What changes?
- Shaun Russell

11.30
Main Stage K6

Simonetta Batteiger: The Territory Changed. Welcome to Mapmaking.

Hayder Schneider: How to Build AI Products That Work for Your Customers and Your P&L

Jan Werner: Less Handoffs. More Hands-On.

The Territory Changed. Welcome to Mapmaking.

We've spent years building expertise. Pattern recognition. Judgment. Product Sense. A feel for the work. And then the ground shifted and suddenly we're not sure how much of that still counts. Let's sit with that discomfort for a moment, and then explore a way through it.

Because the territory changing is real. But our craft was never about knowing the entire terrain by heart. It was always about being able to make sense of what's in front of us, learn as we go, and stay oriented under uncertainty. Product work has always been about navigating well and updating our maps when the landscape shifts, however unfamiliar it looks.

The territory changed. We didn't lose the craft. We don't need the perfect map. We need to remember we're mapmakers!

This talk makes that concrete. We'll explore different lenses available to you depending on where you stand in relation to AI; and what good mapmaking looks like from each. And we'll look at how to approach the learning journey ahead: not as a race to catch up, but as deliberate, purposeful navigation. You'll leave with a way of building your own navigation system. One designed to hold up even as the terrain keeps shifting.

Simonetta Batteiger
LinkedIn: https://www.linkedin.com/in/simonettabatteiger/

How to Build AI Products That Work for Your Customers and Your P&L

More teams are powering their products with AI. But are they really building something customers will pay for? And can the business sustain the cost of serving them? These questions matter more than ever, because AI carries a cost that traditional software never had: every user request runs on specialized infrastructure with a real price tag. The consequence of AI's cost structure is a fundamental shift in unit economics. Serving more customers means spending more money, and spending more money means a higher P&L impact. This is why product teams can no longer defer the commercial questions. They have to answer them before they build. Commercial acumen is therefore becoming the defining skill for AI product teams. This talk gives product leaders a practical framework: what makes AI costs structurally different, how to build products that deliver value customers are willing to pay for, what pricing and monetization approaches work for AI products, and how to align your organization around the commercial questions.

Hayder Schneider
LinkedIn: https://www.linkedin.com/in/hayderschneider/

Less Handoffs. More Hands-On.

Product teams are built on handoffs. PM writes the spec, designer creates the mockup, developer builds it, data analyst checks if it worked. Every step waits for the last one. And nobody dares to touch someone else's domain – because that's "not your job." Sounds familiar?

AI is breaking this model – not in theory, but in practice. Across our product org at Instaffo, we work fundamentally differently than we did 18 months ago. PMs deploy prototypes to production in minutes. Designers query data without waiting for an analyst. This isn't about everyone doing everything – it's about expanding what each person can own, for the user, not for their ego. But it takes openness and a willingness to grow beyond your title.

I'll walk you through what this actually looks like: from a data analytics agent that answers questions I'd never find on any dashboard, to a prototype pipeline that goes from Claude Code to production in minutes, to a Product Operating System that gives every team member the context to solve problems on their own. When everyone can contribute, impact stops waiting in line.

Jan Werner
LinkedIn: https://www.linkedin.com/in/wernerj/