AI Product Management jobs

The core AI PM job is scoping products around a capability that is impressive on average and wrong at the margins: choosing use cases where 90% accuracy delights instead of disqualifies, and designing fallbacks for the other 10%. It rewards PMs who treat evals as a product surface rather than an engineering chore.

Hiring managers increasingly test for hands-on fluency — come ready to discuss prompts you've written, evals you've read, and a launch where the model misbehaved. Backgrounds run from classic PM to ex-engineers and ex-data-scientists; the common thread is comfort deciding under measurement uncertainty. AI-native startups hire this remote readily; enterprises less so.