AI isn’t just changing how we use software, it's changing who software is built for.
In this episode of Lessons in Product Management, John Fontenot sits down with Kimberly Logan, Head of Product at the Walrus Foundation and former Google leader, to explore the evolution of product leadership and what happens as AI agents increasingly become users of software themselves.
Kim shares lessons from her transition from technical program management into product leadership, including the shift from focusing on execution and the “how” to owning the “what” and “why.” They also discuss product-market fit, building better customer feedback loops, prioritizing under resource constraints, and how AI can make strong product managers even more effective.
Then the conversation turns toward the emerging infrastructure of an agentic world: persistent AI memory, data ownership, portability between AI systems, verifiability, and the trust problems that arise when agents begin operating across organizational boundaries.
What does product management look like when intelligence becomes cheap, but trust becomes increasingly valuable? That’s the question at the center of this conversation.
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