The PMM Stack That Actually Works Today

​Every product marketer is running some version of the same half-built setup. A custom GPT here, a Claude project there, a Cowork workflow, maybe an MCP or two wired in over a weekend. Spinning up an agent has never been easier.

​The hard part is building a stack that holds up under real PMM work:

• ​Launches that cannot slip

• ​Battle cards that stay current

• ​Win/loss that informs the next quarter

• ​Positioning grounded in signal rather than guesswork, and enablement that sales will actually use.

​This panel skips the hype and gets practical. Three operators who have built and run AI-native marketing stacks share what is working right now, what broke along the way, and where they still keep a human firmly in the loop.

​Expect real workflows, honest tradeoffs, and concrete examples you can borrow on Monday morning. You will leave with a clearer view of three things: how to turn messy customer signal into sharp positioning, how to use AI to move buyers through self-serve journeys, and how to scale an AI practice across a team without drowning in generic output.

​If your stack is half-built, this is the session that helps you finish it.