About the Team
Revenue Platform sits at the intersection of customer experience, financial precision, and enterprise-grade reliability. We build both end-user experiences and the underlying platform capabilities that power invoicing, billing, payments, and revenue recognition across OpenAI. Our work spans high-leverage customer surfaces and deep, reusable platform primitives used by multiple teams. These are foundational systems that will support OpenAI’s growth for years to come, and we’re looking for engineers who care deeply about craftsmanship, correctness, and building platforms and experiences that scale gracefully and are a joy to build on.
OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. Achieving that mission requires more than great models, it demands a world-class commercial platform that enterprises can trust. The Revenue Platform team enables organizations to confidently adopt, scale, and manage their usage of OpenAI products by providing reliable, extensible financial infrastructure and shared services that power the broader ecosystem.
We’re looking for a full-stack engineer to take end-to-end ownership of critical revenue workflows and the platform abstractions behind them. You’ll work across APIs, data models, shared services, and user interfaces to solve hard problems in scale, correctness, and usability. Partnering closely with Product, Finance, Sales, Operations, and other engineering teams, you’ll turn complex business requirements into durable platform capabilities, raising the bar on engineering quality and developer experience as our products and enterprise footprint grow.
As a Full Stack Engineer on the Revenue Platform team, you will design, build, and operate platform services and user-facing interfaces that form the backbone of OpenAI’s commercial engine. You’ll collaborate with product, design, finance, and engineering partners to deliver intuitive customer experiences while also creating shared foundations that other teams can safely and efficiently build on. Your work will directly shape the reliability, scalability, and trustworthiness of OpenAI’s most critical financial workflows.
In this role, you will:
Build and evolve shared full-stack platform components including APIs, data models, services, and UI primitives that power billing, subscriptions, usage-based pricing, and enterprise entitlements across OpenAI.
Design scalable, reusable revenue workflows and abstractions that other product teams can compose to launch new offerings without reinventing core billing logic.
Partner closely with product, frontend, and backend engineers to deliver end-to-end revenue capabilities, ensuring platform components are intuitive to adopt and safe to extend.
Develop internal platforms and tools used by Finance, Accounting, Sales, Support, and Go-To-Market teams to manage, audit, and reason about revenue data efficiently.
Build automation and AI-powered capabilities within the Revenue Platform to reduce manual work, surface insights, and improve operational decision-making.
Help define the architecture, standards, and contracts for a shared revenue platform, balancing flexibility for product teams with correctness, reliability, and compliance.
Collaborate cross-functionally to translate ambiguous commercial, financial, and operational requirements into durable platform primitives that scale with OpenAI’s products and customer base.
You might thrive in this role if you:
5+ years of experience building full-stack web applications with strong fundamentals across frontend, backend, and API design.
Proficiency with modern frontend frameworks (e.g., React, TypeScript) and backend technologies (Python preferred; Node, Go, or similar also welcome).
Experience designing or working with scalable backend systems, data models, and event-driven or workflow architectures.
Strong product instincts and passion for building intuitive, high-reliability user experiences.
Experience working in environments where correctness, traceability, and data integrity matter—e.g., billing, payments, finance, enterprise SaaS, or similar domains (preferred, not required).
Comfort owning features end-to-end across UI, APIs, data, and operations.
Ability to collaborate effectively with cross-functional partners and communicate clearly with technical and non-technical stakeholders.
Are comfortable operating in fast-moving environments with evolving requirements and priorities.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
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