AI-Native PMs: Product-Market-Fit in 2026
Hosted by Jiri Kobelka
Thu, Mar 26, 2026
3:00 PM UTC (30 minutes)
Virtual (Zoom)
Free to join
Thu, Mar 26, 2026
3:00 PM UTC (30 minutes)
Virtual (Zoom)
Free to join
What you'll learn
Why 2015-era discovery frameworks silently broke
AI removed the building bottleneck. The frameworks never adapted. See what changed and why most teams missed it.
The data hierarchy flip top teams quietly made
The best product teams reversed which customer signals they prioritize. You'll learn the new hierarchy and why it works.
Spot product-market fit signals most PMs miss
Counterintuitive patterns in customer conversations predict PMF earlier than NPS or surveys. Learn what to watch for.
Why this topic matters
AI tools like Claude Code and Cursor dramatically reduced the cost of building. But building was never the real bottleneck - deciding what to build was.
I’ve talked to 200+ product teams about how they make product decisions. Most still follow the same playbook from 2015–2020.
The teams that figured out something different flipped the entire discovery hierarchy - and the results aren’t even close.
You'll learn from
Jiri Kobelka
CEO of ClosedLoop AI (ex-CPO at QuickNode and Tatum)
Co-founded Tatum, scaling it to 150K+ developers and $50M raised. CPO at QuickNode. Now works with product teams on AI-native product feedback loop.
Interviewed 200+ teams about how they decide what to build. Obsessed with one question: Why 80+% of features still fail?
Previously at
