Product Manager, AI / ML / Robotics

About the role

What you'll do

• Own one AI, ML, or computer-vision product end to end: problem, users, roadmap, release.
• Set the KPI a release has to move, and hold the gate when it does not clear it.
• Decide what ships, what waits, and what dies.
• Working with engineering
• Write specs that survive the codebase, the kind engineers trust.
• Reason about architecture, cost, and latency well enough that no one can bluff you.
• Prototype your own ideas with AI tools instead of delegating every question.
• The hard part, the part most product managers dodge
• Design for the failure mode, not just the demo: the edge cases, the false positives, the long tail, the last twenty percent.
• Ship against evals and real numbers, not a spec that is either met or not.
• Build the guardrails and the fallback that turn a demo into something an enterprise will actually run.
• Outcomes, not output