Technical Product Manager, AI Systems

Work directly with engineers on system design, evaluation, and trade-offs-defining requirements, but shaping how the system works for global users. What You'll be Doing 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 What You Will Need Technical foundation Strong grounding in computer science fundamentals, including algorithms, data structures, and system design.