Own the end-to-end AI product strategy, grounded in technical feasibility and real-world constraints.
Translate model capabilities, data limitations, and evaluation results into clear product decisions.
Make hard trade-offs across quality, latency, cost, reliability, and user experience.
Work daily with ML, backend, and mobile engineers on design, evaluation, and iteration.
Define success metrics and feedback loops across offline evaluation, online experiments, and human feedback.
Drive execution with clear specifications, risk awareness, and disciplined prioritization.
Ensure AI features ship quickly, safely, and reliably into production.
Own AI product quality across UX, correctness, and outcomes.

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.
Experience working with model evaluation, prompt or pipeline iteration, and feedback loops.
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.

Head of Product, AI

Key skills