Equity Research Jobs in Seattle.
All active Equity Research roles based in Seattle.
Pick a job to read the details
Tap any role on the left — its description and apply link will open here.
Applied AI Architect, Security
Share this job
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role:
As an Applied AI Security Architect, you will serve as Anthropic's trusted security expert for our most demanding enterprise customers. You'll engage directly with CISOs, security architects, compliance officers, and technical leaders at the world's largest financial institutions, insurance companies, and other highly regulated enterprises to address their most critical questions about deploying Claude safely and securely.
This is a pre-sales technical role focused on security, compliance, networking, and data architecture. Your job is to walk into a room full of security professionals and demonstrate deep expertise in enterprise security, regulatory compliance, and data protection. You'll help customers understand Claude's security architecture, data handling practices, and deployment options, and partner with them to design solutions that meet their specific regulatory and organizational requirements.
You'll bring significant experience in enterprise security, cloud architecture, and technical pre-sales within regulated industries. Whether you've been a Security Architect, Solutions Architect, Field CTO, or senior pre-sales engineer at a cloud or security vendor, what matters is that you understand how large institutions evaluate and adopt technology, especially in financial services, and can speak credibly to their security and compliance concerns.
We are looking for someone excited to help define how enterprises should think about security and compliance in the age of AI. How do MCP, autonomous agents, and RBAC work together? If working at the intersection of AI adoption and regulated industries excites you, this is the role for you.
Responsibilities:
- Serve as the primary security and compliance expert during customer engagements, addressing technical questions about Claude's architecture, data flows, encryption, access controls, and deployment models.
- Partner with CISOs, security architects, and compliance teams at financial services and insurance companies to understand their security requirements and design solutions that meet regulatory standards (SOC 2, SOX, PCI-DSS, GDPR, state insurance regulations, etc.).
- Lead technical deep-dives on network architecture, data residency, API security, authentication/authorization, audit logging, and integration patterns for regulated environments.
- Support enterprise security reviews, vendor assessments, and due diligence processes by providing detailed technical documentation and expert guidance.
- Collaborate with Sales and Applied AI teams before and after customer engagements to align on strategy, prepare for security discussions, and ensure continuity from initial conversations through deployment.
- Partner closely with Anthropic’s product and engineering teams to deeply understand Claude's security capabilities, provide real-time customer feedback on feature gaps and priorities, help assess technical feasibility of customer-specific security requirements, and influence roadmap priorities.
- Develop and maintain security-focused collateral, reference architectures, and best practices documentation for regulated industries.
- Travel regularly to customer sites for security workshops, architecture reviews, and strategic account meetings.
You may be a good fit if you have:
- 8+ years of experience in enterprise security, cloud architecture, or technical pre-sales, with significant exposure to regulated industries (financial services, insurance, healthcare).
- Deep technical knowledge of enterprise security concepts: network security, identity and access management, encryption (at rest and in transit), API security, and audit/logging requirements.
- Experience navigating compliance frameworks relevant to financial services and insurance (SOC 2, SOX, PCI-DSS, GDPR, CCPA, state insurance regulations, banking regulators' guidance on AI/ML).
- A track record of engaging with CISOs, security teams, and compliance officers at large enterprises.
- Strong understanding of cloud architecture and deployment models (AWS, Azure, GCP), including VPCs, private endpoints, and hybrid connectivity.
- Excellent communication skills, including the ability to explain complex security topics clearly to both technical and non-technical audiences.
- The ability to navigate ambiguity and move fast in a rapidly evolving market.
- A collaborative mindset: sales at Anthropic is a team sport.
- Excitement about AI's potential to transform highly regulated industries, and a genuine desire to help customers adopt it safely and responsibly.
Deadline to apply: None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process
Ready to apply?
Apply to Anthropic
Technical Program Manager, Discovery
Share this job
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Team
The Discovery team is organized around the north star of building an AI scientist — a system capable of solving the long-horizon reasoning challenges and core capabilities needed to push the scientific frontier. The team trains large-scale models, runs complex multi-week experiments, and builds novel products at the intersection of AI and science.
About the Role
As a Technical Program Manager on the Discovery team, you will own the systems and programs that determine how fast our research moves: compute planning, scientific RL environment health, and the vendor pipelines that supply them, with scope to incubate new programs in domains like bio R&D. Strong candidates should have an ML engineering or research background and have grown into program leadership. You'll need real technical depth: the ability to debug data pipelines, read RL transcripts to spot issues, and make allocation and quality decisions in real time when experimental or production runs hit problems. You'll need organizational effectiveness in equal measure: the ability to navigate a fast-growing organization, quickly identify the critical people and teams across research, infrastructure, product, and data operations, and coordinate across them without losing velocity.
Join us in our mission to build AI systems that push the frontiers of science and benefit humanity.
Responsibilities
- Manage Discovery's compute planning across supervised learning (SL), reinforcement learning (RL), and sandboxing workloads, including forecasting, allocation, prioritization, and efficiency improvements. Partner with central compute planning to ensure Discovery's needs are represented and met.
- Monitor the health of scientific RL environments (quality, reward integrity, failure rates) and drive issues to resolution.
- Expedite the external vendor pipeline for RL environments, including quality review, reward design, and production integration.
- Work with research teams across life sciences, STEM, and other scientific domains to translate research goals into roadmaps that advance AI scientist capabilities.
- Establish processes and frameworks that bring structure to an unstructured research setting without slowing researchers down.
- Collaborate with research leads, infrastructure engineers, and data operations to identify blockers, prioritize competing needs, and make technical trade-off decisions.
You May Be a Good Fit If You:
- Have a background in ML engineering, ML research, or STEM R&D before transitioning to technical program management
- Have deep, hands-on experience with ML training pipelines, RLHF systems, and large-scale data infrastructure in production.
- Have a track record of building execution plans and inventing high-leverage processes that reduce operational overhead and let researchers focus on research.
- Are a fast learner who builds deep contextual understanding in unfamiliar technical domains and can contribute meaningfully to discussions with researchers.
- Are resourceful, high-agency, and able to navigate ambiguity and shifting priorities to drive progress in a fast-moving research setting
- Have excellent stakeholder management and communication skills, with the ability to influence senior technical staff through clarity, competence, and consistent delivery.
- Are excited about the potential for AI to accelerate scientific discovery
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process
Ready to apply?
Apply to Anthropic
Sr. Partnerships Manager
Share this job
At PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We’re deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company.
Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there’s going to be some ambiguity along the way, but we excel when we challenge ourselves. We’re willing to take risks, fail fast, and do it all over again in the pursuit of excellence.
If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you.
About the Role:
Strategic Partnerships support PitchBook's strategic priorities through establishing third party relationships and delivering revenue, exposure, improved market penetration, and/or content to PitchBook. The team works closely with PitchBook’s Segments & Solutions, Direct Data, Product, Data Operations, Commercial, Marketing, Research, RevOps, Legal, and Finance teams to execute on partnership opportunities to maximize the growth of the PitchBook business.
Partnerships are designed to extend PitchBook’s reach, establish relationships to improve the workflows of our clients, enrich PitchBook’s original data and research with differentiated content, and identify strategic investment opportunities. The Senior Partnerships Manager is responsible for the lifecycle of partnership management including the day-to-day management of a portfolio of existing partnerships which may include key channel partners, proactive outreach to prospective partners, and evaluating inbound partnership opportunities. This role works closely with Strategic Partnerships leadership to contribute to strategic objectives as they relate to partnership opportunities and with stakeholders across all other departments to define market landscape, assess competitive position, and identify potential partners. This role requires someone with a proactive approach to relationship management, ability to weigh partner interests against PitchBook's strategy, and an expertise in building relationships externally and internally within a cross-functional team environment.
Primary Job Responsibilities:
- Lead partner sourcing efforts by identifying and evaluating new data, research, and capability providers aligned with business needs
- Manage ongoing relationships with key partners, ensuring service quality and contract compliance, and proactively identify new potential partnership expansion opportunities
- Oversee contract negotiations, renewals, and amendments in collaboration with Legal and Finance
- Monitor partner performance and usage metrics to inform renewal decisions and identify optimization opportunities
- Suggest partnership marketing programs to expand key partnership opportunities and collaborate with Marketing and GTM teams to support partner-related campaigns and communications
- Maintain a robust pipeline of potential partners and track industry trends to inform partner strategy
- Coordinate quarterly payment cycles and budget tracking for partner contracts
- Provide input into partner-related budgeting and forecasting processes
- Support the vision and values of the company through role modeling and encouraging desired behaviors
- Participate in various company initiatives and projects as requested
Skills and Qualifications:
- Bachelor’s degree preferred
- 7+ years of account management and/or business development experience
- 7+ years of experience working with financial services clients; experience with Investment Banking, Private Equity, Venture Capital, and Limited Partner clients a benefit
- Domain expertise in at least one of PitchBook’s core capabilities (e.g. Funds & Benchmarking, Credit, Equity Research, etc.)
- Prior experience with partnership/alliance licensing and go to market structures strongly preferred
- Exceptional customer-facing skills and experience with key account relationships required
- Ability to gather and distill information from disparate sources to form strategic recommendations
- Excellent verbal and written communication skills with a keen eye for detail
- Superior cross-team collaboration skills with a proven ability to coordinate with stakeholders across multiple teams and operate in a matrixed environment
- Proficiency with the Microsoft Office suite (including Copilot) and the ability to pick up new systems and software easily
- Must be authorized to work in the United States without the need for visa sponsorship now or in the future
Benefits + Compensation at PitchBook:
Physical Health
- Comprehensive health benefits
- Additional medical wellness incentives
- STD, LTD, AD&D, and life insurance
Emotional Health
- Paid sabbatical program after four years
- Paid family and paternity leave
- Annual educational stipend
- Ability to apply for tuition reimbursement
- CFA exam stipend
- Robust training programs on industry and soft skills
- Employee assistance program
- Generous allotment of vacation days, sick days, and volunteer days
Social Health
- Matching gifts program
- Employee resource groups
- Subsidized emergency childcare
- Dependent Care FSA
- Company-wide events
- Employee referral bonus program
- Quarterly team building events
Financial Health
- 401k match
- Shared ownership employee stock program
- Monthly transportation stipend
*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.
Compensation
- Annual base salary: $140,000-$170,000
- Target annual bonus percentage: 10%
Working Conditions:
At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week.
The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.
We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.
#LI-MS1
#LI-Onsite
Ready to apply?
Apply to PitchBook Data
Sr. Partnerships Manager
Share this job
At PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We’re deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company.
Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there’s going to be some ambiguity along the way, but we excel when we challenge ourselves. We’re willing to take risks, fail fast, and do it all over again in the pursuit of excellence.
If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you.
About the Role:
Strategic Partnerships support PitchBook's strategic priorities through establishing third party relationships and delivering revenue, exposure, improved market penetration, and/or content to PitchBook. The team works closely with PitchBook’s Segments & Solutions, Direct Data, Product, Data Operations, Commercial, Marketing, Research, RevOps, Legal, and Finance teams to execute on partnership opportunities to maximize the growth of the PitchBook business.
Partnerships are designed to extend PitchBook’s reach, establish relationships to improve the workflows of our clients, enrich PitchBook’s original data and research with differentiated content, and identify strategic investment opportunities. The Senior Partnerships Manager is responsible for the lifecycle of partnership management including the day-to-day management of a portfolio of existing partnerships which may include key channel partners, proactive outreach to prospective partners, and evaluating inbound partnership opportunities. This role works closely with Strategic Partnerships leadership to contribute to strategic objectives as they relate to partnership opportunities and with stakeholders across all other departments to define market landscape, assess competitive position, and identify potential partners. This role requires someone with a proactive approach to relationship management, ability to weigh partner interests against PitchBook's strategy, and an expertise in building relationships externally and internally within a cross-functional team environment.
Primary Job Responsibilities:
- Lead partner sourcing efforts by identifying and evaluating new data, research, and capability providers aligned with business needs
- Manage ongoing relationships with key partners, ensuring service quality and contract compliance, and proactively identify new potential partnership expansion opportunities
- Oversee contract negotiations, renewals, and amendments in collaboration with Legal and Finance
- Monitor partner performance and usage metrics to inform renewal decisions and identify optimization opportunities
- Suggest partnership marketing programs to expand key partnership opportunities and collaborate with Marketing and GTM teams to support partner-related campaigns and communications
- Maintain a robust pipeline of potential partners and track industry trends to inform partner strategy
- Coordinate quarterly payment cycles and budget tracking for partner contracts
- Provide input into partner-related budgeting and forecasting processes
- Support the vision and values of the company through role modeling and encouraging desired behaviors
- Participate in various company initiatives and projects as requested
Skills and Qualifications:
- Bachelor’s degree preferred
- 7+ years of account management and/or business development experience
- 7+ years of experience working with financial services clients; experience with Investment Banking, Private Equity, Venture Capital, and Limited Partner clients a benefit
- Domain expertise in at least one of PitchBook’s core capabilities (e.g. Funds & Benchmarking, Credit, Equity Research, etc.)
- Prior experience with partnership/alliance licensing and go to market structures strongly preferred
- Exceptional customer-facing skills and experience with key account relationships required
- Ability to gather and distill information from disparate sources to form strategic recommendations
- Excellent verbal and written communication skills with a keen eye for detail
- Superior cross-team collaboration skills with a proven ability to coordinate with stakeholders across multiple teams and operate in a matrixed environment
- Proficiency with the Microsoft Office suite (including Copilot) and the ability to pick up new systems and software easily
- Must be authorized to work in the United States without the need for visa sponsorship now or in the future
Benefits + Compensation at PitchBook:
Physical Health
- Comprehensive health benefits
- Additional medical wellness incentives
- STD, LTD, AD&D, and life insurance
Emotional Health
- Paid sabbatical program after four years
- Paid family and paternity leave
- Annual educational stipend
- Ability to apply for tuition reimbursement
- CFA exam stipend
- Robust training programs on industry and soft skills
- Employee assistance program
- Generous allotment of vacation days, sick days, and volunteer days
Social Health
- Matching gifts program
- Employee resource groups
- Subsidized emergency childcare
- Dependent Care FSA
- Company-wide events
- Employee referral bonus program
- Quarterly team building events
Financial Health
- 401k match
- Shared ownership employee stock program
- Monthly transportation stipend
*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.
Compensation
- Annual base salary: $140,000-$170,000
- Target annual bonus percentage: 10%
Working Conditions:
At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week.
The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.
We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.
#LI-MS1
#LI-Onsite
Ready to apply?
Apply to PitchBook Data
Sr. Partnerships Manager
Share this job
At PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We’re deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company.
Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there’s going to be some ambiguity along the way, but we excel when we challenge ourselves. We’re willing to take risks, fail fast, and do it all over again in the pursuit of excellence.
If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you.
About the Role:
Strategic Partnerships support PitchBook's strategic priorities through establishing third party relationships and delivering revenue, exposure, improved market penetration, and/or content to PitchBook. The team works closely with PitchBook’s Segments & Solutions, Direct Data, Product, Data Operations, Commercial, Marketing, Research, RevOps, Legal, and Finance teams to execute on partnership opportunities to maximize the growth of the PitchBook business.
Partnerships are designed to extend PitchBook’s reach, establish relationships to improve the workflows of our clients, enrich PitchBook’s original data and research with differentiated content, and identify strategic investment opportunities. The Senior Partnerships Manager is responsible for the lifecycle of partnership management including the day-to-day management of a portfolio of existing partnerships which may include key channel partners, proactive outreach to prospective partners, and evaluating inbound partnership opportunities. This role works closely with Strategic Partnerships leadership to contribute to strategic objectives as they relate to partnership opportunities and with stakeholders across all other departments to define market landscape, assess competitive position, and identify potential partners. This role requires someone with a proactive approach to relationship management, ability to weigh partner interests against PitchBook's strategy, and an expertise in building relationships externally and internally within a cross-functional team environment.
Primary Job Responsibilities:
- Lead partner sourcing efforts by identifying and evaluating new data, research, and capability providers aligned with business needs
- Manage ongoing relationships with key partners, ensuring service quality and contract compliance, and proactively identify new potential partnership expansion opportunities
- Oversee contract negotiations, renewals, and amendments in collaboration with Legal and Finance
- Monitor partner performance and usage metrics to inform renewal decisions and identify optimization opportunities
- Suggest partnership marketing programs to expand key partnership opportunities and collaborate with Marketing and GTM teams to support partner-related campaigns and communications
- Maintain a robust pipeline of potential partners and track industry trends to inform partner strategy
- Coordinate quarterly payment cycles and budget tracking for partner contracts
- Provide input into partner-related budgeting and forecasting processes
- Support the vision and values of the company through role modeling and encouraging desired behaviors
- Participate in various company initiatives and projects as requested
Skills and Qualifications:
- Bachelor’s degree preferred
- 7+ years of account management and/or business development experience
- 7+ years of experience working with financial services clients; experience with Investment Banking, Private Equity, Venture Capital, and Limited Partner clients a benefit
- Domain expertise in at least one of PitchBook’s core capabilities (e.g. Funds & Benchmarking, Credit, Equity Research, etc.)
- Prior experience with partnership/alliance licensing and go to market structures strongly preferred
- Exceptional customer-facing skills and experience with key account relationships required
- Ability to gather and distill information from disparate sources to form strategic recommendations
- Excellent verbal and written communication skills with a keen eye for detail
- Superior cross-team collaboration skills with a proven ability to coordinate with stakeholders across multiple teams and operate in a matrixed environment
- Proficiency with the Microsoft Office suite (including Copilot) and the ability to pick up new systems and software easily
- Must be authorized to work in the United States without the need for visa sponsorship now or in the future
Benefits + Compensation at PitchBook:
Physical Health
- Comprehensive health benefits
- Additional medical wellness incentives
- STD, LTD, AD&D, and life insurance
Emotional Health
- Paid sabbatical program after four years
- Paid family and paternity leave
- Annual educational stipend
- Ability to apply for tuition reimbursement
- CFA exam stipend
- Robust training programs on industry and soft skills
- Employee assistance program
- Generous allotment of vacation days, sick days, and volunteer days
Social Health
- Matching gifts program
- Employee resource groups
- Subsidized emergency childcare
- Dependent Care FSA
- Company-wide events
- Employee referral bonus program
- Quarterly team building events
Financial Health
- 401k match
- Shared ownership employee stock program
- Monthly transportation stipend
*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.
Compensation
- Annual base salary: $140,000-$170,000
- Target annual bonus percentage: 10%
Working Conditions:
At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week.
The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.
We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.
#LI-MS1
#LI-Onsite
Ready to apply?
Apply to PitchBook Data
Sr. Partnerships Manager
Share this job
At PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We’re deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company.
Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there’s going to be some ambiguity along the way, but we excel when we challenge ourselves. We’re willing to take risks, fail fast, and do it all over again in the pursuit of excellence.
If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you.
About the Role:
Strategic Partnerships support PitchBook's strategic priorities through establishing third party relationships and delivering revenue, exposure, improved market penetration, and/or content to PitchBook. The team works closely with PitchBook’s Segments & Solutions, Direct Data, Product, Data Operations, Commercial, Marketing, Research, RevOps, Legal, and Finance teams to execute on partnership opportunities to maximize the growth of the PitchBook business.
Partnerships are designed to extend PitchBook’s reach, establish relationships to improve the workflows of our clients, enrich PitchBook’s original data and research with differentiated content, and identify strategic investment opportunities. The Senior Partnerships Manager is responsible for the lifecycle of partnership management including the day-to-day management of a portfolio of existing partnerships which may include key channel partners, proactive outreach to prospective partners, and evaluating inbound partnership opportunities. This role works closely with Strategic Partnerships leadership to contribute to strategic objectives as they relate to partnership opportunities and with stakeholders across all other departments to define market landscape, assess competitive position, and identify potential partners. This role requires someone with a proactive approach to relationship management, ability to weigh partner interests against PitchBook's strategy, and an expertise in building relationships externally and internally within a cross-functional team environment.
Primary Job Responsibilities:
- Lead partner sourcing efforts by identifying and evaluating new data, research, and capability providers aligned with business needs
- Manage ongoing relationships with key partners, ensuring service quality and contract compliance, and proactively identify new potential partnership expansion opportunities
- Oversee contract negotiations, renewals, and amendments in collaboration with Legal and Finance
- Monitor partner performance and usage metrics to inform renewal decisions and identify optimization opportunities
- Suggest partnership marketing programs to expand key partnership opportunities and collaborate with Marketing and GTM teams to support partner-related campaigns and communications
- Maintain a robust pipeline of potential partners and track industry trends to inform partner strategy
- Coordinate quarterly payment cycles and budget tracking for partner contracts
- Provide input into partner-related budgeting and forecasting processes
- Support the vision and values of the company through role modeling and encouraging desired behaviors
- Participate in various company initiatives and projects as requested
Skills and Qualifications:
- Bachelor’s degree preferred
- 7+ years of account management and/or business development experience
- 7+ years of experience working with financial services clients; experience with Investment Banking, Private Equity, Venture Capital, and Limited Partner clients a benefit
- Domain expertise in at least one of PitchBook’s core capabilities (e.g. Funds & Benchmarking, Credit, Equity Research, etc.)
- Prior experience with partnership/alliance licensing and go to market structures strongly preferred
- Exceptional customer-facing skills and experience with key account relationships required
- Ability to gather and distill information from disparate sources to form strategic recommendations
- Excellent verbal and written communication skills with a keen eye for detail
- Superior cross-team collaboration skills with a proven ability to coordinate with stakeholders across multiple teams and operate in a matrixed environment
- Proficiency with the Microsoft Office suite (including Copilot) and the ability to pick up new systems and software easily
- Must be authorized to work in the United States without the need for visa sponsorship now or in the future
Benefits + Compensation at PitchBook:
Physical Health
- Comprehensive health benefits
- Additional medical wellness incentives
- STD, LTD, AD&D, and life insurance
Emotional Health
- Paid sabbatical program after four years
- Paid family and paternity leave
- Annual educational stipend
- Ability to apply for tuition reimbursement
- CFA exam stipend
- Robust training programs on industry and soft skills
- Employee assistance program
- Generous allotment of vacation days, sick days, and volunteer days
Social Health
- Matching gifts program
- Employee resource groups
- Subsidized emergency childcare
- Dependent Care FSA
- Company-wide events
- Employee referral bonus program
- Quarterly team building events
Financial Health
- 401k match
- Shared ownership employee stock program
- Monthly transportation stipend
*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.
Compensation
- Annual base salary: $140,000-$170,000
- Target annual bonus percentage: 10%
Working Conditions:
At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week.
The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.
We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.
#LI-MS1
#LI-Onsite
Ready to apply?
Apply to PitchBook Data
Compensation Design & Programs Manager
Share this job
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies — from the world’s largest enterprises to the most ambitious startups — use Stripe to accept payments, grow revenue, and unlock new business opportunities. Our mission is to increase the GDP of the internet, and we have an enormous amount of work ahead.
That creates a rare opportunity: to help build economic infrastructure for the internet and do some of the most meaningful work of your career.
About the team
Stripe’s Total Rewards team designs the programs that help us attract, motivate, and reward exceptional people around the world. We partner closely with leaders across People, Finance, and the business to build compensation programs that are competitive, thoughtful, equitable, and built to scale.
This team sits at the center of how Stripe grows. The work is highly strategic, deeply analytical, and essential to ensuring our compensation approach supports both our people and our long-term ambitions.
What you’ll do
As a Compensation Program Manager, you’ll help shape and operate Stripe’s global compensation programs at a critical moment in our growth. You’ll work on some of the company’s most important people systems — from annual compensation planning to program design, tooling, process improvement, and cross-functional enablement.
This is a role for someone who enjoys solving complex problems, working with data at depth, and turning compensation philosophy into programs that are clear, scalable, and impactful. You’ll collaborate across People, Finance, and business teams to ensure Stripe’s compensation programs continue to be a meaningful advantage as we grow globally.
Responsibilities
- Support the planning, execution, and administration of Stripe’s annual compensation cycle for employees globally
- Conduct research and analysis to inform new compensation policies, frameworks, and programs
- Analyze complex datasets, surface actionable insights, and build tools or models that improve quality, scale, and efficiency
- Partner with People Operations to configure and enhance compensation-related business processes, rule plans, compensation packages, and equity programs
- Collaborate with People Programs, Talent Acquisition, People Operations, and Learning & Development to align compensation programs with business goals and talent strategy
- Develop clear communications and enablement materials to help managers and employees understand Stripe’s compensation programs and philosophy
- Continually assess compensation programs to ensure they are competitive, equitable, compliant, scalable, and aligned with the outcomes Stripe is driving as a business
Who you are
We’re looking for someone who meets the minimum qualifications for the role. If that’s you, we encourage you to apply. Preferred qualifications are a plus, not a requirement.
Minimum requirements
- 6+ years of relevant compensation experience, including designing or managing global compensation programs and processes, ideally in a high-growth technology environment
- Strong knowledge of compensation best practices, market trends, and benchmark data; international compensation experience preferred
- Excellent analytical skills, strong attention to detail, and deep expertise in Excel and/or Google Sheets, including building and maintaining complex models
- Ability to communicate clearly and effectively across a range of audiences, including translating complex quantitative insights into practical guidance for leaders and employees
- Strong project management and organizational skills, with the ability to manage multiple high-priority initiatives in a fast-moving environment
- Strong knowledge of Workday
Preferred qualifications
- Experience using AI to build tools, automate manual work, and improve workflow efficiency
- Exposure to equity administration processes in partnership with Equity Management and/or People Operations teams
Ready to apply?
Apply to Stripe
Senior Engineering Manager, iOS and Android
Share this job
About Us:
Grow Therapy is on a mission to serve as the trusted partner for therapists growing their practice, and patients accessing high-quality care. Powered by technology, we are a three-sided marketplace that empowers providers, augments insurance payors, and serves patients. Following the mass increase in depression and anxiety, the need for accessibility is more important than ever. To make our vision for mental healthcare a reality, we’re building a team of entrepreneurs and mission-driven go-getters. Since launching in February 2021, we’ve empowered more than ten thousand therapists and hundreds of thousands of clients across the country and insurance landscape. We’ve raised more than $178mm of funding from Sequoia Capital, Transformation Capital, TCV, SignalFire, and others.
The Opportunity
We're looking for a Senior Engineering Manager to lead and scale Grow Therapy's iOS engineering team. You'll own the technical vision, people strategy, and execution for our mobile platform — building consumer-grade experiences that help millions of clients access mental healthcare, and thousands of providers manage thriving practices.
As a Senior Engineering Manager within our engineering leadership team, you'll build and develop a high-performance iOS team, drive the technical strategy for our mobile platform, and partner closely with Product, Design, and cross-functional stakeholders to shape what gets built. This role sits at the intersection of mobile craft, product thinking, and engineering leadership. You'll bring clarity to ambiguity, raise the bar for iOS quality, and create an environment where engineers do their best work.
This is a rare opportunity to define the mobile experience for the future of mental healthcare — building the kind of polished, intuitive app that makes care accessible at a national scale.
What You'll Be Doing
- Define and own the long-term technical vision and strategy for the iOS platform, ensuring our mobile experience is on par with the best consumer apps (Airbnb, Uber, Duolingo)
- Lead, mentor, and grow a team of 8 - 9 iOS engineers — raising the bar for craft, code quality, performance, and mobile UX
- Partner with Product and Design leadership to shape the mobile roadmap, ensuring engineering influences direction and doesn't just execute
- Drive high-quality, high-velocity shipping with strong operational frameworks for planning, prioritization, and delivery excellence
- Build scalable mobile architecture — owning decisions around app performance, offline capabilities, release management, CI/CD, and platform tooling
- Use data to guide decisions, instrument systems, measure impact, and continuously optimize the iOS experience
- Execute on performance management — coach engineers on day-to-day challenges and long-term career development, maintain standards of excellence, and recognize outperformance
- Foster a welcoming, collaborative, high-trust team culture with low non-regrettable attrition, even in a remote-first environment
- Contribute to the broader engineering organization by collaborating with peer Senior EMs and leaders on org-wide initiatives and engineering culture
You'll Be a Good Fit If
- You have 6+ years of professional software engineering experience, including 4+ years leading engineering teams and at least 2+ years managing iOS or mobile-focused teams
- You have strong iOS technical depth — you understand Swift, UIKit/SwiftUI, mobile architecture patterns, and can engage deeply with your team on technical decisions
- You have a track record of shipping polished, high-quality mobile experiences at scale in a consumer or marketplace environment
- You bring a product engineering mindset — you deeply understand user needs and translate them into delightful, high-performance mobile experiences
- You've scaled teams through rapid growth — you know how to hire, onboard, and develop engineers while maintaining quality and velocity
- You have exceptional communication and cross-functional leadership skills, including the ability to influence non-technical stakeholders
- You operate with a founder's mindset — ownership, speed, scrappiness, resilience, and a bias toward action
- You are passionate about building high-performance teams and developing engineers into future leaders
Role Details:
- Employment Type: Full Time, Exempt
- Base Compensation: $225,000–$300,000 USD Annually.
Work Arrangement: Hybrid, with required in-office presence 3 days per week at our San Francisco, New York, or Seattle office. This role also includes travel 2–3 times per year for company and department offsites.
Full Time Employee Benefits:
- Comprehensive Health Coverage: Medical, dental, and vision insurance, plus life and disability coverage.
- Parental Leave & Family Support: Up to 18 weeks paid leave and a new child stipend.
- Financial Wellness: 401(k) program and equity opportunities.
- Meals & Home Office Support: Stipends for home office setup and ongoing funds for meals, with tailored perks for both remote and in-office employees.
- Time Off to Recharge: Flexible PTO, 12 paid holidays, and a full winter break week.
- Wellness & Development: Annual stipends to put towards personal & professional growth.
- Mental & Physical Health Support: No-cost access to therapy through the Grow platform, weekly flexible hours for self-care (“Mental Health Mornings/Afternoons”) and memberships to leading wellness apps (such as One Medical, Headspace, and Talkspace).
- Extra Perks: Pet insurance discounts, commuter benefits, and global travel assistance.
Research shows that some groups hesitate to apply unless they meet every qualification. If you’re excited about this role but don’t check every box, we encourage you to apply. At Grow, we value diverse experiences, transferable skills, and the unique strengths each person brings.
Grow Therapy is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
Use of AI Tools: By submitting your application, you acknowledge and consent to the use of automated tools as part of our recruitment process. Specifically, we use a third-party AI tool, Gem, to assist in the initial screening of resumes. This tool analyzes resumes based on role-specific criteria provided by our recruiters to identify potentially strong matches for the role. Importantly, no hiring decisions are made by the AI tool. All decisions about which candidates move forward are made by our human recruiting team after independent review.More information about Gem’s approach to compliance with California FEHA regulations on automated decision systems and New York Local Law 144 can be found on the Gem compliance website.We are committed to transparency and fairness in our hiring practices. If you have questions about how our AI tools work, or would like more information about how your application will be processed, please contact us at talentops@growtherapy.com. If you require an accommodation due to a disability, or have concerns about the use of AI in the hiring process, please also contact us. We are happy to provide assistance or offer an alternative method of participating in the recruitment process.
Ready to apply?
Apply to Grow Therapy
Staff + Sr. Software Engineer, Cloud Inference Launch Engineering
Share this job
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations.
Within Cloud Inference, the model & inference launch team owns the validation pipeline for our inference server and load balancer on these platforms. We're responsible for every inference change — model launches, performance improvements, safeguard integrations — landing on cloud platforms with correctness, performance, and reliability intact.
This is high-leverage infrastructure work: validation has to be fast and cheap enough to run on the same accelerators that serve customers, trustworthy enough to replace manual checks, and consistent enough that a change working on Anthropic first-party means it works everywhere. This directly determines how fast frontier models and features ship to every cloud platform, and how quickly performance wins reach production — reclaiming capacity at a time when compute is our scarcest resource.
What You'll Do
- Be on the critical path for frontier model launches, bringing up inference for new model architectures and shipping them to cloud platforms in lockstep with our first-party platform
- Work with the core inference team to bring new inference features (e.g. structured sampling, prompt caching, and more) to cloud platforms, owning the platform-specific integration that gets them to production
- Identify and dive deep on the gaps that make inference behave differently across first-party and CSPs — config drift, observability, deployment patterns, hard cross-platform bugs — and fix them at the source rather than building platform-specific workarounds
- Design, build, and own the CI/CD infrastructure for the inference server and load balancer across cloud platforms, with shadow traffic, performance baselines (throughput and latency), and correctness checks that catch regressions before production
- Drive down merge-to-production cycle time by making validation faster, more parallel, and cost-effective enough to run on the same constrained accelerator pool that serves customers, without trading away reliability
- Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads
You May Be a Good Fit If You:
- Have a strong interest in LLM serving; prior inference or ML experience is not required
- Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users
- Have a track record of building automation or test infrastructure that measurably improved release velocity or reliability
- Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration
- Thrive in cross-functional collaboration with both internal teams and external partners
- Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems
- Are highly autonomous and take ownership of problems end-to-end, including work that falls outside your job description
Strong Candidates May Also Have Experience With:
- LLM inference optimization, batching, and caching strategies
- Capacity-constrained scheduling or shared-resource test infrastructure
- Solid understanding of multi-region deployments, request routing, load balancing, global traffic management
- Working with CSP partner teams to scale infrastructure across multiple platforms, navigating differences in networking, security, privacy, and managed service
- Proficiency in Python or Rust
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process
Ready to apply?
Apply to Anthropic
Senior Security Operations Engineer
Share this job
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 at Brex
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
As a Security Operations Engineer at Brex, you will focus on preventing, detecting and responding to security threats across Brex's corporate and cloud environments. You will use existing systems and develop tools to improve our security capabilities. Our team is responsible for functions across corporate security, detection & response and infrastructure security domains; and we perform systems engineering and automation to support those functions.
Security Operations is part of our wider Trust & IT organization which means you will have the opportunity to work closely with Application Security, Corporate Engineering, GRC and IT and to improve security configurations, drive positive employee behaviors and generally work to prevent events from becoming incidents. You will also help build and maintain our team’s open source project Substation and have the opportunity to contribute to the Brex Tech Blog. You’ll be part of a team that actively contributes to the wider security community and has a commitment to mentorship and engineering excellence.
We’re looking for individuals with a strong background and interest in detecting, responding to, and resolving security incidents and security challenges. You should be comfortable dealing with lots of moving pieces, changing priorities, and new technologies, while having a keen eye for detail. Most importantly, you should be enthusiastic about working with a variety of backgrounds, roles, and people across Brex. Building a world-class financial service requires world-class security.
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
- Work on a highly cross-functional team to prevent, detect and respond to security threats across Brex's corporate and cloud environments
- Perform security incident response, investigation, remediation, and documentation, participate in periodic threat hunting and security exercises
- Leading, scoping and building features, participate in designing, and maintaining tools and systems which support the team’s domains – corporate security, detection & response and infrastructure security
- Collaborating and partnering with engineering and operations teams to drive remediation of security issues, while balancing prioritization of those security issues within SLA and teams’ respective backlogs
- Caring about secure system design, valuing building things correctly, an understanding of a MVP approach and an empathetic mindset when working with others
Requirements
- Bachelor’s degree in Computer Science, Engineering or related field OR equivalent training / fellowship OR 5+ years work experienceExperience working in a corporate security, detection & response or infrastructure security role with responsibilities for security alert triage and security incident response
- Familiarity with CI/CD systems and DevOps workflows (e.g. Buildkite, Flux, Git, Terraform) in cloud environments (e.g. AWS, Azure, GCP)
- Experience with deploying and maintaining some of the security services and tools owned by the team (e.g. - SIEM, data pipelines, SOAR, domain monitoring, endpoint tooling, email protection tooling, cloud security tools)
- While not primarily a development role, the team develops and maintains tools written in Go and Python, so experience with coding is required
- You thrive in a collaborative environment filled with a diverse group of people with different expertise and backgrounds. We currently have around 30 nationalities represented with more than ½ the company working in a country different from the one they grew up in.
Bonus points
- Proficiency with Go and other programming languages
- Experience with securing distributed systems in AWS, cloud and Kubernetes environments
- Contributions to the wider technical community (open source, public research, mentorship, community organizing, blogging, presentations, etc)
Compensation
The expected salary range for this role is $192,000 - $240,000. 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.
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
Brex’s Governance, Risk, and Compliance function is at an exciting and pivotal point in our maturity journey and we’re seeking a team member who can seamlessly bridge compliance expertise with technical execution. As a Senior GRC Engineer, you will drive critical GRC processes that mitigate risk, keep us compliant, and build trust with our customers and partners. You'll evolve the technical foundation of our Trust program by automating security controls, building integrations between security tools and GRC platforms, and creating scalable processes that enable Brex to maintain compliance efficiently as we expand into new markets. You'll work at the intersection of security, engineering, and compliance — translating regulatory requirements into technical solutions and building automation that eliminates manual toil.
You'll leverage your deep understanding of SOC 2, PCI DSS, ISO 27001, AI governance frameworks, and others to both design controls for emerging compliance requirements and mature existing programs through automation and continuous monitoring. You’ll support Trust Assurance, Third Party Risk Management, and other Security Risk Management initiatives. Working with our Engineering, Infrastructure, and Product teams, you'll translate compliance frameworks into technical controls and build automated systems that help us achieve world-class security as Brex expands.
Your contributions will directly accelerate Brex's maturity. You'll design workflows using Tines, build integrations between security and GRC systems, and create dashboards for security metrics. You'll implement controls across the technology stack, support multiple audits (SOC 2, PCI DSS, SOX/ITGC, FINRA, ISO), and contribute to AI governance framework implementation (ISO 42001, NIST AI RMF, EU AI Act).
You'll have autonomy to build innovative solutions, collaborating cross-functionally to implement controls that enable growth while communicating technical concepts effectively across the organization.
Where you’ll work
This role will be based in our Seattle 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
- Manage and scale IT infrastructure, services and tooling
- Work with a diverse group of IT partners to optimize our provided services
- Implement new services in support of Information Technologies vision
- Scale our services by implementing configuration as code via Terraform providers or APIs
- Operationalize and upskill IT and its partners by producing documentation and leading training sessions
- Evangelize best practices both internally and externally facing
Requirements
- 5+ years of experience in GRC, IT Governance, or Security Engineering with a strong track record of automating manual compliance workflows.
- Deep experience with security frameworks such as SOC 2, PCI DSS, ISO 27001, and NIST CSF, specifically within cloud-native environments.
- Technical proficiency in Python (or similar scripting languages) and experience building integrations using APIs to connect security tools with GRC systems. You can read code, design integrations, and understand technical implementations.
- Builder mindset with the ability to design and implement automated control testing, continuous monitoring, and data-driven security metrics. You see manual processes and immediately think about how to automate them.
- Exceptional cross-functional collaboration and communication skills. You can translate complex compliance requirements into technical specifications that engineering teams can actually implement and influence stakeholders across technical and non-technical domains.
- Strong systems thinking. You have the ability to design scalable GRC architectures that grow with the company, rather than just solving for the immediate audit.
- Bias for action. You’re a self-starter who ships solutions quickly and iterates based on feedback.
Bonus points
- Previous experience in Fintech or banking environments navigating complex regulatory landscapes.
- Hands-on experience with Tines or other SOAR platforms to automate security operations.
- Familiarity with AI/ML governance frameworks (NIST AI RMF, ISO 42001) or securing agentic systems.
- Deep knowledge of Cloud Security (AWS/GCP), infrastructure-as-code (Terraform), or DevSecOps practices.
- Relevant industry certifications such as CISSP, CISA, or CCSP.
- Experience building metrics dashboards for security visualization and reporting.
- Active contributions to the GRC or Security community through open-source projects or public research.
Compensation
The expected salary range for this role is $153,600 - $192,000. 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
Staff Software Engineer, Cloud Inference Safeguards
Share this job
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We are seeking a Staff Software Engineer to build and operate the safety, oversight, and intervention mechanisms that protect Claude on third-party cloud service provider (CSP) platforms. As the engineer responsible for Safeguards on those surfaces, you will ensure that every request served through our CSP partners is monitored for misuse, enforced against policy, and compliant with the data residency and privacy commitments that enterprise CSP customers expect.
You will sit at the seam between the Safeguards organization and the Cloud Inference team: taking classifiers, detection signals, and enforcement policies developed by Safeguards and making them run reliably inside a CSP partner’s infrastructure at serving-path latency and scale. You will own the architecture that lets our safeguards operate within those constraints without gaps. You will build, deploy and operate the multi-layered defenses that catch unwanted model behavior in real time, the telemetry pipelines that give us situational awareness over CSP traffic, and the enforcement hooks that let us act quickly when something goes wrong. Your work will directly determine whether Anthropic can ship frontier models on CSP platforms at the same safety bar we hold ourselves to on our first-party API.
Responsibilities:
- Build, deploy and operate real-time safeguards infrastructure—classifiers, rate limits, enforcement actions, and intervention hooks—embedded directly in the third-party CSP inference serving path
- Design and maintain the data residency and privacy architecture for safeguards signals on CSP platforms, ensuring we can detect abuse and monitor model behavior while honoring regionalization boundaries and enterprise contractual commitments
- Develop telemetry, logging, and evaluation pipelines that give Safeguards, Policy, and T&S operational teams situational awareness over CSP traffic and close the visibility gap between third-party and first-party serving
- Dive into the CSP serving stack to identify the lowest-impact points to gather signals or introduce interventions without degrading latency, stability, or overall architecture
- Hold a high operational bar: own on-call, drive root-cause analyses and postmortems for safeguards incidents on CSP platforms, and build systems that reduce the human intervention required to keep Claude safe
- Work closely with Safeguards research, Policy & Enforcement, the Cloud Inference team, and CSP partner contacts to turn detection research and policy decisions into production enforcement that works inside a partner’s cloud.
You may be a good fit if you:
- Have a Bachelor’s degree in Computer Science, Software Engineering, or comparable experience
- Have 7+ years of experience in high-scale, high-reliability software development, ideally with exposure to trust & safety, anti-abuse, fraud, or integrity systems
- Are proficient in Python and comfortable working across the stack—from request-path services to data pipelines to internal tooling
- Think adversarially: you can see a system from a bad actor’s perspective, anticipate how they will respond to countermeasures, and design defenses in depth rather than single points of enforcement
- Have experience scaling infrastructure to accommodate rapid traffic growth while keeping latency and reliability within tight budgets
- Are deeply interested in the potential transformative effects of advanced AI systems and are committed to ensuring their safe development
- Have strong communication skills and can explain complex technical and risk tradeoffs to non-technical stakeholders across Policy, Legal, and partner organizations
- Enjoy working in a fast-paced, early environment; comfortable with adapting priorities as driven by the rapidly evolving AI space
Strong candidates may also have experience with:
- Building trust and safety, anti-spam, fraud, or abuse detection and mitigation mechanisms for AI/ML systems, or the infrastructure to support these systems at scale
- Machine learning serving infrastructure (GPUs/TPUs, inference servers, load balancing) and the operational realities of running models in production
- Major cloud platform internals—IAM, Network/service perimeter controls, regional resource constraints, cloud-native logging/monitoring—or experience shipping software that runs inside a partner’s cloud rather than your own
- Data residency, privacy engineering, or compliance-constrained architectures, particularly where telemetry has to stay within regional or contractual boundaries
- Working closely with operational and human-review teams to build custom internal tooling, admin UX, and alerting
- Adversarial mindset: has shipped defenses against motivated attackers before, knows what it feels like when they adapt, and can sprint to close a gap before it becomes an incident
- Comfortable operating at the intersection of platform/infra engineering and trust & safety—neither a pure infra engineer nor a pure T&S engineer, but someone who can credibly do both
- Has shipped software that runs inside someone else’s infrastructure (partner cloud, embedded deployment, or similar) and knows how to get things done when you don’t control the whole stack
- Senior enough to own a cross-team seam independently, drive consensus across orgs, and make latency/safety tradeoff calls without escalation
- TypeScript or Rust, and agentic coding tools such as Claude Code
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process
Ready to apply?
Apply to Anthropic
Engineering Manager, GRC
Share this job
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
We are seeking a GRC Automation Lead to join our GRC organization and build the technical foundation for how we scale our risk and compliance programs. In this role, you will lead the team that designs and implements automated workflows, data pipelines, and integrations that transform manual compliance processes into scalable engineering systems.
This is a greenfield opportunity to establish the team, architecture, and integrations that will define how we approach governance, risk, and compliance at Anthropic. The core challenge is a data problem: compliance information lives across dozens of systems—cloud infrastructure, identity providers, HR platforms, ticketing tools, code repositories—and your job is to design systems that bring it together, normalize it, and make it actionable. Success in this role comes from understanding how systems connect and how data flows between them, not from writing code yourself.
At Anthropic, you'll also have a unique advantage: the ability to design AI-powered workflows where Claude acts as an extension of your team, handling tasks that would traditionally require additional headcount or manual effort. You'll need ingenuity to identify where agentic AI can accelerate evidence collection, interpret unstructured data, triage compliance gaps, and augment human judgment in risk assessments. Working closely with Security, IT, and Engineering teams, you'll translate compliance and regulatory requirements into solutions that support audit programs including SOC 2, ISO, HIPAA, and FedRAMP, building systems that combine traditional automation with AI capabilities to achieve scale that wouldn't otherwise be possible.
Responsibilities:
- Lead the team that establishes foundational GRC processes and architecture. Design and build automated workflows for risk management and compliance, creating scalable systems that enable continuous monitoring as Anthropic grows.
- Build data pipelines that aggregate risk, control, and asset information from across our technology stack. This means solving hard data integration problems: mapping disparate schemas, handling inconsistent data quality, and creating unified views of compliance posture through dashboards and reporting tools.
- Inform GRC platform strategy and implementation: in partnership with other programs, evaluate, select, and deploy tooling that meets our compliance requirements.
- Translate written policies and compliance requirements into policy-as-code—working with Engineering and Security teams to express requirements as enforceable rules, automated checks, and continuous validation rather than static documents.
- Establish feedback loops between policy and implementation: surface where technical controls diverge from written requirements, identify where policies need to evolve based on infrastructure realities, and ensure that compliance requirements are expressed in terms engineers can act on.
- Design and deploy agentic AI workflows that extend team capacity, using Claude to serve as a virtual GRC analyst to automate evidence analysis, monitor control effectiveness, draft audit responses, interpret policy documents, and handle other tasks that require reasoning over unstructured information.
- Design and maintain integrations connecting GRC tooling with cloud infrastructure, identity management systems, HRIS platforms, ticketing systems, version control, and CI/CD pipelines—working with engineers to implement integrations that enable automated evidence collection and continuous compliance validation.
- Build and lead an AI-forward GRC engineering function as we scale: hiring team members, establishing practices, and defining the technical roadmap for governance and compliance automation at Anthropic.
You may be a good fit if you:
- Have 12+ years of total experience and 3-4+ years of experience managing technical individual contributors or systems-focused teams, with a proven track record of building or scaling small teams (2-5 people) in security, compliance, automation, or operations functions.
- Are a systems thinker first. You understand how complex environments work: how data flows between systems, where integration points exist, what breaks when systems don't talk to each other. Your strength is designing the right architecture and environment for security monitoring, not necessarily implementing it yourself.
- Have 5+ years of experience designing automated workflows, data pipelines, or system integrations, whether through traditional development, low-code platforms, GRC tools, or process automation. We care about your ability to solve integration problems more than your programming language proficiency.
- Have a relentless focus on data integration: you understand how to pull data from multiple sources, normalize it, join it meaningfully, and surface insights. You're comfortable reasoning about messy, inconsistent data and designing systems that handle edge cases gracefully.
- Understand APIs and integration patterns: REST APIs, webhooks, authentication flows, polling vs. push architectures, and can evaluate systems based on how well they expose data and support automation.
- Can work independently with minimal guidance, taking ownership of complex problems from design through implementation while managing ambiguity inherent in early-stage programs.
- Have strong analytical and problem-solving skills with attention to detail necessary for compliance work, balanced with pragmatism about risk-based prioritization in fast-paced environments.
Strong candidates may have:
- Experience designing or implementing AI-powered automation, agentic workflows, or LLM-based tooling in operational contexts.
- Experience with GRC platforms such as ServiceNow GRC, Vanta, Drata, OneTrust, RSA Archer, or similar tools including configuration, customization, and integration capabilities
- Familiarity with scripting languages (Python or similar) for automation tasks, API interactions, and data transformation.
- Prior experience in high-growth startup environments demonstrating ability to build scalable processes and adapt quickly to changing requirements and priorities
- Familiarity with Infrastructure as Code tools (Terraform, CloudFormation, Ansible) and DevSecOps practices including CI/CD pipeline integration and policy-as-code implementations.
- Familiarity with cloud platforms (AWS, GCP, Azure) and an understanding of how compliance-relevant data can be extracted from their APIs and logging systems.
Deadline to apply: None, applications will be received on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process
Ready to apply?
Apply to Anthropic
Senior Pre- & Post-Sales Customer Engineer, Enterprise
Share this job
The Team + The Role
Pendo’s Customer Engineering team is the technical backbone of the pre- and post-sales customer motion. The team brings together work that has historically sat across Customer Success, Technical Account Management, and Solutions Engineering into one full-lifecycle technical owner. Customer Engineering helps customers connect technical execution to business outcomes and realize the value of their investment in Pendo.
As a Senior Customer Engineer, you own strategic and complex Enterprise accounts across acquisition, implementation, adoption, expansion, and escalation. You lead technical strategy for complex deployments, resolve ambiguous customer challenges, and partner closely with account teams to drive retention, expansion, and customer value. Your impact extends beyond your own accounts through playbooks, coaching, repeatable fixes, and workflow improvements that raise the capability of the broader Customer Engineering team.
This is a remote role supporting a West Coast territory.
What this looks like day-to-day
- New customer acquisition and selling: Partner with Account Directors on pre-sales motions for new customer acquisition, product expansion, and expansion across lines of business. You identify customer pain, craft and deliver tailored demos, and lead technical evaluations through requirements gathering, success criteria, installation guidance, and hands-on workshops.
- Complex implementations and value realization: Lead onboarding for strategic customers, including planning, implementation, integrations, and training. You build customer-specific implementation playbooks, guide complex deployments with executive visibility, and ensure customers realize value during onboarding and over time.
- Adoption, expansion, and growth: Identify opportunities to expand adoption across underutilized features, untapped products, and new lines of business. When adoption stalls, you diagnose root causes, design a path forward, and connect technical work to measurable business outcomes.
- Technical escalation: Serve as an escalation point for complex technical challenges raised by other Customer Engineers. You resolve ambiguous problems with multiple variables and tradeoffs, involving Product or Engineering only when truly needed.
- Team capability building: Build playbooks, document repeatable fixes, coach peers, and improve how Customer Engineering work gets done across the team. You use AI tools to accelerate content creation, surface patterns across accounts, and share practical workflow findings with the broader team.
- Early account impact: Assess account health, risks, stakeholder relationships, and the highest-priority problems to solve within your portfolio. You establish trust with Account Directors and customer stakeholders, then independently lead complex customer interactions that move accounts forward.
- Quarterly business outcomes: Drive measurable improvement in customer health, retention, expansion, and technical resolution across strategic accounts. You contribute reusable frameworks, playbooks, or processes that other Customer Engineers use and become a trusted advisor to Account Directors on account health and technical strategy.
Who You Are
Beyond the qualifications, we hire through a specific lens. These aren't buzzwords; they're the things we'll actually look for in how you talk about your work.
You're a builder, not a maintainer.
You're most energized when there isn't a clear path yet, and you get to define it. You don't wait for direction; you identify gaps, shape solutions, and drive them forward. At Pendo, great Senior Customer Engineers don't just follow instructions; they operate as strategic advisors, influencing decisions, guiding stakeholders, and elevating how we work.
You're AI-curious - genuinely.
You're not using AI tools occasionally. You're rewiring how you work around them. You're faster, sharper, and more prolific because of it, and you bring that energy to everything — how you approach your work, how you prep, how you communicate, how you think. We want someone who sees AI as a multiplier, not a shortcut.
Must-haves
- 5 to 8 years of experience in a customer-facing technical role such as Sales Engineering, Solutions Engineering, Technical Account Management, Customer Engineering, implementation, professional services, or solutions architecture.
- Deep hands-on experience with web technologies including HTML, CSS, JavaScript, and REST APIs, with the ability to architect and troubleshoot complex front-end implementations.
- Proven experience managing strategic Enterprise accounts with executive-level stakeholders, competing priorities, and complex technical or business requirements.
- Demonstrated ability to solve ambiguous problems involving multiple variables, constraints, and tradeoffs.
- Experience connecting technical execution to business outcomes such as retention, expansion, ROI, and value realization.
- Hands-on use of AI tools for account research, content creation, or workflow automation, with demonstrated integration into day-to-day work rather than light experimentation.
- Experience mentoring or coaching more junior technical team members.
Nice-to-haves
- Experience with Pendo, digital adoption platforms, product analytics, or in-app experience tooling in an enterprise environment.
- Hands-on experience with mobile app development, including Swift, Android, or React Native.
- Familiarity with data architecture, AI or machine learning concepts, or advanced analytics instrumentation.
- Track record of building reusable frameworks, playbooks, or processes that were adopted by a broader team.
About Pendo
Pendo was founded in 2013 by former product managers, who combined their heads and hearts to build something they wanted but never had as product managers: a simple way to understand and attack what truly drives product success. Our mission is to improve society's experience with software. Come join one of the fastest-growing startups, supported by best-in-class institutions like Battery Ventures, Salesforce Ventures, Spark Capital and Meritech.
Pendo Core Values: Bias to Act, Hone Your Craft, The Team is Pendo, and Maniacal Focus.
Location: Remote
Compensation: The expected On-Target Earnings (OTE) range for this role is $193,393 - $241,742, with a 70/30 base-to-variable compensation split.
Benefits: Pendo offers highly competitive United States benefits, including employer-heavy coverage with $0 premium options, strong 401(k) match, equity, and flexible time off.
EEOC: We are an equal opportunity employer and believe having diverse teams where everyone brings their whole self to Pendo is key to our success. We welcome all people of different backgrounds, experiences, abilities and perspectives.
Accessibility: Pendo is committed to working with, and providing access and reasonable accommodation to, applicants with mental and/or physical disabilities. If you think you may require an accommodation for any part of the recruitment process, please send a request to: accommodation@pendo.io. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.
Ready to apply?
Apply to PendoSoftware Engineering Manager
Share this job
ABOUT US
At RADAR, we're transforming the way the world thinks about physical retail. RADAR has raised over $104M from top investors, retailers, and strategics and works with some of the world's retail brands including American Eagle and Gap. We’re building the future of in-store experience where every product and every person can be precisely located in real time.
Our platform combines RFID and AI to unlock hyper-accurate product visibility and automation at scale. From real-time inventory tracking to seamless checkout experiences, our technology empowers some of the world’s largest retailers to streamline operations, reduce loss, and elevate both employee and customer experiences.
We’re a fast-growing, mission-driven startup where bold ideas, collaboration, and impact are at the core of everything we do. Join us as we reshape the physical world with digital precision, starting with retail and expanding far beyond!
OUR VALUES
Mission-Driven: We're transforming retail with cutting-edge technology and building something that truly matters.
Collaborative Team: We thrive on curiosity, shared goals, and solving complex problems together.
High Impact: You’ll make meaningful contributions from day one and help shape the future of our product and company.
Clear Communication: We value honesty, humility, and respectful dialogue—everyone’s voice matters.
Balanced Lives: We work hard, but not at the expense of well-being. We respect time, boundaries, and life outside of work.
Diverse Perspectives: We believe better ideas come from diverse backgrounds, experiences, and viewpoints.
Empathy-Driven Design: We build with deep respect for our end users, listening closely to their feedback and needs.
ABOUT THE JOB
As a Software Engineering Manager, you will be a player-coach leading a high-caliber engineering team building advanced platforms. Depending on your area of ownership, you may lead one or more teams across domains including Control Plane (edge/cloud compute), Dev/Sec Ops, Data Platform & Governance, High Scale Event Processing (hundreds of billions of events per day), Mobile Platforms, SRE & Operations, or Radar Platform (our core web/cloud customer experience). You will be technically hands-on in delivery while setting strategic direction, growing engineers, and collaborating cross-functionally with stakeholders and partner teams.
The best engineering managers here are strong engineers first. You'll be expected to contribute meaningfully to design, review code, and engage deeply with technical problems, not just manage the process around them. We move fast, and you've done it before. You know how to maintain a high quality bar without sacrificing velocity, and you bring the judgment to know when to push and when to slow down just enough to get it right.
Responsibilities:
- Lead, mentor, and grow a team of talented engineers; own performance management, career development, and a strong team culture.
- Set technical direction, support architecture decisions, and champion engineering best practices across your team and peers.
- Contribute directly to solution design and technical reviews; maintain a strong, credible technical presence.
- Manage agile processes, execution priorities, and on-time delivery of high-quality solutions.
- Collaborate with Engineering, Product, and UX stakeholders to define project plans and ensure requirements are understood, met, and well-documented.
- Identify, communicate, and drive resolution for technical and organizational risks.
- Foster a culture of security, quality, operational accountability, and continuous improvement.
- Support hiring and help grow the broader engineering organization.
ABOUT YOU
Required:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 7+ years of software engineering experience, including at least 2 years managing engineering teams of 5 or more direct reports.
- Proven ability to remain technically hands-on: contributing to design, architecture, and code review as a practicing engineer, not just an overseer.
- Demonstrated experience building, deploying, and operating complex distributed systems.
- Proficiency in at least one core language: Java, Python, C++, or Go.
- Solid foundation in systems or cloud architecture, DevOps/SecOps practices, automation, and CI/CD pipelines.
- Excellent communication, organizational, and people leadership skills.
- Commitment to engineering best practices: code quality, testing, and operational stability.
- Demonstrated ability to move fast and deliver in a startup or high-growth environment without compromising quality.
Preferred:
- Prior experience leading teams in one or more domains: Control Plane, Dev/Sec Ops, Data Platform, High Scale Event Processing, Mobile Platforms, SRE, or Radar Platform.
- Experience guiding teams through growth, change, and cross-functional collaboration.
- Familiarity with cloud platforms (AWS, GCP, Azure), container orchestration, or real-time data processing.
- Passion for mentoring, technical empowerment, and building inclusive engineering culture.
WHAT YOU'LL DO
In your first 30 days, you will:
- Meet every direct report 1:1 and begin building trust and rapport.
- Shadow team rituals: standups, planning, retros, design reviews.
- Map the systems your team owns: architecture, dependencies, operational health.
- Meet key cross-functional partners: product, design, peer engineering teams.
- Identify any immediate fires or risks that need attention before deeper learning is complete.
In your first 60 days, you will:
- Establish a consistent 1:1 cadence and begin individual development conversations.
- Actively participate in design and architecture discussions; contribute to code and technical reviews.
- Clarify team goals, priorities, and near-term delivery commitments.
- Identify process or quality gaps and begin forming a point of view on how to address them.
- Deliver or unblock at least one meaningful piece of work alongside your team.
In your first 90 days, you will:
- Present an initial team roadmap or priority framework to your manager and stakeholders.
- Have a clear development plan in place for each direct report.
- Be actively driving execution: unblocking the team, removing friction, and holding a high bar.
- Own at least one cross-functional initiative or decision end-to-end.
- Have a concrete plan to improve one dimension of team health: quality, velocity, culture, or process.
At RADAR, your base pay is one part of your total compensation package. The expected base salary range for this position is $200,000 - $250,000. Individual pay is determined by work location and additional factors, including job-related skills, experience and relevant education or training.You will also be eligible to receive other benefits including: equity, comprehensive medical and dental coverage, life and disability benefits, 401k plan, flexible time off, and paid parental leave. The pay range listed for this position is a good faith and reasonable estimate of the range of possible base compensation at the time of posting.
Research has shown that women & underrepresented minorities are more likely to read lists of requirements and consider themselves unqualified if they don't meet every single one. This list represents what we're ideally looking for, but everyone has unique strengths & weaknesses, and we hire for strength & potential, not lack of weakness.
Use of artificial intelligence or a LLM such as ChatGPT during the interview process will be grounds for rejection of your application process.
Ready to apply?
Apply to RADARABOUT LVT
LVT is redefining how businesses operate in the physical world, moving beyond traditional security solutions to deliver AI-driven, actionable intelligence that makes sites smarter, safer, and more secure. Since pioneering our first mobile, solar-powered units, our commitment to scrappy, hands-on innovation has made us an established leader and one of the fastest-growing companies in intelligent site technology. We are building the next generation of solutions—from our physical units in the field to a powerful Agentic AI platform—that allows our customers to gain unprecedented visibility and control over safety, compliance, and operations. This is your chance to join a cutting-edge team that isn't just watching the world change, but actively building the technology that is changing it.
We’re a team that’s focused on growth and innovation, and we’re proud that our crew, products, and leadership are being recognized for it.
- A Top-Tier Growth Company: Named one of the Financial Times’ Fastest Growing Companies 2025 and #10 on the Inc. 5000 Rocky Mountain Regional list for 2025.
- Innovative Leadership: Our CEO, Ryan Porter, was named an EY Entrepreneur of the Year 2025, and our CTO, Steve Lindsey, was inducted into the Silicon Slopes CTO Hall of Fame in 2024.
- Product & Software Excellence: We were named one of The Software Report’s Top 100 Software Companies of 2023 and are a winner of the Security Today Govies Award for 2025.
About This Role
As a Machine Learning Engineer, you will play a critical role on a team of engineers that drive new CV, LLM, VLM, and Agentic AI development for LiveView Technologies. You will be responsible for designing and implementing ML systems for security and monitoring. Department leads will need your help to understand which problems are appropriate for ML, and to select the appropriate machine learning models for our business needs. Your recommendations will help guide us in design decisions that add significant value to the company. You will have an opportunity to impact the success of the business with ML, and in other areas of software engineering.
Job Responsibilities
- Lead, design, implement, and improve ML and AI solutions leveraging CV, LLM’s, VLM’s, and Agentic AI
- Explore and research new and emerging ML technologies for the company
- Share insight into which types of problems are most appropriate for machine learning
- Provide guidance on distributed training and data collection
- Create solutions that are optimized to combine Edge IOT devices and Cloud Services
- Work in a multidisciplinary team
- Facilitate a culture of innovation, transparency, and clear communication
- Write and review technical documents, including requirements and design documents
Qualifications
- BS in computer science, electrical and computer engineering, or related field. MS is preferred, and PhD is a plus.
- 5+ years of professional software development experience, including 2+ years creating and shipping production-level Machine Learning solutions.
- 1+ years of experience specifically training and deploying solutions leveraging CV and/or Language Models (LLMs) or Vision-Language Models (VLMs).
- Expert proficiency in one or more programming languages (e.g., Python, C/C++) and familiarity with open-source technologies.
- Deep understanding and practical experience with supervised, unsupervised, and reinforcement learning methods for prediction and optimization.
- Experience with ML frameworks such as PyTorch, including the ability to select the optimal model for business applications.
- Experience with Neural Network and Transformer optimization (e.g., quantization, compression, distillation).
- Solid experience with applied data science methods, data structures, and algorithms.
- Expertise in ML training data collection, wrangling, and optimizing/tuning high-dimensionality data.
- Experience with Linux/Unix environments and source control systems (Git).
- Familiarity with cloud-based development platforms (e.g., AWS, Azure).
- Ability to work independently on ambiguous problems while maintaining a highly collaborative, team-player attitude.
- Excellent written and verbal communication skills for technical and cross-functional teams.
Desired
- Experience with Agentic AI frameworks and protocols: Langchain, CrewAI, Microsoft Agent Framework, Anthropic’s MCP, Google’s A2A, etc.
- Experience with reinforcement learning methods for prediction and optimization.
- Experience with Container ecosystems (e.g., Docker, Kubernetes).
- Experience in areas like search, ranking, computer vision, recommendation systems, or multi-modal/multi-sensor fusion.
- Evidence of thought leadership (e.g., patents, published papers) and experience presenting/visualizing results to business audiences.
The beginning annual salary range for this role is $175,500.00 - $208,000.00 USD and is determined by location, job-related experience, and education/training. Your total earning potential is amplified by a bonus structure tied to meeting goals, and you will become an owner from day one through our employee equity program.
BENEFITS
We believe you do your best work when your whole life is supported. We invest in our crew’s health, families, and financial futures with a benefits package designed to support you inside and outside the office. Full-time benefits include, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits (401k match up to 4%), and flexible PTO.
LVT IS PROUD TO BE AN EQUAL OPPORTUNITY EMPLOYER. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. All candidates must pass a drug screening and background check upon employment. Some roles may also require passing a federal background check and fingerprinting. Must be authorized to work in the U.S. If reasonable accommodation is needed to participate in the job application or interview process, and/or to perform essential job functions, please reach out to your recruiter.
Ready to apply?
Apply to LVT
Cloud Operations Administrator - II
Share this job
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We want people who are passionate about troubleshooting complex problems with systems, networking and storage at scale.
We are looking for a seasoned system administrator to help us keep the cloud running smoothly. Reporting to the manager of Cloud Operations, the GPU Operations Engineer monitors and provides first-response to all cloud health issues that impact, or could potentially impact, customer experience - internal or external. You will interface with teams across the organization to research and troubleshoot issues from single droplets to cloud-wide disturbances. Our workweek spans five days, and that may involve working on weekends.
What You'll Be Doing:
- Ensuring maximum uptime for our global infrastructure
- Automating processes and building tools to improve operational efficiency
- Coordinating operational work across teams to improve the platform with minimal impact
What You'll Add to DigitalOcean:
- Solid experience with Linux operating systems or Networking and day to day upkeep
- Familiarity with virtualization technologies and troubleshooting virtual machine instances
- Familiarity with containerization technologies and troubleshooting containers
- Familiarity with IPv4 Networking and troubleshooting (CCNA equivalent)
- Basic storage concepts and technologies
- Experience with monitoring systems and incident management
- Experience scripting in one or more of the following languages: Bash, Python, or Go
- Experience with GPU hardware or AI/ML, and Kubernetes
- A passion for good documentation and open communication
- Proven ability to learn!
Compensation Range:
- $107,000 - $134,000
*This is a hybrid role
JR: 2026-7423
#LI-Hybrid
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
Senior DevOps Engineer I
Share this job
Our mission: to eliminate every barrier to mental health.
At Spring Health, we’re on a mission to revolutionize mental healthcare by removing every barrier that prevents people from getting the help they need, when they need it. Our clinically validated technology, Precision Mental Healthcare, empowers us to deliver the right care at the right time—whether it’s therapy, coaching, medication, or beyond—tailored to each individual’s needs.
We proudly partner with over 450 companies, from startups to multinational Fortune 500 corporations, as a leading provider of mental health service, providing care for 10 million people. Our clients include brands you use and know like Microsoft, Target, and Delta Airlines, all of whom trust us to deliver best-in-class outcomes for their employees globally. With our innovative platform, we’ve been able to generate a net positive ROI for employers and we are the only company in our category to earn external validation of net savings for customers.
We have raised capital from prominent investors including Generation Investment, Kinnevik, Tiger Global, Northzone, RRE Ventures, and many more. Thanks to their partnership and our latest Series E Funding, our current valuation has reached $3.3 billion. We’re just getting started—join us on our journey to make mental healthcare accessible to everyone, everywhere.
Spring Health is seeking a Senior DevOps Engineer I to join our Platform team. Reporting to the Engineering Manager and partnering closely with our AI and Infrastructure teams, the Senior DevOps Engineer I will own the evolution of our automation tooling and the reliability of our multi-cloud infrastructure.
Please note that this is a hybrid role based in Seattle, with an expectation to be in the office 2–3 days per week. Candidates must be based in the Seattle metro area or able to relocate independently within 90 days of their start date. Occasional travel will be required for team on-sites.
What you’ll do
- Contribute to the DevOps team on-call rotation and internal tooling development to ensure platform stability.
- Partner with AI teams to build out scalable infrastructure leveraging team best practices for Infrastructure as Code (IaC).
- Create and iteratively improve automation tooling centered around established team standards for IaC.
- Participate in design consultations for the AI team to architect infrastructure for new services.
- Act as a subject matter expert for infrastructure reliability and deployment patterns.
- Collaborate across Engineering to identify bottlenecks in the developer experience and provide automated solutions.
- Ensure infrastructure built out is production ready according to best practices around telemetry and observability as well as reliability
What success looks like in this role
- Maintain 99.9% infrastructure uptime through the design and construction of highly available and reliable systems.
- Reduce DevOps operational toil by implementing robust tooling and self-correcting automation.
- Increase the self-serviceability of infrastructure, empowering engineering teams to deploy and manage resources independently through automation.
- Standardize IaC patterns across AI initiatives to decrease time-to-market for new models and services.
What you’ll bring
- Expertise in building highly available and reliable systems within AWS.
- Working knowledge of best practices for deploying services using Azure and GCP APIs.
- Proven track record of building custom automation tooling to solve complex infrastructure challenges.
- Deep understanding of infrastructure fundamentals and Infrastructure as Code (IaC) best practices.
- Experience operating in a containerized environment (Kubernetes/EKS) is preferred.
- A proactive approach to security and compliance within cloud environments is a plus.
- Knowledgeable in telemetry and observability best practices
The target base salary range for this position is $159,100 - $191,000 and is part of a competitive total rewards package including equity and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually using Radford Global Compensation Database at minimum to ensure competitive and fair pay.
Benefits provided by Spring Health:
Note: We have even more benefits than listed here and below, your recruiter will provide more in-depth information as you continue in the interview process. Benefits are subject to individual plan requirements and eligibility criteria.
- Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medical accounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type.
- Employer sponsored 401(k) match of up to 2% for retirement planning
- A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents.
- We offer competitive paid time off policies including vacation, sick leave and company holidays.
- At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents.
- Access to Noom, a weight management program—based in psychology, that’s tailored to your unique needs and goals.
- Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses.
- Access to Wellhub, which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription
- Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care
- Up to $1,000 Professional Development Reimbursement a year.
- $200 per year donation matching to support your favorite causes.
Not sure if you meet every requirement? Research shows that women and people from historically underrepresented communities often hesitate to apply for roles unless they meet every qualification compared to other similarly-qualified candidates. At Spring Health, we are committed to fostering a workplace where everyone feels valued, empowered, and supported to Thrive. If this role excites you, we encourage you to apply.
Ready to do the most impactful work of your life? Learn more about our values, what it’s like to work here, and how hypergrowth meets impact at Spring Health: Our Values
Our privacy policy: https://springhealth.com/privacy-policy/
Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.
Ready to apply?
Apply to Spring Health
Tech Lead/Manager, Machine Learning Research Scientist- LLM Evals
Share this job
As the leading data and evaluation partner for frontier AI companies, Scale is dedicated to advancing the evaluation and benchmarking of large language models (LLMs). We are building industry-leading LLM evals, setting new standards for model performance assessment. Our mission is to develop rigorous, scalable, and fair evaluation methodologies to drive the next generation of AI capabilities.
Our Research teams work with the industry’s leading AI labs to provide high quality data and accelerate progress in GenAI research. As the Tech Lead Manager of the LLM Evals Research team, you will lead a talented team of research scientists and research engineers focused on developing and implementing novel evaluation methodologies, metrics, and benchmarks to assess the capabilities and limitations of our cutting-edge LLMs. This role is critical for designing and executing a roadmap that defines best practices in data driven AI development and will accelerate the next generation of generative AI models in partnership with top foundational model labs.
You will:
- Lead a team of highly effective research scientists and research engineers on LLM evals.
- Conduct research on the effectiveness and limitations of existing LLM evaluation techniques.
- Design and develop novel evaluation benchmarks for large language models, covering areas such as instruction following, factuality, robustness, and fairness.
- Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects.
- Collaborate with internal teams and external partners to refine metrics and create standardized evaluation protocols.
- Implement scalable and reproducible evaluation pipelines using modern ML frameworks.
- Publish research findings in top-tier AI conferences and contribute to open-source benchmarking initiatives.
- Remain up-to-date on ongoing research in the team, help work through technical challenges, and be involved in design decisions
- Remain deeply involved in the research community, both understanding trends, and setting them
- Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results.
Ideally you'd have:
- 5+ years of hands-on experience in large language model, NLP, and Transformer modeling, in the setting of both research and engineering development
- Experience and track of recording in landing major research impacts in a fast-paced environment
- Experience supporting and leading a team of research scientists and research engineers
- Excellent written and verbal communication skills
- Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals
- Previous experience in a customer facing role.
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Ready to apply?
Apply to Scale AIML Research Engineer, ML Systems
Share this job
Scale’s ML platform (RLXF) team builds our internal distributed framework for large language model training and inference. The platform has been powering MLEs, researchers, data scientists and operators for fast and automatic training and evaluation of LLM's, as well as evaluation of data quality.
Scale is uniquely positioned at the heart of the field of AI as an indispensable provider of training and evaluation data and end-to-end solutions for the ML lifecycle. You will work closely across Scale’s ML teams and researchers to build the foundation platform that supports all our ML research and development. You will be building and optimizing the platform to enable our next generation of LLM training, inference and data curation.
If you are excited about shaping the future AI via fundamental innovations, we would love to hear from you!
You will:
- Build, profile and optimize our training and inference framework
- Collaborate with ML teams to accelerate their research and development and enable them to develop the next generation of models and data curation
- Research and integrate state-of-the-art technologies to optimize our ML system
Ideally you’d have:
- Strong excitement about system optimization
- Experience with multi-node LLM training and inference
- Experience with developing large-scale distributed ML systems
- Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc.
- Strong written and verbal communication skills and the ability to operate in a cross functional team environment
Nice to haves:
- Demonstrated expertise in post-training methods &/or next generation use cases for large language models including instruction tuning, RLHF, tool use, reasoning, agents, and multimodal, etc.
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Ready to apply?
Apply to Scale AIManager, Machine Learning Research Scientist, GenAI
Share this job
Scale AI accelerates the development of AI systems by providing the data, infrastructure, and tooling that power the most advanced models in the world. Our teams operate at the intersection of cutting-edge research, large-scale engineering, and real-world deployment, partnering with leading frontier labs, enterprises, and government agencies to push Generative AI into new capabilities and applications.
As AI rapidly evolves from static models to dynamic, agentic systems, Scale is building the foundational research, evaluation methodologies, and agent/RL infrastructure that will define this next era. You’ll join a high-impact research organization driving advances in large-language models, post-training, evaluation, and agentic/RL environments, helping shape how next-generation AI is built, measured, and deployed.
As a Research Scientist Manager, you will lead a world-class team of research scientists and engineers, define the research roadmap, and drive execution from early prototyping to deployment. You’ll thrive in a fast-moving environment, balancing deep technical leadership with people management, vision setting, and delivery.
You will:
- Lead, mentor and grow a team of research scientists and engineers working on GenAI research initiatives (e.g., evaluation, post-training, agents, RL environments).
- Define and drive a multi-year research roadmap: identify key scientific questions, set milestones, allocate resources, and ensure rigorous execution.
- Collaborate cross-functionally with engineering, product, client-facing teams and external academic or industry partners to translate research into components, insights, and actionable outcomes.
- Communicate compellingly: publish research, present at conferences, engage in open-source contributions, and represent the team externally.
- Drive an inclusive, high-performing culture: help your team through technical challenges, provide growth opportunities, and attract top talent.
- Stay deeply connected to the research community, understanding major trends, and helping set them.
- Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results.
Ideally you'd have:
- 5+ years of hands-on research experience (PhD or equivalent preferred) in machine learning, deep learning, generative models, agent/rl systems or related domains.
- A strong track record of research excellence, including publications in top-tier ML/AI venues (NeurIPS, ICML, ICLR, ACL, etc.).
- Experience and track of recording in landing major research impacts in a fast-paced environment
- Experience leading or managing research teams. You’re excited to mentor, coach and develop talent.
- Excellent written and verbal communication skills. You are able to articulate research ideas and outcomes to both technical and non-technical stakeholders.
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Ready to apply?
Apply to Scale AIMachine Learning Research Scientist, Reasoning
Share this job
About Scale
At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, fueling the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re amplifying access to high-quality data to drive progress toward Artificial General Intelligence (AGI). Building on our history of model evaluation with enterprise and government customers, we are expanding our capabilities to set new standards for both public and private evaluations.
About This Role
This role operates at the forefront of AI research and real-world implementation, with a strong focus on reasoning within large language models (LLMs). The ideal candidate will study the data types critical for advancing LLM-based agents, including browser and software engineering (SWE) agents. You will play a key role in shaping Scale’s data strategy by identifying the most effective data sources and methodologies for improving LLM reasoning. Success in this role requires a deep understanding of LLMs, planning algorithms, and novel approaches to agentic reasoning, as well as creativity in tackling challenges related to data generation, model interaction, and evaluation. You will contribute to impactful research on language model reasoning, collaborate with external researchers, and work closely with engineering teams to bring state-of-the-art advancements into scalable, real-world solutions.
Ideally, you’d have:
-
Practical experience working with LLMs, with proficiency in frameworks like PyTorch, JAX, or TensorFlow. You should also be skilled at rapidly interpreting research literature and turning new ideas into working prototypes.
-
A track record of published research in top ML and NLP venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, CoLLM, etc.).
-
At least three years of experience solving complex ML challenges, either in a research setting or product development, particularly in areas related to LLM capabilities and reasoning.
-
Strong written and verbal communication skills, along with the ability to work effectively across teams.
Nice to have:
-
Hands-on experience fine-tuning open-source LLMs or leading bespoke LLM fine-tuning projects using PyTorch/JAX.
-
Research and practical experience in building applications and evaluations related to LLM-based agents, including tool-use, text-to-SQL, browser agents, coding agents, and GUI agents.
-
Experience with agent frameworks such as OpenHands, Swarm, LangGraph, or similar.
-
Familiarity with advanced agentic reasoning techniques such as STaR and PLANSEARCH.
-
Proficiency in cloud-based ML development, with experience in AWS or GCP environments.
Our research interviews are designed to assess candidates' ability to prototype and debug ML models, their depth of understanding in research concepts, and their alignment with our organizational culture. We do not conduct LeetCode-style problem-solving assessments.
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Ready to apply?
Apply to Scale AIMachine Learning Research Scientist, Post-Training
Share this job
Scale works with the industry’s leading AI labs to provide high quality data and accelerate progress in GenAI research. We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF, reward modeling). This role will focus on optimizing data curation and eval to enhance LLM capabilities in both text and multimodal modalities.
In this role, you will develop novel methods to improve the alignment and generalization of large-scale generative models. You will collaborate with researchers and engineers to define best practices in data-driven AI development. You will also partner with top foundation model labs to provide both technical and strategic input on the development of the next generation of generative AI models.
You will:
- Research and develop novel post-training techniques, including SFT, RLHF, and reward modeling, to enhance LLM core capabilities in both text and multimodal modalities.
- Design and experiment new approaches to preference optimization.
- Analyze model behavior, identify weaknesses, and propose solutions for bias mitigation and model robustness.
- Publish research findings in top-tier AI conferences.
Ideally you’d have:
- Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field.
- Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning.
- Experience with post-training techniques such as RLHF, preference modeling, or instruction tuning.
- Excellent written and verbal communication skills
- Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals
- Previous experience in a customer facing role.
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Ready to apply?
Apply to Scale AIStaff Machine Learning Research Scientist, LLM Evals
Share this job
As the leading data and evaluation partner for frontier AI companies, Scale is dedicated to advancing the evaluation and benchmarking of large language models (LLMs). We are building industry-leading LLM evals, setting new standards for model performance assessment. Our mission is to develop rigorous, scalable, and fair evaluation methodologies to drive the next generation of AI capabilities.
Our Research teams work with the industry’s leading AI labs to provide high quality data and accelerate progress in GenAI research. As a Staff Machine Learning Research Scientist on the LLM Evals team, you will lead the development of novel evaluation methodologies, metrics, and benchmarks to measure the capabilities and limitations of frontier LLMs. You will help define what "good" looks like in generative AI, driving research that informs both our internal roadmap and the broader research community. This role is critical for designing and executing a roadmap that defines best practices in data driven AI development and will accelerate the next generation of generative AI models in partnership with top foundational model labs.
You will:
- Drive research on the effectiveness and limitations of existing LLM evaluation techniques.
- Design and develop novel evaluation benchmarks for large language models, covering areas such as instruction following, factuality, robustness, and fairness.
- Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects.
- Collaborate with internal teams and external partners to refine metrics and create standardized evaluation protocols.
- Implement scalable and reproducible evaluation pipelines using modern ML frameworks.
- Publish research findings in top-tier AI conferences and contribute to open-source benchmarking initiatives.
- Mentor and guide research scientists and engineers, providing technical leadership across cross-functional projects.
- Stay deeply engaged with the ML research community, tracking emerging work and contributing to the advancement of LLM evaluation science.
- Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results.
Ideally you'd have:
- 5+ years of hands-on experience in large language model, NLP, and Transformer modeling, in the setting of both research and engineering development
- Experience and track of recording in landing major research impacts in a fast-paced environment
- Experience tech leading a team of research scientists and research engineers
- Excellent written and verbal communication skills
- Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals
- Previous experience in a customer facing role.
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Ready to apply?
Apply to Scale AIStaff Applied AI Engineer, Enterprise GenAI
Share this job
AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative Platform (SGP).
The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an Applied AI Engineer, you’ll work with clients to create ML solutions to satisfy their business needs. Your work will range from building next-generation AI cybersecurity firewalls to creating transformative AI experiences in journalism to applying foundation genomic models making predictions about life-saving drug proteins. Daily data-driven experiments will provide key insights around model strengths and inefficiencies which you’ll use to improve your product’s performance. If you are excited about shaping the future of the modern AI movement, we would love to hear from you!
You will:
- Own, plan, and optimize the AI behind our Enterprise customer’s deepest technical problems
- Leverage SGP to build the most advanced AI agents across the industry including multimodal functionality, tool-calling, and more
- Have experience gathering business requirements and translating them into technical solutions
- Meet regularly with customer teams onsite and virtually, collaborating cross-functionally with all teams responsible for their data and ML needs
- Push production code in multiple development environments, writing and debugging code directly in both our customer’s and Scale’s codebases.
- Be able and willing to multi-task and learn new technologies quickly
Ideally you'd have:
- 7+ years of full-time engineering experience, post-graduation
- A love for solving deeply complex technical problems with ambiguity using state of the art research and AI to accomplish your client’s business goals
- Strong engineering background: a Bachelor’s degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background.
- Deep familiarity with a data-driven approach when iterating on machine learning models and how changes in datasets can influence model results
- Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment
- Proficiency in Python to write, test and debug code using common libraries (ie numpy, pandas)
Nice to haves:
- Strong knowledge of software engineering best practices
- Have built applications taking advantage of Generative AI in real, production use cases
- Familiarity with state of the art LLMs and their strengths/weaknesses
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Ready to apply?
Apply to Scale AISenior / Staff Machine Learning Research Scientist, Agents
Share this job
About Scale
At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations.
About the ACE team
The Agent Capabilities & Environments (ACE) team, part of Scale’s Research organization, brings together customer-facing Researchers and Applied AI Engineers. Our core mission includes research on agent environments and RL reward signals, benchmarking autonomous agent performance across real-world scenarios and environments, creating robust data programs to improve Large Language Models (LLMs) agentic capabilities and building foundational tools and frameworks for evaluating models as agents. ACE focuses on autonomous agents that dynamically interact with diverse external environments, including code repositories, GUI interfaces, browsers, and more.
About This Role
This role is at the intersection of cutting-edge AI research and practical application, with a focus on studying the data types essential for building state-of-the-art agents, such as browser and SWE agents. The ideal candidate will explore the data landscape needed to advance intelligent, adaptable AI agents, guiding the data strategy at Scale to drive innovation. This position requires not only expertise in LLM agents and planning algorithms but also creativity in addressing novel challenges related to data, interaction, and evaluation. You will contribute to impactful research publications on agents, collaborate with customer researchers, and work alongside the engineering team to translate these advancements into real-world, scalable solutions.
Ideally you’d have:
- Practical experience working with LLMs, with proficiency in frameworks like Pytorch, Jax, or Tensorflow. You should also be adept at interpreting research literature and quickly turning new ideas into prototypes.
- A track record of published research in top ML venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, COLM, etc.)
- At least three years of experience addressing sophisticated ML problems, either in a research setting or product development.
- Strong written and verbal communication skills and the ability to operate cross-functionally.
Nice to have:
- Hands-on experience with open source LLM fine-tuning or involvement in bespoke LLM fine-tuning projects using Pytorch/Jax.
- Hands-on experience and publications in building applications and evaluations related to AI agents such as tool-use, text2SQL, browser agents, coding agents and GUI agents.
- Hands-on experience with agent frameworks such as OpenHands, Swarm, LangGraph, etc.
- Familiarity with agentic reasoning methods such as STaR and PLANSEARCH
- Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment.
Our research interviews are crafted to assess candidates' skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organizational culture. We will not ask any LeetCode-style questions.
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Ready to apply?
Apply to Scale AISenior/Staff Machine Learning Engineer, General Agents, Enterprise GenAI
Share this job
Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities.
About the General Agents Team
The General Agents team, part of Scale’s Enterprise organization, builds robust general agents for customer use cases and applications. The team sits at the intersection of frontier agent development and real-world deployment, translating state-of-the-art reasoning and agentic capabilities into reliable, production-grade systems that drive real economic value. Our agents are scalable systems built around recurring enterprise problem domains, with a strong emphasis on generalization, extensibility, and deployment across many customers.
About the Role
As a Senior/Staff Machine Learning Engineer (MLE) on the General Agents team, you’ll play a critical role in designing, building, and deploying production-ready AI agents that solve high-impact enterprise problems. You will work across the full agent lifecycle—from model and system design to evaluation, deployment, and iteration—bridging cutting-edge agentic techniques with the constraints and requirements of real customer environments.
You will:
- Design and implement end-to-end agent systems that combine LLM reasoning, tool use, memory, and control logic to solve recurring enterprise use cases.
- Build scalable, reliable agent architectures that can be deployed across many customers with varying data, tools, and constraints.
- Develop evaluation frameworks, datasets, environments, and metrics to measure agent performance, reliability, and business impact in production settings.
- Collaborate closely with product managers, customers, data annotators, and other engineering teams to translate enterprise requirements into robust agent designs.
- Productionize frontier agent techniques (e.g., planning, multi-step reasoning and tool-use, multi-agent patterns) into maintainable, observable systems.
- Own deployment, monitoring, and iteration of agent systems, including failure analysis and continuous improvement based on real-world usage.
- Contribute to technical direction and architectural decisions for general agent development best practices and methods, with increasing scope and leadership at the Staff level.
Ideally you’d have:
- 5+ years of experience building and deploying machine learning or AI systems for real-world, production use cases.
- Strong engineering fundamentals, supported by a Bachelor’s and/or Master’s degree in Computer Science, Machine Learning, AI, or equivalent practical experience.
- Deep understanding of modern LLMs, prompt-, context-, and system-level optimization, and agentic system design.
- Proven proficiency in Python, including writing production-quality, testable, and maintainable code.
- Experience building systems that integrate models with external tools, APIs, databases, and services.
- Ability to operate in ambiguous problem spaces, balancing research-driven approaches with pragmatic product constraints.
- Strong communication skills and comfort working in customer-facing or cross-functional environments.
Nice-to-haves:
- Hands-on experience building AI agents using modern generative AI stacks (OpenAI APIs, commercial or open-source LLMs).
- Experience with agent frameworks, orchestration layers, or workflow systems (e.g., tool calling, planners, multi-agent setups).
- Familiarity with evaluation, monitoring, and observability for LLM-powered systems in production.
- Experience deploying ML systems in cloud environments and operating them at scale.
- Experience fine-tuning or adapting foundation models using methods like supervised fine-tuning (SFT), reinforcement learning with verifiable rewards (RLVR), and low-rank adaptation (LoRA) to improve agent performance on domain-specific tasks.
- Interest in shaping the future of general-purpose enterprise agents and their real-world impact.
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Ready to apply?
Apply to Scale AI
Analytics Data Engineering Manager, Product
Share this job
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As an Analytics Data Engineering Manager focused on Product, you will build and lead the analytics engineering team responsible for creating the data foundations that enable data-driven decision making across Anthropic’s Product organization. You will oversee the development of scalable data solutions for Product pillars – including Consumer, Claude Code, Enterprise & Verticals, Growth, Platform Product – managing a team of analytics engineers and working closely with stakeholders across Data Science, Product, and Engineering to ensure teams have access to reliable, accurate metrics that can scale with our company’s growth.
In this role, you will balance hands-on technical leadership with people management, setting the strategic vision for product data foundations while developing and mentoring team members. You will partner closely with Product Data Scientists, Product Managers, and Product Engineers to understand how users interact with Claude, how to measure product quality and growth, and how to transform raw event logs into insightful data marts that power product decisions.
Responsibilities:
-
Build and scale the Product Analytics Engineering team, including hiring and mentoring a team of high-performing analytics engineers embedded with Product pillars
-
Define and execute the strategic roadmap for product data foundations and analytics capabilities
-
Oversee the design and implementation of scalable data pipelines, data models, and analytics solutions that transform raw product event logs into canonical datasets and insightful data marts
-
Partner with Data Science, Product, and Engineering leadership to understand data needs and translate them into technical requirements
-
Establish and maintain high data integrity standards, SLAs, alerting, and best practices for the team
-
Drive the development of foundational data products, dashboards, and tools to enable self-serve analytics; partner with the Data Science team to build innovative data tools using Claude to scale data-driven decisions across Product teams
-
Foster a culture of technical excellence, continuous learning, and data-driven decision making
-
Serve as a technical thought leader for data modeling, ETL processes, and product analytics infrastructure
You might be a good fit if you have:
-
5+ years of experience managing analytics engineering or data engineering teams, preferably in a scaling startup environment
-
8+ years of total experience in analytics engineering, data engineering, or similar data-focused roles
-
Deep expertise in data modeling, ETL pipelines, and data warehouse architecture
-
Strong technical foundation with expertise in SQL, Python, dbt, and modern data stack tools
-
Proven track record of building and leading high-performing teams
-
Experience partnering with Data Science, Product, and Engineering leaders to deliver key product metrics and user behavior insights
-
Demonstrated ability to balance strategic thinking with hands-on technical leadership
-
Strong communication skills with the ability to translate complex technical concepts for diverse audiences
-
Experience scaling analytics functions from early stage to maturity in rapidly changing environments
-
Track record of establishing data governance, quality standards, and best practices
-
A bias for action and urgency, not letting perfect be the enemy of the effective
-
A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end
-
A passion for Anthropic’s mission of building helpful, honest, and harmless AI
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process
Ready to apply?
Apply to Anthropic
Electrical Engineer
Share this job
The Carbon Robotics LaserWeeder™ leverages advanced robotics, computer vision, AI/deep learning, and lasers to eliminate weeds with sub-millimeter accuracy—all without herbicides. This innovative solution reduces environmental impact, promotes soil health, and helps farmers address labor shortages and rising costs. Designed in Seattle and built at our cutting-edge manufacturing facility in Richland, Washington, the LaserWeeder is setting a new standard for automated weed control. With $157 million in funding from prominent investors such as BOND, NVentures (NVIDIA’s venture arm), Anthos Capital, Fuse Venture Capital, Ignition Partners, Revolution, Sozo Ventures, and Voyager Capital, Carbon Robotics is driving innovation.
As a no-nonsense team with a bias for action, we take pride in executing our ideas. Whether it’s designing transformative technology or visiting farms to ensure our products are reliable and safe, we do whatever it takes to deliver for our customers.
Working here means tackling big problems with big impact. You’ll find opportunities to grow professionally, solve complex challenges, and make meaningful contributions to a mission that matters. At Carbon Robotics, we trust our team to act independently and make practical, real-world decisions.
Join us as we innovate, execute, and build the future of farming together.
As an Electrical Engineer at Carbon Robotics you’ll be a key part of the team that designs and manages the eyes and ears of our robots. You will lead the selection, integration, and validation of the sensors and industrial components that allow our Laserweeder and autonomous systems to navigate rugged agricultural environments. You’ll do whatever it takes - which might include going to the farm - to ensure our customers have reliable and safe products.
What you’ll do:
- Identify and evaluate high performance sensors (LiDAR, Radar, IMU, GPS, Cameras), and industrial and automotive components (PLCs, power supplies, automotive ethernet switches) to meet the rigorous demands of 24/7 farming.
- Own the hardware lifecycle of these COTS components. This includes everything from research, vendor qualification, trade studies, mechanical and electrical integration, software integration (with software engineering team), testing, and in field support.
- Work closely with the test engineers to define and execute component and integrated system qualification test plans to ensure our equipment can perform no matter the conditions.
- Drive technical relationships with COTS suppliers and CM’s to ensure hardware availability and quality.
- Both lead and support key technical decision making through project planning, and cross-functional problem solving
- Prototype, debug, and iterate electrical designs through hands-on testing and automated verification.
Knowledge, Skills, and Abilities for Success:
- 3+ years experience as an Electrical Engineer
- Experience with LiDAR, Radar, cameras, GNSS, IMUs, PLCs, automotive ethernet, and/or automotive cameras
- Experience with sourcing and qualifying components for high-reliability systems
- Experience with managing vendor and manufacturer relationships
- Experience with Altium Designer (v18+)
- Experience with component to wire harness design and integration
- Experience with with Capital a plus
- Hands on experience in hardware debug and automated verification
- Experience designing systems for harsh outdoor environments is a plus
- Experience with SolidWorks and Jira is a plus
- Demonstrated ability to work with a team to achieve timely objectives
- Awareness of industry standards and regulations (SAE, ISO, IPC, etc.)
- Effective verbal and written communication skills and a desire to work in multidisciplinary teams
- BS+ in Electrical Engineering, Mechanical Engineering or related field
Carbon Robotics follows equitable hiring practices. Flexibility in our hiring process allows hiring of talent at levels different from what are posted. The compensation range outlined is based on a target budgeted base salary. Individual base pay depends on various factors such as relevant experience and skill, Interview assessments and responsibility of role, job duties/requirements. Offers are determined using our equitable hiring practices. Carbon Robotics offers additional compensation in the form of benefits premiums, pre-IPO stock options and On Target Earning commissions for appropriate positions. Base pay ranges are reviewed each year. We are committed to the principle of pay equity – paying employees equitably for similar work.
Why would you join Carbon Robotics?
Passion for building teams capable of solving uniquely interesting problems. Innovation while disrupting the market is what we do. Profiled in WSJ and Forbes, Carbon Robotics is poised to become the next billion dollar company in the rapidly growing worldwide Ag-Tech industry.
We offer competitive compensation and benefits to our full time US based* employees, including:
- Competitive salaries
- Pre-IPO Stock Options
- Generous Benefits:
- Fully-paid medical, dental, and vision insurance premiums for you and all dependents
- Choice of PPO or HDHP/HSA
- Virtual Care - Doctor on Demand
- Employee Assistance Program
- Mental Health HRA
- Restricted Healthcare Travel support
- Menopause Support
- Life Insurance
- Long Term Disability
- Flexible PTO
- 401(k) plan
- Pet Insurance
- Commuter Benefits
- Fully-paid medical, dental, and vision insurance premiums for you and all dependents
- Work Culture: Be a part of an inclusive and tight-knit company culture that values innovation and mission-driven success.
*Internationally based employees benefits varies & Contractors are not eligible for Carbon Robotics Benefits or Stock
Carbon Robotics is building a culture of diversity and inclusion for all. We welcome everyone’s voice and believe in open and transparent communication. We believe the best products, services, and companies are built by strong teams that include a diversity of backgrounds, perspectives, ideas, and experiences. We are committed to supporting and enabling growth and opportunity for every employee at every level. This is the foundation to which we will build a truly unique environment.
We are equally committed to equal employment opportunity, and it is foundational to how we recruit and hire our talented team. Employment is determined based upon capabilities and qualifications without discrimination on the basis of race, creed, color, religion, sex, gender identification and expression, marital status, military status or status as an honorably discharge/veteran, pregnancy (including potential pregnancy, pregnancy-related conditions, and childbearing), sexual orientation, age (40 and over), national origin, ancestry, citizenship or immigration status, physical, mental, or sensory disability , HIV/AIDS or hepatitis C status, genetic information, status as an actual or perceived victim of domestic violence, sexual assault, or stalking, or any other protected class as established by law.
#talentacquisition #laserweeding #laserweeder #weedcontrol #agtech #agtechnology #farmtech #robotics #lasers #lasersandrobots #missiondriven #AI #startup #wearehiring #computervision #machinelearning #carbonrobotics
Ready to apply?
Apply to Carbon Robotics
Analytics Data Engineer
Share this job
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
As an Analytics Engineer, you will be an early member of the Data Science & Analytics team building the foundation to scale analytics across our organization. You will collaborate with key stakeholders in Engineering, Product, GTM and other areas to build scalable solutions to transform data into key metrics reporting and insights. You will be responsible for ensuring teams have access to reliable, accurate metrics that can scale with our company’s growth. You will also lead your own projects to enable self-serve insights to help teams make data-driven decisions.
Responsibilities:
- Understand the data needs of stakeholder teams in terms of key data models and reporting, and translate that into technical requirements
- Define, build and manage key data pipelines in dbt that transform raw logs into canonical datasets
- Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data
- Develop insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company
- Build foundational data products, dashboards and tools to enable self-serve analytics to scale across the company
- Influence the future roadmap of Product and GTM teams from a data systems perspective
- Become an expert in our organization’s data models and the company's data architecture
You might be a good fit if you have:
- 5+ years of experience as an Analytics Data Engineer or similar Data Science & Analytics roles, preferably partnering with GTM and Product leads to build and report on key company-wide metrics.
- A passion for the company's mission of building helpful, honest, and harmless AI.
- Expertise in building multi-step ETL jobs, building robust data models through tooling like dbt; proficiency with workflow management platforms like Airflow and version control management tools through GitHub.
- Expertise in SQL and Python to transform data into accurate, clean data models.
- Experience building data reporting and dashboarding in visualization tools like Hex to serve multiple cross-functional teams.
- A bias for action and urgency, not letting perfect be the enemy of the effective.
- A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description.
- Experience building an Analytics Data Engineering (or similar) function at start-ups.
- A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process
Ready to apply?
Apply to Anthropic
Staff + Sr. Software Engineer, Cloud Inference
Share this job
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations.
Our engineers are extremely high leverage: we simultaneously drive multiple major revenue streams while optimizing one of Anthropic's most precious resources: compute. As we expand to more cloud platforms, the complexity of managing inference efficiently across providers with different hardware, networking stacks, and operational models grows significantly. We need product-minded backend engineers who can navigate these platform differences, design the services and abstractions that work across providers, and make architectural decisions that keep us reliable and cost-effective at massive scale.
Your work will increase the scale at which our services operate, accelerate our ability to reliably launch new frontier models and innovative features to customers across all platforms, and ensure our LLMs meet rigorous safety, performance, and security standards.
What You'll Do
- Design, build, and own backend services and infrastructure that serve Claude across multiple CSPs, accounting for differences in compute hardware, networking, APIs, and operational models
- Work cross-functionally with internal inference, product API, systems, and security teams, among others, and with CSP partners to stand up the full serving stack on new cloud platforms, resolve operational issues, and influence provider roadmaps
- Build and evolve CI/CD automation systems, including validation and deployment pipelines, that reliably ship new model versions to millions of users across cloud platforms without regressions
- Design interfaces and tooling abstractions across CSPs that enable cost-effective inference management, scale across providers, and reduce per-platform complexity
- Contribute to capacity planning, autoscaling, and workload routing strategies that match supply with demand and direct requests to the most cost-effective accelerator and region
- Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads
You May Be a Good Fit If You:
- Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users
- Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration
- Are curious about LLM serving; prior inference or ML experience is not required
- Thrive in cross-functional collaboration with both internal teams and external partners
- Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems
- Are highly autonomous and take ownership of problems end-to-end, including work that falls outside your job description
Strong Candidates May Also Have Experience With
- Direct experience working with CSPs to scale infrastructure or products across multiple platforms, navigating differences in networking, security, privacy, billing, and managed service offerings
- Have experience working with external partners to align goals and deliver impact
- Hands-on experience with capacity management, cost optimization, or resource planning at scale across heterogeneous environments
- Solid understanding of multi-region deployments, geographic routing, and global traffic management
- Proficiency in Python or Rust
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process
Ready to apply?
Apply to Anthropic
Network Security Engineer
Share this job
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
-
Move Fast: We act with speed and precision, breaking down big challenges into achievable steps.
-
Focus: We complete one goal at a time with care, collaborating as a team to deliver features with precision.
-
Balance: Sustained performance comes from rest and recovery. We ensure a healthy work-life balance to keep you at your best.
-
Craftsmanship: Innovation through excellence. Every detail matters, and we take pride in mastering our craft.
-
Minimal: Simplicity drives our innovation. We eliminate complexity through discipline and focus on what truly matters.
What We're Looking For
We’re looking for a Network Security Engineer to design, implement, and maintain secure network infrastructure across Lightning AI’s platform. In this role, you’ll take ownership of security systems and controls, working closely with infrastructure and engineering teams to ensure the reliability and protection of our production environment, including safeguarding our AI infrastructure against evolving threats.
This role can be based out of one of our office hubs (San Francisco or Seattle), with in-office requirements of at least 2 days per week and occasional team and company offsites. We are not able to offer visa sponsorship for this position at this time.
What You'll Do
- Network Security Design & Implementation: Architect robust network infrastructures, leveraging firewalls, VPNs, IDS/IPS, and network segmentation to enhance security.
- Threat Prevention & Risk Mitigation: Conduct comprehensive vulnerability assessments and penetration tests, ensuring robust security policies and access controls.
- Monitoring & Incident Response: Utilize SIEM tools for proactive threat detection and collaborate with SOC teams for incident response and breach investigation.
- Compliance & Security Governance: Ensure compliance with industry standards and regulatory requirements, maintaining thorough security documentation.
- Security Automation & Optimization: Implement and optimize automation tools for threat detection and response, while staying abreast of emerging security technologies.
What You'll Need
- Technical Expertise in firewalls (e.g., Palo Alto, Cisco ASA, Fortinet), IDS/IPS, VPNs, SD-WAN, cloud security, and encryption.
- Proficiency with Security Tools: Experience with SIEM (e.g., Splunk, QRadar), vulnerability scanners (e.g., Nessus, Qualys), and endpoint security solutions.
- Relevant Certifications, such as CCNP Security, CEH, CISSP, and GIAC Certifications (GSEC, GCIH, GPEN).
- A Passion for Security: A proactive approach to learning about new security technologies and threats
Compensation
We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits.
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.
Ready to apply?
Apply to Lightning AI
Infrastructure Engineer (Storage)
Share this job
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
-
Move Fast: We act with speed and precision, breaking down big challenges into achievable steps.
-
Focus: We complete one goal at a time with care, collaborating as a team to deliver features with precision.
-
Balance: Sustained performance comes from rest and recovery. We ensure a healthy work-life balance to keep you at your best.
-
Craftsmanship: Innovation through excellence. Every detail matters, and we take pride in mastering our craft.
-
Minimal: Simplicity drives our innovation. We eliminate complexity through discipline and focus on what truly matters.
What We're Looking For
Lightning AI is seeking a Senior Storage Infrastructure Engineer to join our Infrastructure Engineering team.
In this role, you will focus on building and operating the storage systems that power large-scale AI/ML training, inference, and HPC workloads. You will work at the intersection of software, hardware, and operations—developing automation, improving reliability, and scaling distributed storage systems across our bare-metal infrastructure.
You will help own the data plane of our storage infrastructure, supporting high-throughput, low-latency data access for some of the most demanding AI workloads. You’ll play a key role in managing and evolving our storage stack (including VAST and S3-compatible systems like Ceph), ensuring performance, reliability, and efficiency at scale.
We’re flexible on location for this team. This role can work hybrid out of one of our US-based hubs (Seattle, NYC, or SF) or fully remote within the U.S., with occasional company and team offsites. We are not able to provide visa sponsorship for this position at this time.
What You'll Do
Storage Systems & Infrastructure
- Operate and scale distributed storage systems, including VAST and S3-compatible object storage (e.g., Ceph)
- Improve performance, reliability, and efficiency of storage systems supporting large-scale AI/ML workloads
- Troubleshoot complex storage and data path issues across hardware and software layers
- Optimize storage performance to support high-throughput, low-latency AI training and inference workloads
Automation & Tooling
- Build and maintain automation for provisioning, managing, and monitoring storage infrastructure
- Develop Python-based tools and workflows to reduce manual operational overhead
- Improve lifecycle management of storage clusters, from deployment through maintenance and scaling
Systems & Operations
- Manage and operate Linux-based systems in production, including bare-metal environments
- Partner with infrastructure and data center teams on hardware bring-up, upgrades, and issue resolution
- Support capacity planning, utilization tracking, and forecasting for storage systems
- Leverage monitoring and telemetry to diagnose issues and improve system performance and reliability
Cross-Functional Collaboration
- Work closely with Infrastructure Engineering, Network Engineering, and Platform teams to integrate storage into the broader platform
- Contribute to design discussions around new infrastructure deployments and scaling strategies
- Help define best practices for operating storage systems in high-performance computing environments
What You'll Need
Required Qualifications
- 5+ years of experience in infrastructure engineering, systems engineering, or related roles
- Hands-on experience operating distributed storage systems (e.g., VAST, Ceph, or similar)
- Strong Linux systems experience in production environments
- Proficiency in Python or similar scripting/programming languages for automation
- Experience working with bare-metal infrastructure and hardware-oriented systems
- Ability to debug complex issues across system boundaries (storage, OS, hardware, networking)
- Experience with storage networking protocols (e.g., NFS or similar)
- Experience with capacity planning, monitoring, and performance tuning
Ideal Experience
- Experience with VAST storage systems in production environments
- Experience operating S3-compatible object storage at scale
- Data center operations experience, including working with physical hardware
- Familiarity with AI/ML or HPC workloads and their storage requirements
- Background in high-performance or low-latency distributed systems
- Familiarity with high-performance data transfer technologies (e.g., RDMA, GPU Direct Storage)
- Experience supporting GPU-based workloads or large-scale compute clusters
Compensation
We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits.
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.
Ready to apply?
Apply to Lightning AI
Infrastructure Engineer (Observability)
Share this job
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
-
Move Fast: We act with speed and precision, breaking down big challenges into achievable steps.
-
Focus: We complete one goal at a time with care, collaborating as a team to deliver features with precision.
-
Balance: Sustained performance comes from rest and recovery. We ensure a healthy work-life balance to keep you at your best.
-
Craftsmanship: Innovation through excellence. Every detail matters, and we take pride in mastering our craft.
-
Minimal: Simplicity drives our innovation. We eliminate complexity through discipline and focus on what truly matters.
What We’re Looking For
Lightning AI is seeking an Observability Infrastructure Engineer to join our Infrastructure Engineering team.
In this role, you will own and evolve observability systems across large-scale, GPU-enabled bare-metal infrastructure. You’ll operate at the intersection of infrastructure, data, and product, building platforms for metrics, logs, traces, and alerting that power both internal operations and customer-facing visibility.
You will play a key role in productizing observability, enabling scalable, multi-tenant monitoring experiences while keeping pace with rapid infrastructure buildouts. This includes designing telemetry pipelines, improving signal quality, and delivering actionable insights that ensure reliability and transparency across our platform.
We’re flexible on location for this team. This role can work hybrid out of one of our US-based hubs (Seattle, NYC, or SF) or fully remote within the U.S., with occasional company and team offsites. We are not able to provide visa sponsorship for this position at this time.
What You’ll Do
Observability Platform & Productization
- Own and evolve a scalable observability platform spanning metrics, logs, traces, and events
- Drive the productization of observability capabilities for both internal teams and external customers
- Design multi-tenant observability systems with scoped access, RBAC, and customer-facing visibility
- Continuously improve observability systems to keep pace with rapid infrastructure buildouts
Telemetry & Data Pipelines
- Design and operate telemetry pipelines ingesting data from GPUs, CPUs, networking (Ethernet & InfiniBand), containers, APIs, and BMC/Redfish
- Build systems to correlate signals across infrastructure layers to enable faster debugging and root cause analysis
- Implement streaming and real-time data pipelines using tools such as Kafka, OTEL, Promtail, or similar
Alerting, Reliability & Insights
- Design and implement noise-resistant alerting systems to improve signal quality and reduce operational load
- Create dashboards and alerting for InfraOps, Engineering, and Customer Success teams
- Build automated insights and enable proactive detection, forecasting, and system health visibility at scale
Systems & Infrastructure Engineering
- Contribute to broader infrastructure engineering projects beyond observability
- Partner with infrastructure and platform teams to embed observability into core systems and workflows
- Support large-scale, distributed systems across compute, networking, and storage environments
Cross-Functional Collaboration
- Work closely with customer-facing teams to deliver external observability experiences
- Collaborate with engineering, operations, and support teams to improve system transparency and reliability
- Help define best practices for observability across the organization
What You’ll Need
Required Qualifications
- 5+ years of experience in infrastructure engineering, SRE, or observability-focused roles
- Strong experience with monitoring systems such as Prometheus, Grafana, ELK, or VictoriaMetrics
- Experience building and operating observability platforms at scale
- Proficiency in Python, Go, or bash for automation and data integration
- Familiarity with containerized environments and Kubernetes observability
- Experience with streaming telemetry pipelines (Kafka, OTEL, Promtail, or equivalent)
- Experience with multi-tenant monitoring architectures
- Strong written and verbal communication skills
Ideal Experience
- Experience with GPU observability, particularly NVIDIA DCGM
- Experience monitoring large-scale GPU or HPC clusters
- Familiarity with InfiniBand fabric observability
- Experience building customer-facing or productized infrastructure systems
- Experience with correlation engines, RCA workflows, or predictive alerting systems
- Broad exposure to infrastructure domains including networking, storage, and provisioning
Compensation
We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits.
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.
Ready to apply?
Apply to Lightning AI
Infrastructure Engineer (GPU & Compute)
Share this job
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
-
Move Fast: We act with speed and precision, breaking down big challenges into achievable steps.
-
Focus: We complete one goal at a time with care, collaborating as a team to deliver features with precision.
-
Balance: Sustained performance comes from rest and recovery. We ensure a healthy work-life balance to keep you at your best.
-
Craftsmanship: Innovation through excellence. Every detail matters, and we take pride in mastering our craft.
-
Minimal: Simplicity drives our innovation. We eliminate complexity through discipline and focus on what truly matters.
What We're Looking For
Lightning AI is seeking a GPU & Compute Infrastructure Engineer to join our Infrastructure Engineering team.
In this role, you will own image management, system diagnostics, and validation across large-scale bare-metal compute infrastructure, with a particular focus on GPU-enabled systems. You will work at the intersection of hardware, systems, and software—developing automation, improving reliability, and enabling efficient cluster bring-up for AI/ML and HPC workloads.
You will play a key role in owning and evolving our image pipeline, running validation environments and test clusters, and supporting both system-level and GPU hardware qualification. This role is critical to ensuring that our infrastructure is consistent, performant, and ready to support demanding AI workloads from day one.
We’re flexible on location for this team. This role can work hybrid out of one of our US-based hubs (Seattle, NYC, or SF) or fully remote within the U.S., with occasional company and team offsites. We are not able to provide visa sponsorship for this position at this time.
What You'll Do
Systems, Image & Validation Infrastructure
- Own and evolve systems for image management, deployment, and validation across bare-metal infrastructure
- Run and maintain test clusters used for system validation, diagnostics, and bring-up
- Validate firmware, drivers, and OS images across compute and GPU-enabled systems
- Support hardware qualification efforts for next-generation platforms
GPU Diagnostics & Performance
- Own GPU diagnostics and validation workflows across large-scale infrastructure
- Diagnose and resolve complex issues across GPUs, drivers, OS, and hardware layers
- Analyze system and GPU performance using tools such as NVIDIA DCGM
- Identify failure patterns and drive improvements in system stability and validation coverage
Automation & Tooling
- Build and maintain automation for provisioning, validation, and system bring-up
- Develop Python-based tools and workflows to improve efficiency and reduce manual operational overhead
- Improve the reliability, repeatability, and scalability of image pipelines and validation systems
Systems & Operations
- Manage and operate Linux-based systems in production and validation environments
- Manage virtualization technology
- Support bare-metal provisioning workflows, including PXE and image-based systems
- Interface with hardware management systems (e.g., IPMI, Redfish) for monitoring and debugging
Cross-Functional Collaboration
- Partner with Infrastructure, Hardware, and Data Center teams on system bring-up and validation
- Collaborate with platform and ML teams to ensure systems meet workload requirements
- Contribute to best practices for provisioning, diagnostics, and lifecycle management of infrastructure
What You'll Need
Required Qualifications
- 5+ years of experience in infrastructure engineering, systems engineering, or related roles
- Strong Linux systems experience in production environments
- Hands-on experience with GPU-enabled systems and tools such as NVIDIA DCGM
- Familiarity with bare-metal provisioning and system bring-up workflows
- Proficiency in Python or similar scripting/programming languages for automation
- Ability to debug complex issues across hardware, OS, GPUs, and system software
Ideal Experience
- Experience with high-performance interconnects (e.g., InfiniBand, NVLink)
- Experience with PXE boot environments, LiveCD systems, or image-based provisioning workflows
- Experience with hardware management interfaces such as iDRAC, IPMI, or Redfish
- Data center operations experience, including working with physical hardware
- Experience supporting AI/ML or HPC workloads at scale
- Experience with GPU validation frameworks or large-scale hardware qualification processes
Compensation
We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits.
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.
Ready to apply?
Apply to Lightning AI
Fullstack Engineer
Share this job
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
-
Move Fast: We act with speed and precision, breaking down big challenges into achievable steps.
-
Focus: We complete one goal at a time with care, collaborating as a team to deliver features with precision.
-
Balance: Sustained performance comes from rest and recovery. We ensure a healthy work-life balance to keep you at your best.
-
Craftsmanship: Innovation through excellence. Every detail matters, and we take pride in mastering our craft.
-
Minimal: Simplicity drives our innovation. We eliminate complexity through discipline and focus on what truly matters.
What We're Looking For
We’re looking for a Fullstack Engineer to help develop and scale the Lightning AI platform across the frontend, CLI, APIs, and core backend systems. In this role, you’ll take ownership of key features and drive them end-to-end, working closely with engineering, product, and design to ship high-quality, iterative improvements. This is an opportunity to build systems that support real-world machine learning workloads at scale.
This role is based in one of our hubs (NYC, SF, Seattle, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.
What You’ll Do
- Write readable/testable/efficient code in React and either Python or Go (Golang).
- Build deep expertise in our technology stack to deliver new features, improve system stability, and increase overall performance.
- Partner with engineering and product leaders on developing the Lightning product while using your experience to set the technical direction for large projects.
- Evaluate, strengthen, and document technical architecture, tools, and processes.
- Maintain high standards for software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt.
- Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment where each engineer can grow.
What You’ll Need
- Proficiency in React and either Go (Golang) or Python, with a preference for Go
- Strong understanding of software engineering principles and lifecycle
- Hands-on experience as a Fullstack Engineer in a SaaS technology company
- Proven ability to take ownership of key features and drive end-to-end development
- Communication and collaboration with engineers, product managers, and designers
- Ability to operate in high uncertainty and rapidly changing environments
Compensation
We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits.
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.
Ready to apply?
Apply to Lightning AI
Frontend Engineer
Share this job
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
-
Move Fast: We act with speed and precision, breaking down big challenges into achievable steps.
-
Focus: We complete one goal at a time with care, collaborating as a team to deliver features with precision.
-
Balance: Sustained performance comes from rest and recovery. We ensure a healthy work-life balance to keep you at your best.
-
Craftsmanship: Innovation through excellence. Every detail matters, and we take pride in mastering our craft.
-
Minimal: Simplicity drives our innovation. We eliminate complexity through discipline and focus on what truly matters.
What We're Looking For
We’re looking for a Frontend Engineer to help develop and scale the UI and frontend infrastructure of the Lightning AI platform. In this role, you’ll take ownership of key features and drive them end-to-end, working closely with engineering, product, and design to ship high-quality, iterative improvements. With over 10,000 organizations building with Lightning, you’ll have a unique opportunity to impact how the world builds and deploys AI to production.
This role is based in one of our hubs (Seattle, NYC, SF, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.
What You’ll Do
- Write readable/testable/efficient code in React and Redux, and build deep expertise in our technology stack to deliver new features, improve system stability, and increase overall performance.
- Partner with engineering and product leaders on developing the user interface and frontend infrastructure while using your experience to set the technical direction for large projects.
- Evaluate, strengthen, and document technical architecture, tools, and processes.
- Maintain high standards for software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt.
- Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment in which each engineer can grow.
What You’ll Need
- Proficiency in React, JavaScript and TypeScript.
- Strong understanding of software engineering principles and lifecycle.
- Hands-on experience as a Frontend Engineer in a SaaS technology company.
- Proven ability to take ownership of key features and drive end-to-end development.
- Communication and collaboration with engineers, product managers, and designers.
- Ability to operate in high uncertainty and rapidly changing environments.
Compensation
We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits.
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.
Ready to apply?
Apply to Lightning AI
Backend Engineer
Share this job
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
-
Move Fast: We act with speed and precision, breaking down big challenges into achievable steps.
-
Focus: We complete one goal at a time with care, collaborating as a team to deliver features with precision.
-
Balance: Sustained performance comes from rest and recovery. We ensure a healthy work-life balance to keep you at your best.
-
Craftsmanship: Innovation through excellence. Every detail matters, and we take pride in mastering our craft.
-
Minimal: Simplicity drives our innovation. We eliminate complexity through discipline and focus on what truly matters.
What We're Looking For
We’re looking for a Backend Engineer to help develop and scale the Lightning AI platform, spanning APIs, infrastructure, billing, security, and integrations. In this role, you’ll take ownership of key features and drive them end-to-end, working closely with engineering, product, and design to ship high-quality, iterative improvements. This is an opportunity to build systems that support real-world machine learning workloads at scale.
This role is based in one of our hubs (Seattle, NYC, SF, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.
What You’ll Do
- Write readable/testable/efficient code in Go (Golang).
- Build deep expertise in our technology stack to deliver new features, improve system stability, and increase overall performance.
- Partner with engineering and product leaders on developing the Lightning product while using your experience to set the technical direction for large projects.
- Evaluate, strengthen, and document technical architecture, tools, and processes.
- Maintain software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt.
- Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment where each engineer can grow.
What You’ll Need
- Extensive experience writing efficient, maintainable code in Go. Familiarity with best practices in testing, readability, and optimization is essential.
- Broad knowledge of backend and frontend systems, with experience building and scaling APIs, CLI tools, billing systems, and security protocols. Exposure to frontend frameworks is a plus.
- Experience with cloud platforms like AWS, GCP, or Azure and designing systems that are reliable, performant, and scalable. Familiarity with containerization (Docker, Kubernetes) is a strong advantage.
- Proven ability to take ownership of key features and drive end-to-end development
- Commitment to software quality, test automation, and continuous delivery. Experience proactively managing technical debt and speeding up time to production.
- Hands-on experience as a backend or product engineer in a SaaS technology company
- Communication and collaboration with engineers, product managers, and designers
- Ability to operate in high uncertainty and rapidly changing environments
Compensation
We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits.
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.
Ready to apply?
Apply to Lightning AI
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).
About the Role
The Senior Advertising Manager’s primary responsibility is to work client-facing, with a specific book of commerce clients to create, manage, optimize, report on, and present full funnel marketing campaigns. In this role, you will work directly with a variety of large Brands across multiple global Amazon markets and different product categories. You will also play a major role in crafting budget strategies, driving sales and enhancing brand awareness on Amazon, Walmart and other commerce platforms.
Responsibilities:
- Own Amazon search and display (DSP/OTT) performance advertising for an assigned set of clients
- Create, implement, manage, and report on advertising strategies that align with client goals
- Collaborate with internal and external stakeholders to maximize performance for the client’s business
- Proactively research industry trends and best practices and communicate internally to knowledge share
- Engage frequently and professionally with clients via email/slack, phone, and in-person video meetings
- Strategic thinking, detail oriented execution, and insightful data analysis to identify areas of opportunity and deliver sales-driving initiatives
- Utilize Amazon Attribution and Amazon Marketing Cloud to gain additional insights to increase performance
- Mentor more junior Advertising Managers
About You
The essentials:
- Amazon Performance Advertising experience with knowledge of developing strategic full funnel strategies to grow brands
- 4+ years’ experience with Amazon digital advertising; with an emphasis on paid search and display advertising
- Strong large-client facing experience
- Amazon advertising accreditation at the date of hire or commitment for accreditation within 30 days of hire
- Experience with Amazon SaaS Advertising Technologies
- Advanced understanding of PowerPoint, Excel, and Word or Google Slides, Docs and Sheets
- Excellent attention to detail and accomplished verbal and written communication skills
- Analytical and strategic capabilities
- Multitasking expertise with the ability to organize projects and establish priorities
Not a must, but a plus:
- Agency experience with a focus on Amazon programmatic display advertising, Amazon Demand Side Platform and Amazon search
- Adept at learning new software programs and tools and incorporating AI into workflows
- Experience using bid management tools
- Additional marketplace experience such as Walmart, Target, Instacart
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
Benefits
- Excellent, full coverage medical, dental, and vision insurance - more about our coverage here!
- 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.
Ready to apply?
Apply to Monks
Commercial Counsel, Infrastructure Security
Share this job
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic’s model weights and training infrastructure are among the highest-value targets in the technology sector, facing nation-state, supply-chain interdiction, and insider threats that conventional enterprise security programs were not built to address. As Commercial Counsel, Infrastructure Security for Compute and Infrastructure at Anthropic, you’ll be the day-to-day legal partner to the Chief Security Officer’s infrastructure-security and the Governance, Risk and Compliance teams. You will own the contractual and regulatory layer of physical and facility security, hardware and supply-chain security, network security, vendor personnel and insider-risk flow-downs, and security regulatory and assurance.
You’ll work in close partnership with Anthropic teammates in Frontier, Product, Litigation, Employment, and Commercial Legal, in addition to specialized outside counsel. You will serve as the primary legal owner ensuring security requirements are in the contract before signature and that external work product aligns with Anthropic’s security posture and commercial objectives.
Responsibilities:
-
Draft and negotiate security design-basis and site-hardening specifications in build-to-suit, lease, and colo agreements (perimeter, access control, CCTV, intrusion detection); guard-force statements of work, post orders, and KPI regimes; visitor, contractor, and badging policy; and security clauses in shared-campus and multi-tenant arrangements
-
Own provenance, anti-tamper, and chain-of-custody warranties in silicon, ODM, and OEM paper; trusted-supplier and country-of-origin restrictions; NDAA §889/§5949 and CHIPS-Act guardrail flow-downs; BIS/EAR advanced-computing and semiconductor export-control flow-downs and end-use/end-user certifications; firmware integrity, secure-boot, and golden-image escrow terms; secure logistics; counterfeit-part and grey-market controls; and secure decommissioning and certified media-destruction terms
-
Draft security schedules in carrier and fiber agreements (encryption-in-transit, route integrity, lawful-intercept handling), and security obligations in peering agreements
-
Set background-screening, training, and badge-revocation requirements for vendor and contractor personnel with site or hardware access, and flow Anthropic personnel-security standards into guard-force, security-integrator, and EPC vendor MSAs
-
Support CFIUS and outbound-investment screening on infrastructure vendors and sites, provide NIST/ISO/SOC 2 physical-control evidence for customer and auditor assurance in partnership with security teams; and support security representations in customer contracts that reference physical infrastructure with Commercial Legal
-
Work closely with specialized outside counsel, ensuring their work product aligns with Anthropic’s security and commercial objectives
-
Build the function: develop and maintain the security-schedule library, design-basis templates, advise on vendor security questionnaire templates, and negotiation playbooks; train Procurement, Datacenter, and Network teams to apply them at scale
-
Serve as direct counsel to the CSO’s infrastructure-security organization, coordinating with Product Legal and Litigation on incident response, threat intelligence, law-enforcement and intelligence-community engagement, insider-threat governance, and model-weight security policy under Anthropic’s Responsible Scaling Policy
-
Escalate novel structures or terms that create downstream risk for Anthropic’s security posture or operational flexibility; ensure security requirements accommodate AI-specific threats including hardware tamper, supply-chain interdiction, and high-value-target facility risk
-
Monitor and assess the evolving regulatory landscape affecting security and data protection, identifying higher-risk obligations for the business and partnering with security to operationalize them through policies, controls, and compliance programs
-
Advise on risk assessments, risk acceptance decisions, and reporting to leadership and the board; and review remediation commitments arising from assessments, customer audits and regulator inquiries.
Minimum qualifications:
-
JD and active membership in at least one U.S. state bar
-
Fluency in security design-basis specifications, guard-force and access-control contracting, and how security schedules interact with build-to-suit, colo, procurement, and carrier agreements
-
Experience with NDAA §889/§5949, CHIPS-Act guardrails, CFIUS/outbound-investment screening, and trusted-supplier or country-of-origin programs
-
Comfort with NIST, ISO 27001, and SOC 2 physical-control frameworks and the evidence and attestation process that supports customer and auditor assurance
-
Ability to coordinate effectively with multiple internal legal teams, and specialized outside counsel while maintaining strategic direction
-
Strong judgment about when contractual security terms create downstream risk for Anthropic’s security posture, audit position, or operational flexibility
-
Effective collaboration skills for working with the CSO’s organization, procurement, datacenter, and network teams
-
Communication skills that translate security and supply-chain-integrity concepts into clear risk assessments for business stakeholders
-
Genuine interest in infrastructure security and appreciation for why physical, hardware, and network security is mission-critical for frontier AI
Preferred qualifications:
-
At least 10-12 years of relevant legal experience with meaningful exposure to physical and facility security contracting, hardware and supply-chain security, network security schedules, or security regulatory and assurance work for critical infrastructure
-
In-house experience at cloud service providers, hyperscalers, defense and aerospace primes, telecom carriers, utilities, semiconductor companies, or datacenter operators supporting physical-security, supply-chain-security, or security-assurance programs; or U.S. government experience at DoD, DHS/CISA, BIS, or CFIUS staff
-
Experience at large technology companies with first-party datacenter or hardware programs supporting security contracting from the buy side
-
Law firm experience at practices with national-security, supply-chain, or critical-infrastructure specialization, particularly those who have worked on NDAA §889, CFIUS, or trusted-supplier matters
-
Prior involvement in transactions requiring sophisticated understanding of secure logistics, chain-of-custody, firmware integrity, and certified media destruction
-
Familiarity with CCTV/biometrics privacy regimes, executive-protection contracting, and the contractual layer of insider-risk programs
-
Ability to obtain and maintain a U.S. security clearance
Role-specific policy: For this role, we expect staff to be able to work from our San Francisco, Seattle, Washington D.C., or New York office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process
Ready to apply?
Apply to Anthropic
Staff Infrastructure Engineer, Cluster Infrastructure
Share this job
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand.
Cluster Infra owns the full lifecycle of compute clusters at Anthropic. We build agent-driven automation for cluster provisioning and lifecycle management across all major cloud providers and our own datacenters. Our systems stand up clusters that are interconnected with high bandwidth, secure-by-default, and able to automatically drain and recover in response to failure. As a Staff engineer on this team, you'll set the technical direction for how Anthropic brings compute online - at a moment when the scale of that compute is growing faster than at almost any company in the world.
Key responsibilities
- Own the technical strategy and roadmap for agent-driven cluster lifecycle management - provisioning, updates and decommissioning
- Partner across teams to ensure new compute capacity is ingested on time
- Align with partner teams on physical build-out and leverage cloud solutions to deliver high-bandwidth inter-cluster connectivity
- Collaborate with security owners to ensure clusters are provisioned secure-by-default
- Define and drive strategy on cluster scalability, homogeneity and fault tolerance
- Work closely with cloud providers and internal research, inference and product teams to shape long-term compute, data, and infrastructure strategy
- Establish and evolve operational-excellence practices: incident response, postmortem culture and on-call health
- Support the growth of engineers around you through technical mentorship and coaching
Minimum qualifications
- Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure)
- Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform.
- Track record of leading complex, multi-quarter technical initiatives spanning multiple teams or systems
- Ability to build alignment across senior stakeholders and communicate effectively at all levels
Preferred qualifications
- 8+ years of software engineering experience, including time as a technical lead setting direction for a team
- Experience operating large-scale compute infrastructure at hyperscale (100+ clusters, 10K+ nodes)
- Depth in one or more of: Kubernetes internals, cluster provisioning and management systems, cluster orchestration systems (Mesos, Borg-like)
- Experience with cloud networking: VPC design and peering, Shared VPC/Transit Gateway, Cloud Interconnect/Direct Connect, Cloud NAT, cross-cloud private connectivity, BGP and route control, edge load balancing and DDoS mitigation (Cloud Armor / AWS Shield)
- Experience with cluster and host networking: CNI (Cilium), eBPF, NetworkPolicy, multi-NIC, sFlow, service mesh (Istio/Envoy/Linkerd, mTLS)
- Experience with cluster security: pod security standards and admission control, RBAC and least-privilege IAM, node and container hardening, supply-chain/image provenance
- Deep experience with infrastructure-as-code (Terraform, Atlantis), workflow orchestration (Temporal, Argo Workflows)
- Skill in quickly understanding systems design tradeoffs and keeping track of rapidly evolving software systems
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process
Ready to apply?
Apply to Anthropic
We are seeking an innovative, customer-focused leader to drive the AI Platform product area at Talkdesk. As the Principal Product Manager, you will be at the helm of shaping a platform that powers AI-driven solutions for the future of customer engagement. You will collaborate with designers, engineers, GTM teams, and the executive leadership to build cutting-edge AI capabilities that accelerate growth and lead to market leadership.
In this role, you will oversee a mix of strategic product leadership and people management, with the opportunity to guide both product innovation and team development. As a key partner to our GTM teams, you’ll serve as the face of the AI platform, engaging with customers, prospects, and partners to drive adoption and success.
Job Summary:
- The Principal Product Manager is responsible for leading the development and management of complex products from ideation to launch. This includes defining product strategy, conducting market research, developing product roadmaps, and collaborating with cross-functional teams to ensure successful product launches. The Principal Product Manager is a senior leader who provides guidance and direction to other product managers and technical staff.
Duties and Responsibilities:
- Lead the development and management of complex products, from ideation to launch, ensuring they are completed on time, within budget, and meet quality standards
- Work closely with cross-functional teams, including engineering, design, sales, and marketing, to ensure that all aspects of the product are aligned
- Develop and maintain product roadmaps and feature backlogs, and track progress against milestones
- Conduct market research and gather customer feedback to identify customer needs and pain points, and use this information to inform product decisions
- Develop and maintain strong relationships with customers and other key stakeholders, in order to identify critical use cases that can be solved by AI solutions and gather feedback to improve product capabilities and inform future launches
- Use data and metrics to measure the effectiveness of products and features, and make data-driven decisions to optimize product performance
- Manage the product lifecycle, from launch to end-of-life, ensuring that products are updated and maintained as needed
- Provide leadership and guidance to other product managers and technical staff, ensuring they have the resources and support needed to complete their work
- Manage relationships with suppliers, vendors, and contractors to ensure that products are developed and delivered on time and within budget
- Ensure that all product work is completed in compliance with industry regulations and standards.
Qualifications:
- Bachelor's degree in Business, Marketing, Engineering, or a related field
- At least 5 years of experience in product management, with a proven track record of successfully launching and managing complex products
- Strong leadership and product management skills, with the ability to manage and motivate a team of product managers and technical staff
- Strong analytical skills, with the ability to use data and metrics to make informed product decisions
- Experience in developing product strategy and roadmaps, with a deep understanding of customer needs, market trends, and competitive landscape
- Excellent communication skills, with the ability to effectively communicate product strategy and vision to cross-functional teams and senior leadership
- Experience working in an agile development environment, with a strong understanding of agile methodologies
- Proven experience managing a portfolio of AI driven products, with a strong ability to prioritize features, models, and experiments across multiple products simultaneously.
- Understand and be able to explain with detail the concepts of AI, generative AI, Agentic AI and underlining technologies (LLMs, prompts, vectors, among others).
- Strong understanding of industry regulations and standards with exposure to and knowledge of AI technologies
Pay Range (Base Pay): $115,000 - $273,000
Other Types of Pay: Based on level and role the employee may be eligible for long term incentives in the form of equity and short term incentives of either bonus or commission.
Health Insurance: Medical, Dental, Vision, Life and Disability Insurance, Employee Assistance Program (EAP).
Retirement Benefits: 401(k) plan
Paid Time Off: Talkdesk offers an uncapped paid time off program for exempt employees and an accrual-based program for non-exempt employees; both are subject to manager approval and consistent with business needs.
Paid Holidays: Talkdesk offers 14 paid holidays each year.
Paid Sick Leave: Exempt employees have uncapped paid time off and non-exempt sick leave follows accrual standards; both are subject to manager approval and consistent with business needs.
Method of Application: Apply online.
Application Window: The application window is expected to close at least 7 days from the posting date. The application was posted on 5/1/2026.
Benefits and perks listed above may vary based on the nature of your employment with Talkdesk.
All questions or concerns about this posting should be directed to the Talent team at Talent@talkdesk.com.
Talkdesk is pioneering a new era of Customer Experience Automation (CXA), redefining how the world’s most admired brands interact with their customers through AI. Our global team of courageous innovators is customer-obsessed, building AI-first solutions that put empathy, trust, and transparency at the center of every interaction. We foster an inclusive culture where diverse perspectives drive our success and every voice belongs. Combining the stability of a global leader with the agility of a disruptor, Talkdeskers are empowered with the autonomy to drive meaningful impact, while giving back to the communities and environment around us.
Talkdesk has been recognized as a Leader in the Gartner® Magic Quadrant™ for Contact Center as a Service (CCaaS) and in the G2 Overall Grid® Reports for AI Agents and Contact Center. With seven consecutive years on the Forbes Cloud 100 and multiple AI Breakthrough awards, there has never been a more exciting time to join us as we shape the future of customer experience automation!
Work Environment and Physical Requirements:
Primarily office-environment work, extended periods of sitting or standing, computer-based work. Limited lifting, and equipment usage limited to computer-related equipment (keyboards, mouse, etc.)
The Talkdesk story hinges on empathy and acceptance. It is the shared goal among all Talkdeskers to empower a new kind of customer hero through our innovative software solution, and we firmly believe that the best path to success for our mission is inclusivity, diversity, and genuine acceptance. To that end, we will hire, promote, work along, cheer for, bond with, and warmly welcome into the Talkdesk family all persons without regard to ethnic and racial identity, indigenous heritage, national origin, religion, gender, gender identity, gender expression, sexual orientation, age, disability, marital status, veteran status, genetic information, or any other legally protected status.
Ready to apply?
Apply to Talkdesk
Senior Technical Sourcer, Software (Contract)
Share this job
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
We are seeking a dynamic and experienced Technical Sourcer to join our talent acquisition team. In this role, you will proactively identify, engage, and nurture top-tier technical talent to support our fast-paced, innovative environment. You will partner closely with fellow sourcers and recruiters to build pipelines for critical technical roles and help drive our company’s continued growth and success.
This role is open to 6 month contract. Location: Costa Mesa CA, Seattle WA, Boston MA.
WHAT YOU’LL DO
- Talent Identification: Utilize advanced sourcing techniques, market research, and social media platforms to uncover passive and active technical candidates.
- Candidate Engagement: Initiate and develop meaningful relationships with prospective talent through tailored messaging and personalized communication.
- Pipeline Development: Build and maintain robust candidate pipelines for various technical roles, ensuring a steady flow of high-quality candidates.
- Collaboration: Partner with hiring managers and recruiters to understand technical role requirements and align sourcing strategies with broader recruitment goals.
- Process Improvement: Analyze sourcing metrics and candidate data to refine and optimize sourcing strategies and workflows.
REQUIRED QUALIFICATIONS
- Experience: Minimum of 4 years in technical sourcing or recruiting, with a proven track record of hiring for technical roles.
- Technical Acumen: Understanding of modern technology stacks, software development processes, and technical skill sets.
- Communication Skills: Excellent written and verbal communication skills, with the ability to engage and influence candidates and stakeholders.
- Analytical Mindset: Proficient in using data-driven approaches to evaluate sourcing effectiveness and make informed decisions.
- Tool Proficiency: Familiarity with applicant tracking systems, LinkedIn Recruiter, Boolean search techniques, and other sourcing tools.
- Collaborative Spirit: Strong interpersonal skills, with the ability to work effectively in a team-oriented, fast-paced environment.
PREFERRED QUALIFICATIONS
- Startup, Tech, and Industry Expertise: Proven experience in startups, tech, or related fields such as AAV, UAS, AUV, Weapons, or similar programs.
- Tooling Experience: Expertise using Greenhouse, Gem, various AI tools, and LinkedIn Recruiter.
- Independent & Proactive: Highly self-sufficient with the ability to work autonomously and take initiative without requiring constant supervision.
- Resilient & Creative Problem Solver: Demonstrates flexibility in tackling challenges, quickly troubleshooting issues, and devising innovative solutions on the fly.
- Exceptional Communication: Communicates directly and succinctly, sharing information promptly to foster collaboration. Practices active listening and engages thoughtfully.
- Strong Sense of Ownership: Takes full accountability for their responsibilities and stays aligned with the business mission. Actively seeks opportunities to enhance company performance, even beyond their explicit role.
- Low Ego, High Curiosity: Values continuous learning over being right, embraces honest feedback, and views setbacks as opportunities for growth and improvement.
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
-
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.
-
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?
Apply to Anduril Industries
Senior Business Systems Analyst, Finance Systems
Share this job
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We are seeking an experienced Senior Business Systems Analyst to join our Finance Systems team at Anthropic. In this role, based on our recent go live on Workday Financials, you will serve as the internal functional lead for our Workday Financials,, owning the design and configuration of the Financial Data Model (FDM), Chart of Accounts, and dimensional structures that will serve as the source of truth for financial reporting. You will develop Prism Analytics and Accounting Center solutions, gather requirements and build reporting capabilities, and collaborate closely with cross-functional teams to drive the successful adoption of the Workday platform.
This is a critical role that will directly shape how Anthropic's finance organization operates as we scale toward public company readiness. You will work at the intersection of finance domain expertise and technical implementation, partnering with the implementation partner, engineering teams, and finance stakeholders to build a world-class financial systems foundation.
In this role, you will
- ERP Core Financials: Serve as internal functional lead for Workday Financials, partnering with partners to drive configuration decisions, validate designs, and ensure business requirements are met. Partner with consultants for Phase X / net new implementations.
- Financial Data Model (FDM) Design: Own the design and configuration of Chart of Accounts, Worktags, dimensional hierarchies, and Accounting Books that will serve as the source of truth for all financial reporting, ensuring support for both GAAP and Management reporting requirements
- Prism Analytics Development: Develop and maintain Prism/Accounting Center solutions from source analysis and ingestion design through build and testing,, including integration with external data sources like BigQuery and Pigment
- Requirements Gathering & Reporting: Gather business requirements from Finance, Accounting, and FP&A stakeholders, translating them into hands-on development of executive reporting, dashboards, and analytics solutions
- Workshop Participation & Solution Design: Participate in implementation workshops, challenge requirements, and translate business needs into buildable designs and testable acceptance criteria; manage defects and data quality issues throughout the project lifecycle for all implementations impacting Workday Record to Report (R2R)
- Cross-Functional Collaboration: Collaborate with Integrations, Security, and Financials configuration teams to align master data, journals, controls, and performance service level agreements; partner with Data Infrastructure and BizTech teams on system integrations
- Platform Expansion & Adoption: Work closely with engineering teams and business stakeholders to drive ongoing expansion and adoption of the Workday platform (e.g. bi-annual releases), identifying opportunities for process improvement and automation.
You may be a good fit if you
- Have 8+ years of experience in finance systems, ERP implementation, or business systems analysis roles, with at least 5 years of hands-on Workday Financials experience
- Possess deep expertise in Workday Financial Data Model (FDM), including Chart of Accounts design, Worktags configuration, dimensional hierarchies, and Accounting Books setup
- Have strong experience with Workday Prism Analytics, including data modeling, source integration, calculated fields, and report development
- Are skilled at translating complex business requirements into technical solutions, bridging the gap between finance stakeholders and technical implementation teams
- Have experience with full ERP implementation lifecycles, including requirements gathering, configuration, testing, data migration, cutover planning, and hypercare
- Possess strong understanding of financial accounting processes including General Ledger, multi-entity consolidation, intercompany accounting, and management reporting
- Have excellent stakeholder management and communication skills, with ability to work effectively with finance leadership, accounting teams, and technical partners
- Demonstrate strong analytical and problem-solving skills with attention to detail and commitment to data accuracy and integrity
- Are comfortable working in fast-paced, high-growth environments with evolving requirements and tight timelines
Strong candidates may also have
- Background in accounting, finance, or CPA certification with understanding of GAAP/IFRS reporting requirements
- Experience with Workday Accounting Center for complex journal automation and subledger accounting
- Technical proficiency with SQL, Python, or scripting languages for data analysis and integration support
- Experience integrating Workday with external data platforms such as BigQuery or cloud data warehouses
- Knowledge of SOX compliance requirements and internal controls for financial systems
- Experience with EPM/FP&A systems such as Pigment, Anaplan, or Adaptive Planning and their integration with ERP
- Prior experience at high-growth technology companies scaling toward IPO readiness
- Familiarity with Workday HCM and understanding of HCM-Financials integration points
- Experience with data migration tools, ETL processes, and reconciliation frameworks for ERP implementations
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process
Ready to apply?
Apply to Anthropic
Community Operations & Executive Escalations Manager
Share this job
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We are seeking an Operations Manager to build and lead a new pillar of our Platform Operations function: Community Operations & Executive Escalations. This role will stand up the team, processes, and infrastructure that protect Anthropic's reputation when high-stakes user issues surface on social media or arrive through executive channels. You'll own end-to-end escalation management - detection, triage, incident coordination, and resolution- across two distinct but related workstreams: brand-impacting conversations on public social channels and high-sensitivity inbound from Anthropic employees on behalf of users. The ideal candidate combines calm-under-fire incident judgment with the operational rigor to build durable systems.
Responsibilities:
- Hire, lead, and develop a high-performing team of Community Operations specialists, covering detection through resolution
- Build the function from zero: stand up social listening infrastructure, define escalation criteria and severity tiers, author the incident management SOP, and establish coverage hours and on-call schedules
- Own social monitoring across public channels - triaging brand mentions and running escalations to resolution
- Own executive escalations end to end: receive inbound from Anthropic executives on behalf of users, lead your team in quarterbacking investigation and coordinate remediation across partner teams
- Serve as the central coordination point during live escalations and drive public/private response decisions to closure
- Build clear operating models with cross-functional teams so every stakeholder knows exactly where to send an escalation and what happens next
- Define and report on success metrics (time to triage, time to resolution, escalation volume by source) and run post-incident reviews that feed learnings back into criteria and process
- Develop response templates and playbooks for common scenarios so the team can move fast without sacrificing quality or judgment
- Provide thoughtful coaching and feedback to your direct reports, and partner with them on their career development and growth
You may be a good fit if you have:
- 8+ years of experience in community operations, escalations management, or a related field - ideally in a consumer or developer platform environment
- 5+ years of people management experience, preferably in a fast-growing technology company
- Direct experience running incident or escalation workflows: you've been the person managing the channel, paging the on-call, and writing the post-incident report
- Familiarity with social listening tooling and the dynamics of how issues spread across public social platforms
- Excellent judgment under pressure in reading a fast-moving situation, separating signal from noise, and making calls with incomplete information
- Proven track record of building operational programs from 0 to 1: writing the SOP, defining the criteria, standing up the tooling, and then iterating as reality breaks your assumptions
- Strong cross-functional influence and ability to align teams around a shared plan in real time, even when incentives differ
- Clear, concise written communication - you can brief an executive in three sentences and document an incident so the next person can learn from it
- Comfort with ambiguity and a bias toward action; this team doesn't exist yet and you'll be defining what good looks like
- Excitement about protecting Anthropic's reputation and relationships at a moment when public attention on AI has never been higher
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process
Ready to apply?
Apply to Anthropic
Revenue Account Executive (Donor Fundraising)
Share this job
COMPANY PROFILE
Code.org is an education innovation nonprofit dedicated to the vision that every student in every school has the opportunity to learn about artificial intelligence (AI) and computer science (CS) as part of their core K-12 education. We increase participation in AI+CS education by reaching students of all backgrounds where they are — at their skill level, in their schools, and in ways that inspire them to keep learning, with a focus on increasing participation by young women and students from other underrepresented groups. The leading provider of K-12 AI+CS education curriculum across the globe, Code.org also organizes the annual Hour of AI campaign, building on the legacy of the Hour of Code, which has engaged more than 15% of all students in the world!
A unifying approach in a divided world
Code.org's global role in the K-12 computer science movement is only possible because we use a unifying approach across diverse and often divided stakeholders. At a time of increasing polarization, the idea of increasing opportunity for students unites people from across the political spectrum. Code.org's team members, students, teachers, and supporters have diverse and diverging view points, and they are all welcome in our mission. Read more.
JOB SUMMARY
The Revenue Account Executive will identify, cultivate, and close new funding partnerships with individuals, foundations, and corporations in support of Code.org’s mission to expand access to computer science education. This role will focus on driving new donor acquisition and converting high-potential prospects into long-term supporters. The ideal candidate is a proactive relationship-builder with a background in Philanthropy and Development who has proven experience finding, pitching, and building a new portfolio of sophisticated funders, and a passion for Computer Science, AI and educational equity. This position is critical to growing Code.org’s revenue base and ensuring the long-term sustainability of our programs.
DUTIES AND RESPONSIBILITIES
- Proactively identify and research new donor and partner prospects aligned with Code.org’s mission and priorities
- Build and manage a pipeline of qualified leads through outreach, referrals, and prospecting strategies
- Conduct discovery meetings and pitch conversations to understand prospect goals and align them with funding opportunities
- Collaborate with internal collaborators to develop compelling proposals, presentations, and donor materials
- Drive the full sales cycle from first touch through close, with a focus on multi-year, six-figure commitments
- Maintain accurate and up-to-date records in Salesforce, tracking all prospect interactions and pipeline stages
- Coordinate with development operations to ensure smooth gift processing, reporting, and stewardship
- Collaborate with Marketing, Programs, and Product teams to tailor donor messaging and ensure alignment with organizational priorities
- Represent Code.org at conferences, donor meetings, and industry events as needed
- Meet and exceed individual fundraising goals as agreed upon with the Head of Development
- Contribute to team-wide initiatives to diversify Code.org’s donor base and test new fundraising strategies
- Help establish scalable, repeatable outreach and pitch practices for future team growth
EXPERIENCE & QUALIFICATIONS
We seek candidates who have:
- 2–3 years of frontline nonprofit fundraising experience, including direct engagement with individual donors and cultivation of net-new donor relationships
- Demonstrated success managing a donor portfolio with individual gifts ranging from $25K–$100K
- Experience owning and delivering against annual fundraising goals of $1M+, with clear accountability for results
- Proven ability to manage the full fundraising cycle from prospect identification and cultivation through solicitation, stewardship, and close
- Excellent written and verbal communication skills, with the ability to tailor messaging to diverse audiences
- Strong interpersonal and relationship-building skills, with a consultative, donor-first approach
- Self-motivated, resilient, and comfortable navigating ambiguity in a fast-paced, passionate environment
- Strong organizational and time-management skills; able to manage multiple deadlines and priorities
- Demonstrated passion for education, equity, or technology
- Familiarity with philanthropic, corporate social responsibility, or nonprofit funding landscapes
- Experience using Salesforce or similar CRM to track progress and manage a pipeline
- Demonstrated ability to operate with significant independence and sound judgment in ambiguous or fast-changing environments
- A bias for action - comfortable starting, iterating, and learning rather than waiting for perfect information
- Intellectual curiosity about emerging trends in education, technology, and AI, with a track record of proactively staying ahead rather than waiting for direction
- Comfort with risk-taking and a healthy relationship with failure as part of the learning process
In addition, candidates must:
- Be a U.S. Citizen or Permanent Resident
- Work within the continental United States
- Pass a pre-employment background check
- Be willing to travel 10-20% of the time
WHO WE ARE LOOKING FOR
- Builder’s mindset. We’re looking for adaptable, result-driven team members who thrive in dynamic environments and can navigate shifting priorities with ease. In this role, you’ll embrace change, pivot strategies as needed, and drive impactful solutions that align with evolving business needs. If you excel in fast-paced settings and enjoy turning challenges into opportunities, we’d love to have you on our team!
- We are hard on problems and kind to each other. We stay focused on the challenge of bringing computer science to students and teachers globally. We recognize that each of us brings the best of our intentions to support our mission and give grace when we make mistakes.
- A growth mindset fuels us. We approach each challenge with curiosity. We give feedback kindly and candidly; we receive feedback openly. We learn from our mistakes and look for ways to increase the reach and impact of our work.
OUR APPROACH TO AI IN HIRING
At Code.org, we use AI thoughtfully and responsibly to support human-centered hiring. AI may help with administrative tasks, but every hiring decision is made by real people on our team. We welcome candidates to use AI appropriately in their job search while upholding our values of honesty and integrity throughout the process.
Read our full AI Use Policy in Hiring here.
WHAT IS THE INTERVIEW PROCESS LIKE?
Step 1: Informational Interview - learn more about the role and share your experience (30 minutes)
Step 2: Interviews with the Hiring Manager and members of the team (~2 hours)
Step 3: Take-Home Assignment (~3 hours)
Step 4: Panel Interview and Assignment Presentation (1 hour)
Step 5: Final Interview (1 hour)
Step 6: Reference Checks
All interviews are currently being conducted virtually via Zoom
TO APPLY
Our team will review all applications on an ongoing basis and if we believe your qualifications would make a great fit, we'll contact you to schedule an informational interview.
COMPENSATION & BENEFITS PACKAGE
The expected salary range for this position is $90,000 - $100,000. Most offers are on the lower end of the salary range and are at the company’s sole discretion based on the final candidate’s experience. This allows us to provide a fair and equitable approach to compensation when setting pay and maintaining internal pay equity. This role is eligible for performance-based incentive bonuses.
We also offer a comprehensive benefits package for full-time employees that includes:
- Technology subsidy consistent with our Bring Your Own Device environment
- Flexible, engaging, and remote working environment
- Paid time off: 5 weeks total, comprised of 3 weeks vacation annually, plus a 2-week winter break office closure (including Christmas and New Year's), and sick leave
- Medical, dental and vision premiums paid at 100% for FT positions and their dependents
- Option to participate in 403b retirement plan
- Annual professional development stipend
- The opportunity to help students learn better and change the face of computer science
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Ready to apply?
Apply to Code.org
AI Research Engineer
Share this job
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 an experienced research engineer to join our team. As a critical member of our interdisciplinary group, you will collaborate closely with AI scientists, engineers, and drug discovery experts to develop and deploy AI models that accelerate the identification and development of novel therapeutics. This role offers the opportunity to apply cutting-edge AI techniques in production settings to address pressing challenges in healthcare and contribute to improving human health globally.
We are particularly interested in candidates who have demonstrated experience building and delivering machine learning systems in industry environments, where rigor, scalability, and cross-functional collaboration are essential. The ideal candidate has experience translating research ideas into robust, production-ready solutions that drive measurable impact.
The role is open to the following locations: San Francisco Bay Area, Seattle
Qualifications
- Bachelor's degree in Computer Science, Engineering, or related fields; advanced degree preferred
- Minimum of five years of industry experience in AI, machine learning, or related roles, with a track record of implementing, scaling, and deploying AI models in production environments.
- Expertise with modern deep learning toolchains and experience with large scale model training.
- Strong understanding of deep learning fundamentals.
- Excellent problem-solving skills, with a keen eye for detail and a passion for tackling complex challenges in the life sciences.
- Effective communication and collaboration abilities, with the capacity to work effectively in a fast-paced, multidisciplinary team environment.
- Publication track record at conferences such as NeurIPS, ICML, or ICLR is a plus, though demonstrated industry impact is prioritized
- If you are a motivated individual with a passion for applying AI to advance drug discovery and improve human health, we encourage you to apply!
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.
Ready to apply?
Apply to Xaira Therapeutics
Location Details:
At GoDaddy the future of work looks different for each team. Some teams work in the office full-time, others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.
This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.
This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.
Join our Team...
Our team is a part of the Airo Growth and Innovation within GoDaddy, and we are looking to have a principal AI / machine learning scientist join this core Applied ML team. Our goal is to build and grow a community of ML scientists and engineers to learn, share and grow. We are committed to understanding all major business units very closely and we thrive to empower business results by leveraging AI and state-of-the-art ML algorithms.
This core Applied AI and Machine Learning team utilizes large-scale data to power various business areas, and our goal is to create cohesive navigation experience across channels and web pages, to help simplify and enhance the shopping experience for everyday entrepreneurs across the world to quickly find what they need on our website.
We are seeking a highly experienced AI/ML Scientist to lead research and development in Agentic AI systems and Reinforcement Learning (RL). This role focuses on designing intelligent agents capable of autonomous decision-making, planning, and reasoning in complex environments. You will work at the intersection of large-scale foundation models, multi-agent systems, and RL-based optimization, driving innovation for next-generation AI products.
What you'll get to do...
- Lead research and development of advanced Reinforcement Learning algorithms including policy optimization, hierarchical RL, and multi-agent RL systems.
- Design and implement agentic architectures that enable autonomous reasoning, planning, and sophisticated tool use.
- Pioneer the integration of Large Language Models with RL to create adaptive, goal-driven AI behaviors.
- Formulate hypotheses and conduct large-scale experiments to continuously improve agent performance and capabilities.
- Build sophisticated simulation environments for testing agentic behaviors and reward strategies.
- Leverage large-scale data to create cohesive navigation experiences that simplify shopping for entrepreneurs worldwide.
- Partner with product and engineering teams to translate breakthrough research into production-ready AI solutions.
- Mentor and develop junior scientists and engineers on RL and agentic AI best practices.
- Drive innovation across major business units by applying state-of-the-art ML algorithms to real-world challenges.
Your experience should include...
- Strong background in both machine learning/NLP and software development with hands-on Deep Neural Network experience.
- Proven expertise in Reinforcement Learning algorithms and autonomous agent design.
- Advanced algorithm design and programming skills in low-level languages (C++/Java) and scripting languages (Python/R/Scala).
- Experience working with live data including data cleaning, visualization, and modeling.
- Experience with distributed computing frameworks (Hadoop/Spark).
- Track record of solving meaningful real-world problems using principled ML techniques.
You might also have...
- PhD (Preferred) in Machine Learning, Artificial Intelligence, or related field with focus on Reinforcement Learning.
- Publications in top-tier AI/ML conferences (NeurIPS, ICML, ICLR, AAAI, ACL, etc.).
- Experience with multi-agent systems and game-theoretic approaches.
- Background in integrating foundation models with traditional RL frameworks.
- Contributions to open-source AI/ML projects or frameworks.
- Experience deploying ML models at scale in production environments.
- Track record of mentoring and developing technical talent.
We encourage you to apply even if your experience or skillset doesn’t align perfectly with every requirement. We value a wide range of backgrounds and transferable skills, and we are excited to support learning and growth.
About us... GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us.
At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that’s not enough to build true equity and belonging in our communities. That’s why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It’s the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.
We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way.
GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.
Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to myrecruiter@godaddy.com.
Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
GoDaddy doesn’t accept unsolicited resumes from recruiters or employment agencies.
Compensation & Benefits:
What We Offer:
Working at GoDaddy offers many benefits, including competitive pay, generous time off, parental and wellness leave, healthcare, retirement savings program, and much more. Offerings vary by location.
This role is eligible for a comprehensive benefits package, which includes medical, dental, and vision insurance, a 401(k)-retirement plan, paid sick time, paid flexible time off, paid parental leave, life insurance, short- and long-term disability, AD&D insurance, mental health or EAP programs, remote or hybrid work options, paid holidays, paid Wellness days, tuition assistance, adoption, surrogacy, and fertility benefits, dependent daycare and backup care benefits, Employee stock purchase plan, financial education and advice; and other benefits in accordance with GoDaddy’s benefit plans and applicable law.
Actual compensation and benefits eligibility will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.
Compensation:
The estimated pay ranges for this role are listed below. In addition to base pay, this role may be eligible for other forms of compensation, which may include a corporate bonus and/or equity awards, subject to the terms of applicable plans and individual eligibility.
Ready to apply?
Apply to GoDaddy
Senior Product Designer - Moloco Commerce Media
Share this job
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
Help shape the end-to-end experience of Moloco’s Commerce Media products by designing intuitive, data-informed workflows that enable retailers and merchants to unlock the full value of their advertising and retail media programs.
This is a senior IC role with meaningful autonomy and influence. You'll help shape the team's roadmap, navigate ambiguity, and partner closely with Product, Engineering, and other cross-functional stakeholders to craft experiences that directly drive business outcomes and growth for Moloco Commerce Media.
The Opportunity
- Define and iterate on core product experiences across Moloco Commerce Media — from advertiser-facing campaign management to retailer-facing admin tools — balancing usability with the realities of a complex, data-heavy product.
- Translate ambiguous, multi-sided problems into clear workflows, interaction patterns, and prototypes that move product strategy forward.
- Lead end-to-end design cycles from discovery through prototyping and shipped execution in close partnership with Product, Engineering, and Data.
- Push the product forward beyond where it is today by surfacing opportunities, advocating for new bets, and helping decide what we build next.
How Do I Know if the Role is Right For Me?
- Bring 6+ years of professional product design experience, shipping complex product experiences in B2B, analytics, fintech, or adtech/commerce platforms at scale.
- A track record of framing ambiguous problems and using research, data, and experimentation to refine solutions over time.
- Comfortable using AI across your daily design practice from discovery, ideation, to validation.
- Communicate clearly and proactively, using storytelling and prototypes to make complex concepts legible and align stakeholders.
- Collaborate effectively with cross-functional partners (Product, Engineering, Data) to balance user needs, technical constraints, and business goals to drive product quality and usability across complex and analytical surfaces.
- Strong interaction and product design craft, with a high bar for shipping production-quality work.
- Track record of working with or contributing to a design system, evolving patterns as the product matures.
- Passionate about mentoring other designers and contributing to strengthening the team culture.
- A growth mindset. You seek feedback often, change your mind when the evidence says to, take ownership of outcomes, and stay productive when priorities shift.
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.
Ready to apply?
Apply to Moloco
Product Support Specialist
Share this job
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role:
As a Product Support Specialist, you’ll be at the front lines of safely delivering AI to the world by responding to, investigating, and tracking user needs in your day to day. Additionally, you’ll help us identify – and close – gaps in our team’s technical knowledge, provide high-touch support to strategic customers, and demonstrate deep care for how we systematically support customers at scale.
Responsibilities:
- Become an expert in all Anthropic products
- Respond to user support cases with a variety of complexity, from questions for individuals to complex API debugging for large businesses
- Clearly and empathetically communicate with a wide range of user personas, context-switching between guiding executives in a high-touch model to assisting consumer users in a rapid pace
- Manage on-call tasks for high-urgency user issues with extreme ownership
- Prioritize critically and comfortably adapt to an ever-evolving product landscape
- Operate in ambiguity, making informed decisions even in never-before-seen situations
- Partner with engineers, teammates, and other internal stakeholders to diagnose and resolve user issues, both individually and at scale
- Suggest and drive improvements to increase user satisfaction through support processes as well as own initiatives that increase efficiency and drive down contact rates
- Uplevel our team’s technical knowledge by scoping gaps, working with cross-functional partners to deeply understand relevant nuances, and building resources that grow with our products
You may be a good fit if you:
- 3 - 5 years of relevant experience in technical product support in a high growth tech company, including API debugging, preferably in a second tier, escalated, or priority support team
- Are familiar with APIs and technical SaaS products and can deeply understand technical docs with ease
- Have demonstrated an ability to thrive in fast-paced, reactive situations while meeting core support metrics targets (e.g. CSAT, SLA, etc.)
- Possess strong user empathy and are expert in the lifecycle of a support case; you can read between the lines of a user’s question, put yourself in their shoes, and get at the heart of their needs for a speedy, satisfying resolution
- Have crisp but kind written communication skills and a deep care for the details
- Enjoy helping others learn about new features and complex concepts
- Experience troubleshooting SSO, SAML, and OAuth authentication flows
- Are persistent and curious; you delight in the hunt of tracking down a bug or issue, and are energized by fixing this for all similar users going forward
- Have experience contributing to the foundations of a support team – this is essential, highly valuable, but often unglamorous work
- Are proficient at working in a technical environment and are interested in Anthropic’s products
- Possess a deep sense of ownership, and are excited to help us build our team!
Strong candidates may also have:
While not required, we're particularly excited about candidates with one or more of these specializations:
- Comfort with command line interfaces and basic scripting (Bash, Python, JavaScript)
- Understanding of LLM capabilities, practical applications, and current limitations
- Familiarity with enterprise networking concepts and IT infrastructure
- Familiarity with Git workflows and version control concepts
- SQL proficiency for querying logs and investigating issues
- Experience supporting government or public sector customers, including familiarity with compliance requirements and security frameworks
- Background in team lead roles or managing contract/vendor support teams
We're hiring across a range of experience levels to build depth in both technical capabilities and enterprise support.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process
Ready to apply?
Apply to Anthropic