Why Webflow is betting on AI-native product teams

AI is changing the economics of building software, and that means the way product teams plan, prioritize, and build has to change too.

In this episode of Product Talk, Denise Hemke sits down with Webflow CPO Ben Haefele to explore what happens when AI makes building software faster, cheaper, and more accessible. Ben shares why traditional upfront planning can actually create more risk, how Webflow is using "building backwards" to put working software in front of customers sooner, and why human judgment and customer empathy matter more than ever.

From agentic development and rapid experimentation to the rise of the product "editor," Ben offers a practical look at how leaders can redesign their teams around a faster learning loop, without losing sight of the strategic vision that keeps everyone moving in the same direction.

If you're leading a product organization in the age of AI, this conversation will help you rethink how you build, learn, and decide what deserves to ship.

In this episode, we cover:

(1:25) Why planning made sense when engineering time was expensive, and why that logic no longer holds

(3:53) What roadmaps, prioritization, and product planning look like in a world where what's possible keeps shifting

(6:05) The new bottleneck: it's not time to code, it's time to learn from what you've shipped

(7:55) Building backwards: what changes when you start with working code instead of documents and Figma files

(10:47) Why documentation written before implementation is always wrong, and how agents fix that

(12:15) Why being a great editor is now the most critical skill in the AI era

(14:42) What surprised Webflow when they started running agentic development experiments, and why best practices matter more than ever