Shape Testing Strategy for AI-Native Products

• Design and own end-to-end test strategies,automated and manual,for products that integrate LLMs, generative AI, and complex data pipelines.
• Develop novel evaluation frameworks for LLM output quality, prompt regression testing, and RAG retrieval accuracy.
• Select, implement, and continuously improve testing tools and frameworks in collaboration with engineering leadership and platform excellence teams.
• Drive a measurable shift from manual to automated testing, with clear metrics to track progress.

Own Quality and Release Readiness

• Be the single point of accountability for testing across all releases of your two products.
• Build and maintain automation frameworks and scripts that keep pace with rapid release cycles.
• Analyse test results, spot trends, and turn data into actionable improvements,not just reports.
• Prepare release-readiness documentation and quality artifacts that satisfy both internal stakeholders and GxP compliance requirements.

Lead, Coach, and Build Culture

• Partner with engineering managers, scrum masters, and delivery leads across squads and geographies to establish a shared quality vision.
• Lead external contract test engineering squads by influence,setting standards, mentoring team members, and modelling engineering excellence.
• Champion a quality-engineering mindset: everyone ships quality, not just the test team.
• Stay hands-on,write test cases, debug failures, and pair with engineers when the situation calls for it.

Essential Skills and Experience

• Bachelor’s degree in Computer Science, Computer Engineering, Mathematics, Information Science, or a related field (or equivalent practical experience).
• 10+ years of hands-on software test engineering experience across the full stack (UI, API, data).
• Proven ability to lead test strategy and mentor other test engineers,whether through formal management or technical leadership.
• Strong automation skills with modern frameworks such as Playwright, Selenium, or Cypress, plus scripting fluency in Python or a comparable language.
• Solid experience with REST API testing, database validation (PostgreSQL, MongoDB, or similar), and CI/CD-integrated test pipelines.
• A data-driven approach to quality: you define metrics, instrument dashboards, and use evidence to drive decisions.

Highly Preferred

• Experience testing AI/ML-powered products,especially LLM evaluation, prompt testing, RAG validation, or output-quality benchmarking.
• Familiarity with GxP software validation, computerised system validation (CSV), or regulated-industry quality practices.
• Background in life sciences, health-tech, or clinical-trial technology.
• Experience working with geographically distributed teams and external vendor squads.

If you're looking for a role where deep test engineering craft meets the frontier of AI,and where your work genuinely improves patient outcomes,this is it.

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As a part of this team, you will own the model inference layer - enabling state of the art models, debugging the latest AI tools, managing networking, debugging latency, and tracking pricing/usage metrics for AI models.

You will lead technical discussions on the frontlines with cloud vendors and customers to deliver on critical contracts and to debug platform issues.

You will also work upstream with Product to understand features before they break, moving us from "infra-only debugging" to proactive integration testing.

Key Responsibilities:

• Design and implement secure scalable backend systems for Public Sector customers, leveraging Scale's modern and cloud-native AI infrastructure.

• Own services or systems and define their long-term health goals, while also improving the health of surrounding components.

• Re-architect the stack to run in compliant or restrictive environments. This requires designing swappable components (auth, storage, logging) to meet government/security mandates without breaking the product.

• Work with Product to build integration tests that catch issues early, shifting the focus from "infra-only debugging" to preventing failures upstream.

• Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions.

• Contribute to the platform roadmap and product strategy for Scale AI's Public Sector business, playing a key role in shaping the future direction of our offerings.

Requirements:

• At least an active secret clearance and the ability & willingness to up level to TS/SCI with CI Poly. This is a requirement and candidates will not be considered who do not hold at least a secret clearance.

• Full Stack Development: Proficiency in both front-end and back-end development, including experience with modern web development frameworks, programming languages, and databases.

• Cloud-Native Technologies: Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is desired. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment.

• Security Focused: Experience with Federal Compliance frameworks, and requirements(e.g, Cloud SRG, FedRAMP, STIG Benchmarks, etc). Experience developing software & technical solutions that meet strict security & regulatory compliance requirements.

• Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions.

• Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers.

• Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to evolving project requirements.

• Must be able to support work 3-4 days a week from the DC, SF, NYC, or STL office.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $184,000-$259,440 USD

The base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is: $165,600-$233,496 USD

The base salary range for this full-time position in the location of St. Louis is: $138,000-$194,580 USD

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We are seeking a highly skilled Staff Software Engineer to join our Public Sector team. As a Staff Software Engineer, you will be responsible for designing and implementing software solutions for the public sector. You will work closely with cross-functional teams to develop and deploy software applications that meet the needs of government agencies.

Responsibilities:

• Design and implement software solutions for the public sector
• Work closely with cross-functional teams to develop and deploy software applications
• Collaborate with stakeholders to understand their needs and develop software solutions that meet those needs
• Develop and maintain software documentation
• Participate in code reviews and ensure that code meets quality standards

Requirements:

• Bachelor's degree in Computer Science or related field
• 5+ years of experience in software development
• Proficiency in programming languages such as Java, Python, or C++
• Experience with Agile development methodologies
• Strong understanding of software design patterns and principles
• Excellent communication and collaboration skills

Preferred Qualifications:

• Master's degree in Computer Science or related field
• 10+ years of experience in software development
• Experience with cloud-based technologies such as AWS or Azure
• Experience with DevOps practices

Benefits:

• Competitive salary and benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment

Salary Range: $252,000-$362,000 USD

Required Skills:

• Full Stack Development
• Cloud-Native Technologies
• Data Engineering
• AI Application Integration
• Problem Solving
• Collaboration and Communication
• Adaptability and Learning Agility

Preferred Skills:

• Experience with modern web development frameworks
• Familiarity with cloud platforms
• Understanding of containerization and container orchestration
• Knowledge of ETL processes
• Understanding of data modeling, data warehousing, and data governance principles
• Familiarity with integrating Large Language Models

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Design and implement scalable backend systems for Federal customers using cloud-native AI infrastructure.

Build features for agentic systems, including multi-layered guardrails and data retrieval optimization.

Develop data pipelines and machine learning infrastructure to make data sources accessible by agents.

Collaborate with cross-functional teams to execute backend solutions for secure environments.

Participate in customer engagements to understand requirements and deliver technical solutions.

Contribute to the platform roadmap and product strategy for the Federal business.

We're looking for talented individuals with expertise in Full Stack Development, Cloud-Native Technologies, Data Engineering, AI Application Integration, Problem Solving, Collaboration and Communication, and Adaptability and Learning Agility.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:\$180,000-\$225,000 USD

The base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is:\$162,400-\$233,000 USD

The base salary range for this full-time position in the location of St. Louis is:\$135,200-\$194,000 USD

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You will:

Lead the design and implementation of scalable backend systems and distributed architectures for Federal customers. Manage the full lifecycle of feature development from requirement definition to deployment on classified networks. Direct the orchestration of asynchronous agent fleets to meet mission requirements. Lead customer engagements to translate mission needs into technical requirements. Own the communication with stakeholders to ensure implementation meets defined acceptance criteria. Conduct technical reviews and identify risks within machine learning infrastructure and model serving. Drive the platform roadmap by providing technical specifications for Federal product offerings.

Ideally you will have:

Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles AI Application Integration: Familiarity with integrating Large Language Models (LLMs) and building agentic workflows. Understanding of prompt engineering, retrieval-augmented generation (RAG), and agent orchestration is beneficial. Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to defining and evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering

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Collaborate across product, design, and engineering teams to innovate and implement sophisticated solutions for complex challenges.

Engage in the full development cycle: design, develop, QA, experiment, analyze, and deploy.

Required Qualifications:

Proficiency in Android engineering and languages such as Kotlin or Java, with at least 3 years of experience in software development.

Strong software engineering fundamentals.

A willingness to tackle the challenges of creating data-intensive, highly responsive, and fault-tolerant apps.

An openness to explore innovative approaches to software development.

Bonus Points:

Experience working on ad tech.

Able to work full stack.

Technologies used on the team include:

Languages: Kotlin, Java, Go, Python

Frameworks: Thrift, gRPC

Datastores: Postgres, DynamoDB, BigQuery

Tools: Kubernetes, Argo, Docker

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

Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission.

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Collaborate across product, design, and engineering teams to innovate and implement sophisticated solutions for complex challenges.

Engage in the full development cycle: design, develop, QA, experiment, analyze, and deploy.

Required Qualifications:

Proficiency in Android engineering and languages such as Kotlin or Java, with at least 3 years of experience in software development.

Strong software engineering fundamentals.

A willingness to tackle the challenges of creating data-intensive, highly responsive, and fault-tolerant apps.

An openness to explore innovative approaches to software development.

Bonus Points:

Experience working on ad tech.

Able to work full stack.

Technologies used on the team include:

Languages: Kotlin, Java, Go, Python

Frameworks: Thrift, gRPC

Datastores: Postgres, DynamoDB, BigQuery

Tools: Kubernetes, Argo, Docker

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

Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission.

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Responsibilities:

• Build Ad experiences and create patterns for Reddit's Android app that enhance our ads' performance and functionality.
• Collaborate across product, design, and engineering teams to innovate and implement sophisticated solutions for complex challenges.
• Engage in the full development cycle: design, develop, QA, experiment, analyze, and deploy.

Required Qualifications:

• Proficiency in Android engineering and languages such as Kotlin or Java, with at least 3 years of experience in software development.
• Strong software engineering fundamentals.
• A willingness to tackle the challenges of creating data-intensive, highly responsive, and fault-tolerant apps.
• An openness to explore innovative approaches to software development.

Bonus Points:

• Experience working on ad tech.
• Able to work full stack.

Technologies used on the team include:

• Languages: Kotlin, Java, Go, Python
• Frameworks: Thrift, gRPC
• Datastores: Postgres, DynamoDB, BigQuery
• Tools: Kubernetes, Argo, Docker

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Sitting at the entry point for all Databricks customers, you will help guide a team of ~20 software engineers to create seamless onboarding flows, intuitive workspace experiences, and partner integrations that power Databricks expansion.

The impact you'll have:

• Define and drive the strategy for customer onboarding, workspace experience, account management, and other horizontal product experiences.

• Partner closely with product management, design, and other engineering teams to build intuitive, scalable, and extensible solutions that drive product-led growth.

• Lead architectural decisions to ensure performance, reliability, and simplicity across core user flows.

• Hands-on full-stack software development to create dynamic, user-centric experiences.

• Drive best practices for engineering excellence, including design reviews, code quality, testing strategies, and performance optimizations.

• Collaborate cross-functionally with teams developing vertical product experiences (Lakehouse Platform, SQL Warehouse, AI/BI Dashboards) and infrastructure teams to ensure seamless integration and innovation.

What we look for:

• 15+ years of software engineering experience, with a strong track record of technical leadership and impact.

• 5+ years of engineering management experience, including managing managers.

• Expertise in Front End or Full Stack development.

• Experience designing and building scalable SaaS platforms, onboarding flows, or customer growth-focused product experiences.

• Expertise in distributed systems, cloud platforms (AWS, Azure, GCP), and modern web application architectures.

• Strong ability to collaborate across product, engineering, and business teams to align technical strategy with company growth objectives.

• Passion for the data intelligence space.

Why Join us?

• Work on high-impact, high-visibility initiatives that directly contribute to Databricks' growth trajectory.

• Lead and mentor a talented team of engineers solving challenging, customer-centric problems.

• Drive innovation in a fast-paced, data-driven environment where your work shapes the future of the company.

If you are passionate about building seamless, scalable experiences that fuel product-led growth, we would love to hear from you!

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Responsibilities: Build Ad experiences and create patterns for Reddit's Android app that enhance our ads' performance and functionality. Collaborate across product, design, and engineering teams to innovate and implement sophisticated solutions for complex challenges. Engage in the full development cycle: design, develop, QA, experiment, analyze, and deploy.

Required Qualifications: Proficiency in Android engineering and languages such as Kotlin or Java, with at least 3 years of experience in software development. Strong software engineering fundamentals. A willingness to tackle the challenges of creating data-intensive, highly responsive, and fault-tolerant apps. An openness to explore innovative approaches to software development.

Bonus Points: Experience working on ad tech. Able to work full stack.

Technologies used on the team include: Languages: Kotlin, Java, Go, Python Frameworks: Thrift, gRPC Datastores: Postgres, DynamoDB, BigQuery Tools: Kubernetes, Argo, Docker

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In this role, you will lead the People Products team in defining the blueprint for AI at work. You will help hire the best person in the world for every job, ensure manager effectiveness, ramp new hires successfully, and ensure that we apply first principles thinking in how we shape Anthropic's culture through the tools we build.

Responsibilities

• Build full-stack end-to-end across the People Products portfolio.
• Design and implement AI-native workflows: build tools, evals, prompts, and products. You'll help define what is possible in applied AI for people processes.
• Work directly with internal stakeholders , HR teams, recruiters, managers , to understand problems, gather feedback, and iterate quickly without waiting for requirements to be handed down. No gatekeeping, you are expected to talk to your customers.
• Make product and architecture decisions independently in a low-structure environment: knowing when to cut scope, when to ship, and when to ask for input.
• Contribute ideas for how the team works, what it builds, and where applied AI can have the most leverage in people workflows.

You Might Be a Good Fit If You:

• Have 4+ years of engineering management experience leading high-performing teams in ambiguous, early-stage environments.
• Derive joy from hard work and the act of creation.
• Have shipped LLM-native features or applications.
• Are experienced enough to build big features independently, and make great architectural decisions along the way.
• Are self-sufficient end-to-end: you can go from idea to production without needing a designer, PM, or architect to unblock you.
• Move fast without cutting corners: you hold a high quality bar and know how to make smart tradeoffs under time pressure.
• Engage directly with users and criticism: you’re comfortable talking to internal customers, hearing hard feedback, and incorporating it quickly.
• Are genuinely mission-driven: you care about the intersection of AI and people practices, not just the technical puzzle.
• Are a collaborative, supportive teammate: you bring people along, communicate clearly about tradeoffs, and make the people around you better.

Strong Candidates May Also Have:

• Familiarity with MCP (Model Context Protocol) or prior experience building Claude or LLM integrations in production.
• Background at an AI-native company or in a product-focused 0->1 engineering environment.
• Experience with HR tech platforms such as Greenhouse, Workday, or Rippling.

Logistics

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience.
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience.
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position.
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

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We're looking for stellar Software Engineers with a hunger to build and a passion for solving complex global problems. Whether you're a versatile generalist, a frontend visionary, or a backend specialist, we want you on our team.

In this role, you will design, develop, and maintain robust full-stack solutions using React, TypeScript, Go, and SQL, collaborating with a diverse and talented team. You'll drive projects from inception to launch, engage in thought-provoking architectural discussions, and have direct access to users and industry experts to deliver software that truly makes a difference.

This is an individual-contributor role with the potential for advancement in the future.

Requirements

• A builder at heart,you thrive on solving hard problems and get so deeply engaged in the process that time flies when you're in your editor.
• B.S. in Computer Science or a related field, with a 3.5+ GPA for recent grads (M.S. is a plus).
• 0-8 years of industry experience as a Software Engineer building user-facing web applications (we’ll give you a Senior title if your experience warrants it).
• Fluency in frontend or backend, with the curiosity and ability to work across the full stack (experience with Go/GraphQL/React/TypeScript is a plus).
• Track record of shipping complex software projects, whether personal, professional, or academic.
• Excellent written and verbal communication skills, capable of articulating complex technical concepts to diverse audiences.
• Strong desire to learn, grow, and drive impact on real global problems,and to help others around you do the same.

Responsibilities

• Collaborate with cross-functional teams including Design, Product Management, and industry experts to build high-quality product features.
• Take on new challenges and responsibilities as needed, and be an enthusiastic team player in a dynamic startup environment.
• Help shape the company by participating in hiring decisions and contributing to our culture of continuous learning and growth.

Additional Information

If this sounds exciting, please apply, and we'll get back to you promptly if we see a fit!

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Responsibilities

• Strategic Technical Leadership: Provide technical direction for full stack systems, making key architectural and systems-level decisions to ensure scalability, reliability, and security. Stay engaged with hands-on technical work on complex systems and critical projects.
• Team Leadership and Development: Lead and mentor a team of engineers, fostering their technical growth and ensuring high-quality output. Create a collaborative, high-performing culture that aligns with Flow's values of integrity, trust, and excellence.
• Cross-Functional Collaboration: Partner with product, operations, and engineering teams to define clear requirements and translate them into scalable, maintainable software solutions. Effectively communicate technical concepts to non-technical stakeholders.
• Execution and Delivery: Balance technical excellence with pragmatic decision-making to deliver continuous value to the business. Drive projects forward, identifying and resolving blockers to maintain momentum.
• Talent Development: Contribute to recruitment and hiring of engineering talent. Foster an environment of continuous learning, accountability, and teamwork.

Qualifications

• Technical Expertise: 10+ years of software engineering & management experience with deep knowledge of full stack systems, distributed systems principles, high availability, fault tolerance, and system efficiency. Proficiency in multiple modern programming languages with ability to adapt to new technologies quickly.
• Leadership Experience: Proven experience managing and developing engineering teams, with demonstrated ability to mentor engineers, resolve conflicts, and drive performance improvements.
• Architectural Thinking: Strong track record of making high-level architectural decisions that balance technical feasibility with business goals. Experience working in fast-paced, product-driven environments.
• Communication Skills: Excellent ability to explain complex technical concepts clearly across teams and to non-technical audiences. Strong collaboration and stakeholder management skills.
• Cultural Fit: Alignment with Flow's values of innovation, excellence, and teamwork. Demonstrated commitment to building positive, inclusive work environments.

Additional Information Benefits • Comprehensive Benefits Package (Medical / Dental / Vision / Disability / Life) • Paid time off and 13 paid holidays • 401(k) retirement plan • Healthcare and Dependent Care Flexible Spending Accounts (FSAs) • Access to HSA-compatible plans • Pre-tax commuter benefits • Employee Assistance Program (EAP), free therapy through SpringHealth, acupuncture, and other wellness offerings

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As a key member of our team, you will work with Cresta product and engineering teams to build and continuously improve the Cresta platform and new product requirements. You will stay closely with customers and their requirements, analyze the technical tradeoffs, and own the customer-facing deliverables.

You will demonstrate engineering best practices in deliverables and daily work, upholding others to the same high standards. You will take technical ownership in a substantial part of the Cresta authentication stack and contribute to building the best-in-class company in addition to building the best-in-class product.

Your responsibilities will include full-stack support for Cresta's 1st-party and 3rd-party authentication systems (frontend and backend), expanding Cresta's BYOID (Bring Your Own Identity) repertoire, securing sign-in (password authentication, multi-factor authentication, etc), and application access.

You will also build customized, streamlined, and frictionless customer-specific auto-login systems, improving and migrating from legacy authentication systems to more modern industry-based, standardized, and secure systems.

We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family's needs, paid parental leave to support you and your family, monthly Health & Wellness allowance, work from home office stipend to help you succeed in a remote environment, lunch reimbursement for in-office employees, and PTO: 3 weeks in Canada.

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We're looking for a Senior Full Stack Engineer to join our QM & Coaching Team. As a key member of our team, you'll play a crucial role in building and scaling the no-code platform that powers Cresta's processing capabilities. This platform empowers non-technical users to configure conversation workflows, apply automation without writing code.

Your responsibilities will include:

• Design, develop, and maintain end-to-end features for Cresta's no-code processing platform.
• Build intuitive UI components and visual editors for configuring conversation logic and workflows.
• Architect and implement backend services and APIs to power a dynamic no-code interface.
• Work closely with ML engineers to expose conversation intelligence in an accessible and configurable way.
• Develop data models and storage layers using Postgres, ClickHouse, and Elasticsearch.
• Identify areas for performance improvements and scalability in both frontend and backend systems.
• Ensure reliability, security, and maintainability across the full technology stack.

If you're passionate about building systems that simplify complex problems and empower users, we'd love to hear from you.

We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family's needs. Paid parental leave to support you and your family. Monthly Health & Wellness allowance. Work from home office stipend to help you succeed in a remote environment. Lunch reimbursement for in-office employees. PTO: 3 weeks in Canada.

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As a member of the Banking Solutions team, you will be responsible for implementing and maintaining innovative products, in a highly collaborative team, that empowers Anchorage’s NeoBank functionality.

The crypto industry is one of the most exciting industries in tech today, and it is constantly changing! At Anchorage Digital, we are building foundational technology to help the crypto industry evolve in a safe, regulated and highly secure manner, which we believe is essential for maximizing the potential of this exciting industry

We think about growth and career development differently at Anchorage Digital. We define performance as acquiring, possessing, and practicing a relevant set of skills and competencies - and the ability to apply them effectively and consistently.

You will be coached, mentored and guided to grow your capabilities in 4 major areas:

Technical Skills:

• Participate in task breakdown, estimation, design, implementation and maintenance across the full stack.
• Build backend services and APIs that power Banking Solutions features.
• Create intuitive user experiences that simplify complex financial data into digestible, actionable insights.
• Build data visualizations from the ground up (charts, transaction flows, balance reports).
• Write, review, test, and document code according to Anchorage's engineering and team standards.
• Review code across frontend and backend, ensuring consistency, reducing errors, and sharing context across the engineering team.
• Dive deep into complex, ambiguous problems, formulate elegant and practical solutions.

Complexity and Impact of Work:

• Drive work independently, lead or significantly contribute to medium-to-large projects or processes, usually multi-person interdepartmental or cross-functional projects, including leading from end-to-end with little oversight and coordinating activities of other team members.
• Be capable of breaking down large projects into smaller tasks, and accurately estimating the time and scope of projects. Articulate effectively the different options considered, analyzes trade-offs, justifies and recommends priorities.
• Foster an efficient deterministic testing culture, with an emphasis on minimizing tech debt.

Organizational Knowledge:

• Ensure that knowledge is shared among the team and does not position themselves or others as a single point of failure.
• Collaborate cross-functionally within the team and other teams at Anchorage Digital.
• Monitor the development of the company objectives and/or trends that may affect its capacity to succeed.

Communication and Influence:

• Mentor and guide others on the team within their area of specialization or domain, and help others understand the strategic goals of Anchorage and how their work relates to these.
• Communicate outside team boundaries to solve problems, network with other teams, and establish positive working relationships in other disciplines and domains.

You may be a fit for this role if you:

• Have real world experience building complex distributed systems and web applications from scratch.
• Experience with backend languages (we mostly use Go, but languages can be learned).
• Proficiency with React.JS or similar JavaScript frameworks (Next.JS, Angular.JS, Vue.JS).
• Enjoy building resilient services that can handle different volumes of work without manual intervention.
• Genuinely care about code quality, test infrastructure, and end-user experience.
• Prioritize business value and user experience over 'cool tech'.
• Have developed 'computer science fundamentals' (concurrency, algorithms, data structures - formal CS degree NOT required).
• Believe software engineering is a team activity and enjoy collaborating, learning from and mentoring others.

Although not a requirement, bonus points if you have:

• GraphQL and/or gRPC API design and implementation experience (both consuming and building).
• Production experience with web security.
• A background in the finance industry or fintech.
• Experience working across the full stack on customer-facing financial applications.

Compensation at Anchorage Digital:

• Compensation at Anchorage Digital is market-driven and data-informed. All full-time employees receive a market-leading salary, meaningful equity, and a generous perks and benefits package.
• Compensation Range: $167,000-$230,000 - this salary range may be inclusive of multiple regional locations and job grades. This compensation range will be narrowed during the interview process based on skills, abilities, and experience required.

Benefits:

• Anchorage Digital is proud to provide market-leading benefits and perks to our employees. We are only 1% of companies who offer 100% health, dental, and vision coverage for you and your dependents. This means no monthly out-of-pocket premiums for you or your family.
• We offer a wide range of benefits to our employees globally.

Additional Information About Anchorage Digital:

Who we are The Anchorage Village, what we call our team, brings together the brightest minds from platform security, financial services, and distributed ledger technology to provide the building blocks that empower institutions to safely participate in the evolving digital asset ecosystem.

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Responsibilities:

• Develop and implement tooling and platforms to support interactive content tools (e.g., calculators, generators, templates) that provide utility to current and prospective businesses.
• Utilize a user-first mindset to implement feedback mechanisms for continuous improvement of content and product offerings.
• Design and build integrations to third-party software and create seamless workflows across these tools to unleash their full potential to the rest of Stripe.
• Work with a small team of technically sophisticated engineers who put users first.

Requirements:

• 2+ years of backend and/or full stack development experience, with emphasis on creating user-facing experiences.
• Experience writing clear, elegant code in a team environment.
• Passion for engineering solutions focused around growth hacking & enablement.
• Excellent verbal and written communication.

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We are seeking an experienced Engineering Manager to join our Agentic Commerce team at Stripe. As an Engineering Manager, you will own the shaping and delivery of transformative products that redefine how commerce works, making it more fluid, automated, and aligned with user intent.

Responsibilities:

• Build full stack solutions across Stripe's ecosystem, including back end services, dashboard interfaces, money movement systems, and integrations with other Stripe primitives
• Partner deeply with product management and design to ship high impact features that increase user autonomy and reduce friction
• Strong analytical skills: comfort diving into data to test hypotheses and make informed trade-offs
• Collaborate cross-functionally across Stripe's broader platform and product teams to integrate agentic commerce capabilities seamlessly
• Engage directly with users (particularly large enterprises) to understand their business needs and translate requirements into novel product shapes

Requirements:

• 10+ years of engineering experience with a computer science background with hands on development expertise
• Proven experience coaching and developing senior and staff level individual contributors
• Demonstrated experience of leading initiatives that touch large engineering organizations, spanning multiple teams to influence tech roadmap planning and execution
• Strong written and verbal communication skills, structuring ambiguous concepts clearly and from first principles
• Thrive in a collaborative environment involving different functions, stakeholders, and subject matter experts
• Deep empathy for users balancing autonomy and guidance in digital commerce experiences

Preferred Qualifications:

• 5+ years of engineering management experience
• Experience building APIs or new integration experiences for users, several of them being enterprise grade
• You've been on the found team of a business / startup, taking a product from 0-1
• Experience in eCommerce
• AI-native and very comfortable autonomously solving problems with agentic AI tools

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Key Responsibilities

• Design, develop, and maintain scalable and robust features ensuring seamless integration between front-end and back-end systems.
• Ensure high performance, reliability and scalability across our distributed systems.
• Contribute to systems powering AI-assistants, developer experience, authentication, billing, AI tooling, observability, connectors, search and more.
• Build and maintain our websites using modern frontend frameworks like React, Next.js, Svelte and Astro.
• Create interactive experiences and bring our brand to life with animations and micro-interactions that delight users while ensuring strong performance and accessibility.
• Design and run evaluations for your product area: reference tests, heuristics, model-graded checks tailored to search relevance, chat quality, document understanding, or audio performance.
• Define and track metrics that matter: task success, helpfulness, hallucination proxies, safety flags, latency, cost.
• Improve core behaviors in your product area, whether that's memory policies, intent classification, routing, tool-call reliability, or retrieval quality.
• Design, build, and maintain scalable data pipelines, ETL processes, and analytics infrastructure.
• Automate data quality checks and validation processes.
• Collaborate with cross-functional teams to understand data needs and deliver high-quality, actionable solutions.

Requirements

• Degree in Computer Science, Software Engineering, or equivalent practical experience.
• Proficiency in one of the following languages: Python, TypeScript, Golang.
• Strong problem-solving abilities and attention to detail.
• Ownership mindset capable of shipping end-to-end features with minimal oversight.
• Excellent communication skills and collaborative attitude.
• Team-oriented, low-ego mindset and curiosity for learning.

Fast-Track Hiring Process

• Intro call with a recruiter — 15 min
• Technical rounds — usually 2 x 45 min depends on the role
• Interview with a technical lead — 30 min

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You'll be joining the Applications team, which is an Engineering function within Quantexa's R&D department that is focused on internally building real-world applications of the Quantexa Platform.

This function enables demonstrations of the product and develops SaaS offerings, whilst also testing and refining new Platform features before they are deployed by clients. The function develops and releases its own tools that feed into these internal applications and are also packaged and released to help standardize and accelerate all Quantexa deployments.

It encompasses four distinct sub-teams:

Data Engineering Accelerators

• Developing Quantexa's libraries for cleansing, parsing and standardising data used in entity resolution
• Finding efficiency/performance improvements through big data testing and building performance tooling
• Owning best practices in entity resolution and network building

Data Feeds

• Building standardised and reusable code for processing various third party/open source data sets
• Managing an internal data lake for the provision of this data by other teams for testing and analytics
• Owning general best practices for ingesting and processing data to get it ready for use in the Quantexa Platform, including pipelines and scheduling

Demos

• Developing, deploying and maintaining all Quantexa demos, showcasing the different use cases for the Quantexa Platform
• Owning the Quantexa Trial platform, for prospective Quantexa clients to see the product in action using real data provided by Data Feeds
• Building tools to enable solution owners and sales to create their own custom demos

SaaS

• Building Quantexa's emerging SaaS offering, a cloud hosted, standardized deployment of the Quantexa Platform
• Targeting mid-market banks in the US for Retail AML initially, providing them with a cost-effective Quantexa solution, then expanding in future to more use cases and geographies
• Implementing cutting edge features of the Quantexa Platform ensuring SaaS customers always on the latest and greatest of Quantexa

Requirements

• Data processing/ETL pipelines
• Analysing and examining real and varied data
• Full stack development, but with a heavy focus on the data processing/ETL side
• Solving difficult problems with efficient, resilient, high impact code
• Working in the cloud with production-grade systems
• Defining best-practices and sharing expertise you’ve developed
• Working in a fast moving, Agile environment
• Growing and thriving within one of the UK’s fastest growing scale-ups

Experience in the following would be beneficial:

• A strong coding background, ideally in Scala or otherwise in a relevant language that will allow you to learn Scala quickly (e.g. Java/Python)
• Big data, either from a software deployment/implementation or a data science perspective
• Working with big data technology, ideally Spark but others will also be useful such as Airflow or Elasticsearch
• Working in an Agile environment
• Building data processing pipelines for use in production batch systems, including either traditional ETL pipelines and/or analytics pipelines
• Manipulating data through cleansing, parsing, standardising etc, especially in relation to improving data quality/integrity
• Building and deploying SaaS products

Benefits

• Competitive salary and Company Bonus
• Flexible working hours in a hybrid workplace & free access to global WeWork locations & events
• Pension Scheme with a company contribution of 6% (if you contribute 3%)
• 25 days annual leave (with the option to buy up to 5 days) + birthday off!
• Work from Anywhere Scheme: Spend up to 2 months working outside of your country of employment over a rolling 12-month period
• Family: Enhanced Maternity, Paternity, Adoption, or Shared Parental Leave
• Private Healthcare with AXA
• EAP, Well-being Days, Gym Discounts
• Free Calm App Subscription #1 app for meditation, relaxation and sleep
• Workplace Nursery Scheme
• Team's Social Budget & Company-wide Summer & Winter Parties
• Tech & Cycle-to-Work Schemes
• Volunteer Day off
• Dog-friendly Offices

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You will identify, analyse, and resolve existing network security design weaknesses and vulnerabilities which could possess risk to existing infrastructure. Expert in closing zero-day security vulnerabilities taking along all infrastructure domain teams which could impact Ford's reputation across globe.

As a Network Security Engineering enterprise architect, you would lead future network security product development by contributing to the network Design (architecture) and Automation used across multiple Engineering Branches, Data Centres, Manufacturing Plants and Remote users.

This Role requires defining road map for ZTNA/SASE deployment using Prisma Access/Cloud, setup support model, automation to accelerate end user experience. The Global Network Security Engineering enterprise architect is responsible for successful setup of the products by working closely with Software developers from Ford and OEMs in consultation with Ford's Network and Security Operations Team.

This position will be part of Ford's Enterprise Tech department and will report to the Regional Network Delivery Manager, based in same or another region. The lead needs to ensure 'Always On' (24 x 7) availability of Ford Global Network Product offerings, working with Network & Security Peers from other regions.

Responsibilities

This role will also be driving towards supporting full observability and Monitoring, process response, and technical capability to ensure customer up time of 99.999%+. This position requires a wide range of skills and experience,

• This role involves collaborating closely with the network operations team to identify continuous improvement opportunities and working with the network engineering team and OEMs to devise and implement solutions. The implementation will be driven through automation in partnership with Ford's developers.
• Design and implement robust security architectures and frameworks to protect against threats and vulnerabilities.
• Ensure timely proactive identification and reporting of security gaps and vulnerabilities to the critical business information, systems and network infrastructure.
• Plan for End-to-end Network & Security projects implementation.

Qualifications

• Support the Major technical Incident Management Calls and Change Controls through STRONG Technical Network Knowledge, Operational capability, and strong communication skills.
• Perform configuration updates, such as modifying configurations, signature definitions or implementing new policies on various network security tools, as directed.
• Demonstrate technical excellence through technical knowledge.
• Collaborate with global leaders to support 24/7 network availability on a worldwide scale.
• Advocate and ensure that high quality Follow the Sun (FTS) is delivered to receiving teams. As well as support on-call schedule and shifts are available.
• Support continuous improvement in service management for Network Services leveraging enterprise tools and processes (Incident, Problem & Change) and focusing on customer value optimization.
• Supports implement best practices and processes for Network & Security Operations services to maintain availability, reliability, scalability, and security.
• Support for effective SRE Monitoring and FSO (Full Stack Observability) on system performance and overall health, troubleshoot issues, and implement corrective actions.
• Collaborate with the Network LAN/WAN & security Engineering/development teams to optimize infrastructure for application performance and scalability.
• Support team members to achieve technical network excellence thru experience, and network Certifications and support training requirements.
• Able to support the team to develop continued improvements leading to an 'always on network capability.
• Be able to leverage other network management tools used by the NOC in the identification and response to security connectivity incidents and faults.
• Develop security policies, standards, and procedures.
• Assist with security compliance audits to verify completeness of required configurations and verify system hardening.
• Participate in the problem investigation connectivity incidents related to security devices, provide recommendations to improve reliability and availability, or reduce recovery time.
• Support assurance of up-to-date SW releases, targeted LDOS, and PSIRTS (security updates).

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This isn't just about learning—you'll ship meaningful code that helps democratize software creation. Whether you're optimizing our cloud infrastructure, building intuitive developer tools, or enhancing our AI agents, your work will directly empower creators around the globe.

You will:

• Ship real features to millions of developers using Replit's platform
• Collaborate cross-functionally with engineers, designers, product managers, and AI researchers
• Build and optimize developer experiences that make coding accessible to everyone
• Work on cutting-edge AI tools and infrastructure that power the next generation of software creation
• Learn from the best in an environment where your ideas are heard and often implemented

Required skills and experience:

• Currently pursuing a Bachelor's, Master's, or PhD in Computer Science, Computer Engineering, or related technical field
• Have at least one semester of schooling remaining after the internship completion
• Proficient in at least one programming language and comfortable with full stack development
• Passionate about developer tools, AI, or making technology more accessible
• Thrive in fast-paced environments where you can move quickly and adapt to changing priorities

What we value:

• Problem-solving mindset: Ability to approach complex operational challenges systematically and devise effective solutions
• Self-directed and autonomous: Capable of working independently while collaborating effectively with cross-functional teams
• Strong communication skills: Ability to explain complex technical concepts to both technical and non-technical audiences
• Continuous learning: Passion for staying current with industry best practices and new technologies
• Focus on automation: Strong belief in automating repetitive tasks and building self-healing systems

Full-Time Employee Benefits Include:

• Competitive Salary & Equity
• 401(k) Program with a 4% match
• Health, Dental, Vision and Life Insurance
• Short Term and Long Term Disability
• Paid Parental, Medical, Caregiver Leave
• Commuter Benefits
• Monthly Wellness Stipend
• Autonomous Work Environment
• In Office Set-Up Reimbursement
• Flexible Time Off (FTO) + Holidays
• Quarterly Team Gatherings
• In Office Amenities

Want to learn more about what we are up to?

• Meet the Replit Agent
• Replit: Make an app for that
• Replit Blog
• Amjad TED Talk

Interviewing + Culture at Replit

• Operating Principles
• Reasons not to work at Replit

To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

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You can be part of the journey to build and scale features that help teams and organizations of any size be more productive with Replit. This is an opportunity to make meaningful impact and shape the culture and processes from the ground up. Working closely with cross-functional teams including product managers, designers, and AI engineers, you'll craft solutions that enable our customers to build, deploy, and share their applications seamlessly. This role requires both technical expertise and a deep understanding of user needs to deliver features that make an impact.

In this role you will:

• Build and own features across the full stack that serve enterprise customers, from backend services to user-facing interfaces
• Design and implement scalable solutions for teams and organizations. This includes enterprise-readiness features like authentication, permissions, security, and compliance, as well as tools that improve team collaboration and drive adoption within an organization
• Work directly with customers to understand their needs and iterate on solutions
• Contribute to technical decisions and architecture for the Enterprise platform
• Collaborate closely with Product, Design, and other Engineering teams to deliver high-quality experiences
• Mentor other engineers and raise the bar for engineering excellence
• Ship quickly and iterate based on customer feedback and usage data

Required skills and experience:

• Strong full stack engineering skills with experience shipping production code
• Experience building B2B or enterprise software products
• Comfort working across the stack - from databases and APIs to frontend frameworks
• Strong product sense and ability to translate customer needs into technical solutions
• Experience with modern web technologies (React, Node.js, TypeScript, or similar)
• Track record of shipping high-impact features and taking ownership of projects
• Excellent communication skills and ability to collaborate with cross-functional teams
• Curiosity and willingness to learn new technologies and domains

Nice to Have:

• Experience with enterprise authentication and authorization systems (SSO, SAML, SCIM)
• Experience with AI/LLM integration in applications
• Understanding of developer tools, internal tools, and workflows
• Previous experience in a high-growth startup environment
• Contributions to open-source projects

Tools + Tech Stack for this role:

• React, TypeScript, CSS, GraphQL, Node.js, and Postgres

This role may not be a fit if:

• You prefer working exclusively on backend systems without user interaction
• You're uncomfortable with the pace and changing priorities of a startup environment
• You require highly structured requirements and aren't comfortable with ambiguity

_This is a full-time role that is held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday._

Full-Time Employee Benefits Include:

• Competitive Salary & Equity
• 401(k) Program with a 4% match
• Health, Dental, Vision and Life Insurance
• Short Term and Long Term Disability
• Paid Parental, Medical, Caregiver Leave
• Commuter Benefits
• Monthly Wellness Stipend
• Autonomous Work Environment
• In Office Set-Up Reimbursement
• Flexible Time Off (FTO) + Holidays
• Quarterly Team Gatherings
• In Office Amenities

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Product Manager, API Agents

Location

San Francisco

Employment Type

Full time

Department

Product Management

Compensation

• $293K – $325K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team:

The OpenAI API team builds the foundation that enables every developer to harness OpenAI’s models safely, reliably, and at scale. Our mission is to make it effortless for any developer to build transformative products with OpenAI’s models. We’re responsible for the infrastructure and product layers that allow millions of developers to integrate our models, fine-tune behavior, manage data, and deliver experiences to their users. We collaborate deeply across product, research, and engineering teams to drive innovation at the model layer and then directly translate that into value for customers.

About the Role:

As the Agents Product Manager for the API team, you'll be at the forefront of defining and guiding the future of how developers build agentic applications on top of our AI models. You’ll set clear priorities and drive impactful improvements to model capabilities, balancing user needs, safety considerations, and technical innovation. This role is perfect for a proactive, technically adept PM who thrives on solving challenging, ambiguous problems through structured product thinking and close collaboration with customers, engineers, and researchers.

This position is based in San Francisco, CA, with relocation assistance available.

In this role, you will:

• Deeply understand problems faced by agent builders and identify opportunities where our products and models can make building agents faster, more intuitive, more reliable, and more powerful.

• Define strategic priorities and roadmap for improving agentic infrastructure for API users, focusing on user outcomes and emerging capabilities.

• Partner with research and engineering teams at a technical level to translate those priorities into developer products and features (SDKs, APIs, and more).

• Deliver quickly while maintaining a high bar for product quality and user experience.

You might thrive in this role if you:

• Have 5+ years of product management or related industry experience.

• Proven track record of building for developers, with strong intuition for designing clear, flexible APIs and primitives that scale from early experimentation to production use.

• Have experience collaborating directly and deeply with high-growth tech companies.

• Have hands-on experience driving consensus and action in ambiguous spaces.

• Excel at collaborating across diverse teams and communicating complex ideas clearly.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Our team brings OpenAI’s most capable technology to the world through our products. We’ve released ChatGPT, o3, and Sora. We empower consumers and developers alike to use and access our state-of-the-art AI models, allowing them to do things that they’ve never been able to before.

Across all product lines, we ensure that these powerful tools are used responsibly. This is a key part of OpenAI’s path towards safely deploying broadly beneficial Artificial General Intelligence (AGI). Safety is more important to us than unfettered growth.

About the Role

We are seeking an experienced Product Manager to scale the product efforts and overall technical strategy for the Integrity team. The ideal candidate has prior experience solving complex forms of scaled abuse, building sophisticated protections across multiple parts of OpenAI’s product suite (ChatGPT, API, Sora). This role requires close collaboration with our product, safety, policy, user operations and engineering teams.

This position is based in London, England. We utilize a hybrid work model with 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Build tooling for AI-forward investigation of malicious users

• Develop infrastructure for the incubation of detection of novel misuse of OpenAI’s services

• Lead full stack systems to prevent violations of OpenAI’s usage policies

• Use data to better understand user needs and guide future product development

• Collaborate with a wide range of stakeholders, including teams in product, finance, operations and engineering.

You might thrive in this role if you:

• Have 10+ years of product management or related industry experience.

• Obtained a bachelor's degree in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field.

• Have proven experience working in a technical environment with cross-functional teams to drive product vision, define requirements, and guide the team through key milestones.

• Have world-class communication and collaboration skills in working with a wide variety of cross-functional stakeholders

• Showcase strong leadership, organizational, and execution skills, along with proven communication abilities.

Compensation, Benefits and Perks

This is a position with OpenAI UK Ltd., which controls the hiring and management of this position.

Total compensation includes a competitive salary, generous equity, and benefits.

• Private medical insurance covering 100% of premiums for employees and their dependents

• Pension plan with 4% employer contribution

• 52 weeks of maternity leave and 24 weeks of parental leave

• Unlimited time off

• Annual learning & development stipend ($1,500 USD equivalent per year)

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Location

Seattle

Employment Type

Full time

Location Type

Hybrid

Department

Model Deployment for Business

Compensation

• $153K – $325K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development.

About the Role We are looking for customer-focused software engineers to build effective custom software that leverages OpenAI’s APIs to solve real customer problems. As an FDSWE, you will work with our customers and OpenAI Forward Deployed Engineers to design and implement scalable solutions that solve their most difficult problems. You will design abstractions to solve customer problems, and then use them to scale our speed and quality of delivery across all Forward Deployed engagements.

You will collaborate closely with Sales, Solutions Engineering, Solutions Architects, and Customer Success Managers who work on the same account. You will also work with our Research and Applied Product and Engineering teams to provide insightful customer feedback.

This role is based in Seattle. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required.

In this role, you will:

• Embed deeply with strategic customers to understand their business challenges and technical requirements in detail.
• Design, architect, and develop full-stack solutions using an experiment-driven, iterative approach.
• Prepare detailed scopes of work and project plans for both proof-of-concept prototypes and full production deployments.
• Work hands-on with customers' technical teams as a technical expert and trusted advisor, coding side-by-side to drive projects to completion on their infrastructure.
• Collaborate with Product, Research and Applied teams to ensure seamless customer experiences, project success and actionable product feedback
• Contribute to internal knowledge bases, codifying best practices and sharing insights gained from customer engagements to scale the Forward Deployed Engineering function.

You’ll thrive in this role if you:

• 7+ years of professional full stack engineering experience (excluding internships) in relevant roles at tech and product-driven companies - customer-facing experience is highly desirable
• Former founder, or early engineer at a startup who has built a product from scratch is a plus
• Experience with relational databases like Postgres/MySQL
• Have a bias for action and willingness to work iteratively with your customers to deliver the right solution that solves their problem.

About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Location

New York City

Employment Type

Full time

Location Type

Hybrid

Department

Model Deployment for Business

Compensation

• $153K – $325K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the team

OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development.

About the Role

We are looking for customer-focused software engineers to build effective custom software that leverages OpenAI’s APIs to solve real customer problems. As an FDSWE, you will work with our customers and OpenAI Forward Deployed Engineers to design and implement scalable solutions that solve their most difficult problems. You will design abstractions to solve customer problems, and then use them to scale our speed and quality of delivery across all Forward Deployed engagements.

You will collaborate closely with Sales, Solutions Engineering, Solutions Architects, and Customer Success Managers who work on the same account. You will also work with our Research and Applied Product and Engineering teams to provide insightful customer feedback.

This role is based in NYC. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required.

In this role, you will:

• Embed deeply with strategic customers to understand their business challenges and technical requirements in detail.

• Design, architect, and develop full-stack solutions using an experiment-driven, iterative approach.

• Prepare detailed scopes of work and project plans for both proof-of-concept prototypes and full production deployments.

• Work hands-on with customers' technical teams as a technical expert and trusted advisor, coding side-by-side to drive projects to completion on their infrastructure.

• Collaborate with Product, Research and Applied teams to ensure seamless customer experiences, project success and actionable product feedback

• Contribute to internal knowledge bases, codifying best practices and sharing insights gained from customer engagements to scale the Forward Deployed Engineering function.

You’ll thrive in this role if you:

• 7+ years of professional full stack engineering experience (excluding internships) in relevant roles at tech and product-driven companies - customer-facing experience is highly desirable

• Former founder, or early engineer at a startup who has built a product from scratch is a plus

• Experience with relational databases like Postgres/MySQL

• Have a bias for action and willingness to work iteratively with your customers to deliver the right solution that solves their problem.

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Forward Deployed Software Engineer - SF

Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Model Deployment for Business

Compensation

• $185K – $325K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the team

OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development.

About the Role

We are looking for customer-focused software engineers to build effective custom software that leverages OpenAI’s APIs to solve real customer problems. As an FDSWE, you will work with our customers and OpenAI Forward Deployed Engineers to design and implement scalable solutions that solve their most difficult problems. You will design abstractions to solve customer problems, and then use them to scale our speed and quality of delivery across all Forward Deployed engagements.

You will collaborate closely with Sales, Solutions Engineering, Solutions Architects, and Customer Success Managers who work on the same account. You will also work with our Research and Applied Product and Engineering teams to provide insightful customer feedback.

This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required.

In this role, you will:

• Embed deeply with strategic customers to understand their business challenges and technical requirements in detail.

• Design, architect, and develop full-stack solutions using an experiment-driven, iterative approach.

• Prepare detailed scopes of work and project plans for both proof-of-concept prototypes and full production deployments.

• Work hands-on with customers' technical teams as a technical expert and trusted advisor, coding side-by-side to drive projects to completion on their infrastructure.

• Collaborate with Product, Research and Applied teams to ensure seamless customer experiences, project success and actionable product feedback

• Contribute to internal knowledge bases, codifying best practices and sharing insights gained from customer engagements to scale the Forward Deployed Engineering function.

You’ll thrive in this role if you:

• 7+ years of professional full stack engineering experience (excluding internships) in relevant roles at tech and product-driven companies - customer-facing experience is highly desirable

• Former founder, or early engineer at a startup who has built a product from scratch is a plus

• Experience with relational databases like Postgres/MySQL

• Have a bias for action and willingness to work iteratively with your customers to deliver the right solution that solves their problem.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

XML job scraping automation by YubHub

Location

San Francisco

Employment Type

Full time

Department

Applied AI

Compensation

• $153K – $385K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

The ChatGPT team works across research, engineering, product, and design to bring OpenAI’s technology to the world.

We seek to learn from deployment and broadly distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. We aim to make our innovative tools globally accessible, transcending geographic, economic, or platform barriers. Our commitment is to facilitate the use of AI to enhance lives, fostered by rigorous insights into how people use our products.

About the Role

We are looking for an experienced fullstack engineer to join our new ChatGPT Growth team to spearhead high-impact projects that amplify the user base of ChatGPT and Plus Subscribers. Your role will include projects such as optimizing account access, notifications, SEO, fostering value discovery, and virality. As we are in the nascent stages of growth at OpenAI, we will rely on you to discover pivotal areas where strategic bets or incremental efforts can catalyze significant impact. We value engineers who are impact-driven, autonomous, adept at discerning crucial insights from experimental results, and have a strong intuition for how to remove barriers to unlocking the magic of ChatGPT.

In this role, you will:

• Drive long-term growth of ChatGPT through a combination of data analysis, product ideation, and experimentation to optimize product experiences.

• Plan and deploy backend APIs necessary to power these product experiences.

• Execute on projects by working closely with research, product, design, data science and other members of product teams to land impact on product goals.

• Create a diverse and inclusive culture that makes all feel welcome while enabling radical candor and the challenging of group-think.

You might thrive in this role if you:

• Shipped features on web that optimize the user funnel, such as landing pages, product pages, purchase flows, search flows, etc.

• Are highly analytical and have experience designing and implementing A/B tests, with a scientific approach to data-based experiments. You know exactly what and how to track business metrics and KPIs.

• Have a voracious and intrinsic desire to learn and fill in missing skills. An equally strong talent for sharing that information clearly and concisely with others

• Are comfortable with ambiguity and rapidly changing conditions. You view changes as an opportunity to add structure and order when necessary

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

XML job scraping automation by YubHub

Location

San Francisco

Employment Type

Full time

Department

Applied AI

Compensation

• $293K – $325K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

Job Description

OpenAI’s charter calls on us to ensure the benefits of AI are distributed broadly and safely. Our Health AI team focuses on expanding access to high-quality medical expertise and aims to set a high standard for deploying AI responsibly in high-stakes domains.

Improving health will be one of the defining impacts of AGI. Today, millions of people lack access to reliable medical information, and clinicians around the world face increasing time and resource constraints. We are building AI systems that support patients, clinicians, and health workers, while meeting the highest standards for safety, reliability, and privacy.

We are seeking full stack software engineers to help build and scale products used by consumers and care providers globally. You will work closely with product, design, and research teams to ship real systems in a fast-moving, high-impact environment.

Responsibilities

• Design and build scalable fullstack systems for consumer and enterprise health.

• Own end-to-end feature development—from early design and implementation through deployment, monitoring, and iteration.

• Build and maintain data pipelines and services that meet strict privacy, security, and compliance requirements (e.g., HIPAA).

• Collaborate closely with researchers and safety teams to integrate reliability, evaluation, and guardrails into production systems.

• Debug, optimize, and harden systems to support high availability, performance, and global scale.

• Take ownership of ambiguous problems and drive them to practical, high-quality solutions.

Requirements

• Are deeply motivated by improving health outcomes and expanding access to medical expertise.

• Are a strong engineer who enjoys building durable, well-designed systems.

• Have 5+ years of experience writing maintainable, production-quality code.

• Can operate with high agency—owning problems end-to-end with minimal supervision.

• Enjoy working in fast-moving, cross-functional teams with engineers, product managers, designers, and researchers.

• Are comfortable doing unglamorous but essential work when it is needed for the mission (e.g., compliance, data plumbing, reliability).

• Stay goal-oriented rather than tool-oriented, choosing what works over what is fashionable.

• Are thoughtful about the societal impact of AI and aligned with OpenAI’s mission to ensure AGI benefits all of humanity.

Bonus if you have

• Strong product engineering instincts—able to take a rough spec and ship a polished solution.

• Entrepreneurial drive or previous experience as a founder.

• Prior experience with health-related products.

• High-quality public code (e.g., GitHub projects, open-source contributions).

• Experience building compliant or regulated products (healthcare, enterprise, finance, or similar).

• Experience with distributed systems, backend architecture, or large-scale data pipelines.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

XML job scraping automation by YubHub

Location

Remote - US; San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Applied AI

Compensation

• $153K – $385K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

At OpenAI, we’re building the connective tissue between our mission and our people. People Innovation Labs is a fast-moving engineering team embedded in the People organization, focused on rethinking how we find and retain the best talent and empower everyone to do their best work. From recruiting to culture, we’re designing systems that give our People Team a significant edge by infusing OpenAI’s models and first-principles thinking into every aspect of our work. Our projects range from greenfield 0-1 products like OpenHouse (our internal knowledge hub) to AI-powered automations and scalable recruiting tools. We’re defining the future of work at OpenAI, creating a blueprint for how AI can supercharge productivity, culture, and innovation.

About the Role

We are looking for a self-starter engineer who loves building new products in an iterative and fast-moving environment. This team is for full stack product engineers who are deeply curious about culture, recruiting and people development, and want to know everything from the business strategy and metrics down through the code that gets us there. In this role, you will work with members of the People Team and leaders across the company to build software focused on HR, culture and recruiting from the ground up. You’ll also innovate on how we apply LLMs in these domains.

In this role, you will:

• Own the full product development lifecycle for new people products end-to-end

• Talk to internal stakeholders to understand their problems and design solutions to address them

• Work with the research team to share relevant feedback and iterate on applying their latest models

• Collaborate with a cross-functional team of engineers, HRBPs, recruiters, researchers, product managers, designers, and people in operations to create cutting-edge products

Your background might look something like:

• 4+ years of professional engineering experience (excluding internships) in relevant roles at tech and product-driven companies

• Former founder, or early engineer at a startup who built a product from scratch is a plus

• Interest in building company culture and/or recruiting the world’s most talented people

• Proficiency with JavaScript, React, and other web technologies

• Proficiency with a backend language (we use Python)

• Some experience with relational databases like Postgres/MySQL

• Interest in AI/ML (direct experience not required)

• Ability to move quickly in an environment with loosely defined tasks and competing priorities or deadlines

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

XML job scraping automation by YubHub

San Francisco

Employment Type

Full time

Department

Applied AI

Compensation

• $230K – $385K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

The Monetization team is a new cross-functional group working across engineering, product, research, and design to build the foundational systems that will help OpenAI scale access to intelligence responsibly. Our mission is to develop user-first, privacy-preserving monetization products—including next-generation ads experiences—that strengthen user trust, unlock economic opportunity, and support OpenAI’s long-term innovation.

Monetization plays a critical role in enabling OpenAI to continue pushing the boundaries of AI capabilities while ensuring the benefits of AGI are broadly shared. We believe monetization must be aligned with user value, uphold rigorous privacy and safety standards, and sustain a healthy ecosystem of developers and businesses.

This team operates in a greenfield environment and moves quickly through prototyping, experimentation, and iterative deployment. We partner closely with Product, Design, and Research to bring research breakthroughs into real-world systems at global scale.

About the Role

We’re looking for experienced Software Engineers to help build OpenAI’s foundational ads ranking and recommendation systems—the ML and AI platforms that determine how monetized experiences are selected, ordered, and optimized across OpenAI products.

In this role, you’ll architect and implement large-scale, high-performance ML-driven systems with rigorous requirements around latency, correctness, safety, privacy, and continuous improvement. You’ll work on modern, transformer- and LLM-inspired architectures that move beyond traditional feature engineering toward more expressive, context-aware decisioning. Your work will have a direct revenue impact and make ChatGPT and other products accessible to more people with fewer usage limits or without having to pay.

This is a deeply technical, 0→1 founding-stage role where you’ll operate across backend engineering, systems design, and applied AI/ML to help define the next generation of AI-native monetization and recommendation platforms.

This role is exclusively based across our San Francisco and Seattle sites. We offer relocation assistance to new employees.

In this role, you will:

• Architect, build, and evolve large-scale ads ranking and recommendation systems using modern ML and AI techniques

• Design and productionize LLM- and transformer-inspired models that leverage sequential signals, long-horizon context, and sparse or delayed feedback.

• Develop model-driven decision logic and inference pipelines that operate under real-world constraints around performance, reliability, and privacy.

• Partner closely with Product, Design, and Research to define requirements and translate ambiguous product goals into scalable ML systems.

• Prototype, experiment, and rapidly iterate on new model architectures and training approaches to improve relevance, quality, and efficiency.

• Build services and infrastructure that support training, evaluation, online inference, and continuous optimization of ML models.

• Establish strong measurement, experimentation, and debugging practices to understand model behavior and system-level outcomes.

• Contribute to technical strategy and help shape the long-term evolution of OpenAI’s monetization and recommendation stack.

• Embed safety, fairness, and policy considerations directly into model design and system architecture from first principles.

You might thrive in this role if you:

• Have 6+ years of experience building and scaling ML-powered systems in production environments.

• Have worked on ranking, recommendation, ads, marketplaces, or large-scale ML inference systems.

• Are comfortable operating across the full stack — from model development to backend services and production deployment.

• Enjoy deeply technical 0→1 problem spaces where architecture, strategy, and implementation overlap.

XML job scraping automation by YubHub

San Francisco; Seattle

Employment Type

Full time

Department

Applied AI

Compensation

• $230K – $385K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

The Knowledge Innovation team is scaling OpenAI with OpenAI. We are building an AI powered knowledge system that evolves and learns as our products, systems and customers evolve. We leverage our state of the art models, technologies, and products (some external, some still in the lab) to assist or completely automate robust operations supporting both internal and external customers. We support OpenAI customers and internal partners globally, powering systems from customer support to integrity to product insights. We are a self-contained multi-disciplinary team, who enjoy a lightning fast feedback loop with customers at scale, some of whom sit just a few pods away. We iterate fast, and engineer for reliable long-term impact. We're constantly looking for the similarities and patterns in different types of work, and focus on building simple primitives, to apply world class knowledge to many domains.

The work of this team exemplifies use of OpenAI technologies. We build systems so everyone can see the leverage that is possible with well designed AI-based implementations. We do this by working through internal use cases focused on Customers (specifically knowledge systems, automation systems, and automated agent systems) to prove impact, then we scale.

About the Role

We’re looking for Full Stack Engineers who're passionate about blending production-ready platform architecture with new tech and new paradigms. You’ll push the boundaries of OpenAI’s newest technologies to enable interactions and automations that are not only functional, but delightful. We value proactive, customer-centric engineers who can get the foundational details right (data models, architecture, security) in service of enabling great products.

In this role, you will:

• Own the end-to-end development lifecycle for new platform capabilities and integrations with other systems
• Collaborate closely with engineers, data scientists, information systems architects, and internal customers to understand their problems and implement effective solutions
• Work with product and research team to share relevant feedback and iterate on applying their latest models

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Apply

We usually respond within a day

About Us:

Fifth Dimension is bringing vibe working to document-heavy industries. Today we work with real estate businesses in the US, EU and APAC, automating complex tasks, extracting valuable insights from documents, and empowering professionals to focus on high-impact work. Our AI workspace transforms how large investment managers and developers handle leases, development documents, and investment decisions.

We're a London and New York based startup with an ample runway, backed by Tier 1 European and American investors. Our founders, Johnny Morris and Dr. Kate Jarvis bring a powerful blend of expertise: Johnny has 17+ years applying data and analytics to Real Estate, while Kate holds a Stanford PhD and 12 years of executive experience across Silicon Valley and London startups.

At Fifth Dimension, we're demanding yet encouraging, valuing experimentation and kind challenges. Our company values, Own It, Ship It, and Don't Be Boring, drive us to deliver exceptional results while fostering a culture of innovation and continuous improvement.

The Challenge

It's 9 AM on a Monday. You're reviewing usage analytics from last week's release and notice a drop-off in a key workflow—you sketch out a hypothesis and a fix before standup. By noon, you've shipped a prototype using Claude Code that rethinks how users navigate large document sets, and you're demoing it to a product manager and a customer success lead. By Wednesday, you're on a call with a major real estate firm, listening to how they actually use the platform day-to-day—and you spot an opportunity nobody had articulated yet. By Thursday, you've shaped that insight into a spec, got buy-in, and started building. By Friday, you're celebrating with the team as a customer tells you: "This is exactly what we needed."

About You

You've honed your craft through years of practice across the full stack, from performant backends and well-designed APIs to responsive, polished frontends. You have strong product intuition—you know how to talk to customers, read between the lines of a feature request, and make pragmatic trade-offs between scope, speed, and quality.

You're proficient with AI coding assistance tools like Claude Code, leveraging them to accelerate development and focus on higher-level product and architectural challenges. You understand that modern engineering means effectively collaborating with AI to maximise your productivity and creative potential.

Details don't escape you. You take pride in the end-to-end user experience—from the API contract to the loading state to the edge case that only one customer hits. As someone who thrives in fast-paced environments, you adapt quickly and mentor other engineers while collaborating effectively with commercial teams and customers.

You're passionate about your personal growth and see each complex problem as an opportunity to expand your capabilities. You actively seek challenges that push the boundaries of what's possible and value environments where you can both contribute your expertise and continue to evolve as an engineer.

Your Impact

Reporting to our CTO Chen, you'll own and shape core product areas end-to-end—from discovery and design through to architecture, implementation, deployment, and customer adoption. Working closely with our skilled engineering team and commercial stakeholders, you'll combine deep technical ability with strong product sense to build capabilities that deliver tangible value to enterprise customers and drive the business forward.

Day to Day, You Will

• Think like a Product Manager+: Own core product areas while balancing technical excellence with business impact—you don't wait for a spec, you help write it

• Own end-to-end delivery of complex features from discovery and definition through to production deployment and customer adoption

• Talk to customers regularly—understanding their workflows, pain points, and unarticulated needs to inform what you build

• Collaborate with product, design, and commercial teams to shape the roadmap and translate customer insight into robust technical solutions

• Leverage AI coding tools like Claude Code to accelerate development workflows

• Lead development of the systems that underpin our platform:

• Scalable APIs and backend services that power document processing, data extraction, and agentic workflows

• Reliable streaming and event-driven architectures for real-time user experiences

• Frontend experiences that make powerful AI capabilities intuitive and accessible

• Integrations with enterprise systems and third-party platforms

• Implement data privacy and security by design

• Champion engineering best practices: testing, observability, CI/CD, and infrastructure-as-code

• Mentor other engineers and help establish engineering and product-thinking best practices

• Invest in your own growth by taking on ambitious technical challenges and expanding your expertise

• Apply our engineering philosophy: intellectual honesty, effective time management, clear communication, and innovation

Our Values and Engineering Culture

At 5D, we embody three core principles: Own it, Ship it, and Don't be boring.

Our engineering team values:

• Product-Minded Engineering: Understanding the "why" behind features and using technical expertise to inform product decisions

• Intellectual Honesty: Backing discussions with data and acknowledging knowledge gaps

• Effective Time Management: Setting clear timebox and abandoning approaches that aren't working

• Clear Communication: Writing self-documenting code and providing detailed explanations

• **Innovation Minds

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What you'll do

The Senior eCommerce Full Stack Developer will be responsible for designing, developing, and maintaining scalable solutions for the Corsair eCommerce platform across multiple business units. This includes collaborating with business stakeholders, UX designers, and engineering teams to gather requirements and implement robust technical solutions.

• Design, develop, and maintain scalable solutions for the Corsair eCommerce platform across multiple business units
• Collaborate with business stakeholders, UX designers, and engineering teams to gather requirements and implement robust technical solutions

What you need

• 5+ years of experience as a full stack developer with strong expertise in modern web technologies
• Strong proficiency with Progressive Web Apps, React.js, Next.js, Node.js, and modern JavaScript frameworks
• Strong TypeScript experience with ability to write type-safe, maintainable code

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What you'll do

• Administer and scale Perforce Helix Core (commit/edge servers, replication, streams)
• Troubleshoot syncs, changelists, stream access, queues, and replication delays
• Support users of all technical levels with source control issues (p4 sync, p4 unlock, etc.)
• Analyse Perforce logs and infrastructure telemetry to resolve system issues
• Tune and maintain Linux servers across VM, bare metal, and cloud environments
• Automate systems using Ansible or similar tools (Terraform optional)
• Contribute to CI/CD pipelines for both internal tooling and game teams
• Build dashboards and alerts with KQL, Grafana, or similar observability tools
• Extend and maintain the .NET-based Perforce management application

What you need

• 5+ years of Linux (tuning, mounting, troubleshooting, scripting)
• 3+ years of DevOps automation with tools like Ansible, Terraform, or similar
• 3+ years with client-server source control systems (e.g., Perforce, ClearCase); Perforce preferred
• Strong understanding of source control commands and workflows(p4 sync, changelists, streams, queues)
• Experience analysing logs and resolving infrastructure-level issues
• Familiarity with VM, bare metal, and cloud infrastructure in scaled environments
• 2+ years of .NET full stack (C#, ASP.NET, HTML/JavaScript)
• Experience with CI/CD pipeline systems
• Proficiency with monitoring tools such as KQL, Grafana, or equivalent

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