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.

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.

Step away from the sessions, grab a coffee, and dive into spontaneous conversations with product leaders, builders, and AI experts.

Every PM is launching AI features but most don’t last beyond three months. The difference isn’t the model you choose, it’s the context you provide.

In this talk, Vikash Rungta introduces Context Engineering, the discipline that transforms brittle prompts into reliable, defensible AI products. Through real-world scenarios and live demos, he’ll show why the same AI model can produce both disasters and delights—and how to engineer for the latter.

You’ll see how a simple framework can make outputs trustworthy, turn failing features into revenue drivers, and help teams debug issues at the system level. From crisis response to live feature evolution, this session equips product managers and leaders with the tools to build AI products that scale, retain users, and deliver measurable impact.

Building AI products means navigating a landscape of scientific breakthroughs and uncertainties. A key challenge is validating product hypotheses when the core technology is not yet ready. This talk will explore how to ground AI research in user needs, focusing on the challenge of optimizing key technologies such as memory, reasoning, and planning modules to build a coherent, end-to-end user experience. We will also discuss how to manage the roadmap when the underlying technologies—such as large context windows in LLMs and retrieval-augmented generation—can be competing.

Step away from the sessions, grab a coffee, and dive into spontaneous conversations with product leaders, builders, and AI experts.

Close out the day with a look at where AI is heading and how to stay ahead—thought-provoking insights to carry back to your team and your roadmap.

Close out the day with a look at where AI is heading and how to stay ahead—thought-provoking insights to carry back to your team and your roadmap.

Wind down with drinks, music, and panoramic views of the Bay. One last chance to meet future collaborators, swap stories, and celebrate the day.