Leland+ for Product Management

Build Prototypes as a Product Manager

Live walk through of how a product manager can build a clickable prototype using an AI vibe coding tool called Figma Make.

AMA: Life of a Principal PM + AI Tools to Learn

Ever wonder what it's like to be a Principal Product Manager? How about navigating the daily changes with AI and vibe coding tools? Or sitting on leadership teams and influencing senior executives on roadmap changes or shifting user needs? In this 30-minute AMA, I answer as many of your questions as I can about all things being a Principal Product Manager and navigating the daily changes with AI in our jobs, including: - What I’ve learned in 12+ years of product management across 4 large companies - How to grow your career and position yourself for promotions - The AI tools you should be learning to 10X productivity as a PM This session is for you if: - You’re a current PM trying to level up - You’re thinking about moving into product management - Wondering what AI tools PMs should be testing and learning in their jobs

Building real world products with genAI

The AI landscape is evolving faster than most teams—and candidates—can keep up. In this session, a panel of experienced AI product leaders will share candid insights on what’s actually working, where organizations are going wrong, and how product managers can position themselves to build meaningful, defensible value in an AI-first world. After quick intros and opening remarks on the biggest mistakes they’re seeing in AI today, panelists will respond to a mix of curated questions and live audience Q&A. You’ll walk away with clearer frameworks for evaluating AI opportunities, stronger language to articulate your value, and a practical understanding of how companies are approaching AI product work in 2025.

Building AI Prototypes as a Product Manager

Launching AI products requires a different approach than traditional product development. In this session, Principal Product Manager at Nike and AI expert Jon M. will walk you through the process of building AI prototypes that are functional, user-centered, and testable. You’ll learn how to translate ideas into working prototypes, validate assumptions with real users, and iterate effectively to ensure your AI product delivers lasting value. By the end, you’ll have practical strategies to bridge the gap between AI concepts and actionable product outcomes.