AI is forcing a fundamental rethink of how product teams—and the organizations around them—are designed. As AI systems take on more of the procedural and coordination-heavy work, traditional boundaries between product, design, engineering, operations, marketing, and go-to-market functions are beginning to shift. The result isn’t a single blended role, but teams that operate with greater shared context, fewer handoffs, and faster decision-making. This talk takes a “show, not tell” approach, using live, end-to-end walkthroughs to demonstrate how work moves through an AI-first product team—from discovery and decision-making to delivery, launch, and learning. You’ll see how AI supports coordination across disciplines while preserving deep expertise within each function. For product leaders, the challenge is no longer optimizing individual roles in isolation, but designing teams that can align intent, surface tradeoffs early, and act with clarity across functions. You’ll leave with concrete principles for structuring AI-ready teams, understanding where responsibilities converge (and where they shouldn’t), and leading through this evolution without sacrificing accountability, craft, or focus.