About this role

Research and define end-to-end AI system requirements from capability to behavior to user impact
Translate model capabilities, data constraints, and evaluation results into clear product and system decisions
Make hard trade-offs across quality, latency, cost, reliability, and UX
Work closely with ML, backend, and mobile engineers on system design, evaluation, and iteration
Define and evolve evaluation frameworks across offline metrics, online experiments, and human feedback
Drive execution with clear specs, strong judgment, and disciplined prioritization
Ensure systems ship quickly, safely, and reliably, with strong feedback loops
Own product quality end-to-end
correctness, predictability, and user trust

Strong grounding in computer science fundamentals, including algorithms, data structures, and system design.
Solid understanding of ML fundamentals and how modern AI systems behave in production.
Hands-on exposure to AI-powered products, including LLM-based systems.
Significant experience owning complex, technical products end-to-end.
Proven ability to work closely with senior engineers and ML teams.
Strong judgment and decision-making ability in ambiguous, fast-moving environments.
Ability to balance ambition with technical and operational reality.

Technical Product Manager, AI Systems

Key skills