OpenAI
Product Engineer, Enterprise AI Platform
About this role
OpenAI's Business Systems team seeks a Product Engineer to build end-to-end internal applications for Finance and Supply Chain operations. You'll own the full lifecycle from discovery through production support, working across React/TypeScript frontends, Python backends, enterprise integrations, and workflow orchestration systems.
What you'll do
- Own complete product lifecycle for internal applications from problem discovery through implementation, rollout, and ongoing improvement
- Build React and TypeScript user interfaces backed by well-designed Python services and APIs
- Design and implement integrations with Oracle Fusion, Zip, and supply chain systems, including authentication, permissions, and data mapping
- Build durable workflows using Temporal or similar technologies with proper retry handling, idempotency, audit logging, and observability
- Apply AI models and agents to business workflows with validation, human review, and operational safeguards
- Collaborate directly with Finance and Supply Chain stakeholders to translate ambiguous requirements into reliable products
What they're looking for
- Python backend development with FastAPI or similar frameworks
- React and TypeScript frontend development
- Relational database design (PostgreSQL, MySQL)
- Enterprise system integrations (APIs, authentication, data mapping)
- Distributed systems and asynchronous workflow patterns
- Temporal workflow orchestration
- Production monitoring, testing, and incident response
- AI/ML model integration and evaluation
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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 OpenAILikely interview questions
- Walk us through a product you shipped end-to-end from ambiguous requirements to production—what were the key tradeoffs you made?
- Describe your experience integrating with enterprise systems like Oracle or Salesforce. How did you handle data consistency and safe writes?