AI Product Management is reshaping how products are built, demanding a new mindset from traditional product leaders. Unlike deterministic software development, AI products thrive on data, experimentation, and probabilistic outcomes, requiring PMs to collaborate closely with ML teams, manage stakeholder expectations, and continuously refine models post launch. Success isn’t just shipping features, it’s navigating uncertainty, defining nuanced success metrics, and ensuring ethical, user centric outcomes. This guide unpacks the key differences, skills, and pitfalls to help product leaders thrive in the AI first era.
