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The Monetization Data Platform team at OpenAI builds the trusted data and platform foundations powering the company's monetization strategy. This team integrates product usage, pricing, billing, ads, payments, and financial data to enable Product, Engineering, Finance, and GTM teams to make better decisions and deliver reliable customer experiences.
As a Senior Software Engineer, you will design and build the next generation of the monetization data platform, owning high-impact systems end-to-end from architecture through testing, deployment, observability, and ongoing operation. This is a hands-on role for an engineer who enjoys solving ambiguous customer and business problems, designing durable systems, and partnering closely with cross-functional teams.
Key responsibilities include:
- Design, improve, and operate reliable, scalable backend services powering pricing, billing, ads, payments, entitlements, and other monetization capabilities
- Own architecture and implementation of critical workflows for monetization data, data contracts, and integrations across product and business systems
- Establish strong guarantees for correctness, availability, security, performance, reconciliation, and auditability in business-critical systems
- Build reusable platform capabilities and developer tools enabling product teams to launch, measure, and iterate on monetization products quickly and safely
- Partner with Product, Design, Data, Finance, Accounting, and GTM teams to translate needs into robust technical solutions
- Lead technical design and delivery of complex cross-functional projects using clear system designs and RFCs
- Improve observability and operational excellence of critical services including monitoring, incident response, and capacity planning
- Mentor other engineers, contribute to architecture and code reviews, and share knowledge across the organization
You should have a minimum of 5 years of professional software engineering experience building and operating production systems at scale. Deep proficiency in at least one general-purpose language (Go, Java, Python, Rust, C++) with strong computer science fundamentals is essential. You should have strong fundamentals in API design, data modeling, storage systems, distributed systems, and event-driven architecture. Experience designing systems with rigorous correctness, reliability, observability, security, and access-control requirements is important.
You should be able to collaborate with cross-functional partners, navigate ambiguity, and drive progress from problem definition through delivery. A product-oriented mindset with clear communication skills—both technical and non-technical—is valued. You care deeply about correctness and operational reliability while maintaining a practical bias toward delivering customer and business value.
Nice-to-have qualifications include experience with monetization, pricing, billing, ads, payments, entitlements, subscriptions, or financial products; familiarity with financial correctness, reconciliation, compliance, or audit requirements; and experience with high-scale distributed systems, transactional workflows, event streaming, or payment infrastructure.
