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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 reimagining how enterprise software is sold and the Solutions Consultant is the cornerstone of that model. As a SC, you’ll own the full customer journey: from first meeting through workflow design, commercial close, workflow implementation, expansion & renewal planning. You are the single owner of your accounts, accountable for ensuring what you sell actually gets realized. You’ll build live in front of customers, translate workflow designs into commercial outcomes, and be a trusted partner with genuine continuity across the entire relationship. If you’re a builder who loves to sell—and you want to work at the intersection of AI, productivity, and enterprise—this is the role. What You'll Achieve Own the full customer lifecycle—new logo, expansion, and renewal—as the single account owner for your book of business, with responsibility for ensuring credits sold translate into credits consumed Design and build workflow solutions live with customers: the discovery is the demo, not the slide deck—you’ll run discovery, design current-to-future-state workflow architecture, and co-build in Notion with the customer Partner with BDRs on target account planning and co-own the outbound motion for your book, running direct outreach to priority stakeholders alongside BDR-sourced pipeline Navigate commercial sizing, proposal construction, procurement, legal, and security review to close deals with the right scope, credits, and implementation path Guide customers through early implementation with a clear adoption plan and handoff to Outcomes Architects for ongoing multi-workflow expansion Partner with Outcomes Architects (OA) on onboarding, adoption plans, expansion strategies, and renewal execution—owning the commercial arc while OAs drive day-to-day workflow adoption Skills You'll Need to Bring 8–15+ years of full-cycle, quota-carrying experience selling enterprise software, with a proven record of closing large, complex deals. Technical fluency and genuine comfort building live in software—you can demo, co-design, and troubleshoot in front of a customer without a specialist in the room Strong discovery and qualification instincts, with the ability to map customer workflows and translate them into commercial outcomes and adoption plans Experience running complex, multi-stakeholder interactions including procurement, legal, and security review cycles You can own the room - you operate with agency and urgency to bring new ideas and workflows to our customers and present simple ways to solve complex problems You’re obsessed with AI, constantly building with the newest tools & learning new ways of working Nice to Haves Full-cycle B2B software sales experience or solutions engineering experience with a consistent track record of exceeding quota across new logo acquisition and expansion motions Familiarity with usage-based or consumption-based pricing models and the ability to structure credit-based commercial proposals Prior experience selling to mid-market and enterprise accounts in productivity, collaboration, or workflow software Experience in a shared account ownership model, partnering with a post-sale or CS team as part of an integrated customer motion 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 range for total on target earnings (including base salary and on target incentive pay) for this role is $306,000 - $390,000 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 . #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 Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role We're looking for a Release Engineer (SRE) to join our Release Engineering team (part of EngOps) — a production-operations expert who brings an SRE mindset to how Supabase ships and runs, making deploys safe, observable, and recoverable at scale. Release Engineering's scope has grown well beyond build-and-ship: we increasingly own the operational reliability of the systems that deploy and run Supabase. In this role you'll treat our deployment pipelines, pre-production signal, and the control plane itself as production systems — with SLOs, error budgets, and on-call ownership — and you'll be the person teams lean on when reliability is on the line. This is not a "gatekeeper" role. You'll make the reliable path the easy path: standardising how we deploy, instrumenting what we ship, and ensuring that when something breaks, we detect it quickly and recover quickly. What You'll Be Responsible For In this role, you'll: Own the reliability of Supabase's deployment and release systems, and the control plane they run on, against clear SLOs and error budgets Turn pre-production into a trustworthy signal — standardizing and instrumenting today's fragmented, ad-hoc deployment workflows Drive disaster-recovery readiness, including making environments reproducibly deployable from scratch (untangling undocumented secrets, unclear configuration ownership, and circular service dependencies) Build and operate health and SLO monitoring for critical user flows, using synthetic testing to catch regressions before customers do Reduce mean-time-to-detect and mean-time-to-recover for deploy-related incidents — which account for a large share of our incident load Participate in on-call, lead blameless postmortems, and turn findings into runbooks, alerting, and automation that remove toil Improve deployment observability and auditability — a clear record of what shipped where, when, and by whom Document operational procedures — break-glass paths, access models, and runbooks — so reliability knowledge isn't tribal Reliability & Operations Define and track SLAs, SLOs, error budgets, and DORA delivery metrics — with meaningful alerting over noise Ensure deployments fail fast and safely when health checks degrade Harden access and break-glass workflows (e.g. scoped self-service) so the right people can act in an incident without unsafe workarounds Partner with product engineering and platform teams to align release practices with reliability and availability targets You Might Be a Good Fit If You Have 5+ years in SRE, production operations, platform engineering, or release engineering Have operated production systems at scale and carried on-call for them Are fluent in SLAs, SLOs, error budgets, DORA metrics, and operational KPIs — and the observability tooling behind them (Prometheus, Grafana, Alertmanager, or similar) Have led incident response with tooling like incident.io (or PagerDuty / Opsgenie), run blameless postmortems, and driven down MTTD/MTTR Operate confidently on AWS (multiple accounts, IAM, VPC) in production Are comfortable with infrastructure-as-code (Pulumi, Terraform) and Kubernetes Script and automate to eliminate toil rather than absorb it Communicate clearly with both infrastructure specialists and product engineers Thrive in async, globally distributed teams Are comfortable navigating ambiguity and iterating toward better systems over time 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.
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We're building the next chapter of AI-native craft and creativity - where craft and technology meet. Our unified platform bridges the gap between AI capabilities and human creativity, and lets professional creatives and designers harness the power of the world’s leading AI models without losing precision, expression, or soul. Together, we’re building tools that help people move faster without sacrificing quality, precision, or craft — a platform where AI supports creativity instead of flattening it. Figma Weave is building the next chapter of AI-native craft and creativity. Our platform bridges AI capability and human creative judgment, giving professional creatives and enterprise teams the ability to build, direct, and scale creative workflows without losing precision or control. We're hiring an Events Manager to build Figma Weave's real-world presence — from major industry conferences to our own standalone events — and turn that presence into both brand awareness and enterprise pipeline. This is a strategic and hands-on role. You'll decide which events we show up at and why, own the content and brand experience at major conferences, run our own events end to end, and work closely with sales and with Figma's broader marketing organization to make sure every event earns its place on the calendar. This is a full time role based out of our New York hub. What you’ll do at Figma Weave: Own event strategy: which events we show up at, why, and how each ties back to either brand awareness or enterprise pipeline At major industry conferences, own content, branding, speaking sessions, and awareness goals, partnering with Figma's central demand-gen team on lead gen, sales enablement, and booth execution Own Weave's standalone events end to end — third-party conference presence built specifically for Weave, and executive programs — coordinating with Figma's broader field marketing and regional teams Build and manage the events budget, accountable for both awareness and pipeline outcomes Work directly with sales to tie event activity to lead generation and pipeline goals Manage agencies and vendors — you own the brief and the outcome, not the physical build Represent Weave in front of VP+ stakeholders at events and executive programs Track and report on event performance, from reach and awareness to pipeline contribution We'd love to hear from you if you have: Experience running enterprise or industry events, from strategy through execution Comfort working alongside sales on a pipeline-driven motion — you speak the language sales and sales enablement use Experience managing agencies and service providers to deliver on a brief, without doing the physical production yourself Confidence engaging directly with senior (VP+) stakeholders, internally and externally The ability to work inside a larger partner ecosystem — coordinating with internal teams and external vendors rather than building everything independently While it’s not required, it’s an added plus if you also have: Experience in creative tech, design platforms, or AI tools Experience building brand awareness campaigns alongside a pipeline-focused events motion At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $115,000 — $269,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice .
About the Team GTM Growth Engineering builds AI-native products and systems that help OpenAI's go-to-market and B2B marketing organizations operate with greater speed, focus, and leverage. Our mandate is revenue leverage: products tied directly to pipeline quality, customer engagement, seller and marketer productivity, and the speed at which OpenAI can bring its technology to customers. We build the infrastructure and user experiences behind high-impact GTM workflows, including customer context, prioritization, routing, campaign execution, review surfaces, feedback loops, and measurement. Our work combines product craft, applied AI, reliable systems, and thoughtful operational design. About the Role We’re looking for a product-minded Software Engineer to build AI-powered products and full-stack experiences for GTM Growth Engineering. You will own meaningful product slices end to end, from user experience and frontend implementation to backend APIs, integrations, data models, instrumentation, and launch readiness. This is a role for engineers who want to build products that do real work in production. You will partner with Product, Design, Data Science, Sales, B2B Marketing, and operations teams to understand high-value workflows and ship systems that improve customer engagement, pipeline, conversion, and team productivity. The role is ideal for a strong product engineer who can move between product craft, systems engineering, applied AI, and measurable business outcomes. You should be excited to build from ambiguous problem statements, ship quickly, and improve products based on real user feedback. What You'll Do Build AI-powered products and workflows that help sales and B2B marketing teams identify opportunities, coordinate work, and engage customers more effectively. Own full-stack product experiences from prototype through launch, instrumentation, iteration, and production hardening. Design intuitive user journeys that combine polished interfaces, reliable services, structured data, and practical AI capabilities. Create product surfaces that help humans review, supervise, and improve automated or AI-assisted workflows. Build reliable frontend applications, backend services, APIs, and integrations with internal tools and business systems. Use telemetry, qualitative feedback, and product metrics to understand adoption, friction, quality, and business impact. Partner closely with Product, Design, Data Science, Sales, B2B Marketing, operations, and other GTM stakeholders. Translate ambiguous customer and operational problems into clear product requirements, pragmatic technical decisions, and working software. Make thoughtful tradeoffs across speed, product quality, accessibility, reliability, privacy, safety, and operational simplicity. What We're Looking For 4+ years of experience as a software, product, or full-stack engineer building high-quality, user-facing products. Strong frontend or full-stack engineering skills, with comfort across modern web applications, APIs, data models, and stateful user experiences. Strong product judgment and a track record of turning ambiguous ideas into shipped, useful products. Experience building in 0-to-1 or fast-moving environments where user needs, product shape, and success metrics are still evolving. Excitement about applying AI thoughtfully to real workflows and building products that help people do better work. A high bar for UX quality, interaction details, accessibility, reliability, and user empathy. The ability to use product data, qualitative feedback, and experimentation to identify friction and improve outcomes. Clear written and verbal communication, especially when explaining technical tradeoffs to cross-functional partners. Sound judgment when building products that touch customer data, business processes, and important operational decisions. You Might Thrive If You want to build products that have a visible impact on revenue, customer engagement, and how GTM teams operate. You are excited by products where people, data, and AI work together in real operational workflows. You like discovering the right product direction through shipping, measurement, and iteration. You can move between prototype speed and production-quality engineering without losing sight of the user. You enjoy working closely with non-engineering partners and turning domain expertise into clear product experiences. You are energized by applied AI, growth systems, B2B marketing, sales workflows, and products that help teams operate more effectively. You have strong opinions about product craft but adapt quickly as evidence and user feedback come in. Nice to Have Experience building GTM, sales, B2B marketing, growth, revenue, customer-support, or internal-product systems. Experience building AI-powered applications, agent-assisted workflows, or products that integrate language models. Experience with product analytics, experimentation, telemetry, feedback loops, or lightweight evaluation systems. Experience building products where reliability, privacy, safety, human oversight, and customer trust matter. Experience building product surfaces used by both individual contributors and organizations, including admin, reporting, or operational workflows. 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 GTM Growth Engineering builds AI-native products that help OpenAI's go-to-market and B2B marketing organizations scale with greater speed, intelligence, and operational effectiveness. We apply OpenAI models to real business workflows and build the systems that make those applications useful and dependable: customer context, agent behavior, feedback, evaluation, experimentation, and appropriate human oversight. Our work brings together software engineering, applied AI, product, data, and GTM operations. We measure success through the quality of customer engagement, pipeline, conversion, and the effectiveness of our sales and marketing teams. About the Role We're looking for an Applied AI Engineer to build production systems that help AI-powered go-to-market workflows improve over time. You will connect agent behavior, customer and operator feedback, evaluation, experimentation, and business outcomes to make these systems more effective, reliable, and responsive to evolving customer needs. This is a deeply technical, cross-functional role with end-to-end ownership of the agent improvement loop: understand production behavior, identify failure modes, improve how the system decides or acts, and validate the resulting impact. You will partner with Engineering, Product, Data Science, Sales, and B2B Marketing to turn real-world signals into safer, more effective agent behavior and measurable improvements in customer engagement, conversion, qualified pipeline, and team productivity. In this role, you will: Own the production improvement loop across agent behavior, customer and operator feedback, evaluation, experimentation, and verified business outcomes. Instrument agent workflows so model interactions, tool use, decisions, failures, human edits, and downstream outcomes can be understood in context. Define meaningful quality standards, representative evaluation datasets, regression coverage, and production monitoring for real GTM workflows. Investigate why agents underperform across context, knowledge, instructions, tools, routing, guardrails, or workflow design. Design and ship targeted behavior improvements, including changes to prompting, context construction, decision logic, tool use, and human-review paths. Build backend services, APIs, data models, and feedback pipelines that make agent behavior observable, steerable, and reproducible. Run controlled experiments, production replays, or staged rollouts to measure whether changes improve quality and downstream business results. Partner with Product, Data Science, Sales, and B2B Marketing to prioritize high-value problems and define customer and business success. Ship with appropriate safeguards for privacy, security, reliability, human oversight, and safe operational rollout. You might be a great fit if you have: 4+ years of software, backend, applied AI, or product-engineering experience building reliable production systems. Experience building AI agents, LLM-powered applications, or other model-driven workflows that operated on real production traffic. Experience diagnosing and improving agent behavior using production traces, user feedback, evaluation, experimentation, or careful systems design. Practical experience with evaluation design, regression testing, human or model grading, online quality signals, or controlled experiments. Strong backend engineering skills across Python, APIs, data pipelines, stateful workflows, and production services. Strong product judgment and the ability to connect technical changes to customer experience, conversion, qualified pipeline, or operational efficiency. Comfort working across model behavior, context, knowledge, tools, workflow state, and human-in-the-loop decisions. The ability to work closely with technical and non-technical partners across Engineering, Product, Data Science, Sales, and B2B Marketing. A pragmatic mindset: you can scope ambiguous problems, ship useful improvements, and build toward a durable system. You Might Thrive If You want to build AI systems that improve from real usage instead of stopping at a successful prototype. You enjoy tracing messy production failures back to the decision, context, tool interaction, or workflow issue that caused them. You think evaluation is valuable when it helps teams make better product decisions and improve real outcomes. You are comfortable moving between applied AI, backend engineering, experimentation, and product judgment. You like partnering with operators, sales teams, and marketers to understand the work your systems need to improve. You can move from an ambiguous problem to a focused experiment, measured result, and durable implementation. You care about trustworthy deployment, clear human-review paths, and reliable production systems. Nice to Have Experience building agent evaluation, observability, experimentation, or AI infrastructure products. Experience with production replay, LLM grading, human-labeled datasets, shadow evaluation, or staged rollout. Experience improving model or agent behavior through context design, prompting, tools, decision logic, or feedback loops. Experience with sales, B2B marketing, revenue, CRM, campaign, or other GTM-facing systems. Experience measuring customer engagement, qualified pipeline, conversion, or operational efficiency. 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 Early Access Program (EAP) team leads high-impact alpha programs at the intersection of customers, Product, Research, Engineering, GTM, Security, Legal, and launch teams. We partner with customers to test emerging capabilities with real-world use cases, surface actionable insights, and support launch decisions. Our team is made up of builders who learn quickly, collaborate deeply, create clarity in ambiguity, communicate openly, and iterate constantly. About the Role We’re hiring an Early Access Deployment Engineer to lead technical engagements with customers who are leveraging our frontier capabilities to solve real-world use cases. You will work at the earliest—and often messiest—stage of development, when capabilities are still unclear, tooling and processes are evolving, and the path from promising technology to a valuable real-world application has yet to be defined. You will be a hands-on builder, problem solver, and technical partner to customers and our research/product team. You’ll push beyond initial assumptions, identify high-value use cases, prototype solutions, design useful evaluations, and troubleshoot what is and is not working. Managing multiple customer engagements at once, you will help customers navigate ambiguity and difficult technical decisions while translating their experience into clear, actionable feedback for Research and Product. You will also own the end-to-end execution of early access programs—from onboarding customers, supporting live experimentation, synthesizing findings, and informing launch decisions. You’ll collaborate deeply with Research, Product, Engineering, Applied Evals, GTM, Legal, Security, Marketing, and other launch partners to create clarity, manage risk, and keep programs moving through changing conditions. Success in this role means turning frontier capabilities into real-world customer value and high-quality research signals. You will develop reusable technical approaches from early deployments, improve how OpenAI learns from customers, and provide strong PoV, based on customer feedback, on what should be built, refined, or scaled. This role is based in San Francisco. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role, you will: Engage deeply with strategic customers during the earliest alpha stages to understand their goals, workflows, technical constraints, and highest-value opportunities. Translate emerging and ambiguous model capabilities into scoped use cases, working prototypes, and clear success criteria. Prototype rapidly with customers, Product, and Research through experiment-driven iteration. Design and support evaluations that reveal model behavior, solution quality, workflow impact, and failure modes. Evaluate and troubleshoot based feedback across product, model behavior to determine patterns and gaps Own early access program execution end to end, from customer onboarding and live experimentation through synthesis and launch decisions. Align Research, Product, Engineering, GTM, Legal, Security, Marketing, and launch teams by communicating risks, tradeoffs, and recommendations clearly. Codify architectures, evaluation methods, technical patterns, and program learnings into reusable playbooks that improve future deployments. You might thrive in this role if you: Have 4+ years of software engineering or equivalent technical experience, including meaningful customer-facing delivery and ownership of production systems. Have a track record of rapidly turning ambiguous ideas into working prototypes and carrying the strongest approaches through to reliable solutions. Can demonstrate examples of systems thinking. Be proficient in Python and/or JavaScript or TypeScript, comfortable across modern front-end and back-end development, and familiar with cloud deployment. Bring practical AI and LLM depth, including experience reasoning about model behavior, designing evaluations, and building production-oriented AI applications. Exercise strong product and customer judgment by identifying the highest-value problem, scoping the right experiment, separating signal from noise, and balancing speed with technical integrity. Own problems end to end, learn unfamiliar technical or domain concepts quickly, and impose useful structure without waiting for perfect information. Manage several high-stakes technical engagements at once while anticipating blockers, adapting plans, and maintaining momentum across customers and internal teams. Communicate complex ideas with clarity and empathy, challenge assumptions constructively, and build trust with technical and non-technical stakeholders. 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 legal industry team works with law firms, in-house legal departments, legal technology companies, and other members of the legal ecosystem to understand how AI can support serious professional work. The team collaborates across Product, Research, Engineering, Design, Go-to-Market, Partnerships, Safety, Security, and Legal. We believe the strongest progress in legal will be built with the ecosystem. Our goal is to help customers and partners use OpenAI's capabilities in ways that are useful, trustworthy, and complementary to the products, expertise, and relationships that already serve the field. About the Role As a Product Manager you will help lead OpenAI's work with the legal industry. This is a high-ownership, hands-on role for someone who can turn incomplete information into clear priorities and shipped work. We’re looking for people who will spend time with customers and partners, work closely with researchers, engineers, designers, and operators, and keep complex work moving across teams. You will have meaningful ownership, but your success will depend as much on collaboration, follow-through, and judgment as on strategy. Success will depend on detailed, behind-the-scenes work in a fast-moving environment that can sometimes be chaotic. The right person will work very hard, get their hands dirty, and stay calm when the path is unclear. The work is also important and substantive: you will help shape how powerful technology is used in a consequential profession. 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: Turn customer, partner, market, and model evidence into a clear product strategy and roadmap for OpenAI’s work with the legal industry—including what to build, what not to build, and where ecosystem partners should lead. Define requirements and take products from early concept through real-world use and iteration. Lead execution across Research, Engineering, Design, Safety, Security, FDE, Go-to-Market, and Partnerships—resolving ambiguity, surfacing tradeoffs, inspecting outputs, and closing the detailed loops required to ship trustworthy products. You might thrive in this role if you: Have personally built and shipped zero-to-one enterprise, developer, or AI products, and stay close to users, product behavior, and the unglamorous details that determine whether something actually works. Combine strong product judgment with technical curiosity: you can reason from model and evaluation evidence, distinguish model, data, workflow, trust, and delivery problems, and change direction when the facts change. Earn credibility with demanding practitioners and partners, collaborate with low ego across teams you do not manage, and bring clarity, pace, and calm to complex, fast-moving work. Legal or regulated-industry experience is helpful, but a J.D. is not required. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
About the Team The Corporate Security team supports the safety, security, and resilience of OpenAI employees globally. The Travel Security function helps employees travel safely and confidently while enabling business activity in a complex and fast-changing operating environment. About the Role As Travel Security Manager, APAC, you will own the regional delivery and continued development of OpenAI's travel security program across Asia-Pacific. You will support the full travel risk management lifecycle, from pre-travel assessment and preparation through active-trip monitoring, incident response, traveler accountability, and post-incident learning. Reporting to the Global Travel Security Manager, you will be the regional lead for travel security matters across APAC. You will work closely with Corporate Security, Protective Intelligence, Finance, People, Legal, Immigration, Global Mobility, Communications, Information Security, and external providers. This is a hands-on role for a seasoned travel security professional. You will independently manage complex cases, advise leaders on risk-based travel decisions, support travelers during incidents and crises, and build scalable regional processes. Broad APAC experience is important, and deeper operating experience in East Asia is particularly valuable. Travel across APAC and occasionally to other regions is expected to comprise approximately 25% of the role. In this role, you will: Own day-to-day travel security operations across APAC, including high-risk travel reviews, traveler briefings, monitoring, escalation, incident response, and traveler accountability. Produce clear, intelligence-led risk assessments, advisories, decision briefs, and practical mitigation options for employees and senior stakeholders. Work with intelligence analysts and external providers to monitor geopolitical, security, health, environmental, and transport risks and turn changing information into timely operational decisions. Lead the travel security response to medical emergencies, security incidents, natural disasters, civil unrest, airspace or transport disruption, and other events affecting travelers. Maintain regional procedures, playbooks, decision triggers, communications, training, exercises, and after-action reviews. Support company events, strategic meetings, executive travel, and other business activity requiring coordinated travel security planning. Manage travel risk, medical and security assistance, intelligence, secure transport, and other specialist providers, including service quality, escalation paths, and performance reviews. Use travel management, traveler tracking, mass communication, intelligence, and case-management tools effectively, with close attention to booking-data quality, privacy, access, and operational resilience. Partner with travelers and business teams to deliver proportionate security measures that are clear, practical, and sensitive to the traveler experience. Use metrics, operational reviews, automation, and carefully governed AI tools to improve service quality, consistency, speed, and scale. You might thrive in this role if you have: 8+ years of directly relevant experience in corporate travel security or travel risk management, including recent ownership of a regional or global program. This role requires depth in travel security experience. Demonstrated end-to-end ownership of travel security operations, including risk assessment, pre-travel preparation, high-risk travel, active-trip monitoring, traveler tracking, emergency assistance, incident response, and crisis support. Substantial operating experience across multiple APAC subregions and the judgment to adapt global standards to different legal, cultural, infrastructure, and risk environments. Proven experience leading significant traveler incidents and supporting complex, fast-moving crises involving incomplete information and multiple stakeholders. Strong analytical skills and experience translating intelligence into clear recommendations, decision points, traveler communications, and operational actions. Hands-on experience with travel management data, traveler tracking or mass communication platforms, medical and security assistance services, intelligence tools, and related workflows. Experience managing external providers and working effectively across global, cross-functional, and geographically distributed teams. Excellent written and spoken English, with the ability to brief senior leaders and communicate calmly and clearly with travelers under pressure. Sound judgment, discretion, and the ability to operate independently while knowing when and how to escalate. Nice to have: Deeper operating experience in East Asia, or professional capability in an additional APAC language. Experience applying ISO 31030 or a comparable travel risk management framework. Practical experience using data, workflow automation, or AI-assisted tools to improve travel security operations, with appropriate validation and human oversight. Workplace & Location This role is based in Singapore. Regional and international travel is required and is expected to comprise approximately 25% of the role. 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 Finance ensures the organization is positioned for long-term success as we pursue our mission. The Revenue team plays a critical role in enabling OpenAI to scale commercial offerings by overseeing billing operations, deal desk, revenue systems, revenue accounting, and controllership. We work cross-functionally with Product, Engineering, Go-To-Market, Tax, Legal, and Technical Accounting to support new monetization strategies, improve operational efficiency, and maintain financial integrity as the business grows. About the Role This senior leader will own key elements of Ads revenue accounting from technical assessment through operational execution. The role will guide accounting for products, pricing, contracts, incentives, credits, refunds, makegoods, international expansion, and new go-to-market motions. It will establish governance and translate approved accounting positions into launch, billing, data, close, reconciliation, and control requirements. Success requires deep technical revenue expertise, strong business partnership, and the ability to build durable 0-to-1 processes in a fast-changing environment. Advertising is a critical and growing monetization vector for OpenAI, and this role will help shape the financial foundations that enable Ads to scale responsibly and transparently. 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 technical accounting assessments for Ads products and commercial arrangements, including performance obligations, variable consideration, allocation, principal-versus-agent, collectibility, contract modifications, refunds, incentives, credits, makegoods, and revenue presentation. Own and continuously evolve Ads revenue accounting policies and operating guidance as product behavior, pricing, contracting, incentive programs, and billing models change. Establish governance for new products and accounting decisions, including intake, decision rights, materiality and escalation thresholds, launch approvals, policy versioning, decision logs, and post-launch monitoring. Translate accounting conclusions into clear requirements for product design, contracting, billing, data, estimates, close, reconciliations, controls, and reporting. Own the operating cadence for incentive and makegood accounting, invoice readiness, accruals and reserves, settlements, reconciliations, GL tie-outs, flux analysis, reporting, and control evidence. Partner with Ads Product, Engineering, Data, Finance Engineering, Sales, Deal Desk, Legal, Tax, Billing, and Technical Accounting on launches, enterprise negotiations, and international expansion. Prepare concise technical memos and audit-ready support; align novel or material conclusions with Corporate Technical Accounting and external auditors. Use data, AI, and automation to improve research, monitoring, policy maintenance, issue tracking, documentation, and repeatable Finance workflows with appropriate review controls. You might thrive in this role if you have: 10+ years of progressive experience in revenue accounting, including direct ownership of complex ASC 606 judgments and operational execution. Demonstrated leadership to independently set direction, prioritize across competing risks, and influence senior cross-functional stakeholders. Experience with digital advertising, adtech, marketplaces, payments, usage-based services, or another high-volume transaction environment. Strong command of variable consideration, principal-versus-agent, contract modifications, incentives and credits, collectibility, estimates, and revenue presentation. Track record building 0-to-1 accounting processes, governance, close mechanisms, reconciliations, and controls that scale. Ability to turn technical conclusions into practical product, contract, billing, data, and operating requirements. Clear, concise written and executive communication, including audit-ready documentation and evidence-based recommendations. Preferred Qualifications: Experience supporting global launches, multiple currencies, international contracting entities, intercompany considerations, or localized billing models. Experience applying AI or automation within Finance while maintaining review, validation, and control standards. Experience partnering closely with Product, Engineering, Data, or Finance systems teams. Experience developing or leading high-performing accounting teams or distributed operating groups. Background in public-company controllership, technical accounting, audit, or similarly rigorous control environments. 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 B2B Marketing team is responsible for helping businesses understand, adopt, and get value from OpenAI’s products. B2B marketing is a major and growing priority for OpenAI as we scale our work with companies, developers, and institutions around the world. About the Role Within B2B Marketing, Demand Generation builds the integrated, full-funnel engine that connects audience insights, content, field and digital experiences, paid media, lifecycle, and sales follow-through to qualified pipeline. We partner closely with Sales, Partnerships, Product Marketing, Communications, Creative, Web, RevOps, Analytics, and regional teams to create a cohesive customer experience and scale what works. We’re looking for a Senior Webinar & Digital Events Strategist to redefine webinars and digital experiences as a high-quality demand channel. You’ll own audience strategy, portfolio design, programming principles, conversion paths, and performance recommendations while partnering closely with a Webinar Marketing Manager on production and delivery. This is a hands-on role for a strategic operator who can create compelling experiences and build the pre-event, live, and post-event systems required to turn engagement into qualified demand. In this role, you will: Owning the webinar and digital events strategy, including audience priorities, portfolio architecture, editorial themes, formats, calendar, investment decisions, and success measures. Designing experiences for specific buyer needs and journey stages, with a clear value exchange, CTA, follow-up path, and connection to broader campaigns. Partnering with Product Marketing, Content, speakers, customers, and subject-matter experts to create differentiated programs that make complex AI topics useful and concrete. Working closely with the Webinar Marketing Manager and production partners to translate strategy into clear briefs, run-of-show requirements, launch plans, QA, and delivery standards. Building integrated pre- and post-event motions across paid, email, web, social, SDR, Sales, and account-based channels to reach the right audiences and sustain momentum. Establishing qualification, routing, seller context, and follow-up expectations so high-intent engagement receives timely and relevant action. Defining measurement across audience quality, registration-to-attendance, engagement, CTA behavior, qualified leads, account progression, pipeline, and content reuse. Using performance data and audience feedback to improve the portfolio, retire low-value formats, and create reusable programming and activation playbooks. You might thrive in this role if you have: 10+ years of experience across B2B webinars, digital events, experience marketing, content programming, or integrated campaigns, ideally within a complex or technical category. A track record of building programs that create qualified demand and pipeline—not simply registrations, attendance, or engagement. Strong understanding of audience strategy, programming, speaker development, digital attendee journeys, promotion, production, follow-up, and measurement. Experience leading complex cross-functional programs with executives, subject-matter experts, customers, agencies, technical partners, and sales teams. Excellent editorial judgment and the ability to translate sophisticated ideas into clear, compelling audience experiences. Strong analytical discipline and comfort using audience, engagement, conversion, and pipeline data to make portfolio and investment decisions. The ability to balance strategic planning with hands-on problem solving in high-visibility, fast-moving environments. Genuine curiosity about AI and its potential to improve experience design, content workflows, audience intelligence, and personalization. Workplace & Location 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. Occasional travel will be required. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
About the Team The B2B Marketing team is responsible for helping businesses understand, adopt, and get value from OpenAI’s products. B2B marketing is a major and growing priority for OpenAI as we scale our work with companies, developers, and institutions around the world. About the Role Within B2B Marketing, Demand Generation builds the integrated, full-funnel engine that connects audience insights, content, field and digital experiences, paid media, lifecycle, and sales follow-through to qualified pipeline. We partner closely with Sales, Partnerships, Product Marketing, Communications, Creative, Web, RevOps, Analytics, and regional teams to create a cohesive customer experience and scale what works. We’re looking for a Senior Marketing Strategist to lead paid and emerging demand-channel strategy for OpenAI’s B2B business. You’ll own the B2B audience, channel, offer, partner, and measurement strategy, translating pipeline goals into clear briefs and investment recommendations. You’ll partner closely with Performance Marketing, which owns hands-on media execution, while informing audience strategy, campaign priorities, experimentation, and downstream performance decisions. You’ll also build our approach to content syndication and third-party demand media partnerships. In this role, you will: Owning the B2B paid and emerging-channel demand strategy across paid search, paid social, display and retargeting, content syndication, third-party demand media partnerships, sponsorships, review platforms, and selected emerging channels. Translating pipeline goals into audience and channel strategies, including ICP and segment priorities, buying groups, intent signals, channel roles, forecast assumptions, budget recommendations, campaign architecture, and a rolling experimentation roadmap. Partnering closely with Performance Marketing to define B2B audience, campaign, offer, creative, landing-page, conversion, and measurement requirements, while Performance Marketing owns media activation, platform operations, optimization, and day-to-day execution. Building the strategy and partner portfolio for content syndication and third-party demand media, including partner selection, audience and content fit, lead-validation standards, commercial terms, follow-up paths, and pipeline measurement. Designing full-funnel tests with Performance Marketing, RevOps, and Analytics that connect media exposure and engagement to qualified leads, meetings, opportunities, pipeline, and revenue—not platform metrics alone. Owning B2B channel-mix and budget recommendations in partnership with Finance, Performance Marketing, and Marketing leadership, using downstream performance to determine where investment should shift. Identifying and validating new demand channels through structured pilots with clear hypotheses, guardrails, success thresholds, and scale-or-stop decisions. Developing clear performance narratives and recommendations for leaders and cross-functional partners, including what’s working, what isn’t, and what should change next. You might thrive in this role if you: 10+ years of experience across B2B performance marketing, paid acquisition, demand generation, or growth, ideally supporting enterprise and multi-segment audiences. Deep expertise in B2B audience strategy, paid search, and paid social, with practical experience across content syndication, third-party demand media partnerships, audience platforms, conversion tracking, and vendor management. A track record of managing meaningful budgets and improving qualified pipeline, ROI, CAC efficiency, conversion, or revenue outcomes. Strong quantitative judgment across forecasting, experimentation, incrementality, attribution, funnel analysis, and budget optimization. The ability to set B2B strategy and provide clear execution direction while partnering effectively with a Performance Marketing team that owns channel activation, optimization, and day-to-day media operations. Excellent communication and influence across Finance, Sales, RevOps, Analytics, Creative, Product Marketing, Web, and executive stakeholders. Comfort operating in ambiguity, learning quickly, and making disciplined decisions when data is incomplete. Genuine curiosity about emerging AI-native marketing workflows and a commitment to responsible experimentation and rigorous quality control. Workplace & Location 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. Occasional travel will be required. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
About the Team The B2B Marketing team is responsible for helping businesses understand, adopt, and get value from OpenAI’s products. B2B marketing is a major and growing priority for OpenAI as we scale our work with companies, developers, and institutions around the world. About the Role Within B2B Marketing, Demand Generation builds the integrated, full-funnel engine that connects audience insights, content, field and digital experiences, paid media, lifecycle, and sales follow-through to qualified pipeline. We partner closely with Sales, Partnerships, Product Marketing, Communications, Creative, Web, RevOps, Analytics, and regional teams to create a cohesive customer experience and scale what works. We’re looking for a Senior Lifecycle Strategist to define how prospects and customers move through personalized, signal-driven journeys across the B2B lifecycle. You’ll own lifecycle strategy, audience and journey architecture, testing priorities, and performance recommendations while partnering closely with a Lifecycle Marketing Manager on build and delivery. Initially, the role will focus on prospect nurture, database activation, and sales handoff; over time, it will help expand our lifecycle capabilities across adoption, cross-sell, upsell, retention, and re-engagement. In this role, you will: Define the B2B lifecycle strategy, journey architecture, audience framework, communication principles, and roadmap across prospect and customer stages. Design nurture and activation programs that respond to fit, persona, segment, product interest, engagement, intent, and sales status rather than relying on one generic journey. Partner with RevOps, Data, Web, SDR, Sales, and Product teams to establish reliable triggers, scoring inputs, routing logic, suppression rules, exits, and service levels. Work closely with the Lifecycle Marketing Manager to translate strategy into clear program requirements, content needs, build plans, QA standards, and launch sequencing. Own the lifecycle experimentation agenda across segmentation, messaging, cadence, content, channel, triggers, and CTAs, using results to continuously improve journeys. Develop the measurement framework across reachable audience, engagement quality, progression, conversion, velocity, pipeline, adoption, retention, and incremental impact. Improve database health and addressability by partnering on acquisition quality, enrichment, consent, deliverability, governance, and audience hygiene. Build durable lifecycle playbooks and governance that balance personalization, operational simplicity, customer trust, and scalable execution. You might thrive in this role if you have: 10+ years of experience in B2B lifecycle, CRM, retention, growth, or marketing automation, with ownership of complex, multi-stage customer journeys. Deep knowledge of segmentation, nurture, personalization, automation, experimentation, deliverability, consent, and lifecycle measurement. Hands-on fluency with enterprise marketing automation and CRM concepts; Marketo and Salesforce experience is valuable, though strong equivalent experience is welcome. A track record of improving meaningful business outcomes such as qualified conversion, activation, pipeline, adoption, retention, or expansion. Strong systems thinking and the ability to translate customer and business needs into decision rules, journey logic, and clear execution requirements. Excellent partnership skills across technical, analytical, creative, sales, and customer-facing teams. Comfort working through imperfect data and evolving processes while building toward a more reliable and scalable operating system. Genuine curiosity about AI and how it can improve personalization, decisioning, content adaptation, analysis, and operations without compromising customer trust or quality. Workplace & Location 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. Occasional travel will be required. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.