2 months ago
Base Salary
$293k - $385k/yr
Responsibilities
- Design, improve, and operate scalable backend services supporting pricing, billing, ads, payments, entitlements, and other monetization capabilities.
- Own the architecture and implementation of monetization data workflows, data contracts, and integrations across product and business systems.
- Build reusable platform capabilities and developer tools for teams launching and measuring monetization products.
- Ensure correctness, availability, security, performance, reconciliation, and auditability across business-critical systems.
- Partner with Product, Design, Data, Finance, Accounting, and GTM teams to translate business needs into technical solutions.
- Lead technical design and delivery for complex cross-functional projects using system designs and RFCs.
- Improve monitoring, incident response, root-cause analysis, capacity planning, and long-term remediation for critical services.
- Mentor engineers and contribute to architecture reviews, code reviews, documentation, and knowledge sharing.
Requirements
- Minimum 7+ years of professional software engineering experience building and operating production software, backend services, or distributed systems at scale.
- High proficiency in at least one general-purpose programming language such as Go, Java, Python, Rust, or C++.
- Strong fundamentals in API design, data modeling, storage systems, distributed systems, and event-driven architecture.
- Experience designing systems with rigorous correctness, reliability, observability, security, privacy, or access-control requirements.
- Ability to collaborate with cross-functional partners, navigate ambiguity, and drive projects from problem definition through delivery.
- Clear communication skills and a product-oriented approach to translating customer and business problems into scalable system designs.
- Preferred experience with monetization, pricing, billing, ads, payments, entitlements, subscriptions, financial products, reconciliation, compliance, or audit requirements.
- Preferred experience with high-scale distributed systems, transactional workflows, event streaming, payment infrastructure, internal platforms, shared frameworks, APIs, or developer tooling.
About OpenAI
OpenAI builds and deploys large-scale AI models and tools—including ChatGPT, GPT-4–class models, DALL·E, and Whisper—sold via APIs and enterprise subscriptions to developers and businesses. It monetizes through usage-based API pricing and ChatGPT Plus/Team/Enterprise, and also reaches customers via Microsoft’s Azure OpenAI Service. Founded in 2015 and headquartered in San Francisco, it operates as a private partnership.