AI is reshaping how products are built, shipped, and measured. Companies are finding that the gap between a promising AI prototype and a product users actually trust isn't a research problem. It's a product problem. That gap is where the AI product manager (PM) lives.

Unlike traditional product managers who oversee deterministic systems, AI PMs have to navigate outputs that shift, hallucinate, and behave differently across user populations. The role requires fluency in machine learning trade-offs, evaluation systems, compute economics, and regulatory exposure — all while communicating clearly with engineers, lawyers, and executives.

This roadmap breaks the path into four phases, moving from technical fluency through to organizational leadership.…