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OpenAI

Software Engineer, Full Stack, Revenue Platform

San Francisco (Remote)$230k–$385kfulltimemidAdded 1 month ago

About this role

Join OpenAI's Revenue Platform team as a Full Stack Engineer to design and build the financial infrastructure powering OpenAI's commercial operations. You'll own end-to-end revenue workflows spanning APIs, data models, user interfaces, and platform services that enable billing, payments, and enterprise entitlements at scale.

What you'll do

  • Build shared full-stack platform components including APIs, data models, and UI primitives for billing, subscriptions, and usage-based pricing
  • Design scalable revenue workflows and abstractions for other product teams to compose and extend
  • Deliver end-to-end revenue capabilities in partnership with product, frontend, and backend engineers
  • Develop internal tools and platforms for Finance, Accounting, Sales, and Operations teams to manage revenue data
  • Create automation and AI-powered features to reduce manual work and surface insights
  • Define architecture standards and contracts for the shared revenue platform balancing flexibility with reliability

What they're looking for

  • Full-stack web development (5+ years)
  • Frontend frameworks (React, TypeScript)
  • Backend development (Python preferred, Node/Go acceptable)
  • Scalable backend systems and data model design
  • Event-driven or workflow architectures
  • API design and development
  • Billing, payments, or financial systems experience
  • Cross-functional collaboration and communication
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OpenAI

OpenAI builds AI infrastructure and products, including large-scale data center campuses for AI computing and generative AI applications for enterprise customers. The company is hiring civil engineers, project engineers, electrical design engineers, data center R&D engineers, and AI deployment engineers to expand its infrastructure capabilities and help customers deploy AI solutions.

View all jobs at OpenAI

Likely interview questions

  • Walk us through a full-stack feature you've built end-to-end. How did you approach the API design, data model, and frontend, and how did you ensure correctness and reliability?
  • Describe your experience with billing, payments, or financial systems. What were the biggest challenges around data integrity and auditability, and how did you address them?
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