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Strategic Partner Manager Location - San Francisco Bay Area (required) 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. Start in minutes with a fully managed, scalable Postgres database and a suite of tools that eliminate the complexity of backend development. Use one or use all—Supabase gives teams the flexibility of open source with the speed and simplicity of a modern platform, so they can move fast without sacrificing control. About the Role We’re hiring a Strategic Partner Manager to lead our strategic relationships with top AI labs and builders. We’re looking for one of two candidate profiles for this role: Partner Solutions Architect background in previous roles. You’re a technical SME and know how to build relationships with Product/Engineering and Partnerships stakeholders and can navigate a large partner organization Traditional partner management background working with a top-five partner at a high-growth infrastructure technology company. You know how to navigate a large partner organization and go deep with the partner to build integrations, run co-marketing, execute joint GTM initiatives, build relationships across all levels within the partner org, and conduct QBRs. You’ll lead 2–3 strategic partner relationships and serve as Supabase’s quarterback, driving co-build (product integration), co-market, and relationship-building across all levels of the partner organization. This includes facilitating executive touchpoints and running quarterly business reviews. This is a highly visible, execution-oriented role: you’ll work directly with partners to ship integrations, launch joint GTM motions, and drive measurable product adoption. You’ll own your partner set end-to-end — from technical scoping and launch through post-launch growth — working closely with Product, Engineering, Marketing, Sales, Customer Success, and Data to turn partnerships into real business outcomes. This is a high-visibility IC role with direct impact on product adoption, ecosystem expansion, and revenue. This is a build and scale integration partnerships role. You’ll be expected to operate with a lot of ownership and little process at the start. If you enjoy writing the playbook and running it in-market, this role will be a good fit. What You’ll Do Partner Strategy & Ownership Own and grow 2-3 strategic partnerships for Supabase Develop and execute joint GTM plans with defined KPIs (0 to 1 in wins, ARR, pipeline, integrations, adoption) Execute expansion opportunities including co-marketing events, co-sell motions, and joint GTM initiatives Revenue & Pipeline Development Drive sourced and influenced pipeline through partner relationships Enable Sales teams with partner positioning, playbooks, and introductions Collaborate with partners on co-selling opportunities and enterprise deals Cross-Functional Execution Work closely with Product and Engineering on integration roadmaps and technical alignment Coordinate co-marketing initiatives with Marketing (launches, webinars, hackathons, case studies, events) Support partner enablement through training, documentation, and ongoing engagement Partner Management & Relationships Build strong relationships across all levels within the partner organization (from Product/Eng to SA to executives) Track and report on partner performance metrics (ARR, usage, activation, pipeline) Maintain accurate forecasting and partnership health dashboards Identify issues/risks and proactively drive resolution What We’re Looking For 10+ years of experience in partnerships, business development, or platform strategy at a developer tools, cloud, or infrastructure company Strong understanding of developer ecosystems and modern data / infra stacks Demonstrated experience shipping integrations and growing them post-launch Experience owning partners end-to-end: sourcing, technical alignment, negotiation, launch, and growth Commercially minded: comfortable with deal structures, revenue models, forecasting, and KPIs Clear, concise communicator who can align Product, Engineering, Sales, Marketing, and Customer Success teams Highly organized operator who can build programs from scratch and iterate quickly Comfortable operating in ambiguity in a fast-moving, open-source-first environment Data-driven and outcome-oriented Startup experience is a plus 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 the Team The Ecosystem Applied AI Engineering team supports strategic partners as they build high-quality technical integrations into ChatGPT and Codex. Our goal is to create products users depend on, drive adoption and retention, and build an ecosystem where partners win when OpenAI wins. About the Role We are looking for an Applied AI Engineer to help strategic partners design, build, evaluate, submit, launch, and maintain high-utility plugins for ChatGPT and Codex. This is a hands-on, partner-facing product engineering role for someone who can contribute to the platform itself, lead sophisticated partner engagements, and translate ambiguous product needs into production-ready integrations. You will work across partner product and engineering teams and OpenAI's product, engineering, partnerships, legal, policy, design, and go-to-market teams. You will identify the right use cases, prototype and review implementations, run evaluations, debug issues across systems, guide partners through submission and review, and support launch and post-launch iteration. The best person for this role moves fluidly between code, 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 still going deep on code, reliability, evaluations, and developer experience. The goal is to help partners ship plugins that are not merely technically functional, but genuinely useful in ChatGPT and Codex. 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 B2B plugins—from pitch and readiness assessment through architecture, build, evaluation, submission, launch, and ongoing maintenance. Identify strong plugin use cases, define crisp user journeys and expected behaviors, and help partners focus on workflows where ChatGPT or Codex can create meaningful user value. Write production and sample code, build prototypes and reference implementations, and create the technical guidance, evals, launch checklists, and debugging tools that move partners from concept to production. Debug API contracts, OAuth/login, tool invocation, latency, retries, rate limits, observability, data model, and user-experience issues across partner and OpenAI systems. Review partner architectures and implementation plans for API design, scopes and permissions, data handling, safety, privacy, reliability, and long-term maintainability. Contribute targeted fixes and improvements to ChatGPT, Codex, and the plugins platform, including APIs, SDKs, docs, examples, internal tooling, partner debugging workflows, and launch guardrails. Work with product, engineering, design, partnerships, legal, policy, support, and go-to-market teams to make partner launches smooth and repeatable. Bring structured signal from partners back to product and engineering, and turn patterns from successful launches into reusable playbooks, examples, platform requirements, and implementation guidance. You might thrive in this role if you: Have 4-6 years of professional software engineering experience and are strong enough technically to contribute to the platform itself while still enjoying hands-on coding. Have built and operated production APIs, backend services, developer platforms, apps, plugins, connectors, or integrations and can reason across frontend, backend, auth, reliability, privacy, evaluations, and UX constraints. Bring strong product sense and can distinguish a plugin that “works” from one that will be genuinely useful to users. Communicate clearly with external engineers, product leaders, executives, and internal cross-functional stakeholders. Can make ambiguous partner ideas concrete through runnable prototypes, API contracts, technical specs, and pragmatic implementation guidance. Are comfortable reading unfamiliar code, making targeted platform changes, and debugging distributed systems with logs, traces, metrics, and experiments. Care deeply about user trust, privacy, data handling, and product quality in AI-powered experiences. Balance urgency with judgment and can keep launches moving while staying precise about details that matter. Preferred qualifications: Experience with OAuth/login flows, API design, webhooks, schemas, rate limits, observability, SDKs, and production launch operations. Prior customer-facing or partner-facing engineering experience, including leading technical calls, navigating ambiguity, and helping external teams ship production software. Familiarity with AI products, LLM APIs, tool calling, MCP, ChatGPT or Codex surfaces, developer platforms, or marketplace ecosystems. Comfortable making targeted changes across backend services, frontend surfaces, SDKs, docs, internal tools, or monorepo codebases when needed. Strong written communication skills, including docs, implementation notes, launch plans, and partner-facing technical guidance. 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 mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Marketing team helps deeply understand customer audiences and market dynamics, influence the development of the right products, build sustainable and customer-aligned monetization models, and drive awareness, adoption, and usage across OpenAI’s products and platform. We take a data-driven approach to understand markets, develop monetization strategies, and uncover customer needs that shape product strategy and messaging. We partner closely with Sales, Partnerships, Product, Engineering, Research, Comms, and Design to deliver a cohesive end-to-end customer experience and lead go-to-market efforts for new product launches across channels. About the Role As a Product Marketing Manager, Research & Safety , you will shape how the world understands OpenAI’s frontier research and our approach to developing AI responsibly. You will establish the strategic narrative for some of the company’s most important research themes—including frontier capabilities, safety, preparedness, reasoning, and compute—and translate complex technical work into clear, credible stories for researchers, policymakers, and the broader public, working with cross-functional teams to translate that messaging and reach developers and enterprise. Working closely with Research, Safety Systems, Policy, Communications, and Product teams, you’ll lead the go-to-market strategy and messaging for major research and safety initiatives. You’ll develop narratives that build trust, translating technical concepts into tangible artifacts and messaging, drive industry understanding of emerging evaluation frameworks, and help communicate OpenAI’s unique perspective on responsible frontier AI development. You’ll also identify creative and non-traditional ways to bring these stories to the audiences that matter most. In this role, you will: Establish the strategic narrative for OpenAI’s most important research themes, including frontier reasoning, compute, preparedness, RSI, and AI safety. Develop messaging and positioning that translates complex technical research into clear, accessible narratives for diverse audiences. Create initiatives that communicate OpenAI’s perspective on frontier AI and safety through marketing, thought leadership, partnerships, events, and other non-traditional channels. Lead the launch strategy and industry education for frontier evaluation frameworks and help drive understanding and adoption across the AI ecosystem, connecting the dots to broad consumer understanding of the benefits of AI. Own safety and preparedness messaging for major research launches in close partnership with Research, Safety, Policy, and Communications teams. Develop product marketing briefs and narrative frameworks that enable cross-functional teams to tell consistent, compelling stories. Connect research advances to broader conversations around responsible deployment, real-world impact, and OpenAI’s long-term vision for AI. You might thrive in this role if you: Have a demonstrated track record of translating highly technical research and safety concepts into clear, differentiated narratives for technical and non-technical audiences. Have exceptional strategic storytelling and positioning skills, with the ability to shape industry conversations around emerging technologies. Are comfortable navigating ambiguity and making sound decisions in fast-moving, high-visibility environments. Can build deep partnerships across Research, Safety, Policy, Communications, Product, and Marketing to drive alignment on high-stakes launches. Demonstrate excellent judgment when communicating sensitive or nuanced topics, balancing transparency, technical accuracy, and responsible disclosure. Have experience working within a frontier AI research environment, with a deep understanding of topics such as evaluations, preparedness, RSI, reasoning models, and AI safety. Think beyond traditional product marketing and enjoy finding new ways to influence how key audiences understand and engage with frontier AI. 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 Forward Deployed Engineering (FDE) team turns research breakthroughs into production-grade systems. We embed deeply with customers to solve high-leverage problems and act as the delivery engine for our most complex large-scale engagements. We move quickly from prototype to production and surface reusable patterns that shape our platform. We operate at the intersection of deployment and development – working closely with OpenAI Research, Product and Partnerships. About the Role As a Technical Deployment Lead (TDL), you will define how OpenAI delivers complex systems to Semiconductor customers. You will own how solutions are scoped, built, shipped, and adopted across high-value engineering workflows such as RTL design, verification, and physical implementation. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. You will focus on the semiconductor vertical to deploy next-generation AI capabilities. You will own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities. Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures). This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace. 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 between 25-50% is required. In this role, you will: Own the technical delivery plan for multiple interdependent work streams, translating customer objectives into a roadmap with milestones, dependencies, and acceptance criteria. Run day-to-day engineering execution by tracking and driving delivery across OpenAI FDE and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path. Embed with Semiconductor customer teams to land production deployments and drive adoption. Map workflows, shape tools/integrations, and translate requirements into a delivery plan. Shape production deployments that integrate with customer infrastructure, data systems, and engineering toolchains, including export-controlled environments. Partner with Product and Research so platform components and research work streams land in time to support deployment goals. Codify solution patterns and evals. Extract reusable patterns and package field signals to improve product and models. Own value cases and ROI. Set impact hypotheses, baselines, and KPIs; run pre-/post-deployment measurement and report to exec sponsors. Help define how OpenAI engages Semiconductor customers. You might thrive in this role if you: Bring 7+ years of customer‑facing technical delivery leadership. Have deep expertise in Semiconductor workflows, including RTL design, verification, EDA tooling, and physical implementation. Track record of successfully leading large, complex, high-stakes customer engagements where customer outcomes depended on tight coordination and fast decision making, ideally involving AI. Excel in high ambiguity environments. Know how to simplify complex and dynamic work. Move fluidly between system level understanding and execution level detail; can dive into customer workflows/data, map constraints, sketch architectures and move ambiguous problems to shipped systems. Think strategically and pattern-match. Able to step back from execution detail, recognize broader trends across deployments, and connect customer needs to scalable, reusable solutions. Have strong technical fluency and sharp sequencing instincts. Confident discussing technical details, pressure-testing architectures, and making trade-offs. Have shipped AI/LLM systems. You understand solution patterns, integration basics, and production pitfalls. You’re a translator with executive presence. You make complex technical trade-offs legible to business leaders and convert strategy into day-to-day technical execution. Enjoy being onsite with customers to accelerate delivery (often 25-50%, sometimes higher). 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 Privacy Engineering Team at OpenAI is committed to integrating privacy as a foundational element in OpenAI's mission of advancing Artificial General Intelligence (AGI). Our focus is on all OpenAI products and systems handling user data, striving to uphold the highest standards of data privacy and security. We build essential production services, develop novel privacy-preserving techniques, and equip cross-functional engineering and research partners with the necessary tools to ensure responsible data use. Our approach to prioritizing responsible data use is integral to OpenAI's mission of safely introducing AGI that offers widespread benefits. About the Role As a part of the Privacy Engineering Team, you will work on the frontlines of safeguarding user data while ensuring the usability and efficiency of our AI systems. You will help us understand and implement the latest research in privacy-enhancing technologies such as differential privacy, federated learning, and data memorization. Moreover, you will focus on investigating the interaction between privacy and machine learning, developing innovative techniques to improve data anonymization, and preventing model inversion and membership inference attacks. This position is located in San Francisco. Relocation assistance is available. In this role, you will: Design and prototype privacy-preserving machine-learning algorithms (e.g., differential privacy, secure aggregation, federated learning) that can be deployed at OpenAI scale. Measure and strengthen model robustness against privacy attacks such as membership inference, model inversion, and data memorization leaks—balancing utility with provable guarantees. Develop internal libraries, evaluation suites, and documentation that make cutting-edge privacy techniques accessible to engineering and research teams. Lead deep-dive investigations into the privacy–performance trade-offs of large models, publishing insights that inform model-training and product-safety decisions. Define and codify privacy standards, threat models, and audit procedures that guide the entire ML lifecycle—from dataset curation to post-deployment monitoring. Collaborate across Security, Policy, Product, and Legal to translate evolving regulatory requirements into practical technical safeguards and tooling. You might thrive in this role if you: Have hands-on research or production experience with PETs. Are fluent in modern deep-learning stacks (PyTorch/JAX) and comfortable turning cutting-edge papers into reliable, well-tested code. Enjoy stress-testing models—probing them for private data leakage—and can explain complex attack vectors to non-experts with clarity. Have a track record of publishing (or implementing) novel privacy or security work and relish bridging the gap between academia and real-world systems. Thrive in fast-moving, cross-disciplinary environments where you alternate between open-ended research and shipping production features under tight deadlines. Communicate crisply, document rigorously, and care deeply about building AI systems that respect user privacy while pushing the frontiers of capability. 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 Intelligence and Investigations team seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe online ecosystem. We are dedicated to identifying emerging abuse trends, analyzing risks, and working with our internal and external partners to implement effective mitigation strategies to protect against misuse. Our efforts contribute to OpenAI's overarching goal of developing AI that benefits humanity. The Strategic Intelligence & Analysis (SIA) team provides safety intelligence for OpenAI’s products by monitoring, analyzing, and forecasting real-world abuse, geopolitical risks, and strategic threats. Our work informs safety mitigations, product decisions, and partnerships, ensuring OpenAI’s tools are deployed securely and responsibly across critical sectors. About the Role As a Quantitative Intelligence Analyst , you will focus on discovering novel and emerging risks in complex human–AI systems before they are well-defined, measurable, or widely understood. You will use deep subject matter expertise and quantitative tooling to surface weak, early, and unconventional risk signals. You will build analytic models that explain how harms could emerge and translate ambiguous patterns into structured, data-driven insight. Your work will help identify potential gaps in policy or coverage and operationalize previously unmeasured problems into signals that can support detection, mitigation, and planning downstream. You will develop analytical frameworks that map how new risks form, evolve, and propagate as products change, policies shift, and external events unfold. Your analyses will directly inform strategic risk prioritization and planning across the company, with regular visibility through strategic risk products. This role is based in office (hybrid, 3 days/week). Relocation support is available In this role, you will: Discover and define new quantitative risk signals where no established metrics exist, using subject matter expertise to surface early, weak, or unconventional indicators Translate complex trust and safety challenges into measurable signals that can be tracked and stress-tested over time Develop upstream early-warning and signal frameworks that inform downstream detection and mitigation efforts Analyze risk trends to assess the underlying drivers and causal factors behind those changes Conduct data mining and statistical modeling to understand how risks originate, evolve, and propagate across systems Design adversarial scenarios, and quantitative stress tests to assess exposure, coverage gaps, and vulnerabilities Produce clear data-driven briefs to support risk prioritization, contingency planning, and strategic risk products across teams You might thrive in this role if you: Have 3+ years of experience in quantitative intelligence analysis, trust & safety, security analysis, or risk-focused research Are comfortable working on complex trust and safety domains such as child safety, violent activities, self-harm, or similar high-stakes risk areas Familiarity with data mining, statistical modeling, and supervised learning methods Understand how to monitor signals or models for data drift, behavioral adaptation, or performance degradation over time, and can diagnose likely causes Experience in operationalizing adversarial or strategic risk behaviors, including through red-team exercises, agent-based modeling, or structured scenario analyses Comfortable working with Python and SQL Nice to have: Experience with quantitative stress testing or Monte Carlo simulations to assess uncertainty and tail risk 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.
Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the Role: Millions of people use Notion — and this number is increasing every day. That means millions of people trust us to deliver a fast, reliable, and secure experience, and we value this more than anything. We want to keep earning trust, while also continuing to amaze our users with the tools they can build in Notion. The AI Platform team is responsible for building the shared foundations that let Notion ship AI products quickly and operate them safely at scale. You’ll join a team of talented engineers focused on making speed and quality compatible: reliability and availability through provider changes, quality and correctness systems like evals and release gates, observability that makes failures explainable, and shared primitives for model integrations, context management, long-running actions, and cost/performance tradeoffs. Notion’s AI platform is vital to helping product teams move faster with production-grade guardrails as models, providers, and AI capabilities rapidly evolve. This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. What You'll Achieve: You'll own and play a pivotal role in the prototyping, development and scaling of systems and core AI platform primitives. You’ll partner closely with product teams to provide paved paths and production-ready guardrails that help new AI features ship faster with less duplicated work. You’ll work across infrastructure, shared libraries, APIs, and product integration points to make AI platform capabilities easy to adopt and high-leverage across Notion. You’ll operate critical AI systems in production, using observability and diagnostics to understand provider/model behavior, debug failures, improve latency and cost, and evolve systems with minimal user disruption. You’ll help Notion safely adopt new models, providers, and AI capabilities through versioning, controlled rollouts, compatibility layers, and clear quality/reliability gates. Skills You'll Need to Bring: Passion for AI systems at scale: You’ve worked on LLM, ML platform, data, or infrastructure teams that own critical shared systems. You understand the challenges of scaling reliability, latency, cost, and quality as usage and model complexity grow. You care deeply about building platforms that are dependable, efficient, and easy for other engineers to use. Adaptable and curious: You like going deep on how systems behave in practice, especially when models, providers, and product requirements are changing quickly. You’re eager to use AI tools to work smarter and are willing to move across backend, infrastructure, libraries, and product code when that’s what the problem requires. Extreme ownership: You’re comfortable working across ambiguous problem spaces, aligning stakeholders around a clear path forward, and driving execution with accountability. You take ownership of platform outcomes including reliability, quality, adoption, and operational follow-through beyond team boundaries. Thoughtful problem-solving: For you, problem-solving starts with a clear and accurate understanding of the context. You can decompose ambiguous system behavior, debug across layers, and work toward clean, pragmatic solutions by yourself or with teammates. You’re comfortable asking for help when you get stuck. Pragmatic and business-oriented: You understand that AI platform work is full of tradeoffs across quality, latency, cost, reliability, and speed of execution. You prioritize based on product and business impact, balancing craft with urgency and operational simplicity. Nice to Haves: 2-4 years of experience as a Software Engineer Experience with applied AI product development (prompting, evals, model integrations, or quality measurement). You've built out and scaled data processing pipelines at scale with Apache Spark or Ray. You’ve past experience working full-stack in Typscript and node.js ecosystem You have experience building MLOps and ML serving infrastructure. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $180,000 - $201,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy and NYLL 144 . #LI-Onsite A Note on AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. Equal Opportunity & Accommodations We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
About the Team OpenAI Finance ensures the organization is positioned for long-term success as we pursue our mission. The Order to Cash (OTC) team oversees the end-to-end flow of commercial transactions from order intake and provisioning through billing, collections, credit risk, accounts receivable operations, and cash application. The team focuses on accuracy, compliance, operational discipline, and a high-quality customer experience. About the Role We are hiring for the Senior Credit & Collections role to support OpenAI's global receivables operations, with a focus on white-glove support for premier and strategic accounts across the U.S. and key regional areas of AR work, including standard operating procedures, payment methods, customer portals, disputes, cash application handoffs, escalations, and emerging go-to-market channels. In this role, you will manage complex customer accounts, guide priority AR workstreams, support credit reviews, and partner cross-functionally with Sales, Customer Success, Billing Operations, Deal Desk, Legal, Accounting, Cash Application, Finance Systems, and external partners. You will help improve cash collections, reduce aging, support responsible credit decisions, and maintain a strong customer experience across sensitive, high-value, and operationally complex relationships. This role is based in San Francisco, CA. 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 Manage a portfolio of premier, strategic, and high-touch customer accounts across the U.S. and key regional AR work areas, ensuring timely collections, clear communication, and a white-glove customer experience. Support collections coverage across key regional areas of AR work, including payment follow-up, documentation requirements, portal submission workflows, tax or invoicing considerations, dispute coordination, and escalation management. Support new channel success, including marketplace, partner, reseller, agency, ads, and other non-standard billing or collections motions across priority customer segments. Perform credit reviews and customer risk assessments within established frameworks, including payment history, exposure, credit limits, terms, and escalation recommendations. Drive resolution of complex AR and customer finance issues by coordinating the right owners, clarifying blockers, aligning on next steps, and escalating risks that affect collections outcomes or customer experience. Help run disciplined AR operating cadences across assigned portfolios and queues, including prioritization, ownership, escalation routing, and follow-through to resolution. Monitor portfolio health and collections performance through AR aging, DSO impact, dispute trends, queue performance, and follow-up effectiveness, turning trends into clear actions. Improve collections coverage and predictability by surfacing stalled accounts, recurring blockers, AR process gaps, and handoff issues that impact cash collection or customer experience. Partner with internal teams and external partners to scale consistent collections coverage, improve collections productivity, and drive measurable cash outcomes across assigned portfolios. Partner with Sales, Customer Success, Deal Desk, Billing Operations, Legal, Accounting, Cash Application, and Finance Systems to unblock customer payment issues and align account strategy. Track and communicate account status, risk items, next steps, and ownership clearly across internal teams. Support month-end close, audit requests, reserve inputs, write-off recommendations, and control documentation as needed. Use data, systems, and AI-enabled workflows to improve account prioritization, follow-up quality, reporting, and operational efficiency. You Might Thrive In This Role If You Have 6+ years of experience in credit, collections, accounts receivable, customer finance, or broader Order to Cash operations. Experience managing complex enterprise, strategic, or high-touch customer collections across U.S. and priority AR portfolios in a high-growth or global environment. Strong understanding of AR aging, DSO, credit risk, portfolio prioritization, collections strategy, payment terms, disputes, cash application, customer account reconciliation, and queue-based operations. Experience supporting customers across key regional areas of AR work, including payment practices, documentation norms, tax or invoicing complexity, portal workflows, dispute resolution, and customer communication expectations. Additional business language proficiency is a plus. Strong judgment in balancing collections urgency, customer experience, financial risk, and commercial priorities. Experience working with Sales, Customer Success, Legal, Billing, Accounting, Cash Application, Finance Systems, and external collection or BPO partners. Ability to independently manage defined-scope projects, anticipate blockers, communicate risks, and drive predictable outcomes. Comfort working with data, dashboards, Salesforce, ERP or billing systems, customer portals, and collection workflow tools. Interest in using automation and AI tools to improve collections coverage, AR prioritization, customer outreach quality, and reporting. Clear written and verbal communication skills, especially for executive-sensitive or customer-facing escalations. 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 With Codex we’re building an AI software engineer. One that you can pair with, delegate to, or even ask to take on future tasks proactively. Our team is a fast-moving group within OpenAI, bringing together research, engineering, design, and product. We iteratively build the Codex agent harness and product to get the most out of the model, and we iteratively train the model to be great at complex software engineering tasks. The Codex team is responsible for building state-of-the-art AI systems that can write code, reason about software, and act as intelligent agents for developers and non-developers alike. We operate across research, engineering, product, and infrastructure; owning the full lifecycle of experimentation, deployment, and iteration on novel coding capabilities. Codex Enterprise builds the ecosystem, governance, and enterprise capabilities that help Codex spread across developers, teams, and organizations worldwide. The User Activation team owns the product experiences that help developers discover Codex, understand its capabilities, connect it to their workflows, and turn initial usage into sustained adoption across teams. About the Role As Codex adoption grows, our challenge is no longer just building powerful AI capabilities. It is helping developers and teams quickly understand how Codex fits into their work, connect it to the tools and codebases they already use, and unlock workflows that make Codex feel like a true teammate. This role will help build the full-stack product surfaces that drive activation and adoption across Codex Enterprise. You will work across onboarding, workspace setup, integrations, discovery, collaboration, usage insights, and ecosystem capabilities that help Codex spread naturally through organizations. You will partner closely with product, design, research, infrastructure, GTM, and customers to identify where users get stuck, where teams fail to adopt Codex, and what product experiences can turn curiosity into repeatable value. This role owns systems end-to-end: from polished frontend experiences to backend services, experimentation, analytics, and production operations. In this role, you will: Build onboarding, setup, and discovery experiences that help developers quickly connect Codex to their repositories, tools, environments, and existing workflows. Create product surfaces that help users discover Codex capabilities, including plugins, skills, integrations, templates, recommendations, and workflow entry points. Build collaborative team experiences that make Codex easier to adopt across organizations, including workspace setup, invitations, sharing, team-level configuration, and usage visibility. Develop full-stack systems across web, IDEs, CLI, and integrations, balancing polished user experience with reliable backend architecture. Partner with product and design to run experiments, understand activation funnels, identify adoption blockers, and iterate quickly based on real user behavior. Work directly with customers, GTM, and Forward Deployed teams to translate real-world adoption challenges into scalable product capabilities. Help define what great onboarding, discovery, and activation look like for an AI software engineering teammate. You might thrive in this role if you: Have strong full-stack software engineering fundamentals and experience building polished, production-grade user experiences. Are comfortable working across frontend and backend systems, ideally with technologies such as React, TypeScript, Python, Go, or similar tools. Have experience building onboarding, activation, growth, collaboration, discovery, or developer-product experiences. Care deeply about user experience and can turn ambiguous customer problems into simple, intuitive product flows. Enjoy working across product, design, engineering, analytics, and customer-facing teams. Are comfortable using data, experimentation, and user feedback to guide product decisions. Enjoy 0 → 1 environments, move quickly through ambiguity, and bring strong product judgment to technical trade-offs. 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 With Codex we’re building an AI software engineer. One that you can pair with, delegate to, or even ask to take on future tasks proactively. Our team is a fast-moving group within OpenAI, bringing together research, engineering, design, and product. We iteratively build the Codex agent harness and product to get the most out of the model, and we iteratively train the model to be great at complex software engineering tasks. The Codex team is responsible for building state-of-the-art AI systems that can write code, reason about software, and act as intelligent agents for developers and non-developers alike. We operate across research, engineering, product, and infrastructure; owning the full lifecycle of experimentation, deployment, and iteration on novel coding capabilities. Codex Enterprise builds the ecosystem, governance, and enterprise capabilities that help Codex spread across developers, teams, and organizations worldwide. The Enterprise Controls team owns the systems that allow companies to safely deploy Codex across their organization while protecting their most sensitive code, data, and internal knowledge. About the Role As Codex adoption grows inside large organizations, customers are increasingly trusting Codex with their most valuable assets: proprietary codebases, internal documentation, customer data, and sensitive workflows. This role will help build the enterprise control plane that makes Codex secure, governable, and trustworthy at scale. You will design and operate backend systems that give enterprise administrators visibility and control over how Codex is used across their organization. You will work across identity, access, encryption, policy enforcement, auditability, and admin controls. This may include systems that let customers manage encryption keys, control which Codex capabilities are enabled, enforce organizational policies, and understand how data flows through Codex. This role owns systems end-to-end: from architecture and implementation to production operations, with a strong bias for security, reliability, quality, and velocity. In this role, you will: Build backend systems that protect enterprise customer data, including encryption, key management, access controls, data isolation, retention controls, and secure data handling patterns. Design and operate the Codex enterprise control plane, enabling administrators to configure, enforce, and audit how Codex is used across users, teams, projects, and environments. Build policy and governance systems that allow enterprises to enable or disable specific Codex capabilities, define organizational constraints, and safely roll out new AI-powered workflows. Develop reliable, observable, and scalable services across identity, authorization, configuration, audit logging, compliance, and enterprise administration. Partner closely with product, security, infrastructure, GTM, and customer-facing teams to translate complex enterprise requirements into simple, durable product and platform capabilities. Help define what “enterprise-grade” means for AI software engineering systems as Codex becomes a trusted teammate inside the world’s largest organizations. You might thrive in this role if you: Have strong backend software engineering fundamentals and experience building production-grade distributed systems. Are proficient in one or more backend languages such as Python, Go, Rust, Java, or C++. Have experience with security, identity, authorization, encryption, key management, policy systems, or enterprise governance. Understand enterprise foundations such as SSO/SAML/OIDC, SCIM, RBAC, audit logging, compliance controls, and data governance. Enjoy building foundational platform capabilities that unlock many product surfaces and customer workflows. Are comfortable working across ambiguous technical and product requirements, especially in fast-moving 0 → 1 environments. Care deeply about reliability, security, observability, and customer trust. 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 Support team is central to ensuring that our customers' experience with our products is nothing short of exceptional. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from individual customers to early-stage startups and established global enterprises. Given OpenAI’s breakneck shipping cadence and growth – and the expectation that it will only accelerate – our ability to architect automation systems and agentic workflows for scale is central to our ability to maintain exceptional support quality in the face of AGI. About the Role We are seeking a Support Operations Lead who combines operational leadership, systems thinking, vendor management, and hands-on execution. You’ll own service health, automation programs, partner and vendor management. In addition to delivering high-quality service, you’ll identify opportunities to reduce manual work, experiment with tools and help operationalize AI across support at scale. This is not a traditional support operations lead role. We’re looking for someone to help us define the future of support, who thrive at the intersection of team/project management, systems building, data science/engineering, and with deep craft experience in the support operations space. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. 1-2 weeks of travel per quarter may be required. In this role, you will: Lead and evolve organizational design for our frontline operations across partner and vendor management, coaching teams to expand automation and deliver measurable capacity gains. Lead multi-site partner management, including commercial ownership, capacity planning and workforce management, QBRs, and performance recovery. Own end-to-end service governance for partner and vendor teams, including automation rate, cost to serve, first-response time, productivity, and quality. Set standards for how work gets done at scale, replacing one-off fixes with reusable systems. Upskill teams and partner with Automation Engineering, Support Engineering, and Fraud & Risk to embed LLM-powered tools into frontline workflows. You might thrive in this role if you: Have 8+ years of experience leading support operations teams and a strong track record of coaching, driving accountability, and improving performance and automation adoption at scale Are comfortable managing a team while staying hands-on in solving ambiguous operational problems. Are fluent in operational data and technical collaboration, able to define metrics, interpret dashboards, design experiments, and partner with engineering and data teams to turn ambiguous support problems into scalable systems. Think in systems, using process design, data, tooling, and automation to reduce manual work and create durable capacity. Can partner credibly with technical teams and translate support needs into clear requirements, owning problem definition, adoption, change management, and operational outcomes Are energized by building structure in a high-growth environment where the support model, tooling, and partner strategy are still evolving. Have scaled support operations through organizational design and tooling in a high-growth technology company without compromising quality. 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 Support team is central to ensuring that our customers' experience with our products is nothing short of exceptional. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role As a Product Engagement Manager on the User Operations team, you will lead a team of Product Engagement Specialists responsible for ensuring smooth, successful product launches across internal and external teams. You’ll be the glue connecting product teams and support operations, equipping teams with the tools and knowledge needed to support new product rollouts. You’ll build scalable feedback loops that capture the voice of the user and translate insights into actionable product improvements, and ensure that frontline teams have the knowledge and skills to deliver accurate, delightful customer interactions at scale. We’re looking for someone who thrives at the intersection of product management, team enablement, and customer advocacy, and who enjoys working cross-functionally in a fast-paced, evolving environment. This person will manage the day-to-day work while also helping architect the systems needed to scale it. The successful candidate will be a leader-coach who can lead a small team while continuing to perform individual contributor work. This role is based in San Francisco, CA. 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: Lead a team coordinating product launches across internal and external teams, ensuring seamless execution and support readiness. Set the team’s strategy and priorities, translate them into clear goals and quality standards, and allocate capacity to deliver against them. Build a high-performing team through ongoing coaching, feedback, development, and performance management. Build out a Voice of the User program with scalable feedback loops between support, Product, and Engineering pre and post launch, so customer insights inform product development and strategy. Advocate for users by representing their needs and pain points in product and engineering discussions. Partner with Product, Engineering, Marketing, and Operations to align on launch goals and timelines. Monitor post-launch performance and gather support data to assess product impact and inform improvements. Document and standardize launch procedures to make them repeatable and scalable. Identify launch risks and propose solutions that minimize disruption to customers. Report on feedback-loop performance, including key insights, trends, and recommendations for the product roadmap. You might thrive in this role if you: Have experience leading product enablement or launch-readiness functions at scale, particularly in a customer support environment. Have shipped tooling or automations that reduced manual work and scaled beyond a single team (workflows, dashboards, scripted automation, lightweight pipelines)." Have experience in product management with automation and tool development, using metrics and feedback to improve decisions and processes. Build strong cross-functional relationships with Product, Engineering, and Operations teams. Are passionate about customer advocacy and can translate customer feedback into strategic product insights. Are highly organized and able to manage multiple projects with competing deadlines. Communicate technical concepts and customer pain points clearly to diverse audiences. Take ownership of initiatives from ideation through implementation and post-launch analysis. Thrive in a fast-paced environment with shifting priorities. 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.