Start the day with a welcome from Productboard’s CEO, setting the tone for what’s ahead—big ideas, sharp insights, and a new era of AI-driven product leadership.

AI is reshaping both the products we build and the way product teams operate. In this session, leaders from Instacart, Amplitude, Glean, and Microsoft share how they’re building AI products that solve real customer problems while adapting their teams and processes to keep pace. Walk away with the mindsets, practices, and product infrastructure needed to deliver on an ambitious AI vision.

AI agents are set to redefine the way we work—and product managers are leading the charge in shaping how people engage with them. Yet building, managing, and scaling these powerful tools can be overwhelming without the right approach. Hubert Palan, co-founder and CEO of Productboard, and John Kucera, Senior Vice President of Product Management at Salesforce dive into the nitty-gritty of agentic AI at the product level. They’ll share the strategic shifts in product development required to harness the power of AI.

Take time to recharge and connect over brunch with peers, whether you’re continuing a hallway conversation or meeting someone new.

Everyone knows AI products need great evaluations, but no one shows you how to build them collaboratively with your engineering team. This partnership is what separates successful AI products from frustrating failures. In this hands-on session, Aman will share his battle-tested playbook for the PM-Engineer collaboration that is essential for shipping trustworthy AI.

Attendees will learn how to: Create a Shared Framework: Defining clear ownership between PMs and Engineers at every stage, from initial "vibe coding" to production monitoring.

Establish Practical Collaboration: Learning to co-author evaluation prompts and run joint labeling sessions in a live, hands-on exercise.

Crisis-Proof Their Launch: Building a "disagreement protocol" for what to do when your perfect eval scores don't match your business metrics.

Too many AI teams think they need to chase the perfect prompt, model, or framework. The products that actually succeed share one thing in common: a strong feedback loop. Without it, AI features can stall after launch. With it, they can evolve quickly, adapt to new models and tactics, and improve with real usage.

Drawing on lessons from product teams at startups to large enterprises, Ian will share a playbook for building effective AI feedback loops from early concept stages to scaled adoption. You’ll see real-world examples what works, where teams stumble, and how PMs can contribute at every stage.

You’ll walk away with practical tips and examples you can apply immediately, so your AI products don’t just launch, they last.