Skip to content
Lenny's PodcastLenny's Podcast

Mayur Kamat: Why N26's CPO ditched strategy for experiments

What happens when PMs replace strategy with hypothesis-to-data cycle time; the Binance and N26 CPO argues compounding learning beats early compensation.

Mayur KamatguestLenny RachitskyhostParagon representativeguestVanta representativeguest
May 22, 20251h 37mWatch on YouTube ↗

Episode Details

EPISODE INFO

Released
May 22, 2025
Duration
1h 37m
Channel
Lenny's Podcast
Watch on YouTube
▶ Open ↗

EPISODE DESCRIPTION

Mayur Kamat is the chief product officer at N26—a $9 billion neobank serving over 7 million customers in 25 countries—where he leads product, design, data, and research. Prior to N26, Mayur was Head of Product at Binance, growing the crypto exchange to a peak $400 billion valuation. Earlier in his career, he built and scaled products at Google (Gmail Mobile, Hangouts), Microsoft, and travel unicorn Agoda. Learn:

  1. How to find and focus on the highest-leverage problems
  2. Why you shouldn’t optimize for compensation early in your career
  3. Why you should optimize for strengths, not weaknesses
  4. Why you need to decide if you truly want the C-suite path
  5. Why working at a fintech company creates exceptional PMs
  6. Strategy = hypothesis × experimentation velocity
  7. Small, fast wins compound faster than big, slow bets

*Transcript:* https://www.lennysnewsletter.com/p/unorthodox-product-lessons-from-n26-and-more *Brought to you by:* WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUs: https://workos.com/lenny Paragon—Ship every SaaS integration your customers want: https://www.useparagon.com/lenny Vanta—Automate compliance. Simplify security: https://vanta.com/lenny *Where to find Mayur Kamat:*

*Where to find Lenny:*

*In this episode, we cover:* (00:00) Introduction and Mayur’s background (04:49) Working at Binance: An inside look (18:18) Career advice for product managers (27:00) PM career paths (33:58) Understanding fintech customers (36:00) Understanding your strengths (44:46) Creating a culture of experimentation (51:14) Hiring and developing top talent (54:50) Building a diverse product portfolio (57:08) Working in high talent density areas (59:43) Personal and professional balance (01:06:32) High-leverage opportunities and decision making (01:14:28) AI tools in the workplace (01:19:14) Failure corner (01:25:11) Lightning round and final thoughts *Referenced:*

*Recommended books:*

_Production and marketing by https://penname.co/._ _For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com._ Lenny may be an investor in the companies discussed.

SPEAKERS

  • Mayur Kamat

    guest
  • Lenny Rachitsky

    host
  • Paragon representative

    guest
  • Vanta representative

    guest

EPISODE SUMMARY

In this episode of Lenny's Podcast, featuring Mayur Kamat and Lenny Rachitsky, Mayur Kamat: Why N26's CPO ditched strategy for experiments explores mayur Kamat’s unconventional playbook for faster, stronger product careers N26 CPO Mayur Kamat shares hard‑won lessons from leading product at Binance, Agoda, Google, Microsoft, and now N26, emphasizing speed of learning, experimentation, and aligning work with personal strengths. He unpacks Binance’s extreme execution culture, N26’s product and hiring philosophy, and why most PMs over-index on strategy instead of fast hypothesis testing. Mayur offers concrete career advice on choosing roles, regions, and paths (CPO vs founder vs specialist vs balanced life), and explains why early compensation and long, slow bets are usually bad optimizations. Throughout, he argues that PMs gain power and respect by making product scientific—through rigorous experimentation, deep attention to detail, and focusing only on the highest‑leverage problems.

RELATED EPISODES

How to build a company that withstands any era | Eric Ries, Lean Startup author

How to build a company that withstands any era | Eric Ries, Lean Startup author

Head of Claude Code: What happens after coding is solved | Boris Cherny

Head of Claude Code: What happens after coding is solved | Boris Cherny

Building product at Stripe: craft, metrics, and customer obsession | Jeff Weinstein (Product lead)

Building product at Stripe: craft, metrics, and customer obsession | Jeff Weinstein (Product lead)

Building a world-class data org | Jessica Lachs (VP of Analytics and Data Science at DoorDash)

Building a world-class data org | Jessica Lachs (VP of Analytics and Data Science at DoorDash)

What most people miss about marketing | Rory Sutherland (Vice Chairman of Ogilvy UK, author)

What most people miss about marketing | Rory Sutherland (Vice Chairman of Ogilvy UK, author)

5 essential questions to craft a winning strategy | Roger Martin (author, advisor, speaker)

5 essential questions to craft a winning strategy | Roger Martin (author, advisor, speaker)

Get more out of YouTube videos.

High quality summaries for YouTube videos. Accurate transcripts to search & find moments. Powered by ChatGPT & Claude AI.

Add to Chrome