AI-Native Product Engineer - Manager

Turn emerging AI capabilities into products people choose to use, trust, and rely on. You will work as an end-to-end builder, close to users, product decisions, and production code, connecting the pieces that turn an AI demonstration into a durable product.

This role suits an engineer with founder-like ownership and the discipline to test assumptions early. You may move from a user conversation to a working prototype, from that prototype to a secure service, and from a production failure to a better evaluation in the same product cycle. Speed matters, but so do accessibility, maintainability, and the willingness to simplify when the evidence calls for it.

Full-stack engineering: Strong ability to build maintainable production software across modern interfaces, services, APIs, data, and integrations. AI application depth: Practical knowledge of model APIs, context design, retrieval, tool use, structured outputs, and agentic patterns. Product judgment: Ability to find the real user problem, frame clear hypotheses, and simplify the solution when evidence challenges the original idea. Evaluation discipline: Experience designing representative tests and experiments for systems whose behavior is not fully deterministic.