Explore active software engineering, data, AI, product, and design roles directly from verified employers—and make sure your resume is ready before applying.
Get an instant ATS score, missing keyword alert, and bullet rewrites tailored to your target job before submitting your application.
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: Notion is building the collaborative AI workspace teams use to think, plan, and execute. Our partner ecosystem is a key multiplier for our global revenue engine. As our founding Partner Marketing Manager, you’ll build the co-marketing motion with our partners—designing campaigns that show the combined value of Notion + our ecosystem and turning partner enablement into measurable, partner-driven pipeline. You’ll work in lockstep with Partnerships, Product Marketing, and regional sales leaders to ensure partners can tell the Notion story consistently across channels. 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: Set and run Notion’s partner co-marketing strategy across resellers, services partners, and strategic technology/AI partners. Launch end-to-end joint campaigns (e.g., webinars, whitepapers, case studies, digital events) that drive partner-sourced and partner-influenced pipeline. Build partner enablement that travels (pitch decks, one-pagers, positioning/competitive guides) so external teams can sell Notion with confidence. Own a clear MDF operating model (intake, prioritization, budget allocation, approvals) and invest in the activations that produce the highest ROI. Track performance and report results using CRM + marketing analytics, tying programs to pipeline and revenue. Skills You'll Need to Bring: Track record building partner/channel marketing programs from zero to repeatable motion, with clear examples and measurable outcomes. Strong campaign and content craft: ability to translate product value into crisp partner value propositions that work across channels. Analytical operating discipline: comfort with pipeline attribution, CRM workflows, and reporting that stands up to revenue scrutiny. Cross-functional leadership and influence across Partnerships, Product Marketing, and Sales; strong judgment in prioritization and trade-offs. AI-fluent working style: uses AI tools to plan, draft, analyze, QA, and scale throughput—while maintaining high standards of craft. 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 $235,000-$260,000 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 Special Situations at OpenAI is the company’s commercial engine for its most complex and consequential opportunities. The team operates where new verticals, partnership models, and customer motions must be invented, before a repeatable GTM or delivery playbook exists, by bringing together product, research, engineering, and GTM leaders around a single outcome. Many of these efforts begin as “new bets” (new verticals, new customer motions, new partnership models) and mature into repeatable ways of working that shape how OpenAI operates at scale. The team acts as a force-multiplier for the company by accelerating decision-making, aligning stakeholders, and converting complex opportunities into durable results. About the role We’re hiring a Deal Lead, Special Situations to help stand up new vertical bets, with a particular focus on partnership development in the semiconductor industry. You will identify where AI can create step-change value for semiconductor companies and ecosystem partners, originate and shape multi-project programs with FDEs and applied researchers, package them into compelling commercial proposals, and execute creative, complex partnerships while keeping executives and cross-functional teams tightly aligned. This role is especially focused on building strategic partnerships in semiconductors. You do not need to be a technical engineer, but you do need to be able to speak the language of the semiconductor industry, build credibility quickly with technical and business stakeholders, and come up the learning curve fast on industry dynamics, workflows, and constraints. A key part of the role is crafting deals with semiconductor companies that demonstrate our unique competitive advantages. To do this effectively, you will need to develop a strong point of view on the market, understand the competitive landscape, and clearly articulate OpenAI’s differentiated value and strategic advantage. Special Situations owns the overall success of each program, including commercial outcomes, while functional teams own execution decisions within their domains. You will engage executive sponsors when decisions have org- or company-level implications. You will set direction, build the coalition required to achieve it, structure the partnership, and improve decision quality and velocity. When the work can move without Special Situations, you’ll shift to the next highest-leverage opportunity. In this role, you will: Identify and size high-value partnership opportunities in the semiconductor industry, translating industry pain points into concrete AI-driven commercial theses Map the semiconductor partnership and competitive landscape, including internal AI teams and AI automation startups, and design differentiated partnership strategies that OpenAI can win and scale Learn the language, workflows, and commercial dynamics of the semiconductor ecosystem quickly enough to build trust with both technical and business leaders Work with FDEs and applied researchers to design multi-project programs that combine models, tooling, data, and services into outcomes partners will pay for Define use cases, scope, sequencing, and success metrics that turn ambiguous opportunities into executable programs Create the commercial and strategic narratives (decks, demos, proposals, and deal memos) that align partners, executives, and internal teams around a single plan Articulate why OpenAI is the right partner versus a build-it-internally approach or external AI automation vendors serving the semiconductor market Structure and negotiate non-standard partnerships, including revenue share, royalties, and bespoke commercial terms, through contract signature Drive executive-level alignment and decision-making on tradeoffs, resourcing, and risk You might thrive in this role if you: Have 10+ years in business development, partnerships, corporate development, private equity, or founding roles where you personally drove and closed complex, high-dollar deals from concept through delivery Have meaningful experience in semiconductors or closely adjacent industries, including an understanding of how large companies in the sector buy, partner, and deploy technology Do not need to be an engineer, but can speak credibly with technical teams and learn specialized industry language and concepts very quickly Can take a vague opportunity and turn it into a clear commercial thesis that customers, executives, and technical teams can buy into and commit budget against Can develop a sharp view of the competitive market and persuasively explain why OpenAI is better positioned than internal AI automation efforts or semiconductor-focused AI services startups Excel at building and closing non-standard deals that combine product, services, and long-term strategic value rather than off-the-shelf SKUs Know how to navigate large, sophisticated buyers, align multiple stakeholders, and keep deals moving when no one has full authority or clarity Strengthen decisions by framing commercial and technical tradeoffs early so partners and OpenAI leadership can commit with confidence Maintain momentum as scope, pricing, risk, and partnership structures evolve Create structure and accountability across cross-functional teams so that deals actually convert into delivered outcomes Deliver results without waiting for perfect information, adjusting the commercial and execution path as reality changes Represent OpenAI with credibility and executive presence in customer and partner settings, from first conversation through long-term partnership 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 Notion is building the connected workspace that teams everywhere use to think, plan, and ship — and our partner ecosystem is central to how we grow in the UK market. As Regional Partner Manager for UK, you'll own our partner relationships across the region, working closely with our London sales team to drive revenue through value-added resellers, hyperscaler ecosystems, and local services partners. This is a builder role for someone who thrives in a dynamic, high-growth environment. You'll be the architect of Notion's UK partner motion — standing up programs, forging relationships, and converting partner activity into measurable pipeline. You'll operate across multiple partner types simultaneously and serve as the connective tissue between our ecosystem and our sales team. The ideal candidate brings a hunter's instinct to partnerships: proactive, commercially sharp, and energised by the challenge of building something meaningful in a market with real momentum. You'll work cross-functionally with sales, marketing, and regional leadership — and you'll be a visible face of Notion in the UK partner community. What you’ll achieve Own and grow Notion's UK partner ecosystem across value-added resellers, cloud/hyperscaler partnerships, and local services partners Build and execute joint go-to-market programs with regional VARs and solutions partners Manage Notion's hyperscaler partnerships in the UK, overseeing cloud marketplace deal flow and co-sell motions Align partner activity directly to the UK sales team's pipeline — facilitating introductions, mapping accounts, and driving resell and co-sell opportunities to close Coordinate joint initiatives that bring together reseller partners and hyperscaler ecosystems for combined enterprise programs Develop and maintain strong executive relationships with partner leadership across the region, becoming a trusted extension of their go-to-market teams Track and report on partner-sourced and partner-influenced pipeline; present program performance to internal stakeholders and EMEA regional leadership Support services delivery by local partners on an ad-hoc basis, helping maintain quality and partner satisfaction Identify and qualify inbound partnership opportunities, and proactively surface new partner relationships that can expand Notion's reach in the UK Collaborate with Notion's global and EMEA partner teams to adapt programs to the local market and share learnings across regions Skills you’ll need to bring 10+ years of experience in partnerships, channel sales, or alliances in the enterprise SaaS or cloud software industry Demonstrated experience managing both VAR/reseller programs and at least one cloud or hyperscaler partnership — comfort across both partner types is essential A builder's track record: you've stood up partner programs and can point to outcomes you drove Strong demand generation orientation Commercially sharp with the ability to connect partner activity to revenue outcomes Highly collaborative and effective working alongside direct sales teams — you understand what reps need, and you make their lives easier Executive presence and strong relationship-building skills; you're as comfortable presenting to a partner CRO as you are coordinating logistics with a partner marketing manager Experience working in or alongside hyper-growth or startup environments — you're comfortable with ambiguity and moving fast without a complete playbook Based in London with existing knowledge of the UK technology market; willingness to travel across EMEA and occasionally across EMEA Strong organisational and operational discipline — you manage multiple active partner relationships without dropping balls, and you communicate proactively Nice to have Experience with cloud marketplace programs and hyperscaler co-sell motions Familiarity with product-led growth (PLG) or bottoms-up SaaS go-to-market models Existing relationships with UK-based VARs, systems integrators, or hyperscaler partner teams Cross-market EMEA experience — e.g. managing partnerships across EMEA regions simultaneously 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 . #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 The Privacy Engineering team builds the systems and technical foundations that govern how user data is understood, retained, accessed, and used across OpenAI. We partner with Product, Data, Infrastructure, Security, and Legal to translate policy and trust commitments into durable architecture and enforceable controls. Our work spans data inventory and mapping, classification and lineage, retention and deletion, access governance, purpose and usage controls, auditability, and lifecycle automation. We aim to make policy-aligned data handling the default while giving teams clear, reliable primitives for building and operating products at scale. About the Role We are looking for an experienced Software Engineer to drive the architecture and execution of user data governance across OpenAI. You will define technical direction, build shared platforms and controls, and lead cross-functional programs that make data flows discoverable, policies enforceable, and ownership explicit. This role is well suited to a senior engineer who can move between deep systems design and organization-wide influence, turn ambiguous requirements into pragmatic roadmaps, and operate high-trust systems end to end. This position is based in San Francisco. Relocation assistance is available. In this role, you will: Set the technical strategy and architecture for user data governance across data mapping, classification, lineage, retention, deletion, access, and permitted usage. Design and build shared services, APIs, metadata systems, and policy-enforcement mechanisms that make governance controls consistent, scalable, and auditable. Establish reliable inventories of user data, system ownership, data flows, and policy applicability across products, infrastructure, analytics, and research systems. Partner with Product, Data, Infrastructure, Security, and Legal leaders to define decision rights, translate requirements into controls, and drive adoption across teams. Own governance systems in production through measurable controls, observability, migrations, exception handling, incident response, and continuous improvement. You might thrive in this role if you: Have substantial experience designing and operating large-scale data platforms, privacy infrastructure, or governance systems in complex production environments. Have led architecture and multi-team execution for one or more data-governance domains, such as metadata and lineage, retention and deletion, access governance, or data-use controls. Can translate ambiguous policy, legal, security, and product requirements into clear system boundaries, technical standards, phased roadmaps, and measurable outcomes. Influence senior stakeholders and engineering teams without relying on formal authority, communicate tradeoffs clearly, and build durable cross-functional alignment. Take end-to-end ownership of high-trust systems, including correctness, scalability, auditability, operational resilience, and the developer and operator experience. 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.
Member of Technical Staff/ Partners 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 Technical Partner 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.