchestration layer and nervous system that enables autonomous agents to reason, plan, and execute complex security workflows across our Exposure Management ecosystem.
This is a hands-on engineering role with broad impact. You will not just be "using" LLMs; you will be building the distributed systems, state machines, and tooling that transform generative models into reliable, enterprise-grade agents.
While you will work from home the majority of your time, there may be an expectation to gather for in-person meetings on occasion.
Your Opportunity:
- Build the Agentic Backbone: Architect and implement the backend services that power multi-agent workflows. You will build systems that allow AI agents to decompose complex user requests, manage state, and execute tasks across distributed microservices.
- Orchestration & Workflow Automation: Design scalable workflow engines and "human-in-the-loop" systems. You will enable agents to perform long-running investigations and remediation tasks, balancing autonomy with control.
- Bridge AI & Enterprise Infrastructure: Create the integration layer between modern Python-based AI frameworks and Tenable’s robust JVM-based microservices architecture.
- Reliability & Guardrails: Implement verification layers, citations, and security guardrails to ensure agents operate deterministically and safely. You will treat "prompts" as code and model outputs as untrusted input that requires validation.
- Tooling & RAG: Build advanced Retrieval-Augmented Generation (RAG) pipelines and "Tool Use" capabilities, allowing agents to query databases, call internal APIs, and synthesize data from disparate sources.
- Lead Technical Direction: Collaborate with researchers and product leads to define the roadmap for AI orchestration. Champion best practices for MLOps, agent evaluation, and system observability.
What You’ll Need:
- B.S. or M.S. in Computer Science, Engineering, or a related field, or equivalent practical experience.
- 5+ years of software engineering experience (7+ for Staff level), with a strong background in building backend systems, APIs, and platforms.
- Agentic AI Expertise: Hands-on experience building AI agents and autonomous workflows using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Pydantic AI.
- Location: Live in or able to relocate to San Francisco / San Jose area
- Polyglot Proficiency: Strong programming skills in Python (essential for AI/ML ecosystems) with experience in, or a willingness to work with, JVM-based languages (Java, Kotlin, or Scala) for high-scale platform components.
- Distributed Systems: Experience designing event-driven architectures, managing concurrency, and building fault-tolerant services (e.g., using Kafka, gRPC, REST).
- Data Fluency: Proficiency with Relational Databases (PostgreSQL) and experience with Vector Databases (e.g., Pinecone, Weaviate, Milvus) or search engines (Elasticsearch).
- Builder Mindset: A self-starter who thrives in ambiguity and is passionate about taking AI from "prototype" to "production-grade."
And Ideally:
- LLM Ops & Evaluation: Experience designing frameworks to evaluate agent performance (accuracy, latency, cost) and implementing CI/CD for AI workflows.
- Cloud Native: Experience deploying and scaling services in AWS using Docker and Kubernetes.
- Graph & Search: Familiarity with Knowledge Graphs or advanced search algorithms to improve agent reasoning.
- Security Context: Understanding of cybersecurity concepts (vulnerability management, cloud security) is a plus, but not required if you are a strong systems engineer.
#LI-LP1
This is the base pay range for this position. Compensation for the role will depend on a number of factors, including the candidate's qualifications, skills, competencies, location and experience, and may fall outside of the range shown. Employees are also eligible for variable compensation in addition to base pay (commission for sales roles, bonus for non-sales roles), depending on company and individual performance. Tenable also offers a variety of comprehensive and competitive benefits which include: medical, dental, vision, disability and life insurance; 401(k) retirement savings with company match; an employee stock purchase plan; an employee referral program; flexible spending accounts; an Employee Assistance Program (EAP); education assistance; parental leave; paid time off (PTO); company-paid holidays; health and wellness events; and community programs.
We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable - through all equal employment opportunity laws and regulations at the international, federal, state and local levels. If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact Recruiting@Tenable.com for further assistance.
Tenable Data Consent Statement
Tenable is committed to protecting the privacy and security of your personal data. This Notice describes how we collect and use your personal data during and after your working relationship with us, in accordance with the General Data Protection Regulation (“GDPR”). Please click here to review.
For California Residents: The California Consumer Privacy Act (CCPA) requires that Tenable advise you of certain rights related to the collection of your private information. Please click here to review.
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Principal engineer, AI Serving Framework Architect (Software)
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Please Note:
To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period.
Advancing the World’s Technology Together
Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future.
We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities.
Job Title: Principal engineer, AI Serving Framework Architect (Software)
What You’ll Do
The Architecture Research Lab (ARL) focuses on addressing fundamental system-level bottlenecks in modern AI, particularly in memory capacity/bandwidth and system-scale communication. By leveraging Samsung’s world-class memory technologies, ARL explores and defines next-generation AI system architectures that deliver step-function improvements in performance, efficiency, and scalability.
We are seeking a Principal AI System Architect who will play a key role in bridging AI workloads, system architecture, and hardware design. In this role, you will develop system-level performance models, drive architecture-level design decisions, and propose forward-looking AI system architectures that shape Samsung’s long-term AI platform strategy.
Location: Daily onsite presence at our San Jose office in alignment with our Flexible Work policy
Job ID: 42853
- As a Tech Lead, leading research teams in Korea and proposing technical direction
- Research on dynamic scheduling methodologies for maximizing AI inference performance in multi-rack scale memory-centric systems, comprised of heterogeneous compute-capable memory and hierarchical memory
- Investigating methods to accelerate search operations in RAG’s vector DB and AI Agent’s knowledge-graph by leveraging compute-capable memory
- Studying strategies for optimally placing KVCache and a vector DB in hierarchical memory to minimize frequent SSD accesses and reduce IO stalls
- Proposing SW design for implementing the derived optimization algorithms on open-source platforms such as vLLM
What You Bring
- PhD in Computer Science or a related field with 10+ years of experience in AI Serving Framework for large-scale computing, with focusing on the AI workloads.
- Led a project to build and optimize a Large Language Model (LLM) Inference Software Stack on a multi-rack scale system to deliver AI Inference services to over 100,000 users.
- Extensive experience in designing AI Inference Software Stacks for heterogeneous devices.In-depth understanding of the internal architecture and operation mechanisms of inference engines such as vLLM.
- Proficiency in AI Inference System Profiling and optimization.
- Knowledge and practical experience with future AI workloads, including reasoning models, multi-modal solutions, AI agents, and world models.
- Strong understanding of compute, memory, and networking bottlenecks in AI systems.
- Required skillsets: PyTorch, Python, and C++
- A collaborative mindset, curiosity, and resilience in solving complex challenges.
- Excellent verbal, presentation, and written communication skills.
- (Nice to have) Native or fluent Korean speakers are preferred.
- You’re inclusive, adapting your style to the situation and diverse global norms of our people.
- You approach challenges with curiosity and resilience, seeking data to help build. Understanding.
- You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
- Innovative and creative, you proactively explore new ideas and adapt quickly to change
#LI-SF1
What We Offer
The pay range below is for all roles at this level across all US locations and functions. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. We also offer incentive opportunities that reward employees based on individual and company performance.
This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours.
Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community.
Enjoy Time Away You’ll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge.
Care for Family Whatever family means to you, we want to support you along the way—including a stipend for fertility care or adoption, medical travel support, and virtual vet care for your fur babies.
Prioritize Emotional Wellness With on-demand apps and free confidential therapy sessions, you’ll have support no matter where you are.
Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier.
Embrace Flexibility Benefits are best when you have the space to use them. That’s why we facilitate a flexible environment so you can find the right balance for you.
Equal Opportunity Employment Policy
Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status.
When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations.
Recruiting Agency Policy
We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings.
Applicant AI Use Policy
At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we prohibit the use of generative AI tools to misrepresent a candidate's true skills and qualifications. Permitted uses are limited to basic preparation, grammar, and research, but all submitted content and interview responses must reflect the candidate’s genuine abilities and experience. Violation of this policy may result in immediate disqualification from the hiring process.
Applicant Privacy Policy
https://semiconductor.samsung.com/about-us/careers/us/privacy/
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Senior Engineer, AI Systems
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Please Note:
To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period.
Advancing the World’s Technology Together
Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future.
We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities.
The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. Join us in our passion to shape the future of computing!
This role is being offered under the AGICL lab as a part of DSRA. We are a research-driven systems lab working at the intersection of large language models, accelerator hardware, and high-performance software stacks. Our mission is to design, prototype, and optimize next-generation AI systems through tight hardware–software co-design.
Our team works hands-on with cutting-edge accelerator hardware, experimental memory systems, and emerging domain-specific languages (DSLs). We build and optimize a Triton-based software stack that pushes the limits of performance, efficiency, and scalability for modern LLM workloads.
We are looking for a Senior AI Systems Engineer with deep experience in high performance Triton kernel development on modern accelerators. In this role, you will design, analyze, and optimize performance-critical kernels used in large scale LLM inference and training pipelines. You will work closely with hardware architects, compiler engineers, and ML researchers to identify performance bottlenecks, interpret profiling data, and co-design solutions that span software and hardware boundaries.
This role is ideal for engineers who enjoy working close to the hardware stack while still reasoning deeply about model level abstractions.
Location: Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy.
What You’ll Do
- Design, implement, and optimize high-performance Triton kernels for LLM workloads on existing accelerators.
- Analyze kernel performance using profiling tools; interpret metrics such as latency, throughput, occupancy, memory bandwidth, and compute utilization.
- Identify performance bottlenecks in kernel design (e.g., memory access patterns, synchronization, tiling strategies) and propose concrete optimizations.
- Work across the stack; from model architecture to kernel implementation—to ensure end-to-end performance efficiency.
- Collaborate with hardware and compiler teams on hardware–software co-design, providing feedback that influences future accelerator and DSL designs.
- Prototype and evaluate kernel optimizations using upcoming DSLs and experimental compiler flows.
- Contribute to the evolution of a Triton-based software stack used for cutting-edge research and production-grade experimentation.
- Document design decisions, performance trade-offs, and optimization strategies clearly for internal and external stakeholders.
What You Bring
- Bachelor’s with 5+ years, or Master’s with 3+ years, or PhD's with 0+ years of industry experience.
- Strong experience writing high-performance Triton kernels for GPUs or other accelerators.
- Solid understanding of LLM fundamentals, including attention mechanisms, transformer architectures, and inference/training workflows.
- Deep knowledge of accelerator hardware architecture, including: Memory hierarchies (HBM, SRAM, caches).
- Proven ability to read and interpret profiling data and performance counters.
- Experience diagnosing and resolving performance bottlenecks in kernel-level code.
- Strong systems programming skills in Python and low-level performance-oriented programming paradigms.
- Experience with hardware–software co-design or compiler-assisted optimization.
- Familiarity with FlashAttention, fused kernels, MoE kernels, and different attention mechanisms.
- Experience working with emerging or experimental domain-specific languages (DSLs) for accelerator programming.
- Background in ML systems, compilers, or performance engineering.
- Prior experience working with different accelerator backends (including but not limited to CUDA).
- Opportunity to work on cutting-edge accelerator hardware and experimental software stacks.
- Direct impact on the performance and design of next-generation AI systems.
- A highly collaborative environment spanning hardware, systems, and ML research.
- Flexibility to publish, prototype, and influence future hardware and software directions.
- Ability to work effectively in cross-functional, research-oriented environments.
- Strong analytical and problem-solving skills.
- You’re inclusive, adapting your style to the situation and diverse global norms of our people.
- An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
- You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
- Innovative and creative, you proactively explore new ideas and adapt quickly to change.
#LI-VL1
What We Offer
The pay range below is for all roles at this level across all US locations and functions. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. We also offer incentive opportunities that reward employees based on individual and company performance.
This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours.
Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community.
Enjoy Time Away You’ll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge.
Care for Family Whatever family means to you, we want to support you along the way—including a stipend for fertility care or adoption, medical travel support, and virtual vet care for your fur babies.
Prioritize Emotional Wellness With on-demand apps and free confidential therapy sessions, you’ll have support no matter where you are.
Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier.
Embrace Flexibility Benefits are best when you have the space to use them. That’s why we facilitate a flexible environment so you can find the right balance for you.
Equal Opportunity Employment Policy
Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status.
When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations.
Recruiting Agency Policy
We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings.
Applicant AI Use Policy
At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we prohibit the use of generative AI tools to misrepresent a candidate's true skills and qualifications. Permitted uses are limited to basic preparation, grammar, and research, but all submitted content and interview responses must reflect the candidate’s genuine abilities and experience. Violation of this policy may result in immediate disqualification from the hiring process.
Applicant Privacy Policy
https://semiconductor.samsung.com/about-us/careers/us/privacy/
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Apply to Samsung Semiconductor
BioMedical AI Research Engineer
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About Xaira Therapeutics
Xaira is an innovative biotech startup focused on leveraging AI to transform drug discovery and development. The company is leading the development of generative AI models to design protein and antibody therapeutics, enabling the creation of medicines against historically hard-to-drug molecular targets. It is also developing foundation models for biology and disease to enable better target elucidation and patient stratification. Collectively, these technologies aim to continually enable the identification of novel therapies and to improve success in drug development. Xaira is headquartered in the San Francisco Bay Area, Seattle, and London.
About the Role
We are seeking a Biomedical AI Engineer to design and deploy agentic AI systems that can reason over biomedical knowledge, plan multi-step analyses, and autonomously integrate diverse scientific data sources to accelerate therapeutic discovery.
This role goes beyond traditional LLM + RAG pipelines. You will build AI agents that can retrieve, synthesize, evaluate, and act on biomedical information across literature, omics datasets, and clinical records operating as intelligent systems embedded within discovery workflows.
Key Responsibilities
- Design and implement agentic AI architectures capable of multi-step reasoning, planning, and tool use in biomedical contexts.
- Develop LLM-based agents that dynamically retrieve, rank, and synthesize knowledge from scientific literature, knowledge graphs, omics datasets, and clinical data.
- Build memory and feedback mechanisms that allow agents to refine hypotheses, update context, and adapt to evolving data.
- Integrate external tools (analysis pipelines, simulation engines, statistical models, databases) into autonomous agent workflows.
- Architect scalable systems that combine structured and unstructured biomedical data within production-grade AI environments.
- Collaborate closely with computational biologists, translational scientists, and software engineers to embed agentic systems into real-world discovery pipelines.
- Evaluate robustness, reliability, and interpretability of autonomous systems in high-stakes biomedical settings.
Qualifications
- Degree in Computer Science, Machine Learning, Computational Biology, Biomedical Informatics, or related field.
- Strong hands-on experience with large language models, including fine-tuning, alignment, and structured prompting.
- Experience building agent-based systems or complex LLM orchestration frameworks (e.g., multi-agent systems, tool-using LLMs, planning modules).
- Proficiency in Python and modern ML frameworks (PyTorch, JAX, TensorFlow).
- Experience working with large-scale biomedical datasets (genomics, transcriptomics, clinical records, or scientific corpora).
Preferred
- Experience designing autonomous research assistants or AI systems that perform multi-step scientific reasoning.
- Familiarity with knowledge graphs, hybrid symbolic-neural systems, or multimodal foundation models.
- Understanding of privacy, security, and regulatory considerations in healthcare AI.
Compensation
We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $190,000 - $280,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.
Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.
TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.
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Vice President, Information Technology
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About Xaira Therapeutics
Xaira is an innovative biotech startup focused on leveraging AI to transform drug discovery and development. The company is leading the development of generative AI models to design protein and antibody therapeutics, enabling the creation of medicines against historically hard-to-drug molecular targets. It is also developing foundation models for biology and disease to enable better target elucidation and patient stratification. Collectively, these technologies aim to continually enable the identification of novel therapies and to improve success in drug development. Xaira is headquartered in the San Francisco Bay Area, Seattle, and London.
About the Role
We are a technology-driven biotechnology company using AI to compress the timelines of drug discovery and development. At Xaira, we believe that becoming a truly AI-native organization is not a future ambition. It is a present imperative. The way we build our infrastructure, adopt our tools, and lead our technology function will determine how fast we can move and how far we can go.The optimal candidate is energized and enthused to push the frontier of what an enterprise can do with all available and evolving AI tools.
We are seeking a VP of Information Technology to serve as the senior-most IT leader and AI evangelist on the team. The optimal candidate is energized and enthused to push the frontier of what an enterprise can do with all available and evolving AI tools.This role will own the full scope of IT: strategy, security, infrastructure, operations, and the team that delivers it all. You will set the technology direction for Xaira, build a high-performing function, and be accountable for outcomes across the organization.
This is a role for an experienced leader who understands that in a company like ours. It is not a support function. It is the infrastructure on which scientific breakthroughs are built. You will be the architect of an AI-native enterprise, embedding intelligence into how we operate, how we discover, and how we scale. You will enable our team to move faster, work smarter, and focus on what matters most: getting medicines to patients sooner.
What You'll Own
Technology Strategy & Architecture
- Define and own the company's IT roadmap across cloud infrastructure, enterprise applications, end-user computing, networking, and AI-powered systems purpose-built for drug discovery and development
- Make architectural decisions with long-term scalability in mind, not just near-term need
- Lead the company's AI adoption strategy across the enterprise, identifying where AI and machine learning tools can meaningfully accelerate research workflows, computational biology pipelines, and clinical operations
- Embed AI-driven automation into how the company works at every level, from IT operations and security to scientific data workflows, reducing manual overhead and giving researchers more time to do science
- Identify and adopt emerging technologies in the life sciences AI space that create meaningful competitive advantage in speed and precision
Infrastructure & Operations
- Ensure the reliability, performance, and scalability of all enterprise systems including the AI, machine learning, and high-performance computing platforms that power drug discovery
- Build and maintain cloud-first infrastructure that can support the significant compute and data demands of AI-driven research without becoming a bottleneck to scientific progress
- Own incident management processes including root cause analysis, post-mortems, and follow-through on remediation
- Establish and enforce SLAs, OKRs, and operational standards with clear accountability
Security
- Serve as the company's senior security leader in the absence of a CISO, owning the full security posture across network, endpoint, identity, cloud, and application layers
- Lead all compliance programs including SOC 2, ISO 27001, GDPR, CCPA, and applicable life sciences regulatory requirements
- Build a proactive security culture that encompasses threat modeling, vulnerability management, incident response, and employee awareness
- Report regularly to executive leadership and the board on risk, security posture, and mitigation plans
- Make informed decisions on the trade-offs between operational speed and security risk
Team Leadership
- Recruit, develop, and retain a strong IT organization with the depth to scale alongside the business
- Build a culture of accountability, professional growth, and operational excellence
- Develop strong internal talent and succession planning so the organization is resilient at every level
Executive Partnership
- Act as a trusted technology advisor to the CEO, CFO, and broader leadership team
- Partner with Engineering, Finance, Legal, People, and Operations to ensure IT functions as a strategic business enabler
- Communicate technical strategy and risk in clear, accessible terms for non-technical stakeholders
Vendor & Financial Management
- Own and manage the IT budget with a focus on both fiscal discipline and strategic investment
- Develop and manage key vendor relationships and negotiate enterprise agreements that support long-term business flexibility
- Ensure technology spending is purposeful and tied to measurable business outcomes
What We're Looking For
Required
- 15+ years of progressive IT leadership, including 5+ years as the senior IT leader (VP, CIO, or equivalent) at a high-growth technology company
- Proven experience owning both IT operations and security without a dedicated CISO
- Deep expertise across cloud platforms (GCP, AWS, or Azure), enterprise architecture, SaaS ecosystems, and modern endpoint management
- Working knowledge of cybersecurity principles, risk frameworks, and compliance programs sufficient to lead the function with credibility
- Demonstrated ability to lead effectively in uncharted territory, setting direction and adapting as the business evolves
- Strong analytical and data-driven approach to decision-making
- Excellent executive communication skills, with the ability to present to and influence a board of directors
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical experience
Preferred
- Experience at a scaled technology or life sciences company
- Proven hands-on experience with AI/ML infrastructure, LLM tooling, and intelligent automation at enterprise scale
- A track record of driving company-wide AI adoption, not just evaluating tools but leading the organizational change that makes adoption stick
- Experience scaling IT through rapid organizational growth
- CISSP, CISM, or equivalent security credential
- MBA or advanced technical degree
Leadership Competencies
- Strategic Vision Translates complex business and scientific goals into a clear, actionable IT roadmap. Anticipates organizational needs and makes technology investments that deliver long-term value.
- People Leadership Builds, develops, and retains high-performing teams. Creates an environment where people do their best work through clarity of direction, coaching, and genuine investment in career growth.
- Operational Excellence Holds a high bar for reliability, efficiency, and continuous improvement. Establishes the processes, metrics, and accountability structures that keep the organization running at its best.
- Security & Risk Management Owns the company's security posture end to end. Makes sound, defensible decisions on risk in a regulated, data-sensitive environment and communicates clearly to executive leadership.
- Communication & Influence Earns trust and drives alignment across the organization, from the lab bench to the boardroom. Able to make technical complexity understandable and compelling to any audience.
Compensation
We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $300,000 - $325,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.
Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.
TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.
Ready to apply?
Apply to Xaira Therapeutics
Senior Business Development Manager, AI Native Ecosystems & Strategic Influence
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We’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry.
This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.
Senior Business Development Leader, AI Native Ecosystems & Strategic Influence
THE ROLE You will be the primary architect of Everpure’s "Pull-Through" strategy, ensuring the world’s most influential AI Native startups mandate Everpure™ as their foundational data layer. By moving upstream to influence technical and executive leadership, you will secure our place within $100M+ GPU contracts across Neoclouds and Hyperscalers. This high-impact role bridges the gap between disruptive AI engineering and global cloud infrastructure, establishing Everpure™ as the indispensable standard for the next generation of AI giants.
WHAT YOU’LL DO
- Establish Architectural Mandates: Build deep-rooted partnerships with C-suite and Engineering leaders at high-growth AI startups to get Everpure™ written into their "Standard Reference Architecture," ensuring our technology is a non-negotiable requirement for their production environments.
- Drive Ecosystem Orchestration: Collaborate with the Neocloud ecosystem (e.g., CoreWeave, Lambda) to integrate Everpure™ as a first-class citizen within their GPU-as-a-Service offerings, creating seamless "bring-your-own-storage" paths for customers.
- Execute Competitive Displacements: Outmaneuver niche storage players by positioning the reliability, power efficiency, and "Evergreen" model of the Everpure™ Platform as the only sustainable choice for large-scale LLM and RAG deployments.
- Influence Product Evolution: Serve as a strategic conduit between the AI startup ecosystem and Everpure’s internal AI/HPC product teams, ensuring our roadmap anticipates and solves for the extreme-scale requirements of emerging AI training loops.
WHAT YOU BRING
- Strategic Ecosystem Influence: Proven ability to navigate and influence the SF/NYC/Seattle AI startup landscape and Neocloud provider networks to secure high-impact, "lighthouse" partnerships.
- Technical AI Fluency: Deep understanding of AI infrastructure, including NVIDIA architectures, RDMA/RoCE fabrics, and the critical role of metadata performance in high-frequency AI training and inference.
- Business Transformation Expertise: Demonstrated success in executing complex, non-traditional business development motions that shift market perception and drive large-scale infrastructure adoption through strategic influence rather than high-volume transactions.
- Collaborative Leadership: Ability to lead cross-functional initiatives independently, acting as a facilitator between external executive stakeholders and internal engineering teams to resolve complex architectural challenges.
Salary ranges are determined based on role, level and location. For positions open to candidates in multiple geographical locations, the base salary range is reflective of the labor market across the applicable locations.
This role may be eligible for incentive pay and/or equity.
There is no application deadline and we accept applications on an ongoing basis until the job is filled.
WHAT YOU CAN EXPECT FROM US:
- Innovation: We celebrate those who think critically, like a challenge, and aspire to be trailblazers.
- Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology™, Fortune's Best Workplaces in the Bay Area™, and certified as a Great Place to Work®!
- Team: We build each other up and set aside ego for the greater good.
And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events. Check out purebenefits.com for more information.
ACCOMMODATIONS AND ACCESSIBILITY:
Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at TA-Ops@purestorage.com if you’re invited to an interview.
OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM:
We’re forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn’t just accepted but embraced. That’s why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership.
Everpure is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.
Join us and bring your best.
Bring your bold.
Pure and simple.
Ready to apply?
Apply to Everpure
We’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry.
This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.
THE ROLE
Everpure is seeking a talented and experienced Agentic AI Software Engineer to join our dynamic team in Santa Clara, CA. In this role, you will build production-grade agentic AI solutions that drive enterprise automation and digital transformation. You will design and deploy LLM-based services , implement strong prompt engineering techniques, guardrails, and model evaluation frameworks, and ensure secure, scalable delivery on AWS. This role focuses on building reliable, secure, and observable AI systems integrated with enterprise platforms.
WHAT YOU'LL DO
- Design and develop production-grade Agentic AI solutions using LLMs, multi-agent workflows, and RAG pipelines.
- Implement and refine Prompt Engineering strategies, including structured prompts, tool-calling, and agent orchestration to ensure reliable and deterministic AI behavior.
- Build secure backend services and REST APIs in Python, integrating AI agents with enterprise systems using microservices architecture.
- Establish robust guardrails, including output validation, fallback strategies, rate limiting, safe tool invocation, and human-in-the-loop patterns where appropriate.
- Develop and maintain model evaluation frameworks, including automated prompt testing, retrieval validation, regression testing, and performance benchmarking.
- Deploy and operate AI services on AWS, leveraging services such as EC2, S3, Lambda, RDS, and containerization using Docker and Kubernetes.
- Apply strong security best practices, including access control, data protection, audit logging, and secure API design.
- Ensure strong observability, monitoring, and reliability of AI-driven services in production.
- We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara, CA office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.
WHAT YOU BRING
- 3–6 years of professional software engineering experience building backend or distributed systems.
- Strong proficiency in Python and developing RESTful APIs.
- Hands-on experience building LLM-based or Agentic AI applications, including RAG, embeddings, and vector database integrations.
- Practical experience in Prompt Engineering and understanding of LLM behavior, limitations, and optimization techniques.
- Experience deploying and operating applications in AWS cloud environments.
- Experience implementing AI guardrails, model validation techniques, and production monitoring.
- Solid understanding of cloud-native security practices and secure system design.
Preferred Qualifications
- Experience with multi-agent orchestration frameworks or AI tool integration patterns.
- Familiarity with vector databases such as Pinecone, Weaviate, OpenSearch, or similar.
- Experience with CI/CD pipelines and containerized deployments using Docker and Kubernetes.
- Exposure to enterprise platform integrations such as ServiceNow, Snowflake, or similar systems.
- Familiarity with observability tools such as Datadog, Prometheus, or similar platforms.
#LI-ONSITE
#LI-TH3
Salary ranges are determined based on role, level and location. For positions open to candidates in multiple geographical locations, the base salary range is reflective of the labor market across the applicable locations.
This role may be eligible for incentive pay and/or equity.
There is no application deadline and we accept applications on an ongoing basis until the job is filled.
WHAT YOU CAN EXPECT FROM US:
- Innovation: We celebrate those who think critically, like a challenge, and aspire to be trailblazers.
- Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology™, Fortune's Best Workplaces in the Bay Area™, and certified as a Great Place to Work®!
- Team: We build each other up and set aside ego for the greater good.
And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events. Check out purebenefits.com for more information.
ACCOMMODATIONS AND ACCESSIBILITY:
Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at TA-Ops@purestorage.com if you’re invited to an interview.
OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM:
We’re forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn’t just accepted but embraced. That’s why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership.
Everpure is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.
Join us and bring your best.
Bring your bold.
Pure and simple.
Ready to apply?
Apply to Everpure
We’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry.
This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.
THE ROLE
Everpure is seeking a talented and experienced Agentic AI Software Engineer to join our dynamic team in Santa Clara, CA. In this role, you will build production-grade agentic AI solutions that drive enterprise automation and digital transformation. You will design and deploy LLM-based services , implement strong prompt engineering techniques, guardrails, and model evaluation frameworks, and ensure secure, scalable delivery on AWS. This role focuses on building reliable, secure, and observable AI systems integrated with enterprise platforms.
WHAT YOU'LL DO
- Design and develop production-grade Agentic AI solutions using LLMs, multi-agent workflows, and RAG pipelines.
- Implement and refine Prompt Engineering strategies, including structured prompts, tool-calling, and agent orchestration to ensure reliable and deterministic AI behavior.
- Build secure backend services and REST APIs in Python, integrating AI agents with enterprise systems using microservices architecture.
- Establish robust guardrails, including output validation, fallback strategies, rate limiting, safe tool invocation, and human-in-the-loop patterns where appropriate.
- Develop and maintain model evaluation frameworks, including automated prompt testing, retrieval validation, regression testing, and performance benchmarking.
- Deploy and operate AI services on AWS, leveraging services such as EC2, S3, Lambda, RDS, and containerization using Docker and Kubernetes.
- Apply strong security best practices, including access control, data protection, audit logging, and secure API design.
- Ensure strong observability, monitoring, and reliability of AI-driven services in production.
- We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara, CA office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.
WHAT YOU BRING
- 3–6 years of professional software engineering experience building backend or distributed systems.
- Strong proficiency in Python and developing RESTful APIs.
- Hands-on experience building LLM-based or Agentic AI applications, including RAG, embeddings, and vector database integrations.
- Practical experience in Prompt Engineering and understanding of LLM behavior, limitations, and optimization techniques.
- Experience deploying and operating applications in AWS cloud environments.
- Experience implementing AI guardrails, model validation techniques, and production monitoring.
- Solid understanding of cloud-native security practices and secure system design.
Preferred Qualifications
- Experience with multi-agent orchestration frameworks or AI tool integration patterns.
- Familiarity with vector databases such as Pinecone, Weaviate, OpenSearch, or similar.
- Experience with CI/CD pipelines and containerized deployments using Docker and Kubernetes.
- Exposure to enterprise platform integrations such as ServiceNow, Snowflake, or similar systems.
- Familiarity with observability tools such as Datadog, Prometheus, or similar platforms.
#LI-ONSITE
#LI-TH3
Salary ranges are determined based on role, level and location. For positions open to candidates in multiple geographical locations, the base salary range is reflective of the labor market across the applicable locations.
This role may be eligible for incentive pay and/or equity.
There is no application deadline and we accept applications on an ongoing basis until the job is filled.
WHAT YOU CAN EXPECT FROM US:
- Innovation: We celebrate those who think critically, like a challenge, and aspire to be trailblazers.
- Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology™, Fortune's Best Workplaces in the Bay Area™, and certified as a Great Place to Work®!
- Team: We build each other up and set aside ego for the greater good.
And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events. Check out purebenefits.com for more information.
ACCOMMODATIONS AND ACCESSIBILITY:
Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at TA-Ops@purestorage.com if you’re invited to an interview.
OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM:
We’re forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn’t just accepted but embraced. That’s why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership.
Everpure is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.
Join us and bring your best.
Bring your bold.
Pure and simple.
Ready to apply?
Apply to Everpure
Director of Product Management, Next Gen Ads
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About Moloco:
Moloco builds some of the most powerful AI advertising solutions in the world. Our name—short for "machine learning company"—reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy.
Built with AI from day one, Moloco’s planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media enables retailers and marketplaces to build revenue-generating ad businesses that balance user experience and advertiser performance.
Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin.
Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!
The Opportunity
The web is evolving beyond pages toward AI-powered, conversational, and agentic surfaces that change how users consume content and how publishers monetize it. Traditional ad placements and formats are no longer enough. Moloco is building the infrastructure to power next-generation monetization across these new environments bridging the open web, AI chat interfaces, and emerging content ecosystems.
We’re seeking a Director of Next Gen Publisher Monetization to lead this transformation. You’ll define how publishers capture value in the age of generative and conversational AI — designing monetization systems, formats, and signals that align with these new experiences.
The ideal candidate is a deep ad tech leader who has built or scaled publisher monetization platforms and is ready to pioneer the next frontier: monetizing AI-driven interactions in ways that are transparent, privacy-safe, and performance-optimized.
What You’ll Do
- Define the Future of Publisher Monetization: Build Moloco’s vision and roadmap for monetization on AI chat and next-generation web surfaces.
- Reimagine the Ad Experience: Design new ad and sponsorship formats tailored for conversational, contextual, and intent-rich environments.
- Lead Publisher Strategy: Partner with leading web publishers to transition from traditional display monetization to AI-native monetization models.
- Develop AI-Powered Yield Systems: Work with data science and engineering to build models that understand context, intent, and engagement optimizing monetization dynamically across AI-driven interactions.
- Advance Privacy and Trust: Define frameworks for privacy-safe signal use and explainable monetization in AI contexts.
- Shape the Industry Narrative: Represent Moloco in defining what open, independent monetization means in the era of AI-driven content and chat.
- Build and Lead Teams: Hire, mentor, and lead a team driving innovation at the intersection of ad tech, AI, and publisher economics.
What We’re Looking For
Minimum Qualifications
- 8+ years of experience in ad tech or publisher monetization product leadership.
- Proven experience building or leading publisher monetization platforms (SSPs, ad exchanges, or ad servers).
- Deep understanding of ad serving, auction dynamics, and programmatic ecosystems.
- Passion for emerging AI surfaces: chat, generative experiences, and intelligent content interfaces.
- Strong communication and strategic leadership skills across technical, commercial, and industry stakeholders.
Preferred Qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related technical field.
- Experience designing contextual and privacy-first monetization systems.
- ex-founder and experience building product from zero to 1
- Understanding of AI/LLM technologies, content generation, or recommendation systems.
- Familiarity with open web monetization challenges and the role of independent ad tech in an era of walled gardens and AI platforms.
Our Compensation And Benefits (for United States Residents Only)
In accordance with various state laws, the range provided is a reasonable estimate of the base compensation for this role. The actual amount may be higher or lower based on non-discriminatory factors such as experience, knowledge, skills, and abilities. We also offer a competitive benefits package.
Moloco Thrive: Benefits and Well-Being:
We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives.
Moloco Values:
- Lead with Humility: Everyone’s voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success.
- Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible.
- Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value.
- Go Further Together: We’re one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail.
Additional Resources:
AI Use in Interviews
Our interview process is designed to get to know the real you. Unless a round specifically includes AI as part of what's being assessed, we ask that candidates engage without AI assistance. Please review our AI Use in Interviews Policy before your interview to understand what to expect. Failure to comply with this policy may impact your candidacy.
Equal Opportunity:
Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to achieve our vision to become the scaling engine for the Internet economy.
Moloco is an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by law.
Candidate Privacy Notice:
Your privacy matters to us. By applying, you acknowledge that you’ve reviewed our Candidate Privacy Notice.
Ready to apply?
Apply to Moloco
Senior Full-Stack Software Engineer - Agentic Software - Moloco Commerce Media
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About Moloco:
Moloco builds some of the most powerful AI advertising solutions in the world. Our name—short for "machine learning company"—reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy.
Built with AI from day one, Moloco’s planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media enables retailers and marketplaces to build revenue-generating ad businesses that balance user experience and advertiser performance.
Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin.
Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!
The Impact You’ll Be Contributing to Moloco:
- We're seeking a software engineer to help us design, develop and maintain the backend of our state of the art Moloco Commerce Media (MCM) product
- You will be responsible for developing an ML-based online advertising platform for the rapidly growing retail media industry
- You will play a pivotal role building and developing our enterprise-ready solution. We’ve determined clear market fit and are now seeking senior and staff engineers to refine the MCM product
- You will lead feature development, design, optimization, testing, and maintenance of software applications and solutions for internal and external end users
- You will mentor others on the team and have the opportunity to lead high-impact projects
The Opportunity:
- Design and ship agentic software that helps advertisers manage campaigns through natural language interfaces and intelligent automation
- Build customer-facing applications that combine LLM capabilities with robust backend systems—from conversational campaign creation to AI-assisted performance insights
- Own the full stack: React/TypeScript frontends, Go/Python/Java services, and the infrastructure that connects them
- Collaborate closely with PM, data science, and partner teams to shape product direction and turn ambiguous goals into shipped features
- Operate what you build: dashboards, alerts, runbooks, and a sustainable on-call rotation
- Mentor engineers through code reviews, pairing, and design discussions
- Prototype and explore what's next—advanced analytics, creative-level reporting, and AI capabilities we haven't imagined yet
How Do I Know if the Role is Right For Me?
- 5+ years of software engineering experience
- Full-stack development experience—you're comfortable across the frontend, backend, and the glue in between
- Hands-on experience building LLM-based applications (agents, tool use, prompt engineering, or similar)
- System design and development skills; from gathering requirements to design to implementation to production
- Experience in Cloud/Big Data platforms (e.g., AWS, GCE, GCP, Beam, Spark, BigTable, BigQuery etc.)
- Programming fundamentals, testing, and common algorithms and structures
- Track record of shipping customer-facing products
- Growth mindset—you stay current on emerging technologies and enjoy sharing knowledge with others
- Excellent communication and collaboration skills
Compensation & Benefits
U.S.-based employees have access to medical, dental, and vision insurance, a 401(k) plan with company match, short-term and long-term disability coverage, basic life insurance, and well-being benefits and perks. U.S.-based employees also receive up to 12 scheduled paid holidays per calendar year and one Thrive Day off per quarter. Additionally, all employees have Flexible Time Off (FTO).
The successful candidate may be eligible for a bonus and equity awards. Eligibility and amounts are determined by performance and the terms of the applicable plans.
The location for this role is listed above. For base pay range purposes, location-based compensation is grouped into the following regions. Your region is determined by your assigned work location.
- Region A: Menlo Park Office, New York Office, SF Bay Area, New York Metro Area
- Region B: Seattle Office, Seattle, Los Angeles/Orange County, San Diego, Austin, Boston, Washington DC Metro Area, Miami
- Region C: All other U.S. locations
Salary Ranges:
Moloco Thrive: Benefits and Well-Being:
We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives.
Moloco Values:
- Lead with Humility: Everyone’s voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success.
- Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible.
- Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value.
- Go Further Together: We’re one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail.
Additional Resources:
AI Use in Interviews
Our interview process is designed to get to know the real you. Unless a round specifically includes AI as part of what's being assessed, we ask that candidates engage without AI assistance. Please review our AI Use in Interviews Policy before your interview to understand what to expect. Failure to comply with this policy may impact your candidacy.
Equal Opportunity:
Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to achieve our vision to become the scaling engine for the Internet economy.
Moloco is an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by law.
Candidate Privacy Notice:
Your privacy matters to us. By applying, you acknowledge that you’ve reviewed our Candidate Privacy Notice.
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Staff Software Engineer - Data Platform
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Company Overview
ID.me is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with ID.me once and seamlessly login across websites without having to create a new login and verify their identity again. Over 152 million users experience streamlined login and identity verification with ID.me at 20 federal agencies, 45 state government agencies, and 70+ healthcare organizations. More than 600+ consumer brands use ID.me to verify communities and user segments to honor service and build more authentic relationships. ID.me’s technology meets the federal standards for consumer authentication set by the Commerce Department and is approved as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative. ID.me is committed to “No Identity Left Behind” to enable all people to have a secure digital identity. To learn more, visit https://network.id.me/.
Company Overview
ID.me is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with ID.me once and seamlessly log in across websites without needing to create a new login and re-verify. Over 140 million users experience streamlined login and identity verification with ID.me at 20 federal agencies, 44 state government agencies, and 66 healthcare organizations. More than 600 consumer brands use ID.me to verify communities and user segments to honor service and build more authentic relationships. ID.me’s technology meets the federal standards for consumer authentication set by the Commerce Department and is approved as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative. ID.me is committed to “No Identity Left Behind” to enable all people to have a secure digital identity. To learn more, visit https://network.id.me.
Role Overview
ID.me is seeking a Staff Data Engineer (SDE-V) to lead the design, build, and operation of the core data infrastructure that underpins our identity platform. This engineer will be responsible for ensuring the reliability, scalability, and performance of the systems that move, process, and store data across the company.
In this role, you’ll own and operate key data infrastructure components — including event streaming platforms, relational databases, and batch processing systems — while driving automation and engineering best practices that improve data platform reliability and developer efficiency. You’ll partner closely with Platform Engineering, Site Reliability Engineering, and Compliance teams to ensure ID.me’s data ecosystem meets demanding operational, security, and regulatory requirements.
This is a hands-on technical leadership role for a data infrastructure engineer who thrives at the intersection of distributed systems, platform engineering, and data operations.
This role is based out of our Mountain View, CA or McLean, VA offices and requires full-time in-office attendance.
Responsibilities
- Own and operate core data infrastructure, including event streaming, relational database, and batch processing platforms.
- Design and implement highly reliable, observable, and scalable data systems that enable real-time and batch data processing.
- Develop automation and guardrails for data governance, retention, and compliance, ensuring auditability and consistency across services.
- Partner with application, platform, and SRE teams to improve data access patterns, reliability SLAs, and recovery processes.
- Establish standards for data infrastructure monitoring, alerting, and capacity planning, ensuring proactive issue detection.
- Drive operational excellence by improving resilience, reducing toil, and implementing self-healing or automated recovery mechanisms.
- Evolve and optimize data pipelines that support downstream analytics, identity verification, and machine learning systems.
- Evaluate, implement, and operate event-driven and batch data platforms such as Kafka, Google Pub/Sub, Dataflow, or Temporal.
- Lead incident response and root cause analysis for production data systems, contributing to postmortems and platform improvements.
- Mentor engineers and advocate for reliability-focused engineering culture across teams.
- Data lake architecture — Design and build the data lake storage and compute topology (object storage, partitioning, lifecycle, tiering) to support batch and streaming workloads.
Minimum Qualifications
- Bachelor’s or Graduate degree in Computer Science, Software Engineering, or a related technical field.
- 8+ years of professional experience in data engineering, software engineering, or distributed systems development.
- 6+ years of programming experience in one or more languages such as Go, Python, or Java, with emphasis on automation and data system integration.
Preferred Qualifications
- Deep expertise in building and operating data systems—including relational databases, streaming, and batch platforms—in production environments.
- Hands-on experience administering and optimizing PostgreSQL or other relational databases in the cloud (AWS RDS, CloudSQL, or AlloyDB).
- Solid understanding of reliability engineering principles, including observability, SLOs, capacity management, and operational readiness.
- Experience managing cloud infrastructure (AWS or GCP) using infrastructure-as-code tools like Terraform, Kubernetes, or Helm.
- Experience operating event streaming platforms such as Kafka or Google Pub/Sub.
- Experience with batch and stream processing systems, including Dataflow, Temporal, or Airflow.
- Strong knowledge of data pipeline orchestration, change data capture, and schema management.
- Background in automation, incident response, and data platform observability.
- Familiarity with data governance and regulatory compliance frameworks (e.g., FedRAMP, GDPR, NIST).
- Contributions to open-source data infrastructure projects or strong community engagement in the data reliability space.
- Passion for performance engineering, system design, and mentoring others to deliver operational excellence at scale.
- AI-assisted development — Demonstrable experience using AI developer tools (e.g., code generation, test generation, query synthesis) to accelerate platform automation while validating outputs through code review and tests.
- Data-aware LLM usage — Ability to safely use large language models for tasks such as SQL generation, data lineage summarization, and runbook drafting while ensuring no sensitive data is exposed to external models and all prompts and outputs are logged for audit.
The annual base salary listed does not include a company bonus, incentive for sales roles, equity and benefits which will be determined based on experience, skills, education, relevant training, geographic location and role.
ID.me offers comprehensive medical, dental, vision, health savings account, flexible spending accounts (medical, limited purpose, dependent care, commuter benefit accounts), basic and voluntary life and AD&D insurance, 401(k) with company match, parental leave, ability to participate in unlimited paid time off subject to the terms and conditions of the PTO policy, including 8 company wide holidays, short and long-term disability insurance, accident and critical illness insurance, referral bonus policy, employee assistance program, pet insurance, travel assistant program, wellbeing and childcare discounts, benefit advocates, and a learning and development benefit.
The above represents the anticipated total rewards package for this job requisition. Final offers may vary from the amount listed based on qualifications, professional experiences, skills, education, relevant training, geographic location, and other job related factors.
ID.me is a full-time, in-office culture. Unless a specific job description explicitly states otherwise, all roles are on-site five days per week at one of our offices in McLean, VA; Mountain View, CA; New York City, NY; or Tampa, FL. Certain roles — such as field-based sales or other remote-by-design positions — may have different work arrangements as noted in their individual postings.
ID.me maintains a work environment free from discrimination, where employees are treated with dignity and respect. All ID.me employees share in the responsibility for fulfilling our commitment to equal employment opportunity. ID.me does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. ID.me adheres to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, ID.me's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request we will provide you with more information about such accommodations.
Please review our Privacy Policy, including our CCPA policy, at id.me/privacy. If you provide ID.me with any personally identifiable information you confirm that you have read and agree to be bound by the terms and conditions set out in our Privacy Policy.
ID.me participates in E-Verify.
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Company
Founded in 2018 by CPAs, tax attorneys, and software developers, Taxbit is creating an entirely new category to enable widespread compliant adoption of digital assets for the global economy. Taxbit’s Software-as-a-Service (SaaS) platform streamlines and automates customers’ tax reporting and accounting activities for digital assets.
Trusted by leading crypto, tech, and traditional enterprises, Big 4 accounting firms, and government agencies (including the IRS), Taxbit solves compliance challenges at scale amidst an ever-evolving regulatory landscape. Taxbit is backed by leading Silicon Valley VCs with teams located in New York City, San Francisco, Seattle, Salt Lake City, and Europe.
Opportunity for Impact
Content is a critical growth lever at Taxbit. As a Content Marketing Manager, you will shape how the market understands who we are, the problems we solve, and why we win. Reporting to the Head of Content, Brand & Design, you will own the strategy and execution of high-impact content that builds credibility with enterprise buyers, drives qualified pipeline, and reinforces Taxbit’s position as the category leader in global tax information reporting for the digital economy. You will have a front row seat to the evolution of the global financial system as it becomes increasingly digital, translating complex regulatory and technical concepts into clear, compelling narratives that resonate with both executives and practitioners.
Key Responsibilities
- Optimize Taxbit’s content and brand credibility by producing compelling, search and LLM optimized content for our blogs, website, landing pages, social media channels, webinars, online profiles etc..
- Lead our interest driving content by collaborating with Taxbit SME’s, product marketing, design, sales, customers and industry experts
- Bring our social media engagement strategy to the next level by arming our executives and high profile internal SMEs with authentic content and stories that support our strategic narrative
- Monitor, track and document content performance and analyze performance to determine the impact on lead generation and revenue
- Produce content that attracts quality traffic to our blog and web pages including target prospects, partners, ecosystem influencers and customers
- Work hand in hand with our performance marketing and marketing operations team to measure the efficacy of our content program in increasing SEO and GEO rankings and web traffic
Required Qualifications
- 5+ years in a content role at a high growth enterprise SaaS company
- Portfolio showcasing B2B content (samples required)
- Excellent written and verbal communication skills
- Experience working with highly technical content and subject matter experts to create brand content that sings
- Demonstrated success growing traffic and driving revenue through content marketing
- Hands on experience with website strategy & management, SEO & AEO, Social Media platforms (namely LinkedIn)
- Ability to think creatively and share brilliant ideas of how to make content of all types interesting and beautiful
- Impeccable organization and project management skills with the ability to work on multiple projects with many stakeholders
- Experience partnering with revenue and GTM leadership
- Self-directed, with the ability to prioritize and deliver in a high-growth environment
- Experience in fintech, compliance, or similarly complex and regulated industries strongly preferred
The base salary range for this role is $105,000-$145,000. Certain roles may be eligible for incentive compensation, equity, and benefits. Actual compensation will vary depending on various job-related factors, including, but not limited to location, experience, level, and job qualifications.
Taxbit in the News
Corp Press
Forbes America's Best Startup Employers
Deloitte Top 10 Fast 500 Award
Forbes FinTech 50
Recent Product Announcements
Taxbit Announces AI Enabled Rules Engine for Crypto Accounting
Taxbit Launches DAC7 Compliance Solution for Digital Marketplaces
Taxbit Introduces The First Enterprise-Grade Legal Entity Support Solution for Digital Assets
Taxbit Launches Innovative CESOP Reporting Solution for Digital Assets
TB Thought-Leadership Pieces
Fortune - Future of Finance
NASDAQ - How Regulation and Technology Are Bridging the Gap Between Tradfi and Crypto
Future of Finance Roundtable Event (Video)
Coindesk - The Tax Implications of Sam Bankman-Fried’s Conviction
Fox Business - AI tools streamlining accounting workflows and opening capacity for innovation
Bloomberg Tax - Is Anyone Paying State Taxes on Bitcoin and NFTs? (Podcast)
Alliance/ Partner Announcements
IRS Taps TaxBit to Audit Bulk Crypto Transactions
Disclaimers
- By submitting an application for this role, you certify that the information contained in the application is correct to the best of your knowledge. You understand that to falsify information is grounds for refusing to hire you, or for discharge should you be hired.
- Employment with the Company is at will unless otherwise stated in a written agreement signed by the CEO of the Company. This means that either the Company or the employee can terminate the employment at any time and for any reason, with or without notice.
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Senior GenAI Research Engineer - Optimization and Kernels
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At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform so our customers can focus on the high-value challenges that are central to their own missions.
The Mosaic AI organization enables companies to develop AI models and systems using their own data, with technologies ranging from pre-training LLMs from scratch to augmented generation using the latest retrieval techniques. Mosaic AI does so by producing novel science and putting it into production. Mosaic AI is committed to the belief that a company’s AI models are just as valuable as any other core IP, and that high-quality AI models should be available to all.
Job Description
As a research engineer on the Scaling team, you will be responsible for keeping up with the latest developments in deep learning and advancing the scientific frontier by creating new techniques that go beyond the state of the art. You will work together on a collaborative team of researchers and engineers with diverse backgrounds and technical training. And most importantly, you will love our customers: our goal is to make our customers successful in applying state-of-the-art LLMs and AI systems, and we encode our scientific expertise into our products to make that possible.
The Impact you will have
As a research engineer on the Scaling Team at Databricks, you will:
- Drive performance improvements through advanced optimization techniques including kernel fusion, mixed precision, memory layout optimization, tiling strategies, and tensorization for training-specific patterns
- Design, implement, and optimize high-performance GPU kernels for training workloads (e.g., attention mechanisms, custom layers, gradient computation, activation functions) targeting NVIDIA architectures
- Design and implement distributed training frameworks for large language models, including parallelism strategies (data, tensor, pipeline, ZeRO-based) and optimized communication patterns for gradient synchronization and collective operations
- Profile, debug, and optimize end-to-end training workflows to identify and resolve performance bottlenecks, applying memory optimization techniques like activation checkpointing, gradient sharding, and mixed precision training.
What We Look for
- BS/MS/PhD in Computer Science or related field with hands-on experience writing and tuning CUDA kernels for ML training applications, or hands-on experience in distributed training frameworks (PyTorch DDP, DeepSpeed, Megatron-LM, FSDP)
- Strong understanding of NVIDIA GPU architecture (memory hierarchy, tensor cores, warp scheduling, SM occupancy) and proficiency with CUDA debugging/profiling tools (Nsight, NVProf)
- Deep understanding of parallelism techniques and memory optimization strategies for large-scale model training, with proven ability to debug and optimize distributed workloads
- Strong software engineering skills in Python and PyTorch, with experience supporting production training workflows and knowledge of LLM training dynamics including hyperparameter tuning and optimization strategies.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
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Secure Every Identity, from AI to Human
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
The Global Pricing Operations Team
The Pricing Operations team works in a cross-functional, fast-paced, and dynamic environment with many moving pieces and shifting priorities. The team partners with Pricing Strategy Managers, Product Managers,Technology, Data & Intelligence, and various GTM teams to ensure that Okta's business is ready to operate with the launch of new product pricing and pricing strategies.
The Pricing Operations Manager Opportunity
Okta is seeking a Pricing Operations Manager to drive initiatives that transform Okta's pricing strategy into successful go-to-market execution. A successful person in this role will be a strong collaborator, intensely curious, and supremely organized. They are known for connecting the dots, simplifying complexities, communicating clearly and proactively, and driving highly collaborative efforts to completion, even when the path forward isn't perfectly defined.
For pricing launches, you will be the point person to evaluate the operational impact of pricing initiatives across several Okta teams and partner with those teams to build and execute an operational launch readiness plan. You will work closely with our Technology, Data & Intelligence leads for Salesforce and CPQ to prepare and maintain Okta's SKU catalog and support the creation and maintenance of pricing enablement materials for Sales and GTM teams.
As Okta rapidly launches new innovations and expands into new markets, this role is critical to our success.
What you’ll be doing
- Drive cross-functional initiatives to transform pricing strategy into successful go-to-market execution
- Collaborate closely with several functions across the company — including Pricing Strategy, Product, Product Marketing, Legal, Finance, GTM, and Technology, Data & Intelligence — to evaluate the operational impact of pricing initiatives, develop operational readiness plans, and execute launches
- Navigate ambiguity and fast-moving strategy decisions with confidence, helping the team align quickly and move forward effectively
- Continuously assess and re-prioritize workstreams as business needs evolve, maintaining clarity and momentum across multiple concurrent initiatives
- Drive strategic projects to optimize and automate pricing processes, standards, and engagement frameworks
- Develop business requirements for Technology, Data & Intelligence to build new SKUs in Okta's business systems to support quoting, invoicing, revenue recognition, reporting, and improved transaction processes for Okta's sales teams
- Proactively synthesize and communicate status updates, risks, and blockers to leaders and cross-functional stakeholders for pricing launches — not just when asked, but as a consistent habit
- Gather GTM team feedback on the quality and effectiveness of pricing enablement and training content; develop new and optimize existing pricing enablement and training content for the sales team
- Serve as SME on pricing, product configuration, and go-to-market processes
- Actively contribute to team culture by seeking and incorporating feedback, sharing learnings, and helping raise the bar for how the Pricing Operations function operates
What you'll bring to the role
- Bachelor's degree in Computer Science, Finance, Marketing, Business, or equivalent experience
- Minimum of 8 years of experience in a business operations or program management role, ideally at a SaaS or enterprise software company; preferably 2+ years in a pricing operations role
- Demonstrated ability to thrive in a fast-paced, high-pressure environment where priorities shift and decisions need to be made quickly with incomplete information
- A track record of strong, proactive communication: keeping stakeholders informed, surfacing issues early, and driving alignment across teams with transparency and clarity
- A learner mentality with an owner mindset: someone who actively seeks feedback, iterates on their approach, and views challenges as opportunities for growth
- Action-oriented with a strong bias toward outcomes: able to solve problems and deliver results in short timeframes
- Demonstrated leadership experience driving complex, cross-functional execution, with a collaborative approach that builds trust across teams and levels
- Exceptional verbal and written communication skills across all levels of an organization
- Proficiency with Salesforce and CPQ, with direct experience supporting or executing system builds (including creating and managing quotable SKUs, custom fields, validation rules, and alert rules to support the quote to cash process), as well as working proficiency across Jira, Google Workspace, and AI/LLM tools to drive operational efficiency and support day-to-day execution.
- Experience working within or closely alongside sales-adjacent teams such as Deal Desk, Deal Strategy, GTM Strategy & Operations, or similar functions, with a solid understanding of how sales teams operate, what they need to close deals, and how pricing and operational decisions affect their work.
What Will Make You Stand Out
- Experience operating in a high-growth or rapidly evolving company environment where structure and process are still being built
- A history of building strong cross-functional relationships and earning trust as a reliable, communicative partner, even when delivering difficult updates
- Comfort with ambiguity and change, paired with the discipline to bring order and clarity to complex situations
- Evidence of continuous improvement mindset: you regularly reflect on what's working, ask for feedback, and find ways to do things better
This role demands both strategic thinking and operational excellence, and the resilience and adaptability to succeed when both are needed at the same time. If you do your best work in a collaborative, fast-moving environment and take pride in being the person who keeps things moving forward, we'd love to hear from you.
What you can look forward to as an Okta employee!
- Amazing Benefits
- Making Social Impact
- Fostering Diversity, Equity, Inclusion and Belonging at Okta
Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/.
Okta is an Equal Opportunity Employer/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to participate in the job application or interview process, please use this Form to request an accommodation.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at https://www.okta.com/privacy-policy/.
ir needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/.
Okta is an Equal Opportunity Employer/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to participate in the job application or interview process, please use this Form to request an accommodation.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at https://www.okta.com/privacy-policy/.
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P22030_3425948
Below is the annual base salary range for candidates located in San Francisco Bay Area. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us.
The Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.
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