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About the team The Agent Enablement Applied AI Engineering team works across engineering, product, design, partnerships, and strategic customers to grow an open ecosystem of agent-enabled sites and services. We help partners adopt the OpenAI tech stack related to identity, permissioning, agent-auth primitives so users can safely connect ChatGPT and Codex to the tools, services, and workflows they already use. Our team also works with external partners on defining the standards for agent access, marketplace offerings as well as other agent enablement initiatives to ensure users of ChatGPT and Codex go from intent to task completion seamlessly. About the role We are looking for an Applied AI Engineer to help strategic partners design, build, validate, launch, and operate agent enablement integrations across web applications, connectors, APIs, CLIs, MCP servers, and developer tools. This is a hands-on, partner-facing product engineering role for someone who can contribute to the platform itself, lead sophisticated technical engagements, and turn ambiguous identity and agent-workflow requirements into secure, production-ready integrations. You will work across partner product and engineering teams and OpenAI’s product, engineering, design, partnerships, legal, policy, security, support, and go-to-market teams. You will identify high-value user journeys, choose the right integration path, prototype and review architectures, write code, run evaluations and dogfood, trace failures end to end, guide launch and rollout, and support post-launch iteration. The best person for this role moves fluidly between full-stack code, OAuth/OIDC and identity systems, product judgment, project leadership, and clear communication with engineers and executives. This role is a fit for a product-minded engineer who wants to stay close to users and partners while going deep on authentication, permissions, reliability, safety, and developer experience. The principle objective is to help partners ship low-friction, trustworthy agent experiences that work across real-world account states, enterprise constraints, and user expectations. This role is based in our San Francisco office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Own the technical partner journey for priority agent enablement integrations—from use-case selection and readiness assessment through architecture, prototype, implementation, evaluation, launch, rollout, and ongoing maintenance. Help partners choose and implement the right integration path across browser sign-in, connector-initiated OAuth, and agentic account linking or provisioning, with clear user journeys and safe fallback behavior. Write production and sample code, build reference implementations and test harnesses, and create the technical guidance, integration checklists, evaluations, and debugging tools that move partners from concept to production. Debug identity and agent workflows end to end: user interface state, browser redirects, PKCE/OIDC transactions, token exchange and validation, account mapping, connector callbacks, CLI or MCP handoffs, latency, retries, rate limits, logs, traces, and metrics. Review partner architectures and implementation plans for API contracts, scopes and permissions, consent, terms acceptance, and account policy, secret handling, data boundaries, privacy, reliability, and long-term maintainability. Run hands-on evaluations, dogfood, launch-readiness reviews, staged rollouts, and post-launch investigations; turn findings into concrete fixes rather than one-off workarounds. Contribute targeted improvements to ChatGPT, Codex, and the Agent Enablement platform, including identity protocols, APIs, SDKs, docs, examples, internal tooling, partner-debugging workflows, launch guardrails, and user-facing consent or control experiences. Work closely with product, engineering, design, partnerships, legal, policy, security, support, and go-to-market teams to make partner launches smooth, safe, and repeatable. Bring structured signals from partners back to product and engineering, and turn recurring integration patterns into platform requirements, reference architectures, playbooks, and developer guidance. You’ll thrive in this role if you: Have 4–6 years of professional software engineering or AI engineering experience and are strong enough technically to contribute to the platform itself while still enjoying hands-on coding. Have operated in a customer or partner facing roles in scoping projects, building MVPs, presenting trade-offs in solution design and architecture, understanding user value drivers as well as scoping and executing on tight implementation plans. Have built and operated production full-stack products, APIs, backend services, developer platforms, connectors, or integrations, and can reason across frontend, backend, auth, data models, reliability, privacy, and UX constraints. Have a strong understanding of how plugins and connectors work with coding agents, integrating MCP servers, using CLIs and APIs to access external tools. Can work comfortably with external engineers, product leaders, and executives, and translate partner feedback into crisp technical plans and product improvements. Are comfortable with ambiguity and rapidly changing conditions, and can turn high-level ideas into runnable prototypes, API contracts, technical specs. Balance urgency with judgment and can keep complex partner launches moving while staying precise about the details that matter. Preferred qualifications: High-level understanding of the identity stack, including how OAuth works. Experience designing or operating APIs, webhooks, schemas, SDKs, CLIs, MCP servers, tool-calling systems, or other developer-facing integrations. Prior customer-facing or partner-facing engineering experience, including leading technical calls, navigating ambiguity, and helping external teams ship production software. Strong familiarity with AI products, LLM APIs, ChatGPT or Codex surfaces, coding harnesses, developer platforms, agent workflows, or ecosystem products. Experience with evaluations, staged rollouts, observability, incident response, launch operations, and turning production learnings into durable platform improvements. 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. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
About the Team The ChatGPT Model Flywheel team unified goal is to transform model advancements into great ChatGPT user experiences through reliable serving, rapid experimentation, safe deployment, and continuous improvement. Team Focus Areas Model Experimentation: Enable rapid, safe model validation for ChatGPT and Codex products through experiment automation and lifecycle management. Model Deployment: Ensure safe, scalable deployment of model capabilities with robust rollout and operational tooling. Automate capacity management and incorporate platform-wide health monitors. Model Measurement: Build comprehensive evaluation and measurement systems for model quality, from user signals to launch scorecards. Improve end-to-end feedback loops for continual model improvement. Key Partnerships Collaborate cross-functionally with teams including Model Measurement DS, Research, Codex, Fleet, Inference, and API. In this role, you will: Elevate and consolidate ChatGPT’s harness, context management, and system prompt frameworks. Drive expansion and improvement of multi-tier model experiences. Support and scale self-serve experiment capabilities and automated guardrails. Lead model rollout automation, capacity management, and health monitoring. Shape end-to-end measurement systems (evals, grader signals, user feedback, etc.). You might thrive in this role if you have: Proven experience leading engineering teams in complex, cross-functional environments. Demonstrated success shipping production systems at scale (ideally for AI or large backend services). Deep understanding of model-driven product development, deployment lifecycle, and measurement tooling. Excellent communication and collaboration skills—experience interfacing directly with engineering, research, and product stakeholders. Prior involvement with large language models, distributed infrastructure, or experimentation platforms is a plus. Why Work With Us Tackle highly impactful technical challenges at the cutting edge of AI. Collaborate with world-class researchers, engineers, and product leaders. Build infrastructure and experiences used by millions. Shape the future of how people interact with AI. If you’re passionate about advancing AI reliability, safety, and user impact at a global scale, we encourage you to apply! 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. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Enterprise Applied AI Engineer, you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. In this role, you will: Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria. Design, build, and deploy AI systems that solve important customer problems and produce measurable business outcomes. Work hands-on in code to build prototypes, evaluation harnesses, reference implementations, integrations, and production accelerators. Make sound technical decisions across models, agents, retrieval, tools, data, reliability, observability, latency, cost, safety, security, and governance. Diagnose complex implementation challenges, reproduce failures, test hypotheses, and drive blockers toward resolution. Help customers progress from promising prototypes to reliable production systems, sustained adoption, and scaled impact. Partner closely with customer engineering teams and OpenAI Product, Research, Engineering, Security, and go-to-market teams, translating deployment experience into high-signal product feedback. Create reusable architectures, tooling, playbooks, and technical guidance that accelerate future enterprise deployments. You’ll thrive in this role if you: Have a demonstrated track record of designing, building, and delivering AI or machine-learning systems in enterprise environments, including taking systems from prototype to production. Relevant backgrounds may include applied AI or ML engineering, forward-deployed engineering, software engineering, customer engineering, solutions architecture, or technical consulting. Can point to substantial personal contributions in code, architecture, evaluation, debugging, or production engineering—not only program or stakeholder management. Are highly proficient in Python and comfortable working across an AI application stack; experience with JavaScript, TypeScript, or another relevant language is valuable. Understand how to evaluate AI systems systematically using representative data, graders, production signals, and human judgment. Have navigated enterprise production requirements such as integrations, reliability, observability, security, privacy, data governance, performance, and cost. Can connect technical decisions to customer workflows, adoption, and measurable business outcomes. Communicate with clarity and credibility across hands-on engineers, technical leaders, security teams, product leaders, and executives. Bring high agency, strong technical judgment, and end-to-end ownership in ambiguous environments. Learn quickly, challenge assumptions constructively, and collaborate with humility; experience in a particular industry or with OpenAI products is not required. 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. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
About the Team The HR Business Partner (HRBP) team at OpenAI helps shape how our organization operates and performs. We work alongside senior leaders and their teams to design effective organizations, strengthen leadership capabilities, and help people do their best work. Our expertise spans leadership coaching, organizational design, talent strategy, employee relations, and change management. Our work is grounded in a deep understanding of OpenAI’s Contributions & Impact (C&I) culture and the needs of teams working at the frontier of AI and hardware. We operate with urgency, empathy, and sound judgment. We value sincerity over polish, collaboration over ego, and a relentless focus on meaningful impact. About the Role We’re looking for an experienced HR Business Partner to support OpenAI’s Consumer Device's team. This is an opportunity to partner closely with leaders and teams doing highly ambitious, multidisciplinary work. You’ll serve as a trusted advisor as the organization builds, collaborates, and evolves—helping create the conditions for people and teams to perform at their best. The role combines strategic advising with hands-on partnership. You’ll help leaders think through organizational questions, coach managers through complex situations, strengthen people practices, and make thoughtful trade-offs that balance the needs of our people, teams, and mission. This is an individual contributor role. Come build with us. Your Key Responsibilities Shape high-performing, resilient teams: Partner with leaders on organizational design, talent planning, and ways of working that support strong performance and sustainable teams. Advise with context and judgment: Develop a deep understanding of the organization and provide thoughtful guidance on people, leadership, and organizational matters. Collaborate across OpenAI: Work closely with fellow HRBPs, People centers of excellence, and cross-functional partners to create a cohesive employee experience rooted in humanity, humility, and impact. Evolve people programs: Strengthen approaches to performance, engagement, and talent development by building solutions that are practical, scalable, and aligned with how OpenAI operates. Guide and develop managers: Offer candid, actionable feedback and help managers build the skills needed to lead effectively. Anticipate and solve problems: Stay close to the work, identify challenges early, diagnose root causes, and develop durable solutions as priorities evolve. Lead meaningful change: Help teams navigate organizational change with empathy, clarity, and rigor, including when established playbooks do not exist. We’re Seeking Deep HRBP expertise: At least five years of experience as an HR Business Partner supporting hardware, engineering, or similarly technical organizations in fast-moving environments. Experience with multidisciplinary teams: An ability to understand and support organizations that bring together different technical, creative, and operational disciplines. Strategic partnership: The ability to see the broader organizational picture, guide leaders through difficult trade-offs, and adapt as circumstances change. Impactful coaching: Skill in delivering candid feedback with care and strengthening leadership capability across an organization. Resourceful problem-solving: Sound judgment and the ability to diagnose complex challenges, test thoughtful solutions, and establish a path forward without an existing playbook. Calm, clear change leadership: Steadiness, empathy, and influence during moments of ambiguity or transition. High integrity: A reputation for discretion, fairness, and trustworthiness, particularly when the stakes are high. Workplace & Location This role is based in San Francisco, with an in-office schedule on Monday, Tuesday, Thursday, and Friday. We are not considering remote applications at this time. We offer relocation support to new employees. 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. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
About the Team OpenAI's Compensation team plays a crucial role in rewarding and retaining world-class talent who will ensure that artificial general intelligence benefits all of humanity. By crafting and implementing innovative compensation strategies, we ensure our compensation offerings are competitive, equitable, and aligned with OpenAI's mission to scale intelligently and ethically. About the Role We are expanding our Compensation team and seeking a Compensation Business Partner to help build the compensation pillar for our go-to-market organization. This is a hands-on individual-contributor role for someone who brings deep GTM compensation expertise and enjoys turning evolving business needs into practical, scalable programs. As a member of the total rewards team, you will partner closely with GTM leaders, HR Business Partners, Recruiting, Finance, and other cross-functional teams. You will spearhead compensation work across benchmarking, offer review, program design, and job architecture, with particular focus on the needs of a rapidly growing commercial organization. The shape of the work will evolve as the business grows. At times, you may independently lead key initiatives from strategy through execution. At other times, you will work alongside additional compensation partners and cross-functional resources. Success in this role requires comfort operating with ambiguity, strong judgment, and a willingness to stay close to the details while building for scale. This is an individual contributor role, designed for a subject-matter expert and hands-on builder. In this role, you will: Build and evolve compensation programs that support OpenAI’s growing GTM organization. Serve as a trusted compensation advisor to GTM leaders, HR Business Partners, Recruiting, and Finance. Lead compensation analysis and approval for offers, balancing market context, internal consistency, and OpenAI’s compensation philosophy. Own benchmarking and market analysis for GTM roles, translating insights into clear recommendations and scalable practices. Partner on the design and optimization of sales compensation programs, job architecture, and related compensation frameworks. Develop approaches that can flex with changing business priorities, organizational growth, and new talent needs. Move fluidly between strategic design and hands-on execution, including building processes and operating mechanisms where they do not yet exist. Collaborate with the broader Compensation team to share insights and strengthen company-wide programs. You might thrive in this role if you have: 6+ years of compensation experience, including meaningful depth supporting GTM or commercial organizations. Strong expertise in sales compensation, GTM benchmarking, and compensation program design. Experience building or materially evolving compensation programs in a fast-growing, dynamic organization. A builder mindset: you are energized by ambiguity and comfortable creating structure as the business evolves. Strong analytical judgment and the ability to translate complex data into practical recommendations. Excellent communication skills and the ability to build trust with senior stakeholders and cross-functional partners. The ability to work independently while collaborating closely with a broader team. Experience with job architecture is strongly preferred. Location and Workplace This role is based in our New York or San Francisco office and we aren’t considering remote applications at this time. We use a hybrid work model of 3 days in the office with optional work from home on Thursdays and Fridays. We also offer relocation assistance to new employees. Our open-plan offices have height-adjustable desks, conference rooms, phone booths, well-stocked kitchens full of snacks and drinks, three in-house prepared meals daily, outdoor space for working and socializing, wellness rooms, private bike storage, and more. 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. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
About OpenAI OpenAI is dedicated to ensuring that artificial general intelligence (AGI) benefits all of humanity. Our mission requires building not only world-class AI models, but also the infrastructure that enables those models to be deployed reliably, efficiently, and at global scale. As demand for AI continues to grow, we are expanding the ways OpenAI can bring high-performance inference capacity online across a diverse hardware ecosystem. About the Team The GPT Infrastructure team builds software that turns advanced inference and optimization research into production products. One focus is enabling strategic infrastructure partners and accelerator vendors to qualify and onboard new compute without a bespoke porting and optimization effort for every hardware platform. We build the control planes, APIs, secure partner-side execution environments, evaluation systems, artifact pipelines, and operational tooling that make these workflows repeatable and trustworthy. The work sits at the intersection of distributed systems, AI inference, compilers and runtimes, performance engineering, security, and external partnerships. About the Role We are seeking an experienced systems generalist who can work comfortably across the stack to help build an automated inference optimization platform. Given a workload, target hardware profile, compiler and runtime context, and a trusted verifier, the system runs durable optimization campaigns that generate, compile, execute, grade, and improve candidate kernels, runtime configurations, and serving-stack changes. You will design both the OpenAI-hosted control plane and the partner-side software that evaluates candidates on real accelerator hardware. The product must keep long-running workflows reliable, make performance results reproducible, and maintain clear trust boundaries around sensitive model and hardware information. This is a deeply cross-stack role, combining strong software engineering fundamentals with systems thinking and performance intuition. You will work closely with research, inference engineering, infrastructure, security, product, and strategic partners to turn a powerful research workflow into a scalable product. Key Responsibilities Design, build, and operate durable APIs and control-plane services for multi-hour or multi-day optimization campaigns, including scheduling, retries, budgets, checkpoints, artifact lineage, and observability. Build secure partner-side runner and grader software that can compile, execute, verify, and benchmark candidate artifacts on third-party accelerator hardware. Integrate hardware profiles, ISA and toolchain context, compilers, runtimes, and inference-serving engines into a repeatable optimization workflow. Turn research prototypes into reliable product surfaces with clear contracts, debuggable failure modes, reproducible outputs, and excellent developer ergonomics. Develop correctness and performance evaluation systems spanning latency, throughput, memory use, utilization, and cost efficiency. Build artifact, provenance, and qualification workflows that make optimized kernels, binaries, configurations, and reports safe to review and deploy. Collaborate with Research, Inference Engineering, Infrastructure, Security, Product, and Strategic Partnerships to deliver production-ready solutions. Drive technical architecture and execution across ambiguous, cross-functional initiatives that connect OpenAI systems with partner environments. Basic Qualifications 8+ years of professional software engineering experience building large-scale distributed systems, infrastructure platforms, or cloud services, or equivalent depth of experience. Strong programming skills in one or more of C++, Python, Go, or Rust. Experience designing and operating highly available backend systems, APIs, job orchestration systems, or durable workflows for production workloads. Strong understanding of distributed systems, Linux, networking, storage, containers, and modern cloud architectures. Experience debugging complex systems and using measurement, profiling, and benchmarks to guide engineering decisions. Proven ability to lead complex technical initiatives as a senior individual contributor and work effectively across organizational boundaries. Preferred Skills Experience with AI infrastructure, inference-serving systems, or large-scale machine learning systems. Experience with compilers, runtimes, kernel optimization, or performance engineering; familiarity with technologies such as LLVM, MLIR, Triton, CUDA, or ROCm is a plus. Familiarity with GPUs, accelerators, hardware architecture, ISA concepts, or vendor toolchains. Experience with inference-serving frameworks or engines such as vLLM, SGLang, Triton Inference Server, or similar systems. Experience building developer platforms, external APIs, remote execution systems, or secure partner-facing infrastructure. Experience working with strategic cloud, hardware, or infrastructure partners. 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. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role Supabase is looking for an Event Programs Manager, Developer Community & Ecosystem to help grow and scale our developer community initiatives and industry event programs. You’ll work closely with the Head of Global Events and Field Marketing to build programs that connect Supabase with developers and the broader ecosystem. This includes initiatives such as meetups, workshops, hackathons, and community activations that bring Supabase into the spaces where developers learn, build, and collaborate. As an early member of the events team, you’ll help shape how Supabase shows up in person around the world while building the playbooks and frameworks that allow these programs to scale globally. This role sits within Field Marketing and works cross-functionally across Marketing, DevRel, Partnerships, Sales and Design to support programs that deepen developer engagement, strengthen ecosystem relationships. You will also support programming around Supabase Select, our flagship user conference, including partner and community programming connected to the event. We’re a lean, remote-first team, so this role requires someone who is comfortable operating independently, experimenting with new ideas, and helping build the systems that will power Supabase’s events program as it grows. What You’ll Do Own and Scale Community Programs Scale Supabase developer meetups, workshops, and hackathons globally Partner with DevRel to align community events with product launches and developer education initiatives Coordinate community meetups around major industry events and Launch Week Support community programming connected to Supabase Select Support the SupaSquad advocate network through community activations Support Industry Event Activations Support Supabase’s presence at conferences such as AWS re:Invent, KubeCon, Stripe Sessions, Dash, and other events Coordinate developer-focused side events, meetups, and partner activations around major conferences Collaborate with Partnerships on co-hosted events Turn Experiments Into Scalable Programs Build playbooks and frameworks for community and ecosystem programs Identify opportunities to scale successful initiatives across regions Standardizing event formats and processes as program grow Collaborate Across the Events Team Partner with the events team on logistics and execution for community programs Support promotion and event readiness with Marketing Help ensure strong attendee experiences and post-event follow-up Who You Are 5–7+ years in field marketing, developer marketing, community programs or partner marketing Experience working with developer communities or technical audiences Strong project management and organizational skills Comfortable collaborating cross-functionally Curious about developer ecosystems and the communities around modern infrastructure Able to manage multiple initiatives in a fast-moving environment Comfortable working remotely and independently Willing to travel for events as needed Nice to Have Experience supporting developer meetups, hackathons, or workshops Experience with community-led growth or developer advocacy programs Experience running ecosystem or partner-led event programs What We Offer Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. About the Team Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. ~400 team members 60+ countries 20+ languages spoken Over $1B raised (including our $500M Series F) 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.
About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role We're looking for engineers to join the team building Supabase Lite , a lightweight, TypeScript-native implementation of Supabase. It runs interchangeably on SQLite and Postgres and ships a PostgREST and Auth compatible API, so applications written against @supabase/supabase-js work as-is. It exists because AI builders and platform partners need a database they can give to every prototype without the cost or the wait: sub-second provisioning, a footprint small enough to run inside a sandbox, and an upgrade path to full Supabase when an app graduates to production. This is a role with a lot of agency. Small team, working product, patterns still to be set - you'll own large areas end to end and make real decisions from day one. What You'll Be Responsible For In this role, you'll: Grow API compatibility with the Supabase client, keeping behavior faithful to hosted Supabase and backed by conformance tests Bring more of the Supabase stack to SQLite Build and harden the path for upgrading a project from Supabase Lite to full Supabase Own the developer experience end to end: the CLI, local tooling, and docs Build and harden the hosted offering on a scale-to-zero, near-zero-cost footing, kept loosely coupled so the implementation can be swapped without a rewrite Work directly with design partners and turn real-world migration and integration friction into a sharper product Engage with the open-source community and contribute back to the broader Supabase stack. You Might Be a Good Fit If You Have substantial backend or full-stack experience with strong fluency in TypeScript, and have built or contributed to a backend system, framework, or developer platform before Are a strong generalist, comfortable moving across the stack from API design to storage internals to infrastructure, and picking up whatever the problem needs Read unfamiliar code without friction. A lot of the work means studying reference implementations in other languages, such as GoTrue in Go and PostgREST in Haskell, and matching their behavior in TypeScript Have a solid grounding in SQL and relational databases, and the curiosity to dig into where Postgres and SQLite differ Have a bias toward compatibility and correctness, and reach for tests and specs to prove behavior Think around corners. When everyone reaches for the standard playbook, you look for the simpler path that fits a smaller box — breaking a complex system down to the 20% that covers 80% of the need, then making it run somewhere far smaller than it was designed for Care about developer experience: clean APIs, fast feedback loops, and tooling that makes the right thing the easy thing Are comfortable owning ambiguous, early-stage work and making sound calls that inform and define the spec. This is a founding role on a brand-new team Are comfortable working in public repositories on a remote, async team Communicate clearly in writing Bonus: experience with the Supabase stack, building developer CLIs, or a track record of open-source maintenance. What We Offer Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. About the Team Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. ~400 team members 60+ countries 20+ languages spoken Over $1B raised (including our $500M Series F) 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.