Full Stack Software Engineer, Monetization Platform

About the Team As AI becomes capable of doing more useful work, the way people access and pay for it needs to evolve. Monetization Platform is a new team within Growth building the systems and experiences that make that possible across the entire suite of OpenAI products. Our mission is to make powerful AI easier to access, its value easier to understand, and new ways of using it easier to bring to market. We work where product experience, platform architecture, and business strategy meet. A new plan or pricing model can change what customers can accomplish—and requires careful engineering across eligibility, entitlements, usage, and subscriptions. We turn that complexity into capabilities that product teams can build on and experiences that customers can trust. Working with Product, Design, Finance, Financial Engineering, and Data Science, we’re shaping a platform that can evolve alongside our models and products. This is an opportunity to help define a new team’s technical direction and build systems that expand what OpenAI can offer.   About the Role We’re looking for experienced Staff+ and Senior engineers who combine full-stack product instincts with strong backend and systems depth. You’ll help decide what to build, establish the architecture, and carry ideas through to working products—from a customer’s first interaction with a plan to the services that determine what they can access and use. The work spans new pricing and packaging capabilities, plan and usage experiences, and the shared UIs and tools that make launches repeatable. You’ll partner closely with Financial Engineering to connect these capabilities to subscription and billing systems, keeping customer access and state consistent as offerings evolve. You’ll have substantial ownership over technical decisions and delivery in an area where the roadmap is still taking shape. Your impact will show up in the experiences you ship, the engineering work you eliminate from future launches, and the opportunities your systems make possible.   In this role, you will: - Define and build shared pricing and packaging capabilities, including plan configuration, eligibility, entitlement integrations, and usage allowances. - Create intuitive plan and usage experiences across the stack, connecting polished interfaces to product APIs and backend services. - Turn new commercial ideas into working prototypes and experiments with Product, Finance, and Data Science, then use what you learn to guide the next iteration. - Design integrations with Financial Engineering that preserve correct access and subscription state through plan changes, migrations, asynchronous updates, and partial failures. - Build reusable components and configuration tools that let teams launch offerings with less custom engineering and fewer dependencies. - Take responsibility for production quality through migration planning, staged rollouts, testing, monitoring, and recovery paths. - Shape the technical roadmap, make clear tradeoffs between immediate launches and shared foundations, and develop other engineers through code and design reviews.   You might thrive in this role if you: - Have set architectural direction and delivered significant projects involving multiple teams, while remaining an active contributor to the code. - Bring depth in backend or distributed systems and can work across the APIs and interfaces that turn those systems into useful products. - Reason rigorously about data models, lifecycle transitions, consistency, concurrency, and what happens when an operation fails or runs twice. - Have taken loosely defined customer or business problems through discovery, implementation, and production operation. - Combine product intuition with experimentation and analysis, and care about whether customers understand and benefit from what you build. - Enjoy establishing new capabilities: choosing an initial design, shipping something useful, and improving it as the problem becomes clearer. - Build alignment across disciplines, explain technical choices clearly, and help teammates take on greater responsibility. Experience with pricing, subscriptions, entitlements, usage-based products, billing integrations, or growth platforms would be especially valuable. We also welcome engineers whose experience building demanding product or platform systems prepares them to learn this domain. 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 https://cdn.openai.com/policies/eeo-policy-statement.pdf. 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. 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