AI Product Management

AI products fail because someone shipped a demo, not a product. The job is to know what AI can do, what it can't, and to keep the team pointed at user outcomes when the technology is screaming for attention. The work involves evaluating AI feasibility, defining success metrics for systems that aren't deterministic, designing human-in-the-loop workflows, managing stakeholder expectations when capabilities outpace expectations or the other way around, and building roadmaps that hold the line between innovation and reliability. You'll also handle the ethics, the data privacy, and the UX problems that only show up once a feature is non-deterministic.