Noam Lovinsky is the CPO of Superhuman, formerly a product leader at YouTube and Meta. In this episode from Product Faculty AI CXO Podcast, Noam breaks down what it actually takes to build an AI-native organization, and why most companies are getting it completely wrong.
We cover the Grammarly to Superhuman rebrand, how you trade 16 years of brand equity for a bigger bet, what "model to pixel" execution really means at 100 billion LLM calls a week, and why Noam now requires every candidate to demo AI live in their interview.
This is not a conversation about AI tools. It's about what fundamentally changes when the cost of execution heads toward zero, and what that means for every leader, PM, and builder right now.
What we cover:
- The #1 mistake companies make when rolling out AI top-down
- Why every PM on Noam's team is expected to push code to production
- How Superhuman restructured hiring around live AI fluency
- What a world-class PM does that AI still cannot
- The one thing Noam would tell every executive in the world right now
- Why long-term planning is the first mental model you need to throw out
Who this is for: Founders, C-suite executives, product leaders, and ecommerce operators trying to understand what AI agents mean for their business right now.
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