Doximity is transforming the healthcare industry. Join our mission to help every physician be more productive and provide better care for their patients. As the largest medical network in the United States, we carry an elevated level of responsibility in everything we do. We don’t take that responsibility lightly and are committed to building diverse teams with an inclusive culture that can make a direct impact on the healthcare system.

One of Doximity’s core values is stretching ourselves. Even if you don’t check off all the boxes below, we encourage you to apply. Doximity is full of exceptional people who bring their own unique experiences to work every day and make us all better for it!

Product Managers at Doximity drive the strategic direction of their team and are accountable for roadmap execution, while serving as the bridge between stakeholders. You’ll work with product, data, engineering, and design teams to gather requirements, create specs, and lead teams in developing products that matter.

This role is hybrid, which requires being in our San Francisco office 3 days a week: Monday, Tuesday and Thursday.

How you’ll make an impact:

• Own the mission, strategy, goals, and metrics to measure those goals
• Lead a cross-functional team of engineers, data analysts and designers in developing and supporting product initiatives
• Identify strategies to attract and engage physicians through social and career connections
• Set clear strategy, with audacious goals, providing the team with direction and inspiration
• Enthusiastically design tests, summarizing test results and building frameworks to make data-informed launch decisions
• Develop data-backed growth strategies & solutions that increase user delight and retention
• Design & run A/B experiments to quickly iterate towards key growth metrics
• Prepare detailed specs that meet user needs, create a positive user experience, and ensure the maximum benefit to the business
• Build consensus on strategy, design, and technical decisions

What we’re looking for:

• Deep empathy for clinicians and a strong interest in the profession and culture of medicine
• User-focused, with strong instincts for usability, workflow design, and intuitive product experiences
• Resourceful and outcomes-oriented; able to identify the core problem, prioritize effectively, and drive solutions across teams
• Comfortable operating in ambiguity and bringing structure to complex product problems
• Analytical and data-driven, with experience designing experiments and using data to guide product decisions
• Comfortable working directly with data and metrics to investigate user behavior, validate hypotheses, and uncover opportunities; SQL experience is a plus
• Collaborative and low ego, with experience partnering closely across engineering, design, data to deliver product outcomes
• 3+ years of product management experience in a fast-paced environment
• Able to work from our San Francisco office Monday, Tuesday, and Thursday each week

This role is not eligible for visa sponsorship.

Compensation 

The US total compensation range for this full-time position is $121,000 - $180,000 (inclusive of salary + bonus + equity). Our ranges are determined by role and level. The range displayed on each job posting reflects the approximate total target compensation for the position across the US. Within the range, individual pay is determined by factors including relevant skills, experience, and education/training. Please note that the compensation listed does not include benefits.

Benefits/Perks

Doximity is proud to offer industry-leading benefits to our full-time employees. Some of our offerings include:

• Medical, dental, vision offerings for you and your family
• 401k with matching program
• Family planning support, Childcare FSA, and parental leave
• Life, AD&D, and Disability
• Generous time off, holidays and paid company trips
• Wellness benefits…plus many more!

More About Doximity…

For the past decade, it’s been our mission to help every physician be more productive so they can provide better care for their patients. We believe that when doctors are connected, the healthcare system works better and patients benefit. Doximity enables our verified clinician members to collaborate with colleagues, stay up-to-date with the latest medical news and research, manage their careers, and conduct virtual patient visits. Today, Doximity is the leading digital platform for U.S. medical professionals, with over 80% of physicians, 50% of all nurse practitioners and physician assistants, and 90% of graduating medical students as members. 

Joining Doximity means being part of an incredibly talented and humble team passionate about improving inefficiencies in our $4.3 trillion U.S. healthcare system. We are a team of doers who solve problems everyday by treating obstacles like an adventure, and we love creating technology that has a real, meaningful impact on people’s lives. Doxers are committed to working towards a more equitable world both within and beyond our office walls. This starts by fostering an inclusive and diverse work environment where differences are valued and all employees are encouraged to bring their full, authentic selves to work daily. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. We’re growing fast, and there’s plenty of opportunity for you to make an impact—join us! For more information, visit Doximity.com.

____________________________________________

EEOC Statement

Doximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.

Doximity is transforming the healthcare industry. Join our mission to help every physician be more productive and provide better care for their patients. As the largest medical network in the United States, we carry an elevated level of responsibility in everything we do. We don’t take that responsibility lightly and are committed to building diverse teams with an inclusive culture that can make a direct impact on the healthcare system.

One of Doximity’s core values is stretching ourselves. Even if you don’t check off all the boxes below, we encourage you to apply. Doximity is full of exceptional people who bring their own unique experiences to work every day and make us all better for it!

Product Managers at Doximity drive the strategic direction of their team and are accountable for roadmap execution, while serving as the bridge between stakeholders. You’ll work with product, data, engineering, and design teams to gather requirements, create specs, and lead teams in developing products that matter.

This role is hybrid, which requires being in our San Francisco office 3 days a week: Monday, Tuesday and Thursday.

How you’ll make an impact:

• Own the mission, strategy, goals, and metrics to measure those goals
• Lead a cross-functional team of engineers, data analysts and designers in developing and supporting product initiatives
• Identify strategies to attract and engage physicians through social and career connections
• Set clear strategy, with audacious goals, providing the team with direction and inspiration
• Enthusiastically design tests, summarizing test results and building frameworks to make data-informed launch decisions
• Develop data-backed growth strategies & solutions that increase user delight and retention
• Design & run A/B experiments to quickly iterate towards key growth metrics
• Prepare detailed specs that meet user needs, create a positive user experience, and ensure the maximum benefit to the business
• Build consensus on strategy, design, and technical decisions

What we’re looking for:

• Deep empathy for clinicians and an interest in the profession and culture of medicine
• Proven track record driving product growth across web and mobile, with clear impact on key metrics (e.g., activation, engagement, retention)
• Highly analytical and data-driven; experienced running rapid experiments and optimizing funnels end-to-end
• Results-oriented, balancing bold growth bets with iterative improvements that reduce friction and increase conversion
• Strong bias for action; able to quickly turn hypotheses into shipped experiments
• Skilled at identifying growth opportunities through user behavior, data insights, and market trends; SQL experience is a plus
• Collaborative partner across engineering, design, data, and marketing to drive growth outcomes
• Experience working alongside growth marketers, with hands-on familiarity with the tools and metrics that drive acquisition, activation, and retention campaigns
• 3+ years of product management experience in a fast-paced environment
• Able to work from our San Francisco office Monday, Tuesday, and Thursday each week

This role is not eligible for visa sponsorship.

Compensation 

The US total compensation range for this full-time position is $121,000 - $180,000 (inclusive of salary + bonus + equity). Our ranges are determined by role and level. The range displayed on each job posting reflects the approximate total target compensation for the position across the US. Within the range, individual pay is determined by factors including relevant skills, experience, and education/training. Please note that the compensation listed does not include benefits.

Benefits/Perks

Doximity is proud to offer industry-leading benefits to our full-time employees. Some of our offerings include:

• Medical, dental, vision offerings for you and your family
• 401k with matching program
• Family planning support, Childcare FSA, and parental leave
• Life, AD&D, and Disability
• Generous time off, holidays and paid company trips
• Wellness benefits…plus many more!

More About Doximity…

For the past decade, it’s been our mission to help every physician be more productive so they can provide better care for their patients. We believe that when doctors are connected, the healthcare system works better and patients benefit. Doximity enables our verified clinician members to collaborate with colleagues, stay up-to-date with the latest medical news and research, manage their careers, and conduct virtual patient visits. Today, Doximity is the leading digital platform for U.S. medical professionals, with over 80% of physicians, 50% of all nurse practitioners and physician assistants, and 90% of graduating medical students as members. 

Joining Doximity means being part of an incredibly talented and humble team passionate about improving inefficiencies in our $4.3 trillion U.S. healthcare system. We are a team of doers who solve problems everyday by treating obstacles like an adventure, and we love creating technology that has a real, meaningful impact on people’s lives. Doxers are committed to working towards a more equitable world both within and beyond our office walls. This starts by fostering an inclusive and diverse work environment where differences are valued and all employees are encouraged to bring their full, authentic selves to work daily. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. We’re growing fast, and there’s plenty of opportunity for you to make an impact—join us! For more information, visit Doximity.com.

____________________________________________

EEOC Statement

Doximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.

Deadline to apply: None. Applications will be reviewed on a rolling basis. 

About the role

Benefits is a core expression of how we support Ants and their families, now and over the arc of their lives. Our Benefits function has scaled to a global program covering thousands of employees across multiple regions in just over two years, and we are now adding additional depth to match that breadth.

We are hiring a senior individual contributor to anchor a major piece of our global program. The role is shaped to fit the strongest candidate's regional expertise. You will primarily own one of two scopes:

• Americas: US health and welfare strategy, leading our evaluation of a potential move to self-funding, owning our Canada program, and stewarding readiness to extend benefits across the Americas as our footprint grows.
• International: End-to-end international benefits ownership across EMEA and APAC, leading new entity launches and managing the full program lifecycle in regions where Anthropic has a growing presence.

Both versions of this role share the same level, the same reporting line, and the same core competencies. We will identify which scope fits best during the interview process based on where your hands-on experience and strongest interests lie.

This is a builder role. You will design programs where infrastructure does not yet exist, run broker selections, negotiate carrier terms, and stand up audit-ready operations across multiple jurisdictions.

You will report to the Head of Benefits and partner closely with our Senior Benefits Partner.

Key responsibilities

Regardless of regional anchor, you will:

• Own end-to-end benefits program management for your region, including design, vendor selection, broker management, implementation, renewals, and the day-to-day employee experience
• Manage carrier and vendor relationships, holding them accountable to contracted service standards
• Partner with Payroll, People Operations, Legal, and Finance to keep programs compliant, well-administered, and auditable
• Triage and resolve escalations across time zones, including carrier disputes and claims advocacy
• Draft clear, compliant employee-facing communications for enrollment, renewals, and policy changes
• Bring benchmarking and market intelligence to bear on program design, with a clear point of view on what Anthropic should do, not only what the market does

If you anchor in Americas, you will additionally:

• Own US health and welfare program strategy across medical, dental, vision, life, disability, and ancillary lines
• Run the full annual US renewal cycle, including market strategy, carrier negotiations, and open enrollment execution
• Lead the evaluation and potential transition to self-funding, partnering with Finance on stop-loss structure, claims forecasting, and reserve modeling
• Own our Canada benefits program end-to-end, including renewals and provincial compliance
• Steward Anthropic's readiness to launch in additional Americas markets as our footprint grows
• Build finance-facing reporting: monthly claims analysis, PEPY and PEPM tracking, budget versus actual, and forward-looking projections in partnership with FP&A
• Own US compliance operations: ACA, ERISA, Section 125, non-discrimination testing, 5500 filings, and audit readiness

If you anchor in International, you will additionally:

• Lead end-to-end launches in new entity countries, from local-market scoping and broker selection through carrier negotiation, employee communications, and go-live
• Own the Benifex global platform rollout for assigned countries and ensure clean integration with Workday as the system of record
• Manage statutory and supplementary benefits across multiple EMEA and APAC markets, including pension, GLTD, GPA, and country-specific health and welfare programs
• Partner with the Head of Benefits to shape the international roadmap

Minimum qualifications

• Direct experience launching, redesigning, or financially stewarding a benefits program at scale
• Strong vendor and broker management skills, with a track record of holding carriers and brokers accountable to contracted terms
• Strong written communication and the ability to make nuanced tradeoffs legible to non-benefits stakeholders
• Comfort operating in ambiguity and building infrastructure where none exists

Preferred qualifications

• 7+ years of benefits experience, with deep regional ownership in either US health and welfare (with bonus for Canada) or international markets across EMEA and APAC
• A track record of using AI tools to make benefits operations, employee self-service, or stakeholder communications materially better
• Strong instincts for benefits as a strategic lever within total compensation, not as an operational cost center
• Cross-regional exposure beyond your primary anchor (e.g., a US benefits leader who has also stood up programs in Canada or internationally, or an international benefits leader who has owned US health and welfare for a US-headquartered company)
• Direct experience supporting or leading a self-funding transition
• Fluency with Workday and global benefits administration platforms (Benifex, Darwin, or similar)
• A track record of building benefits programs that hold up under audit, controls review, and external scrutiny

What You'll Do

We’re looking for a Contracts Counsel to lead drafting, review, and negotiation of a broad range of agreements. You’ll be a primary legal partner to several business teams, helping scale contracting processes, accelerate deal cycles, and manage risk with practical, business-friendly guidance.

Responsibilities

• Independently draft, review, and negotiate a wide variety of agreements, including master services agreements, statements of work, clinical trial agreements, consulting agreements, quality agreements, NDAs, SaaS/technology agreements, data processing/security addenda, and other vendor/commercial and/or research contracts
• Serve as day-to-day counsel to affiliates and cross-functional stakeholders (e.g., Procurement, Finance, Clinical, Quality, IT/Security, HR, and business teams), advising on contract structure, risk allocation, and negotiation strategy
• Triage contract requests and drive matters through intake, approvals, execution, and repository/CLM workflows; keep deals moving while maintaining consistency with company policies
• Identify and manage key issues (indemnities, limitation of liability, IP ownership/licensing, confidentiality, data privacy/security, insurance, termination, audit rights, subcontracting, compliance)
• Partner with InfoSec/Privacy and other SMEs to align contractual obligations with internal controls (e.g., security requirements, incident response, vendor assessments)
• Act as a strategic stakeholder in the development of processes, systems, and training to support contract lifecycle management
• Develop and maintain templates, fallback positions, playbooks, and process guidance; proactively spot patterns and reduce repeat friction in negotiations
• Support governance, audits, and reporting on contracting volume, cycle times, and risk trends; help train internal teams on contracting best practices
• Coordinate with outside counsel as needed and manage scope/costs

Where You'll Work

This is a hybrid role with in-office collaboration 2x per week in our San Francisco and/or Palo Alto Offices.

Who You Are

• J.D. from an accredited law school and active bar membership in at least one U.S. jurisdiction
• 4–6 years of relevant experience, including at least 2 years at a law firm, with substantial hands-on responsibility negotiating commercial contracts
• Preferred experience in life sciences/biotech/pharma and/or other regulated industries
• Have strong drafting/redlining skills and proven ability to manage negotiations independently
• Have willingness to use and incorporate AI tools on a routine basis
• Organized, responsive, and comfortable managing multiple priorities in a fast-paced environment
• Experience with contracts in the life sciences industry, such as sponsored research and clinical trial agreements
• Experience building contracting infrastructure (templates, playbooks, CLM workflows and tools) and partnering closely with Procurement

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

$150,000 - $225,000
Full-time / Onsite (5 days/week)

About the Role

Join Mochi Health as Senior Product Designer and help us create intuitive, user-friendly experiences that make healthcare more accessible and effective. You’ll work closely with our product and engineering teams to design interfaces that are both beautiful and functional. This role is perfect for someone who is passionate about design, eager to learn, and excited to contribute to a mission-driven company. This role reports to the Head of Design.

You’ll work with us on

• Distilling insights from user needs and drive research into clear product directions
• Designing and prototyping interfaces for current and future products
• Shaping the patient experience by defining and refining key interactions, working closely with our engineering team to  to push boundaries and deliver real value

You’ll flourish in this role if you

• Have worked in teams as a founding designer
• Experience leveraging Claude Code to build usable components
• Have owned the development of widely-used product features
• Consider yourself a high-agency generalist
• Turn designs into functional UI with a decent grasp of TypeScript, React, and CSS
• Thrive in a startup culture; resolving ambiguity and crystallizing what matters
• Care about building the best patient experience

Requirements

• 3+ years of experience in product design
• High proficiency in design tools; Claude Code, Figma & Framer and other AI tools
• Strong portfolio showcasing your work
• Demonstrated ability to work in a fast-paced, collaborative environment.
• Experience designing for both web and mobile platforms
• Strong understanding of design systems and creating scalable UI components.

Ideal Experience

• Experience designing for consumer, healthcare, or other regulated industries.

Life at Mochi 💫

At Mochi, we believe your best work happens when you feel your best—so we’ve designed an environment that fuels your creativity, supports your growth, and makes every day exciting.

✨ Comprehensive Health Coverage – Robust medical, dental, and vision insurance to support your health—so you can feel your best, in and out of work.

💰 Financial Security – Plan for your future with a 401(k) plus company matching and fully covered life insurance—because peace of mind matters.

🌴 Time to Recharge – Enjoy unlimited PTO, generous company holidays, and true flexibility. We trust you to take the time you need to rest, reset, and thrive.

🧘 Wellness First – From weekly mindfulness sessions to group workouts and fitness perks, your physical and mental health are top priority.

🥗 Daily Fuel – Our office is stocked with an unlimited espresso and matcha bar, plus delicious lunch served five days a week. No sad desk lunches here.

🌿 Connection & Community – We value real relationships. From team lunches and office hangs to offsite retreats, we create space to connect and collaborate.

🚀 High-Impact Work – Be part of shaping the future of digital healthcare during an exciting period of growth and innovation.

💸 Competitive Compensation – We offer a top-of-market salary and a generous equity package—because you deserve to share in the upside you help create.

👩‍💻 World-Class Team – Join a team of thoughtful, driven professionals across engineering, product, clinical, operations, and beyond—each bringing excellence and empathy to the table.

💣 Profitable & Explosive Growth – Our growth is like trying to drink from a firehose while riding a rocket, as we commit to decisions that ensure long-term success, stability, and the well-being of our team and customers—all without the constraints of VC funding.

📍 Prime Location – Our vibrant downtown San Francisco HQ is just steps from public transit, great coffee shops, and everything the city has to offer.

The base salary for this full-time position ranges from $180,000 to $225,000, in addition to equity and benefits. The salary range listed in each job posting represents the minimum and maximum targets for new hire salaries across all locations. Actual compensation within this range is determined by various factors, such as job-related skills, experience, relevant education or training, and location.

#LI-Onsite #LI-NE

About the Role

Together AI is building high-performance inference compute and the software platform around it. We’re looking for an early-career Data Warehouse Engineer with strong fundamentals and high growth potential to grow into a technical lead over time. You’ll contribute to designing and operating our data warehouse, ETL pipelines and orchestration, work on core data models and metrics, and help raise the bar on data quality and governance across the org — with mentorship and support from experienced engineers.

Requirements

• 0–4 years of professional experience (or strong internships/projects) working with data warehouses, pipelines, or analytics engineering.
• Solid SQL fundamentals — you’re comfortable writing queries and have some exposure to window functions or dimensional modeling concepts.
• Some hands-on experience with dbt or Airflow, or strong eagerness to learn — coursework and personal projects count.
• Basic Python for scripting and data tooling; any exposure to Spark (PySpark/SQL) is a plus.
• Familiarity with data modeling concepts like SCD2 or star schemas — even if only from coursework.
• Good communication skills: you can ask clarifying questions, explain your reasoning, and work with stakeholders to understand their needs.
• High standards for data quality, reliability, and maintainability — you care about getting things right.

Responsibilities

• Contribute to building and maintaining a medallion/curated data warehouse stack (bronze/silver/gold) for product, usage, billing, and operational data.
• Build and maintain Airflow orchestrated pipelines and dbt transformation projects (modular, tested, documented).
• Help design analytics-ready models: SCD Type 2, star schemas, and appropriate normalization for upstream canonical layers.
• Learn and apply Master Data Management (MDM) patterns (golden records, reference data, deduping, identity resolution).
• Implement data quality checks (freshness, nulls, referential integrity, distribution drift, anomaly detection).
• Contribute to data governance habits: data stewardship, ownership, SLAs, and clear definitions for “source of truth.”
• Help build and maintain a business semantic layer (consistent metric definitions, dimensions, and reusable logic) used by notebooks/BI.
• Partner with stakeholders (Product, Engineering, Finance, GTM, Ops) to translate questions into durable datasets and metrics.
• Use SQL, Python, and Spark where scale demands it; optimize for correctness, performance, and cost.

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.

Compensation

We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $130,000 - $170,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy  

About the Role

Together AI is building high-performance inference compute and the software platform around it. We’re looking for an early-career Data Warehouse Engineer with strong fundamentals and high growth potential to grow into a technical lead over time. You’ll contribute to designing and operating our data warehouse, ETL pipelines and orchestration, work on core data models and metrics, and help raise the bar on data quality and governance across the org — with mentorship and support from experienced engineers.

Requirements

• 0–4 years of professional experience (or strong internships/projects) working with data warehouses, pipelines, or analytics engineering.
• Solid SQL fundamentals — you’re comfortable writing queries and have some exposure to window functions or dimensional modeling concepts.
• Some hands-on experience with dbt or Airflow, or strong eagerness to learn — coursework and personal projects count.
• Basic Python for scripting and data tooling; any exposure to Spark (PySpark/SQL) is a plus.
• Familiarity with data modeling concepts like SCD2 or star schemas — even if only from coursework.
• Good communication skills: you can ask clarifying questions, explain your reasoning, and work with stakeholders to understand their needs.
• High standards for data quality, reliability, and maintainability — you care about getting things right.

Responsibilities

• Contribute to building and maintaining a medallion/curated data warehouse stack (bronze/silver/gold) for product, usage, billing, and operational data.
• Build and maintain Airflow orchestrated pipelines and dbt transformation projects (modular, tested, documented).
• Help design analytics-ready models: SCD Type 2, star schemas, and appropriate normalization for upstream canonical layers.
• Learn and apply Master Data Management (MDM) patterns (golden records, reference data, deduping, identity resolution).
• Implement data quality checks (freshness, nulls, referential integrity, distribution drift, anomaly detection).
• Contribute to data governance habits: data stewardship, ownership, SLAs, and clear definitions for “source of truth.”
• Help build and maintain a business semantic layer (consistent metric definitions, dimensions, and reusable logic) used by notebooks/BI.
• Partner with stakeholders (Product, Engineering, Finance, GTM, Ops) to translate questions into durable datasets and metrics.
• Use SQL, Python, and Spark where scale demands it; optimize for correctness, performance, and cost.

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.

Compensation

We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $130,000 - $170,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy  

About the Role

You’ll join the Data Platform team, responsible for building the backend services and “data products” that power how data moves through the company. We create the core platform primitives — high-quality event streams, reliable access layers, and developer-friendly APIs/tools — so teams across the org can self-serve what they need and ship faster. You’ll contribute to backend services that create value from our company data, and help make our data platform more self-serve so product and engineering teams can easily create and operate event-driven architectures, publish/consume streams, define access models, and ship data products end-to-end. You’ll also work on LLM-adjacent services such as prompt categorization/taxonomy, enrichment, and metadata systems that turn raw telemetry into trusted, usable products — with mentorship and support from experienced engineers.

Responsibilities

• Contribute to backend services that enhance the data platform’s capabilities (APIs, control planes, automation, governance).
• Help enable DIY workflows for teams across the company:

• • Define/publish events and schemas
  • Create/consume streams and subscriptions
  • Establish access models (authz, row/field-level controls where applicable)
  • Manage dataset/catalog metadata, lineage, versioning, and retention

• Contribute to end-to-end data products: ingestion → validation/quality → enrichment → serving (APIs/streams) → observability → adoption.
• Work on prompt categorization and enrichment services: taxonomy design, labeling workflows, classifier/rules integration, evaluation, drift/quality monitoring, and safe rollouts.
• Learn to own reliability: SLOs, alerting, performance/cost tuning, incident response, and postmortems.
• Partner cross-functionally with ML/LLM, infra, security, and product teams to define crisp contracts and deliver durable platform primitives.

Requirements

• 0–4 years building production or project-based backend systems (internships, coursework, and personal projects count).
• Solid fundamentals in at least one backend language (e.g., Go, Python, Java, Rust) and some exposure to API design (REST).
• Eagerness to own work end-to-end: design docs, implementation, testing, deployment, and iteration based on real usage.
• Strong engineering fundamentals: clean, maintainable code, thoughtful abstractions, and a desire to build systems that are easy to evolve.
• Basic data modeling and SQL skills, and some familiarity with at least one of:

• • Streaming/eventing (Kafka/PubSub/Kinesis, etc.)
  • Workflow/compute (Airflow/Spark/Flink/Trino, etc.)
  • OLTP/OLAP stores and data lakes (Postgres + warehouse/lake tech)

• AI augmentation curiosity:

• • You’re curious about how engineers use AI/LLMs to build software faster and better (e.g., coding copilots, agentic workflows, retrieval/knowledge grounding), and you’re eager to apply this to your own work.
  • You understand that AI tools can fail or create issues, and you’re thoughtful about when and how to apply them.

Nice to have

• Any exposure to self-serve platforms, developer tooling, or multi-tenant services.
• Coursework or projects involving LLM/AI products: prompt/response telemetry, eval datasets, embeddings/RAG metadata, model/tool traces, privacy-safe logging.
• Passion for good quality code, highly readable, SOLID principles, design patterns, Domain Driven Design.
• Awareness of security and governance basics: least-privilege access, auditability, data retention, PII handling.

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.

Compensation

We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $120,000 - $170,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy  

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

Discord's mission is to create a space where everyone can find belonging by enabling meaningful connections through voice, video, and text.

We're looking for a mission-driven Software Engineer to join our Core Product team. This team is responsible for shaping the heart of the Discord experience: how people chat, hang out, and express themselves every day.

As part of Core Product, you'll work on some of Discord's most heavily used surfaces, partnering closely with designers and product managers to take features from concept to launch. You'll build polished, high-impact experiences used by millions of people every day. This role is ideal for engineers who combine strong technical execution with product intuition—people who care deeply about user experience and aren't afraid to jump into unfamiliar parts of the stack to make something better.

What You'll Be Doing

• Building delightful products with a very high bar for quality, performance, and a focus on impact
• Working with Product, Design, Data Science, UX Research, and Marketing to shape the team's vision and roadmap
• Helping find the right solutions that balance delight, speed of delivery and impact by collaborating with design and product partners
• Taking ownership of projects end-to-end, from initial design through post-launch, with support from senior teammates
• Actively participating in team rituals including planning, code review, on-call, and retrospectives

What you should have

• You have 3+ years of experience as a Software Engineer
• You have specialized in building consumer-facing products on web and mobile platforms
• You have developed domain expertise in either web or mobile front-end (or both)
• You are eager to learn new languages and frameworks, and are comfortable working across the full stack when needed
• You have worked in a product team with clear metrics goals and had a measurable positive impact on customers
• You have a strong product sense and take pride in sweating the details of great UX

Bonus Points

• You are a Discord user, and understand the core features and flow of Discord communications
• You've worked on React Native products

The US base salary range for this full-time position is $160,000 to $180,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.

About the team 

The Capacity & Efficiency team sits inside Anthropic’s Compute organization and owns the cost, utilization, and attribution story for non-accelerator infrastructure — the network, compute, and storage backbone that moves petabytes between training clusters, inference fleets, and object storage across clouds and regions. The scale is real, the spend is large, and the efficiency levers are still mostly unpulled.

We work alongside the Systems Networking team (who build and operate the fabric) and the Observability team (who own the telemetry platform). This role lives at the intersection: you’ll use deep networking knowledge and rigorous measurement to figure out where and how bandwidth, latency, and dollars are being used, find optimization opportunities and land them.

About the role

We’re looking for a network engineer who thinks in metrics first. You understand spine-leaf fabrics, BGP, SDN overlays, and cloud interconnect products well enough to build them. You will instrument them, model their cost-per-bit, and squeeze out the inefficiency, while ensuring we can move the bits to the right places in the most efficient manner. You’ll own the observability and efficiency surface for Anthropic’s network: from per-flow telemetry on backbone routers, to cost attribution that tells a research team exactly what their checkpoint sync is costing.

This is a hands-on IC role. You’ll write code (Python, Go), build dashboards and model capacity. You’ll also influence architecture: when the data says a traffic pattern is pathological, you’ll be in the room root causing it and fixing it. 

You will be working across three areas: network telemetry, observability and cost modeling and attribution. We expect you to be strong in at least two and willing to grow into the third. If you're a telemetry-first engineer who's never built a chargeback model, or a traffic engineer who hasn't shipped eBPF probes, apply anyway and tell us which axis you want to grow on.

What you’ll do

• Build the network observability stack. Design and deploy telemetry pipelines — sFlow/IPFIX, gNMI streaming, eBPF host probes — that turn packet counters into per-flow, per-tenant, per-workload cost and utilization data. Own the SLIs for backbone and DCN fabric health.

• Hunt for efficiency. Analyze inter-region traffic patterns, identify hot links and stranded capacity, and quantify the dollar impact. Build the models that tell us whether we should buy more capacity, or move the workload.

• Own QoS and traffic engineering. Design and operate traffic classification, marking, and shaping across the backbone. Make sure bulk checkpoint transfers don’t starve latency-sensitive inference, and that we’re not paying premium cross-region rates for traffic that could take the cheap path.

• Drive cost attribution. Tie network spend — egress, interconnect ports, transit, optical leases — back to the teams and workloads that generate it. Make network cost a first-class input to capacity planning and workload placement decisions.

• Influence decisions you don't own. A large fraction of this role is convincing other teams to act on what your data shows: making the case to research that a traffic pattern needs to change, to finance that an interconnect tranche is worth buying, to Systems Networking that a QoS policy needs rewriting. You'll partner closely with Systems Networking on fabric architecture and Observability on telemetry platform integration, but the cost and efficiency wins will come from moving teams that don't report to you.

• Automate. Extend our intent-based network configuration systems and write the tooling that turns your efficiency findings into safe, reviewable, and impactful changes.

You may be a good fit if you

• Have 5+ years operating large-scale production networks — data center fabrics (spine-leaf, Clos), backbone/WAN, or hyperscaler-adjacent environments. 

• Are genuinely fluent across the stack: BGP (including policy and communities), ECMP, VXLAN/EVPN or equivalent overlays, QoS (DSCP, queuing, shaping), and L1/optical basics (DWDM, coherent, LAGs).

• Know at least one major CSP’s networking model deeply — AWS (VPC, TGW, Direct Connect, Gateway Load Balancer) or GCP (Shared VPC, Interconnect, Cloud Router, Network Connectivity Center) — and understand how their overlays interact with physical underlays.

• Have built or operated network telemetry at scale: streaming telemetry (gNMI/OpenConfig), flow export (sFlow, IPFIX, NetFlow), or eBPF-based host-side instrumentation. You can reason about sampling, cardinality, and storage tradeoffs.

• Comfortable writing Python or Go to build tooling, telemetry pipelines, infrastructure-as-code, config management for network devices and automation, that you’ll ship to production.

• Think quantitatively by default. You reach for a notebook or a Grafana query before you reach for an opinion, and you can turn messy counter data into a defensible cost model.

• Communicate crisply. You can explain to a finance partner why a 10% egress reduction matters, and to a network engineer why a specific ECMP imbalance is costing real money.

Strong candidates may also have

• SRE experience for large-scale network infrastructure — designing for reliability, defining SLOs/SLIs for network services, capacity planning with error budgets, and incident response for network-impacting outages at scale.

• Background on a cloud provider's networking team or a cloud networking product team — building or operating the interconnect, backbone, or SDN control plane from the provider side, not just consuming it as a customer.

• Familiarity with AI/ML infrastructure traffic patterns like collective communication (all-reduce, all-gather), checkpoint/weight transfer, inference serving, and how these stress networks differ than traditional workloads in terms of burst behavior, flow synchronization, and bandwidth symmetry.

• Experience with HPC fabrics like InfiniBand, RoCE v2, lossless Ethernet, or custom high-radix topologies and an understanding of how job placement, congestion management, and adaptive routing interact at scale.

• Background in traffic engineering for large backbones and the operational judgment to know when TE is worth the complexity.

• Hands-on time with multi-cloud connectivity: cross-cloud peering, private interconnect products, and the billing models that come with them.

• Experience building cost/chargeback systems for shared infrastructure, or FinOps exposure in a large cloud environment.

Representative projects

• Build a per-flow cost attribution pipeline that traces every byte of cross-region egress back to the team and workload that generated it

• Design QoS policy for the private backbone that prevents bulk checkpoint transfers from starving inference traffic

• Model whether it's cheaper to buy an additional 1.6Tb interconnect tranche or to re-route traffic through existing capacity

• Instrument DCN fabric utilization with streaming telemetry and build the Grafana dashboards that become the team's source of truth for network observability 

Why this role, why now

Anthropic’s network footprint is growing faster than our ability to reason about it. We’re turning up tens of terabits of private backbone capacity, peering across clouds, and moving model weights that keep getting larger. The efficiency opportunities are enormous and largely untouched — this is a chance to build the measurement and optimization layer from the ground up, with real budget impact and direct influence on how Anthropic’s infrastructure scales.

Responsibilities

• Support, administer, maintain IT systems supporting Quality and R&D, including Veeva Vault Quality, Clinical, RIM and Safety systems.
• Lead and oversee the migration of data and processes from legacy systems to Veeva (e.g., ZenQMS to Veeva Vault Quality) to ensure seamless transition, data integrity, and GxP compliance
• Partner with business leaders to understand their requirements and continuously improve user adoption and implement new systems, integrations, and GxP compliance initiatives
• Partner with Quality, Clinical, Regulatory, and Safety leaders to support business needs, implement roadmaps, identify, recommend solutions (e.g., Artificial Intelligence (AI)) to drive business value and accelerate innovation
• Work with Managed Service providers and internal IT teams for supporting and monitoring GxP-regulated systems to ensure high-quality service delivery
• Collaborate with CSV QA and compliance functions to validate and ensure alignment with regulatory requirements (e.g., GxP, HIPAA, GDPR)
• Establish governance, documentation, and change control procedures for GxP systems to ensure sustained compliance and operational excellence.
• Drive continuous improvement across the GxP systems landscape by assessing emerging technologies (e.g., AI) and optimizing workflows that support BridgeBio’s business strategy.

Where You’ll Work

• This is a local role and will require minimum 2 days in our San Francisco office. 

Who You Are

• Bachelor’s degree in information technology, Computer Science, Business Administration, or related field; advanced degree preferred
• 7+ years of progressive IT experience within biotech/pharma, including at least 5 years supporting Veeva Quality systems
• Demonstrated expertise in GxP Quality processes, including document lifecycle management, training assignment and compliance tracking, deviation, CAPA, and change control workflows, and inspection readiness. Ability to partner with Quality stakeholders to design, configure, and continuously improve Veeva Vault QualityDocs,
• QMS, and Training solutions in alignment with regulatory expectations (e.g., FDA, EMA) and company SOPs
• Hands-on experience administering and supporting Veeva Vault Quality systems including RIM, Safety and eTMF is strongly preferred
• Experience applying AI/ML and generative AI solutions within GxP environments to improve Quality operations, including use cases such as intelligent document authoring, metadata extraction, quality event trend analysis, and training effectiveness insights, with a strong focus on validation, auditability, data privacy, and integration with Veeva Vault platforms.
• Skilled in leading cross-functional collaboration across Quality, Clinical, Regulatory, and DSPV teams to ensure system alignment and process harmonization
• Experienced in vendor and Managed Service Provider oversight to ensure reliable, compliant, and high-quality system performance
• Strong communication, leadership, and stakeholder management skills with the ability to translate technical concepts into business outcomes

About the Role

Our Product Pricing & Monetization team sits at the intersection of product and commercial strategy, responsible for holistic pricing and packaging across Gusto's full product suite.

We're looking for a Senior Pricing and Monetization Manager to focus across our platform. portfolio including Gusto Payroll, Gusto Time management and HR, and our suite of embedded financial services for employers and employees. You'll collaborate closely with product, sales, marketing, data, engineering, and finance, with work that is visible to Gusto leadership.

What You'll Do

• Work in partnership across Product, Finance, Marketing, and Go-to-Market to review and recommend monetization and pricing strategies for new product launches and our existing portfolio.
• Be a world-class operator, owning and delivering on cross-functional projects and commercial go-to-market initiatives. In an AI-native environment, strategy, ownership, and execution goes broad. You will be asked to learn, adapt and grow your range of expertise.
• Help shift from a commercial strategy and operations function, to an AI-powered builder program. You’ll ship MVPs, Proof of Concepts, and pilots right into market.
• Decide, Build, and Monitor the key Pricing and Monetization KPIs across our product and go-to-market portfolio.
• Be the pricing and monetization expert and go-to-partner for Monetization and Commercial strategy.
• Work closely with key stakeholders such as: Product, Product Marketing, Sales, Data Science, and Finance. Products will have direct executive line-of-sight and direct impact to our product and business.

What We're Looking For

• Background in fintech, business banking, retirement, E-commerce, payroll, or HR back office SaaS
• Background in B2B / B2C Saas in Payroll, HR, Fintech, ECommerce or related field.
• An AI-native operator who can go from strategy to execution quickly, building Agents instead of processes. You’ll be an expert in Claude.ai, Claude Code, and Cursor.
• A strong analytical mindset with strong attention to detail and creative problem-solving ability. Able to use AI tools to conduct end-to-end technical data analysis.
• Executive relationship management and communication. You’ll be presenting and working on topics for our executives, board, and senior leaders across Gusto.
• Exceptional cross-functional stakeholder management and relationship-building skills. Your success will be defined by your ability to move a broad set of stakeholders towards a common goal.
• Clear, concise communicator, able to distill complex ideas for any audience
• Thrives in fast-moving environments; able to pivot quickly and manage competing priorities
• Curious, growth-oriented, and genuinely passionate about pricing

Nice to Have

• Experience developing and delivering pricing and go-to-market recommendations in product, marketing, finance, or consulting.
• Experience with technical pricing research, like conjoint or max diff analysis, or other quantitative research techniques. 
• Expertise in technical data analysis skills, like SQL, Python or R. Expect underlying foundation coupled with ability to use AI to execute.
• Familiarity with the latest AI tools to help with coding or data analytics tools such as Claude, Cursor, Gumloop

Compensation

Our cash compensation amount for this role is targeted at $152,000 - $180,000/yr in Denver, Phoenix, and Atlanta, and $180,000 - $218,000/yr for San Francisco & New York. The salary range for Toronto is CAD 133,000 - 160,000. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

#LI-Hybrid

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

MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 13,000+ customers including Duracell, Shell, Cintas, and Brenntag. We raised $150M in Series D funding led by Bessemer Venture Partners and Bain Capital Ventures, bringing our total funding to $254M. We were named to the Forbes 2025 Cloud 100, the definitive ranking of the top 100 private cloud companies in the world.

As Website Growth Manager, you will be responsible for ensuring our website delivers measurable growth in leads and product signups. You’ll own the strategy and execution for conversion rate optimization, personalization, and analytics — with a special emphasis on leveraging AI to accelerate insights and experimentation. You’ll partner with design, engineering, and product marketing to create high-performing landing pages, scalable infrastructure, and compelling messaging.

This role is ideal for a data-driven, AI-savvy marketer who thrives at the intersection of analytics, UX, and experimentation.

What you’ll do:

• Optimize the website for conversion by running A/B tests and implementing personalization, leveraging AI tools (e.g., Clay, ChatGPT, Claude) to accelerate insights and deliver tailored messaging.
• Partner with the SEO team to optimize website content for SEO, focusing on AI-driven search and product-led SEO, where applicable.
• Partner with design, product marketing, and demand generation on landing pages, site redesigns, and information architecture improvements to drive usability and conversions to leads and trials.
• Lead and prioritize the web development queue, balancing growth experiments, campaign support, and search optimization.
• Own website analytics and attribution: build dashboards, track conversions, and partner with Marketing Ops and engineering on reporting and funnel visibility.
• Integrate qualitative research (usability tests, heatmaps, surveys) with qualitative data, using AI-driven analysis to refine conversion paths.
• Ensure site quality, scalability, and performance through audits, monitoring, and AI-based anomaly detection.
• Recommend and manage tools for analytics, testing, personalization, and AI-enhanced web  marketing.
• Update and publish new content/web pages on Webflow.

About you:

• 4+ years in web or growth marketing, ideally in B2B SaaS.
• Proven track record running A/B tests and driving measurable conversion improvements.
• Strong ability to apply AI for personalization, content optimization, and data analysis.
• Hands-on experience with AI tools (e.g., Clay, ChatGPT, Claude, or similar).
• Proficiency with Webflow and Optimizely (or similar tools).
• Experience in web analytics platforms (GA4, Mixpanel, Amplitude) and attribution modeling.
• Knowledge of tracking and measuring AI search/chat traffic (referrals, click-throughs, attribution).
• Understanding of technical web performance (Core Web Vitals, page speed, SEO best practices).
• Experience collaborating with SEO teams to drive product-led SEO and optimize for AI-driven search.
• Familiarity with AI-first search standards like LLMs.txt and schema markup.
• Strong project management and cross-functional collaboration skills.
• Bonus: experience with AI-supported localization and multi-language web operations. Language skills in Spanish, French, and/or Portuguese.

What’s in it for you:

• Competitive salary and meaningful equity opportunities.
• Healthcare, dental, and vision coverage.
• 401(k) / RRSP enrolment program.
• Take what you need PTO.
• A Work Culture where:
• You’ll work alongside folks across the globe that reflect the MaintainX values, Smart Humble Optimist.
• We believe in meritocracy, where ideas and effort are publicly celebrated.

About us:

Our mission is to deliver one platform for maintenance, repair & operations teams to keep the physical world running. We believe the greatest asset in any organization is the people. That’s why we built an intuitive, mobile-first solution to help boost productivity and collaboration across teams and locations.

MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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.

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

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.

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 Vancouver 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 CAD. 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.

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.

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 New York 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.

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 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

• 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.

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

We are looking for a highly customer-obsessed, strategic, and execution-driven Product Manager to own key product areas across Workstream’s platform.

In this role, you will define your product area’s strategy, roadmap, and long-term vision—owning everything from customer discovery and hypothesis development to execution, iteration, and measurable business outcomes. You will be responsible for shaping the product story, setting north star metrics, and driving investments that improve how hourly businesses hire, manage, and retain their workforce.

This role is ideal for someone who thrives in fast-paced startup environments, loves spending time with customers, and combines strategic thinking with relentless execution. You will work cross-functionally across Engineering, Design, Sales, Customer Success, Business Development, and Leadership to identify opportunities, prioritize resources, and bring impactful products to market.

What You’ll Do

• Own product strategy, roadmap, and execution for a core Workstream product area
• Define product vision, north star metrics, and success criteria aligned with company priorities
• Spend significant time with customers, users, and customer-facing teams to identify patterns, pain points, and emerging market opportunities
• Partner closely with Sales, Customer Success, Business Development, and Operations to gather business requirements and translate them into scalable product solutions
• Build and manage relationships with strategic external partners (e.g. job boards, integrations, ecosystem partners) and continuously improve product capabilities through these partnerships
• Conduct market, competitive, and customer research to develop and validate product hypotheses
• Take a hypothesis-driven, experimentation-first approach to product discovery and iteration
• Write detailed product specifications, user stories, and UX requirements that enable high-quality execution
• Collaborate closely with Engineering and Design teams to ship products quickly while balancing speed, quality, and long-term scalability
• Be highly resourceful and pragmatic in solving customer problems—whether through automation, integrations, operational workflows, or lightweight solutions
• Drive alignment across Product, Engineering, Design, GTM, and executive stakeholders
• Present product strategy, roadmap progress, and business impact across all levels of the organization

What We’re Looking For

• 5-7+ years of Product Management experience, ideally in SaaS, growth, marketplace, or startup environments
• Experience utilizing AI to make you and your team more effective
• Understanding of AI landscape and tools
• Experience working in a fast-paced, scaling startup (typically <500 employees) or demonstrated ability to thrive in high-growth environments
• Proven track record of owning product initiatives from concept through launch (0→1) and iteration (1→N), incorporating both Go To Market and PLG motions
• Strong customer empathy and genuine enthusiasm for talking directly with users
• Excellent analytical, strategic, and hypothesis-driven problem-solving skills
• Exceptional written and verbal communication skills with the ability to influence cross-functional stakeholders
• Strong partnership skills across Engineering, Sales, Customer Success, Marketing, and Operations
• Ability to move quickly, prioritize effectively, and operate with resourcefulness in ambiguous environments
• Experience writing product specs, user stories, and translating business needs into product execution

Bonus Points

• Experience in growth product management or marketplace products
• Experience with HR tech, hiring, payroll, scheduling, workforce management, or local business software
• Familiarity with job board ecosystems, integrations, or external platform partnerships
• Experience working with offshore or distributed engineering teams
• Background in hourly work industries such as restaurants, retail, hospitality, or frontline operations
• Experience with one or more of the following product categories: HRIS, Payroll, Scheduling, Time & Attendance, or Hiring

What We Offer

• A mission-driven and value-based company dedicated to empower deskless workers and local businesses
• An early employee opportunity at a Series B hyper-growth startup; work with the founding team and industry veterans to accelerate your career
• Competitive salary and equity
• Comprehensive health coverage: medical, dental, and vision. We pay 95% of your premiums for our employees and 85% for dependents
• 401K Plan
• Pre-tax commuter benefits
• Flexible PTO

Location Requirements

While we are looking for the best talent globally, the ideal candidate will be based in the San Francisco Bay Area to collaborate closely with our HQ. We are also open to candidates in Vancouver and Utah who can effectively manage the travel requirements between our primary hubs.

Salary Range

In compliance with the California Pay Transparency Law, the base salary range for this role is between $150k to $170k base in San Francisco. This range is not inclusive of our discretionary bonus or equity package. When determining a candidate’s compensation, we consider a number of factors including skillset, experience, job scope, and current market data.

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We are looking for a Senior Staff Product Designer to join as the design lead for our Customer Experience team, reporting directly to the Head of Design. This is a player/coach role. You will carry significant IC responsibility while directly managing one Product Designer who is focused on load planning and exception management.

Your mandate is the end-to-end customer journey that makes autonomous freight a reality. You will design the suite of tools used by trucking and logistics companies to activate and manage daily operations for a fleet of self-driving trucks. While autonomous technology is genuinely new territory for our customers, your job is to design experiences that feel familiar, intuitive, and integrated into their existing ecosystems. This isn’t a SaaS dashboard exercise. These are high-stakes operational tools that a vehicle operator or load planner needs to adopt to safely run an autonomous truck.

In this role, you will

• Own the customer experience blueprint. Define how interactions with the Aurora Driver are consistent, simple, and unified with the broader operational ecosystem
• Design customer-facing digital tools across web, mobile, and partner integrations
• Do just enough research to generate actionable insight, then use it to drive product decisions, not decorate them
• Tie your work directly to outcomes. For example, ensure support feels like a natural part of the product by designing self-serve recovery paths that allow users to resolve issues in under 5 minutes
• Manage and develop one Product Designer, and contribute to raising the bar for the broader design practice

Required Qualifications

• 8+ years of experience in product design, with a track record of leading complex, multi-workstream projects
• Experience formally managing other designers
• A portfolio showing end-to-end work across research and design for complex enterprise, operational, or mission-critical systems, with clear evidence of business impact
• Expertise in interaction design, information architecture, and UX research with a high bar for visual design quality
• Exceptional written and verbal communication skills, with the ability to translate research insights and design rationale into clear, compelling narratives for executive, cross-functional, and technical audiences

Desirable Qualifications 

• Experience with autonomous technology, hardware-software integrated products, or physical supply chain logistics
• Demonstrated ability to use AI across the design lifecycle without losing judgment

The base salary range for this position is $189K-$274K per year.  Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

 #LI-SP1

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 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.

About the Role

Are you excited about redefining how brands plan, activate, and measure media in a world powered by data and AI? Do you love translating complex adtech and data concepts into clear, compelling stories for advertisers, agencies, and publishers?

We’re looking for a Senior Product Marketing Manager, AdTech to own the go-to-market strategy for Hightouch’s adtech solutions across our Composable CDP, Match Booster, and Agentic Advertising Studio product lines. In this role, you’ll be the connective tissue between our product, marketing, and sales teams and the broader adtech ecosystem, including executive leadership, adtech & martech teams, agencies, and media partners.

You’ll define positioning and messaging, develop thought leadership, launch campaigns, build sales enablement, and champion the voice of media buyers and media sellers across the company. If you’re a marketer who speaks the language of audiences, conversions, ROAS, and incrementality, and you’re energized by data and AI, this role is for you.

What You’ll Do

• Own the end-to-end go-to-market strategy and execution for Hightouch’s AdTech products, integrations, and industry solutions.
• Conduct customer, partner, and market research to identify unmet needs, quantify opportunities, and sharpen how our products win versus alternatives.
• Develop compelling competitive and category narratives around topics like signal loss, identity and audiences, measurement, and AI-driven media optimization.
• Create and refine differentiated positioning and messaging for key media buyer and media seller personas (e.g., advertising, product, and data teams).
• Translate complex technical capabilities (identity resolution, onboarding, clean rooms, conversion APIs, etc.) into clear, outcome-focused value propositions for prospects, customers, and internal teams.
• Build and maintain simple, repeatable messaging frameworks and battlecards that help Sales and partners win AdTech- and media-led deals.
• Create, maintain, and continually improve core GTM assets that bring our positioning to life, including website messaging, decks, and sales enablement materials.
• Drive creation of thought leadership and growth content, including case studies, product announcements, op-eds, and blog posts that showcase how Hightouch improves media performance and drives advertising revenue.
• Partner closely with Growth Marketing and Sales to develop and execute account-based programs that generate new pipeline and expand existing customers.
• Externally evangelize Hightouch and our AdTech story at field events, customer briefings, partner enablement sessions, and webinars.

What We’re Looking For

• Experience in advertising or adtech: 5+ years leading advertising go-to-market or working as a paid media practitioner (as a media buyer or seller).
• Product marketing or solutions ownership: 3+ years owning product marketing, solutions, or sales enablement for an AdTech offering (e.g., SaaS platform, agency solution, or enterprise-owned media solution).
• Enterprise B2B background: Experience marketing, selling, or solutioning for enterprise companies, ideally focused on marketing, advertising, or data teams.
• Deep media & AdTech subject-matter expertise: Strong understanding of modern media channels, data strategies, and technology across paid social, search, programmatic, CTV/OTT, retail media, and/or measurement. Fluency talking about pixels, audiences, conversions, identity, clean rooms, attribution, lift, and optimization strategies with both marketers and technical stakeholders.
• Proven go-to-market execution: Demonstrated track record driving go-to-market for technical products or solutions, including positioning, launch planning, content and asset creation, and cross-functional execution.
• Market and competitive insight: Experience researching customer needs and market dynamics in advertising and adtech, and using those insights to sharpen positioning and prioritize opportunities.
• Communication & storytelling: Excellent written and verbal communication with both technical and non-technical executive stakeholders. Ability to synthesize complex concepts into clear, concise narratives and assets (slides, one-pagers, talk tracks) that help Sales and partners sell.
• Cross-functional leadership: Comfortable driving alignment across Product, Sales, Marketing, and Partnerships, influencing without authority, and keeping projects moving in a fast-paced environment.

Bonus If You Have

• Direct experience running paid media campaigns or media sales teams.
• Experience with identity, data clean rooms, or measurement and analytics (MMM, MTA, incrementality testing, or experimentation frameworks for media).
• Previous experience in a high-growth startup where you’ve worn multiple hats and helped build GTM programs from 0 → 1.
• Familiarity with adjacent tools such as CDPs, data onboarding platforms, analytics tools, and data warehouses and lakehouses.

If you’re passionate about helping media buyers and sellers do their best work with data and AI agents, and you’re excited to shape how Hightouch shows up in the adtech ecosystem, we’d love to hear from you.

Compensaiton

The salary range for this position is $145,000 - $170,000 USD per year, which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation in the form of ISO options, and offer early exercise and a 10-year post-termination exercise window.

About The Role 

Hightouch is looking for a Sales Development Representative to join our rapidly growing team. In this role, you will be responsible for generating top of the funnel leads in addition to building foundational processes and strategies to the commercial sales team. You will be outbounding to engineers, marketers, and operation teams so we are looking for someone who is highly intelligent and also has the ability to connect with multiple audiences.

What You’ll Do 

• Outreach directly into prospective agents that fit our ideal persona via cold-calls, text, emails, integrated marketing campaigns, LinkedIn campaigns and other methods
• You work with the growth team to  research and craft personalized outreach to target accounts
• Find creative methods, channels, and strategies to help guide prospects to our free trial
• As part of our growing SDR team, help define and improve sales processes, strategies, tactics, and more
• You will be tasked with a goal and expected to execute against it on a monthly basis
• You will live in slack and monitor for new signups, engaging them directly in order to schedule meetings with them. Those meetings will be scheduled for with the sales org and the customer

What We're Looking For

• Bachelor's degree
• Be a Self-starter, ability to self-motivate in a high-growth start-up
• Effective communication skills, both written and verbal
• Prior experience engaging customers and prospects
• Interest in tech and more specifically data
• Ability to multitask, organize, and prioritize work

Even if your experience does not line up perfectly, we are still excited to have you apply. The best hires do not always check off every box of a job description.

Point72 Academy Investment Analyst Program for Upcoming Graduates (US)

We’re training the next generation of Point72 investors

The Point72 Academy Investment Analyst Program for Upcoming Graduates is a paid ten-month training program designed to introduce you to the buy-side and prepare you for a potential career as an analyst at Point72.

We’re looking for current students graduating between December 2026 and July 2027 to join our 2027 classes.

• After successfully completing the program, you’ll have the opportunity to join a network of more than 230 Point72 Academy graduates who we have placed at our firm, as of March 2026. If you are successfully placed as an analyst, you will have access to mentorship and professional development resources that can help you progress your career for years to come.

What you’ll do

Join us to learn the fundamental research and analysis skills needed to become an investment analyst at Point72, applying your intellectual curiosity in a role that prizes creativity, autonomy, and analytical rigor. The program begins in our New York City office with eight months of formal training followed by two months of rotations with Fundamental Equities investment teams or similar roles on our platform. Upon successful completion, you may have the opportunity to join an investing team as a full-time analyst.

• Develop sophisticated company analysis and modeling skills with guidance from our Academy faculty, investment professionals, and professors from some of the world’s leading universities.
• Learn statistics, accounting, financial modeling, data analysis, coding, and more.
• Complete a compliance training curriculum designed to prepare you for an analyst role.
• Apply the skills you’ve developed to real-life situations as you rotate with up to three investing teams.
• Work closely with our investment professionals, gaining firsthand experience and mentorship throughout your rotations.

Upon Successful Graduation: The Analyst Role

You may have the opportunity to become an equity research analyst at Point72, where you'll apply your financial acumen and curiosity to help shape your team’s investment strategies as you:

• Build and refine sophisticated financial models to help you understand the businesses you cover and how they are changing
• Perform company channel checks; attend industry events; build relationships with sell-side analysts and sales professionals; analyze data sets to develop investment theses – subject to the firm’s compliance policies and procedures
• Constantly develop your skills through coaching from your Portfolio Manager and by using the full breadth of the Professional Development resources available to you
• Conduct yourself with the highest levels of professionalism, integrity, ethics, and excellence

Who We're Looking For 

• We welcome students from all academic disciplines. Your field of study or major is not a determining factor; we seek individuals who can collaborate effectively, exhibit integrity, possess intellectual curiosity, demonstrate leadership potential, and express a keen interest in the financial markets.
• Students should have a high enthusiasm for the financial services industry. Interest in analyzing companies and looking at stocks is recommended given the project-based nature of this program.
• Candidates with excellent communication skills (verbal and written) and a high degree of self-motivation.

 We want you to apply if you are: 

• A current student who will graduate from university between December 2026 and July 2027.
• Fascinated by research and problem-solving, relentlessly curious, and constantly expanding your horizons.
• Committed to continued success in your academic and professional career with the highest levels of professionalism, integrity, and excellence.
• Commitment to the highest ethical standards.
• Highly self-driven and motivated to explore a career in finance.

What to expect:

• Your online application, essays, and resume will serve as an introduction to who you are as a candidate. Once submitted, we will begin reviewing your profile.
• Selected candidates will receive an email invitation to participate in a case study, allowing you to showcase your experiences and demonstrate your business acumen.
• Following submission and review of your case study, the next step is a series of virtual one-on-one interviews with various members of the Academy team, if selected.

About Point72

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.

We’re a firm that thrives on ideas, and we’ve found that the Point72 Academy has provided us with diverse viewpoints and perspectives. We can offer support in Academy Associates’ growth and development as analysts and portfolio managers.

For more information, visit www.Point72.com/working-here

There is no set application deadline for this position. Candidates are considered as they apply, until the program is at capacity. We strongly encourage you to apply and fulfill all requirements as soon as you feel ready to begin the hiring process. Please note, you may only submit one application to the Academy program globally, so please be sure to apply to the region you are most interested in.

Don't miss this opportunity to kickstart your career in the world of investing with Point72 Academy.

Please note that any use of GenAI is strictly prohibited when completing this application.

The U.S. annual base salary for this role is $125,000 (USD) which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring based upon geographic location, work experience, education, and/or skill level, among other things.

About the role

Anthropic is hiring a Lead for our Talent Development & Enablement team to help build the systems that help Ants (particularly managers) thrive. This is a build role: you'll partner directly with the team lead to think holistically about talent development across Anthropic, with a strong primary focus on the manager and leader audience.

You'll bring deep instructional design expertise, exceptional facilitation skills, and a strong point of view on how to grow people, and managers in particular, in an environment of unprecedented growth and change. You'll design across modalities (self-service, live virtual, in-person) and across audiences (new hires, ICs, first-time managers, experienced leaders, executives), and you'll treat AI as a chance to reimagine what talent development can be, not retrofit it onto what already exists.

This role suits someone who is energized by extreme ambiguity, ships fast, and wants to invent the playbook rather than execute someone else's. You'll be one of the first specialist hires on a new team, which means your point of view will shape what we build and how we measure success.

Key responsibilities

• Design and ship talent development experiences end-to-end — from needs analysis through facilitation and measurement 
• Build innovative, Claude-enabled learning experiences that Ants actually use and find valuable, across audiences and modalities
• Facilitate live sessions for managers and senior leaders, including workshops and offsites; flex into broader Ant audiences when the work calls for it
• Partner closely with cross-functional teams to integrate learning into the broader Ant and manager experience
• Develop a clear point of view on what makes Ants — and managers in particular — effective at Anthropic and design against that
• Make the work visible — clearly communicate the value, outcomes, and strategic relevance of programs to the broader organization
• Iterate rapidly based on feedback; ship a v1 in days or weeks, not quarters

Minimum qualifications 

• Deep experience in learning & development, instructional design, or organizational development at high-growth tech companies
• Have personally designed and shipped talent development programs at scale, with strong examples in manager and leader development specifically — built from first principles, not assembled from vendor content
• Are an exceptional facilitator with experience holding the room with senior audiences, including VPs and executives
• Have demonstrable AI/LLM fluency in learning design — you have built or shipped AI-enabled learning experiences and have a point of view on what AI changes about how people learn
• Can design across modalities (self-service, live virtual, in-person) and across audiences (new hires, ICs, first-time managers, experienced leaders, executives)
• Are energized by building from scratch in fast-moving, ambiguous environments and can name specific meaningful ships you delivered in short windows
• Can connect the dots across the full talent lifecycle and articulate how your work ladders up to broader company strategy

Preferred qualifications

• 8-10+ years in learning & development, instructional design, or organizational development at high-growth tech companies
• Experience building Claude- or LLM-powered learning tools
• Background in instructional design, adult learning theory, or organizational psychology
• Experience designing development programs for technical audiences (engineering, research) at the IC and manager level
• Experience preparing organizations and their managers for significant change (rapid scaling, role evolution, reskilling)

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 remote role

JR: 2026-7423

#LI-Remote

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. 

This role will partner closely with our Software and Design teams to define the vision and long-term strategy for Aurora's internal application ecosystem for Autonomy development. You will be responsible for the end-to-end product lifecycle of tools that empower our engineers and operations teams to build, test, and deploy autonomous vehicle technology at scale. By conducting deep user research and synthesizing complex requirements, you will transform technical capabilities into a cohesive product portfolio that accelerates our path to commercialization.

In this role, you will

• Architect Product Strategy: Define and champion a multi-year product vision and North Star for a portfolio of internal applications, ensuring alignment with Aurora’s broader commercial objectives.
• Drive Cross-Functional Collaboration: Act as the primary bridge between Engineering and Design to deliver high-impact products that maximize business value and optimize user workflows.
• Master the User Domain: Develop an empathetic, deep-seated understanding of the challenges inherent in AV development, including data visualization, ML labeling, and simulation lifecycles.
• Drive AI Adoption: Define and champion AI/agentic tools and workflows that accelerate development workflows
• Prioritize for Impact: Rigorously manage the product roadmap, balancing the immediate needs of internal stakeholders with long-term platform scalability and technical debt.
• Operationalize Feedback: Translate qualitative user insights and quantitative usage metrics into high-fidelity requirements and actionable user stories.
• Lead Through Influence: Navigate complex stakeholder environments to build consensus on timelines, trade-offs, and resource allocation.

Required Qualifications

• Proven Leadership: 7+ years in software product management with a track record of driving the strategy and execution of complex software ecosystems.
• Strategic Problem Solver: Exceptional ability to navigate ambiguity, create structured frameworks from "white space," and lead teams through organizational change.
• Influence & Communication: Ability to articulate a compelling product narrative and translate sophisticated concepts into clear, persuasive communication for executive leadership.
• Collaborative Excellence: Demonstrated experience leading high-performing, cross-functional teams (Design, Engineering, and Data) to deliver high-ROI products.
• Operational Fluency: Strong understanding of the software development lifecycle, particularly in ML-based software development, and the ability to identify and mitigate delivery risks.
• Technical Fluency: Ability to pick up deep technical concepts quickly to understand architecture risks and complexity trade-offs.

Desirable Qualifications

• Bachelor’s degree in Computer Science (or other technical education) or equivalent practical experience
• Experience shipping products 
• Experience with self-driving technology or other AI-based applications

The base salary range for this position is $187K-$262K per year.  Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

 #LI-SP1

Our Integrated Marketing team partners closely with product, product marketing, SEO/AEO, CMS, lifecycle marketing, paid media, and web publishing to bring our brand and campaigns to life across every customer touchpoint.

As we expand our search visibility, organic social presence, and cross-channel campaign execution, we are investing in thoughtful, research-backed messaging that supports acquisition, engagement, and brand authority in the legal tech space.

About your role

• As a Content & Social Marketing Intern, you’ll support high-volume copy production across lifecycle marketing, paid media, website/AEO updates, and organic social channels. This is an early-career opportunity ideal for someone building foundational skills in copywriting, content strategy, and social marketing within a fast-paced SaaS environment.
• You’ll collaborate closely with marketing managers, designers, and video partners to adapt messaging across formats, support social listening efforts, and contribute to research-backed content. You’ll gain hands-on experience translating brand voice into multi-channel marketing assets that support growth and visibility.

How you will make a difference day to day

Support Cross-Channel Copy Execution

• Create and adapt campaign messaging across email, paid media, social, and website formats.
• Draft copy for recurring marketing initiatives, seasonal moments, and GTM launches.
• Ensure consistency in brand voice across channels and asset types.
• Update situation-based landing pages as new guidelines and formats are established.

Support Organic Social & Community Engagement

• Assist with social listening and trend monitoring to identify timely content opportunities.
• Draft responses and engage in comments across social platforms.
• Research competitors and industry conversations to inform positioning.
• Contribute ideas for social series or content pilots aligned with growth goals.

Research & Operational Support

• Conduct research for positioning claims, survey data, and performance-backed messaging.
• Organize shared documents, content libraries, and workflow trackers.
• Document recurring marketing processes and content guidelines.

Cross-Functional Collaboration & Growth

• Collaborate with the design, social, web publishing, and SEO/AEO teams to understand campaign goals and channel requirements.
• Participate in creative reviews and feedback sessions.
• Learn how messaging supports SEO/AEO, paid performance, and organic growth strategies.
• Develop foundational skills in brand storytelling, performance marketing, and content optimization.

What you’ll need

• Currently pursuing or recently completed a degree in Marketing, Communications, Journalism, Social Media, or a related field.
• Strong written communication skills with attention to tone and clarity.
• Interest in copywriting, content strategy, and social media marketing.
• Ability to manage multiple small projects and meet deadlines.
• Comfort receiving feedback and iterating on written work.
• Curiosity about digital marketing, search visibility, and audience engagement.

A plus if you have 

• Basic understanding of social media platforms and other marketing channels like email, paid ads, etc. 
• Familiarity with tools such as Figma (for collaboration), Sprout Social, and Google Docs.
• Portfolio showcasing writing samples (academic, freelance, or personal projects).
• Interest in legal tech, SaaS, or educational content.

Interview Process

• Recruiter Phone Screen
• Role Assessment(s)
• Hiring Manager Interview
• Final Interview

About World Labs:

We build foundational world models that can perceive, generate, reason, and interact with the 3D world — unlocking AI's full potential through spatial intelligence by transforming seeing into doing, perceiving into reasoning, and imagining into creating. 

We believe spatial intelligence will unlock new forms of storytelling, creativity, design, simulation, and immersive experiences across both virtual and physical worlds.

We bring together a world-class team, united by a shared curiosity, passion, and deep backgrounds in technology — from AI research to systems engineering to product design — creating a tight feedback loop between our cutting-edge research and products that empower our users.

Role Overview

We are looking for a Platform Engineer to own Developer Infrastructure at World Labs.

This is a high impact systems role focused on build systems, testing infrastructure, and release and rollout pipelines, the critical path that determines how code moves from local development to production.

You will define and operate the systems that make our engineering organization fast, reliable, and scalable, in an environment where both the codebase and workloads are evolving quickly.

You will be responsible for the architecture and operation of the systems that power developer velocity and production safety, making foundational decisions around build performance, dependency structure, test execution, and release reliability.

This role is about turning complex, failure prone workflows into systems that are fast, correct, and reproducible, and setting the technical direction for how we build and ship software.

This is a hands on role. You will design, build, and operate these systems directly.

What You Will Do:

• Own the design and evolution of the build, test, and release systems that power the platform.
• Define architecture for a Bazel based monorepo, including performance, caching, and dependency graph scalability.
• Improve build performance and correctness, including incremental builds, caching strategies, and graph optimization.
• Design and operate test infrastructure, focusing on reliability, isolation, and signal quality.
• Build and improve release and rollout systems, including deployment pipelines, canarying, and rollback.
• Improve end to end developer velocity, from local iteration to production deployment.
• Debug and resolve complex issues across the pipeline, including build failures, dependency issues, test flakiness, and release regressions.
• Establish standards for reproducibility, observability, and operability across build and release systems.
• Identify and eliminate systemic failure modes across the development lifecycle.
• Contribute broadly across infrastructure and reliability work when needed.
• Mentor engineers and raise the bar for system design and technical decision making.

Key Qualifications:

• 5-10 years of experience building and operating production systems at scale, with ownership of critical infrastructure.
• Strong experience with build systems and dependency graphs such as Bazel, Buck, Pants, or similar, or the ability to quickly ramp on Bazel in a large monorepo environment.
• Experience designing and improving build, test, and release pipelines, with a focus on performance, correctness, and reproducibility.
• Strong systems understanding of how code moves from source to build to test to production.
• Hands on experience debugging complex system issues, including build failures, dependency issues, test flakiness, and release regressions.
• Experience owning systems with strict reliability and performance requirements.
• Strong proficiency in at least one of Python, Go, or Rust, with a strong preference for Python
• Comfort working across languages in a polyglot codebase.
• Proven ability to define architecture and drive technical decisions end to end.
• Strong judgment in balancing developer velocity, system complexity, and reliability.
• Ability to operate effectively in ambiguous, fast moving environments with high ownership.
• You have worked on systems where build performance, correctness, and reproducibility were first order concerns, not afterthoughts.
  
  

Preferred Qualifications:

• Deep experience with Bazel at scale, including remote caching, remote execution, and build graph optimization.
• Experience designing hermetic and reproducible build systems.
• Experience improving test infrastructure at scale, including eliminating flakiness and improving signal quality.
• Experience building or operating release and rollout systems, including canarying, staged rollouts, and rollback mechanisms.
• Experience instrumenting systems for observability and debugging of build, test, and release pipelines.
• Experience in early stage or high growth environments.

Who You Are:

• Fearless Innovator: We need people who thrive on challenges and aren't afraid to tackle the impossible.
• Resilient Builder: Impacting Large World Models isn't a sprint; it's a marathon with hurdles. We're looking for builders who can weather the storms of groundbreaking research and come out stronger.
• Mission-Driven Mindset: Everything we do is in service of creating the best spatially intelligent AI systems, and using them to empower people.
• Collaborative Spirit: We're building something bigger than any one person. We need team players who can harness the power of collective intelligence.

We're hiring the brightest minds from around the globe to bring diverse perspectives to our cutting-edge work. If you're ready to work on technology that will reshape how machines perceive and interact with the world, World Labs is your launchpad.

Join us, and let's make history together.

Equal Opportunity & Pay Transparency

Equal Employment Opportunity

World Labs is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other characteristic protected under applicable law. We welcome all qualified applicants and are committed to providing reasonable accommodations throughout the hiring process upon request.

California Pay Transparency

In accordance with California law, we disclose the following:

At Asana, we're building AI-powered work management software to help every organization in the world become more effective in working together and realizing their goals. Hundreds of thousands of global teams rely on Asana to orchestrate their work — from everyday tasks to the most strategic company initiatives.

As Asana evolves into a platform where humans and AI agents work together, customers need products that are both more connected and more trustworthy. They need clear ways to extend Asana through APIs, integrations, and developer tools, along with clear controls for who can access information, what people and agents are allowed to do, and how that access is governed across teams, tools, and workflows.

We’re looking for a Product Director, Platform & Ecosystem to lead two closely connected areas at Asana: Ecosystem and Sharing & Permissions. In this role, you’ll define the strategy for the APIs, developer platform, integration rails, and strategic integrations that extend Asana beyond our own UI, as well as the access controls, roles, delegation, and governance capabilities that make collaboration secure and enterprise-ready. You’ll help make Asana more open and extensible without compromising trust, governance, security, or clarity.

What you’ll achieve

• Define the vision, strategy, and roadmap for platform capabilities that make Asana more extensible and enterprise-ready, from APIs and integration rails to permissions, roles, and governance.
• Lead teams building the developer platform, integration foundations, and strategic integrations that help customers, partners, and internal teams connect Asana to the rest of their stack. 
• Shape how humans, applications, and AI agents securely access information and take action across core work objects and collaboration surfaces.
• Partner closely with teams responsible for admin experiences, enterprise governance, security, and platform foundations to deliver systems that are powerful, understandable, and safe by default.
• Balance long-term platform architecture with near-term product delivery, migrations, customer needs, and execution across a broad surface area.
• Directly manage ~4-5 direct reports and oversee the strategy and execution of five R&D teams.

This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.

About you

• You have proven experience in product management (10+ years), including one or more of the following areas: platform, APIs, developer products, integrations, enterprise B2B, security, governance, or other systems-heavy domains.
• You are comfortable operating in complex enterprise environments with security, compliance, governance, and interoperability requirements.
• You are a strong cross-functional leader who can align engineering, design, research, data science, GTM, and executive stakeholders around hard tradeoffs.
• You are a clear, rigorous communicator who can simplify complex concepts for both technical and non-technical audiences.
• You are curious about AI tools and excited by the product implications of more agentic ways of working.

What we’ll offer

Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.

For this role, the estimated base salary range is between $297,000 - $350,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.

In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role.

We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:

• Mental health, wellness & fitness benefits
• Career coaching & support
• Inclusive family building benefits
• Long-term savings or retirement plans
• In-office culinary options to cater to your dietary preferences

These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role.

Please note this role is cross-posted in Vancouver. 

#LI-Hybrid

About the role

Anthropic is building Treasury with scale and automation in mind from the start. We're creating modern, well-controlled processes that can grow with the business; supported by strong systems, clear governance, and practical use of AI-enabled tools. We're designing touchless, AI-native workflows from day one, with SOX-grade controls built in rather than bolted on.

This role reports to the Treasury Ops Lead and plays a central part in building and running the company's Treasury Operations foundation. You'll manage core activities: daily cash positioning, global bank account administration, intercompany funding, payment controls, and Treasury reporting - while improving processes so the function scales efficiently as the company grows.

This is a hands-on role for someone who enjoys both execution and process building. You should be comfortable running key day-to-day activities while identifying opportunities to improve, automate, and strengthen controls.

You'll be the second person in a Treasury Ops function at a company that's growing fast and building deliberately. The processes you design in your first six months are the ones the company runs on at 10x scale. The ownership is end-to-end, and the toolkit is ours - you'll design Treasury workflows that are AI-native from the first draft, the way only Anthropic can.

What you'll do:

Core Treasury Operations

• Manage daily cash positioning across entities and currencies, including tracking balances and consolidating cash activity

• Lead global bank account management; account opening and closing coordination, signer updates, KYC documentation, and portal administration

• Help design and manage intercompany settlement and funding processes, including documentation and ongoing improvement

• Maintain short-term cash forecasting, including variance tracking and reporting

• Support payment workflows and controls; approval routing, exception handling, operational process improvements

• Support Letter of Credit and Bank Guarantee issuance and post-M&A Treasury integration activities

Systems & Automation

• Support TMS implementation, bank connectivity, reporting enhancements, and process standardization

• Design the "Claudification" layer: identify which workflows go touchless, build the automation, keep humans in the decisions that need judgment

• Partner with Finance Systems to simplify and automate Treasury processes

• Own Treasury data quality - the source of truth that everything downstream depends on

Controls & Governance

• Execute Treasury processes with strong focus on controls, documentation, segregation of duties, and audit readiness

• Support development and maintenance of Treasury policies, procedures, and control documentation

• Document Treasury controls for SOX readiness; not as a separate project, but as how the work gets done

• Partner with Accounting on close activities, reporting, and audit requests

What we're looking for:

• 5–8 years in Treasury operations, ideally at a growth-stage or scaling company where you saw processes get built, not just inherited

• You currently own the daily cash position. You log into the bank portals, you run the position, you execute the wires. This is a doing role, not a managing role

• Treasury-native depth. You came up through Treasury; TMS, KYC mechanics, bank account administration, cash positioning judgment. This isn't a payments-processing seat; it's a Treasury seat

• Player-coach DNA. You still do the work; run the cash position, chase the KYC doc, troubleshoot the wire - while building the system so nobody has to do it manually next quarter

• Hands-on TMS experience. You've worked in a Treasury Management System (Kyriba, GTreasury, Trovata, Quantum, or similar): configured it, broken it, fixed it. Implementation experience is a plus but not required

• SOX in your DNA. You think in audit trails, approval chains, and segregation of duties; not because compliance makes you, but because well-controlled processes are the ones that scale

• Comfort with ambiguity. There's no playbook here. You'll write it

• AI-first mindset. Not a prompt engineer; a Treasury person who wants the model handling data so you can focus on decisions.

Strong candidates may also have:

• Exposure to SOX readiness or IPO prep, even as a contributor

• Multi-entity, multi-currency operations background

• Worked with bank APIs or Treasury aggregators (Trovata, Kyriba, or direct connectivity)

• APAC or EMEA bank account opening experience

Tax Planning Senior Manager

The Global Tax Team is seeking a dedicated tax professional who will play a hands-on role in a growing tax function. As Reddit continues to mature as a public company, this person will play a critical role in our strategic tax planning function, acting as a high-impact advisor to Finance and other cross functional teams. In keeping with Reddit values, the successful leader in this role is someone who operates with an open mindset and “values the human” in all interactions. This position will report to the Global Tax Director.

 Responsibilities:

• Lead the Company’s tax planning strategy and execution
• Own the global cash tax and ETR forecasting process and collaborate with Finance partners to model tax impact of business trends.
• Drive efforts to maximize tax incentives and mitigate risk
• Oversee global tax due diligence for M&A transactions and partner with Corporate Development team to model deal structures and manage post-acquisition integration
• Review and negotiate commercial agreements for tax terms and indemnifications
• Assist the provision team with preparation of quarterly and annual income tax provisions
• Design and implement tax process improvements/tax automation
• Monitor global tax legislative developments and research tax laws and policies to evaluate their tax impact
• Collaborate with business partners on ad hoc projects and provide guidance on tax related matters

Qualifications:

• Bachelor’s Degree in Accounting, Finance, or related field required, masters in tax (MST or LLM) preferred
• JD and/or CPA required
• 9+ years of corporate tax experience with at least 5 years of public accounting experience. Must have in-house experience, preferably in the tech sector
• Demonstrated expertise in accounting for income taxes, M&A and deal review processes, and US international tax regulations
• Proficiency in Excel, MS Office, and Google Workspace (e.g. Google Sheets and Slides) required, experience with Alteryx a plus
• Able to work independently under time pressure, prioritize a high workload, and meet strict deadlines
• Possess excellent attention to detail, organizational, problem solving, and prioritization skills 
• Excellent verbal and written communication skills and the ability to work collaboratively across teams in a remote environment
• Team player with a positive attitude and open mindset, not afraid to roll up your sleeves and work in a dynamic environment

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave 

At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love. Our Finance & Accounting team plays a critical role in powering that mission—ensuring growth is responsible, scalable, and future-focused. We’re looking for a strategic, collaborative, and technically strong Director of Accounting, Revenue Recognition to ensure ASC 606 compliance and lead our revenue processes in a dynamic, cross-functional environment.

What you’ll do:

• Oversee Pinterest's global revenue recognition and sales contract processes, ensuring accurate and timely revenue recognition in compliance with ASC 606.
• Develop and maintain global revenue recognition policies, SEC disclosure and related SOX controls to reflect changes in our business, GAAP or SEC guidance.
• Serve as the subject matter expert and primary contact for all technical revenue recognition matters, collaborating with Sales, Product, Engineering, IT, Finance, and Customer Support to align processes with business objectives and regulatory requirements and ensure compliance with Pinterest’s revenue recognition policies.
•  Responsible for technical accounting research and memos to document revenue recognition conclusions and other technical accounting positions in support of key financial disclosures related to revenue.
• Train cross-functional teams on revenue recognition and related topics, ensuring clarity and consistency across the organization.
• Responsible for informing and training the revenue accounting team of new revenue accounting arrangements to ensure accurate bookings in the general ledger and reviewing results for accuracy. 
• Partner with Order Management, collections, payment & risks and accounting teams to proactively identify risks, address contract nuances, and implement best practices.
• Serve as the primary liaison and main point of contact with internal and external auditors to facilitate efficient audit processes and respond to technical queries on revenue.
• Analyze revenue trends and metrics to generate actionable insights that inform strategic decision-making and support business growth.
• Champion continuous process improvement and automation initiatives to scale operations in a fast-paced environment.
• Use AI to to accelerate technical research, memo drafting and operationalize new GTM initiatives.
• Explore using AI tools, craft smart prompts, evaluate AI outputs.

What we’re looking for:

• Our PinFlex future of work philosophy for this Accounting organization requires this role to visit a Pinterest office for collaboration up to 2 times per month. 
• Deep technical expertise in ASC 606 and related accounting guidance and external disclosure guidance  along with the ability to research and evaluate complex accounting rules and contract structures, assess and evaluate developing accounting issues or changes in rules or regulations to ensure the company is prepared for any such changes in advance; Internet advertising experience preferred.
• Impeccable verbal and written communication skills—able to distill complex accounting concepts for a variety of audiences, including senior leadership and cross-functional stakeholders.
• Strong collaboration skills and a track record of building effective partnerships with cross-functional teams (e.g., Sales, Product, Engineering, IT, Finance, Customer Support).
• Demonstrated experience using AI to accelerate technical research or accounting operations.
• Demonstrated executive presence, critical thinking, and problem-solving ability.
• Bachelor’s degree with 5+ years of progressive accounting experience, or minimum 10+ years of experience in revenue recognition or technical accounting roles with a minimum of 3 years in public accounting. National office or technical advisory roles and experience with ad or platform technology company experience are pluses. Certified public accountant preferred.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
• This role will need to be in the office for in-person collaboration 1-2 times every 6-months and therefore can be situated anywhere in the country. 

#LI-REMOTE 

Available Locations: Austin, Texas

About the Role

The Senior Director of Developer Product Marketing is the strategic lead for how Cloudflare’s developer platform is perceived and adopted in the global market. While our Product Managers build the "what," you own the "why," the "who," and the "how we win." You will lead the team responsible for defining the narrative for Workers, Workers AI, R2, and the broader developer ecosystem, ensuring our story resonates with everyone from solo builders to CTOs at Fortune 500 companies.

In this role, you will move beyond tactical growth loops to focus on the core tenets of Product Marketing: Positioning, Go-To-Market (GTM) Strategy, Market Intelligence, and Sales/Field Readiness. You will be the primary bridge between a highly technical Product organization and our global Sales, Marketing, and Developer Relations teams.

What You Will Do

• Strategic Positioning & Messaging: Define the category-level narrative for the Cloudflare Developer Platform. Create high-impact positioning that differentiates our "Connectivity Cloud" from legacy hyperscalers and niche compute providers.
• Go-to-Market Orchestration: Lead the end-to-end GTM strategy for new products and major feature launches. You will orchestrate the transition from "feature ready" to "market ready," ensuring all internal and external channels are aligned.
• Market & Competitive Intelligence: Act as the "outside-in" voice for the developer organization. Conduct deep competitive analysis and market research to influence the product roadmap and arm our field teams with "how to win" battlecards.
• Field & Sales Enablement: Partner with the Sales and Solutions Engineering leadership to build the playbook for selling to developers and technical buyers. Translate complex technical capabilities into value-based selling tools, demos, and training.
• Customer Insights & Advocacy: Develop a deep understanding of our developer personas. Work with our customers to develop case studies and technical proof points that validate our platform’s impact at scale.
• Cross-Functional Leadership: Serve as a strategic partner to Product Management. While PMs own the product delivery and technical onboarding, you own the market success and the cohesive developer story across the entire Cloudflare portfolio.
• Team Leadership: Recruit and mentor a high-performing team of Product Marketers and Content Strategists, fostering a culture of excellence in storytelling and strategic thinking.

Who You Are

• A Master Strategist: You have a proven track record of taking complex developer technologies and turning them into clear, compelling market narratives. You think in terms of market categories and value props, not just feature lists.
• Technically Credible: You are comfortable "talking shop" with developers and PMs. You understand the nuances of serverless, edge computing, and AI architectures, and you know how to translate those into business outcomes.
• GTM Expert: You have led large-scale launches in the DevOps, Cloud, or Infrastructure space. You know how to align a global organization around a single launch moment.
• Collaborative Leader: You excel at navigating high-growth, PM-led organizations. You know how to provide the "marketing layer" that complements technical product ownership without stepping on toes.
• Data-Driven, Narrative-Led: You use market data and competitive signals to inform your strategy, but you rely on your storytelling instincts to win hearts and minds.

Qualifications

• 10+ years in Product Marketing, with a significant focus on developer-facing tools or infrastructure-as-a-service (IaaS).
• Experience leading PMM teams in a high-velocity, technical environment (e.g., AWS, Google Cloud, Vercel, Stripe).
• Demonstrated ability to influence product roadmaps through market research and competitive intelligence.
• Exceptional writing and presentation skills—you can write the keynote and the technical whitepaper.

Compensation

Compensation may be adjusted depending on work location.

Equity

This role is eligible to participate in Cloudflare’s equity plan.

Benefits

Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

Health & Welfare Benefits

• Medical/Rx Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Accounts
• Commuter Spending Accounts
• Fertility & Family Forming Benefits
• On-demand mental health support and Employee Assistance Program
• Global Travel Medical Insurance

Financial Benefits

• Short and Long Term Disability Insurance
• Life & Accident Insurance
• 401(k) Retirement Savings Plan
• Employee Stock Participation Plan

Time Off

• Flexible paid time off covering vacation and sick leave
• Leave programs, including parental, pregnancy health, medical, and bereavement leave

At Scale, we develop reliable AI systems for the world’s most important decisions. Scale’s product marketing team is responsible for developing and executing strategies that drive awareness and adoption for Scale’s offering. 

We understand our customers’ needs and challenges and ensure that their voices are reflected in product development and messaging. We then partner closely with product, engineering, research, sales, comms,  and the broader marketing team to create a cohesive customer experience across all our channels. 

This role sits at the center of Scale’s GenAI data products, which power the world’s leading AI labs. As one of the largest providers of high-quality AI training data, we’ve built our reputation on speed, quality, frontier research, and a growing suite of multimodal data capabilities. 

The market is evolving fast, and we’re looking for a marketer who can go on offense to sharpen our narrative and build a playbook that earns the trust of the AI community. The ideal candidate combines strategic thinking with hands-on execution.

You will:

• Own positioning and messaging for Scale’s GenAI data products, articulating our differentiation on data quality, delivery speed, and multimodal breadth in a way that resonates with AI researchers and technical buyers.
• Lead the content and social strategy for Scale Labs’ dedicated online presence, taking a research-native approach that earns attention and credibility from the AI community.
• Build and maintain competitive intelligence and a sharp point of view on the data market, arming the team with differentiated positioning as the market evolves.
• Partner with Scale Labs researchers to amplify published work - leaderboards, benchmarks, and research papers - and translate it into pipeline and demand generation for the GenAI business
• Develop go-to-market strategies for new data offerings and modalities, working closely with product and sales to drive awareness and build market momentum.
• Collaborate cross-functionally with sales, engineering, and research to ensure consistent, compelling messaging across every customer touchpoint.

Ideally, you’d have:

• 5+ years of experience in product marketing, with a track record of marketing technical products to developer or research audiences.
• Strong technical fluency and passion for AI. You can hold a credible conversation about AI/ML fundamentals, training, and the role of data quality in model performance.
• Experience building social-native content and community strategies on platforms like X, with an instinct for what resonates with technical practitioners
• Excellent written communication and storytelling skills — you can make complex technical concepts compelling without oversimplifying them.
• Ability to work across functions and move fast in a dynamic, high-stakes environment.

Nice to haves:

• Familiarity with the AI training data market, or adjacent data and infrastructure spaces.
• An existing network or relationships within the AI research community.
• Experience navigating competitive markets where differentiation requires more than feature comparisons.

At Scale, our mission is to develop reliable AI systems for the world’s most important decisions. The Public Sector team is at the forefront of this mission, partnering with government agencies to deploy mission-critical agentic solutions. 

Role Overview

The Public Sector GenAI T&E Product Manager will be a high-horsepower technical leader, defining the vision and owning the roadmap for our evaluation capabilities. This role requires thriving in unscripted, high-stakes environments, as you will be the primary owner for the T&E tech stack—the robust infrastructure required to continuously measure, improve, and prove the superiority and sustained performance of our agentic applications.

Traversing multiple engineering organizations across Scale, you will identify bottlenecks, distill technical friction into actionable plans, and drive execution. You will work across Scale’s commercial and public sector teams to define requirements, ensuring our evaluation services are robust enough for the most demanding government use cases. Key objectives include refining the tech stack that allows ML teams to hillclimb, and surfacing critical performance information to stakeholders.  

Minimum Qualifications (Quantifiable)

• Engineering Depth: 3+ years of experience in software engineering, systems architecture, or highly technical program management. You must be able to read code, understand system architecture, and participate in technical design reviews alongside engineering teams.
• Evaluation Systems Expertise: Proven experience designing, owning the roadmap for, or operating the infrastructure required to continuously measure, improve, and show the performance of AI applications. 
• Problem Distillation: Demonstrated experience taking a vaguely defined problem (e.g., "our evaluation cycles are too slow") and delivering a technical roadmap, resource requirements, and measurable success metrics within a narrow time window.
• Ambiguity Management: Proven track record of taking a project from "stalled/undefined" to "shipped" in a high-pressure environment. You can point to at least two instances where you inherited a failing project and saw it through to production.
• Cross-Functional Leadership: Led multiple projects that required direct alignment between at least three distinct engineering organizations (e.g., Infrastructure, ML Research, and Product).
• Operational Execution: Experience using technical project management frameworks (e.g., Linear) to provide consistent weekly reporting on delivery velocity and blockers to executive stakeholders.

Preferred Qualifications (Nice to Haves)

• Security Clearance: Active Secret, Top Secret, or TS/SCI clearance.
• GenAI Implementation: Practical experience developing or evaluating features built specifically on LLMs, RAG, or autonomous agent workflows.
• Technical Rigor: Advanced degree in Computer Science, Engineering, or a related field.
• Public Sector Expertise: 2+ years of experience working with DoD, IC, or Civil agencies on mission-critical software deployments.

Scale AI is the data engine for the entire AI industry. Our mission is to accelerate the development of AI applications by providing organizations with the high-quality data they need. The Physical AI team at Scale is focused on the next frontier: building general AI that can reason and act in the physical world. By leveraging Scale’s massive data infrastructure, we are helping frontier labs build Foundation Models for Physical AI that will redefine the future of automation.

Role Overview

As the Technical Lead Manager (TLM) for the Physical AI team of Scale, you will bridge the gap between cutting-edge Machine Learning research and physical robot deployment. You will lead a high-performing team of Research Engineers while remaining a hands-on technical contributor (~60% of your time).

Your primary focus will be the development and evaluation of Large-Scale Foundation Models (e.g VLAs, World models) that allow robots and AVs to generalize across diverse tasks, environments, and morphologies.

Key Responsibilities

Technical Leadership & Research

• Model Scaling: Direct research into scaling laws for Physical AI, determining how to best utilize massive datasets for pre-training and fine-tuning generalist policies.
• VLA and World model development: Develop novel methods for developing and evaluating models, including new Physical AI industry benchmarks
• Hands-on Modeling: Actively write code to implement, train and test SOTA architectures. Conduct research on Physical AI data collection, cross-embodiment training, and policy fine-tuning.  
• Data Strategy: Collaborate with internal labeling teams to design "robotic-native" data pipelines, including the use of VLMs for automated trajectory annotation and data synthesis.
• Collaborate closely with customers to drive the industry forward in using Scale data

Team Management & Execution

• Mentorship: Lead and grow a team of 4-6 elite Physical AI  researchers, fostering a culture of high-velocity experimentation and rigorous evaluation.
• Paper-to-Product: Translate the latest research from NeurIPS, ICRA, and CVPR into production-ready features for Scale’s Physical AI partners.
• Cross-functional Alignment: Work with cross-functional teams (e.g Product and Operations) to bring our research breakthroughs into production. 

Required Qualifications

AI/ML Excellence

• Deep Learning Mastery: Expert-level proficiency in PyTorch, with deep knowledge of Transformer architectures, Attention mechanisms, and Self-Supervised Learning.
• VLM/VLA Experience: Proven track record of working with Vision-Language Models (e.g., CLIP, PaLM-E) and adapting them for spatial reasoning or embodied tasks.
• Generative AI: Experience with Diffusion Models for sequence generation or Generative World Models for predictive modeling.

Physical AI & Software Background

• Embodied AI: Strong understanding of Physical AI stack, including imitation learning, reinforcement learning (RL), and multi-modal sensor fusion.
• Infrastructure: Experience with large-scale distributed training across GPU clusters and high-performance data loading.
• Leadership: 1+ years of experience leading technical teams or projects in a research-intensive environment.

Nice to Haves:

• Publication Record: First-author publications at top-tier AI/ML conferences (NeurIPS, CVPR, ICRA, CoRL).
• Hardware Generalization: Experience building models that work across different robot types (arms, mobile bases, humanoids).
• Sim-to-Real: Experience with high-fidelity simulators (e.g., Isaac Gym, MuJoCo) and the nuances of physical domain adaptation.

Scale's Physical AI business unit is dedicated to solving the data bottleneck across Robotics, Autonomous Vehicles, and Computer Vision. This position will be a key contributor in conducting applied research in Physical AI and developing ML pipelines for processing, training, and fine-tuning on data collected by Scale, with a specific focus on optimizing algorithms and pipelines to run efficiently on GPUs in the cloud. In this role, you will have the opportunity to advance research, shape Scale’s offerings, and expand the frontier of data and model evaluation for Physical AI.

The Role 

As an ML Systems Engineer on the Physical AI team, you will design and build platforms for scalable, reliable, and efficient serving of foundation models specifically tailored for physical agents. Our platform powers cutting-edge research and production systems, supporting both internal research discovery and external customer use cases for autonomous vehicles and robotics.

The ideal candidate combines strong ML fundamentals with deep expertise in backend system design. You’ll work in a highly collaborative environment, bridging the gap between Physical AI research and production engineering to accelerate innovation across the company.

You Will: 

• Build & Scale: Maintain fault-tolerant, high-performance systems for serving robotics-related models and foundation models at scale, ensuring low latency for real-time applications.
• Platform Development: Build an internal platform to empower model capability discovery, enabling faster iteration cycles for research teams working on robotics.
• Collaborate: Work closely with Robotics researchers and Computer Vision engineers to integrate and optimize models for production and research environments.
• Design Excellence: Conduct architecture and design reviews to uphold best practices in system scalability, reliability, and security.
• Observability: Develop monitoring and observability solutions to ensure system health and real-time performance tracking of model inference.
• Lead: Own projects end-to-end, from requirements gathering to implementation, in a fast-paced, cross-functional environment.

Ideally, You’d Have: 

• Experience: 4+ years of experience building large-scale, high-performance backend systems, with deep experience in machine learning infrastructure.
• Algorithm Optimization: Deep experience optimizing computer vision and other machine learning algorithms for cloud environments, including GPU-level algorithm optimizations (e.g., CUDA, kernel tuning).
• Programming: Strong skills in one or more systems-level languages (e.g., Python, Go, Rust, C++).
• Systems Fundamentals: Deep understanding of serving and routing fundamentals (e.g., rate limiting, load balancing, compute budgets, concurrency) for data-intensive applications.
• Infrastructure: Experience with containers (Docker), orchestration (Kubernetes), and cloud providers (AWS/GCP).
• IaC: Familiarity with infrastructure as code (e.g., Terraform).
• Mindset: Proven ability to solve complex problems and work independently in fast-moving environments.

Nice to Haves: 

• Exposure to Vision-Language-Action (VLA) models.
• Knowledge of high-performance video processing (e.g., FFmpeg, NVDEC/NVENC) or 3D data handling (point clouds).
• Familiarity with robotics middleware (e.g., ROS/ROS2) or AV data formats.

Scale's LLM post-training platform team builds our internal distributed framework for large language model training. The platform powers MLEs, researchers, data scientists, and operators for fast and automatic training and evaluation of LLMs. It also serves as the underlying training framework for the data quality evaluation pipeline.

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 with Scale’s ML teams and researchers to build the foundation platform which supports all our ML research and development works. You will be building and optimizing the platform to enable our next generation 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 and research 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:

• Passionate about system optimization
• Experience with multi-node LLM training and inference
• Experience with developing large-scale distributed ML systems
• Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc.
• Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc. 
• Strong written and verbal communication skills to operate in a cross functional team environment.

Nice to haves:

• Demonstrated expertise in post-training methods and/or next generation use cases for large language models including instruction tuning, RLHF, tool use, reasoning, agents, and multimodal, etc.

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.

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.