Technical Product Manager, AI Systems

Engineer

Technical Product Manager, AI Systems

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  • Date posted
    July 24, 2026
  • Expiration date
    October 24, 2026
  • Application ends
    October 24, 2026

Our Client Currently looking for Technical Product Manager, AI Systems

 

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.
  • Solid understanding of ML fundamentals and how modern AI systems behave in production.
  • Comfort reading, reviewing, and discussing technical design documents.

AI & ML experience

  • Hands-on exposure to AI-powered products, including LLM-based systems.
  • Experience working with model evaluation, prompt or pipeline iteration, and feedback loops.
  • Strong intuition for model limitations, hallucinations, bias, and drift.

Product leadership

  • 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.

 

Nice to have

  • Experience shipping AI-heavy consumer products.
  • Background as an engineer or highly technical product manager.
  • Experience defining evaluation metrics for ML systems.
  • Strong intuition for AI UX patterns and failure handling.
  • Prior experience in zero-to-one product environments.
  • Are you interested in this position?

     

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