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OpenAI

Software Engineer, Monetization Data Systems

Mountain View (Remote)$293k–$385kfulltimemidAdded today

About this role

Senior Software Engineer role building the monetization data platform that integrates pricing, billing, payments, and ads data. You'll design and operate scalable backend services, establish data integrity guarantees, and partner across product, finance, and GTM teams to turn monetization opportunities into reliable platform capabilities.

What you'll do

  • Design and operate reliable, scalable backend services powering pricing, billing, payments, ads, and entitlements
  • Own architecture and implementation of critical monetization workflows, data contracts, and system integrations
  • Establish strong correctness, availability, security, and auditability guarantees for business-critical systems
  • Build reusable platform capabilities and developer tools enabling rapid monetization product iteration
  • Lead technical design of complex cross-functional projects with clear system designs and RFCs
  • Improve observability, monitoring, incident response, and operational excellence of critical services

What they're looking for

  • Backend systems design and distributed systems architecture
  • Proficiency in Go, Java, Python, Rust, or C++
  • API design and data modeling
  • Event-driven architecture and storage systems
  • System reliability, observability, and incident response
  • Cross-functional collaboration and clear technical communication
  • Financial systems or payment infrastructure experience (nice to have)
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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.

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Likely interview questions

  • Tell us about a complex backend system you've designed and operated at scale—what were the main reliability or correctness challenges?
  • Describe your experience building systems with strong financial or transactional correctness requirements. How did you validate accuracy?
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