Your AI Teammate Doesn't Have a Job Description Yet
PDMA Minnesota | April 15, 2026
Description
AI works differently across every team. Learn what two years of company-wide implementation taught me and how it translates to product work.
Most AI implementation stories come from one team, one use case, one outcome. This one is different.
Over two years, AI was embedded across multiple functions inside a real company including marketing, operations, sales, HR and more. Some efforts worked. Some stalled. A few failed outright. The patterns that emerged from watching AI succeed and struggle across all of them turned out to be more instructive than any single success story.
This session shares those honest lessons then translates them directly into practical workflows for product development teams: how to delegate work to AI clearly, review outputs critically, and build repeatable habits that stick across the team.
You won't hear about AI strategy or roadmap theory. You'll hear about the messy, real-world experience of figuring out how to work alongside AI as a functional team member and what that means specifically for how product teams discover, prioritize, document, and ship.
Key Takeaways:
- Key patterns and pitfalls from an actual AI implementation - what worked and why
- A delegation framework for common product development tasks
- An AI job description worksheet your team can put to work immediately
About the Speaker
Patrick Schaber
Patrick Schaber is a B2B marketing and product leader turned AI and marketing consultant with more than 25 years of experience building revenue engines for SaaS and technology companies. After leading marketing and product teams inside growth-stage organizations, Patrick now runs his own consulting practice focused on helping leaders operationalize AI in practical, revenue-driving ways. He works with executive and revenue teams to move beyond AI experimentation and build structured systems that improve clarity, speed, and performance across marketing, sales, and leadership functions.