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Lenny's PodcastMayur 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.
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CHAPTERS
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Cold open: Hangouts failure, why experimentation makes PM work ‘scientific’
Mayur opens with his biggest product failure: being the first PM on Google Hangouts despite massive resources and leadership attention. He uses it to frame a core belief: product work becomes a real discipline when teams can move from hypotheses to data quickly through experimentation.
- •Hangouts as a ‘spectacular failure’ despite Google’s scale and executive support
- •Long projects (6–12 months) can be derailed by macro changes outside PM control
- •PMs face constant ‘everyone has an idea’ pressure
- •Experimentation turns product decisions into a science with evidence
- •Product strategy is often just: how fast can you validate with data?
Show setup: Mayur’s background and what the episode will cover
Lenny introduces Mayur’s career across Google, Microsoft, Agoda, Binance, and N26, positioning him as a builder of high-performance product cultures. The preview highlights themes: talent development, Binance’s unique operating model, and lessons from Google’s messaging attempts.
- •Mayur’s roles across big tech and high-growth companies
- •Episode focus: hiring/developing PMs, experimentation culture, and career decisions
- •Tease: Binance operating model and Google Hangouts lessons
- •Regional differences (Asia/Europe/US) and early-career guidance
- •Podcast housekeeping and sponsor context before the conversation begins
Inside Binance: hypergrowth scale and extreme execution culture
Mayur explains Binance’s unprecedented growth from 2017 to massive scale with a surprisingly small headcount. He describes a radically flat org and a leadership rhythm designed to avoid decision bottlenecks and drive relentless execution speed.
- •Binance’s speed: category leadership within months and huge valuation growth
- •Tiny teams owning multi-billion-dollar profit centers
- •Extremely flat structure (e.g., CEO with ~55 direct reports)
- •Daily leadership meeting cadence across time zones (including weekends)
- •‘Run products via a daily meeting’ with direct ownership for urgent priorities
Being ‘in the details’ at Binance: KYC, country-by-country conversion, and “no user left behind”
Lenny probes what “in the details” really means, and Mayur answers with a concrete KYC/onboarding example across 200 countries. The chapter shows how Binance operationalized customer obsession and metric visibility at a granular level, even when impact per segment was tiny.
- •Regulation forced bank-like KYC, collapsing conversion rates
- •Managing onboarding across countries, document types, and vendors at massive scale
- •Cell-by-cell analysis (country × document type) to find conversion failures
- •Ethos: every user matters, even low-volume segments (“no user left behind”)
- •Resource scaling as a lever (e.g., rapidly expanding teams) and its trade-offs
Career acceleration for PMs: fast-growing companies, strengths, and not chasing early comp
Mayur shares the advice he repeats most: choose environments where learning compounds quickly. He argues for optimizing roles around your strengths, deprioritizing compensation early, and being honest about whether you truly want an executive path.
- •Fast growth companies accelerate learning via faster ‘compounding’ cycles
- •Strengths-first career design vs obsessing over weaknesses
- •Choose roles matching your natural working style (growth vs stakeholder-heavy work)
- •Don’t optimize for compensation early; rewards are typically back-loaded
- •Decide early whether you genuinely want the executive journey (not just the title)
Alternative PM paths: founder route, deep specialization, or identity beyond work
Lenny asks what paths exist besides the CPO ladder. Mayur outlines three common directions: founding a company, becoming a domain specialist with outsized leverage, or intentionally building a life where work is not the primary identity anchor.
- •Founding as a path when you crave control and ownership of outcomes
- •Founder reality: much of the job isn’t product as the company scales
- •Specialization examples in fintech (KYC/onboarding, fraud, cards, loyalty)
- •Breadth vs ladder-climbing: leadership without needing the top title
- •Choosing a balanced identity (family/community/creative life) intentionally
How to discover your strengths: assessments, 360 feedback, and self-observation
Mayur offers practical ways to identify strengths, from formal tools to lived experience. He shares examples of rigorous assessments used at Agoda and a Ray Dalio-style approach that compares self-perception with peer ratings.
- •StrengthsFinder and other structured tools as starting points
- •Agoda’s intensive psychological assessment approach (IQ + trait breakdown)
- •Ray Dalio-style 360 strengths assessment: self-score vs others’ scores
- •Map strengths to core PM activities (analytics, stakeholder management, execution, creativity)
- •Use ‘energy signals’: what work fills your cup vs drains it
Contrarian take: product strategy is overrated—speed from hypothesis to data is the strategy
Mayur challenges the common desire to “do strategy” and argues that for most PMs, experimentation-driven execution is the real strategic advantage. He contrasts slide-driven intuition with proof-driven learning loops and explains how this shifts power dynamics in decision-making.
- •Strategy as ‘packaged intuition’ often dominated by the loudest voice
- •Better framing: test hypotheses quickly; let results define direction
- •Quote: “Come to me with data. If you come with ideas, we’ll go with mine.”
- •Experimentation helps junior PMs win decisions through evidence
- •Where classic strategy still matters: irreversible decisions, compliance, expansion
Building an experimentation culture at N26: tools, incentives, and making PM a real discipline
Mayur describes how he operationalizes experimentation using dashboards and statistical rigor, while acknowledging areas that are harder to test (e.g., pricing/legal constraints in Europe). He argues experimentation is not just a growth tool—it legitimizes product work as a discipline and protects teams from opinion-driven chaos.
- •Using experimentation platforms (e.g., Statsig) to review impact and significance
- •Cohort-based thinking to avoid misleading aggregate conclusions
- •When experiments aren’t feasible: rely on deeper cohort reasoning and prework
- •Experimentation ‘democratizes performance’ and clarifies what works
- •It makes PM work ‘scientific’—ideas become testable, repeatable evidence
Why N26 produces strong PMs: talent density, fintech constraints, and a hedged product portfolio
Mayur explains N26’s advantages in hiring and development: strong brand in Europe, difficult fintech trade-offs, and a huge addressable market. He also shares how banking economics enable portfolio choices (savings vs lending) that can hedge macro cycles.
- •Being a ‘big fish’ in Europe helps attract top talent
- •Fintech PM reality: serving both customers and regulators with constant trade-offs
- •Experimentation as a differentiating skillset PMs can take anywhere
- •Banking as a massive TAM with resilience across cycles
- •Portfolio evolution: card-first roots → savings (high rates) → lending (as rates fall)
Career geography: West Coast talent density, global empathy, and the hidden cost of moving
Mayur compares the US, Asia, and Europe for PM career growth. He advocates starting in talent-dense hubs when possible, while also highlighting benefits of living abroad for building global product intuition—plus the downside that senior career steps often force relocations.
- •Early career: optimize for talent density and network effects (often US West Coast)
- •Industry hubs can differ (e.g., Dubai for crypto, Bangalore rising for tech)
- •Living abroad builds empathy for global user constraints and regulation differences
- •Compensation is often lower outside the US, but may be outweighed by learning
- •Senior roles can create ‘location ceilings’ requiring repeated family moves
High-leverage leadership: the ‘moving desk’ story and calendar design
Mayur explains how to choose what to work on when everything seems important: focus on problems with 10x impact, positive or negative. He illustrates with a founder who physically moved his desk to the highest-leverage department, reinforcing the need for humility and deep detail work—supported by keeping a deliberately open calendar.
- •Pick problems with disproportionate impact (growth, compliance, existential risks)
- •Founder example: literally moving a desk to where leverage is highest
- •Leverage often lives in details (conversion drop-offs, operational bottlenecks)
- •Humility: senior leaders must sometimes act as the PM to unblock outcomes
- •Tactical habit: protect time—“a full calendar is a badge of shame”
AI in practice: where it truly moves the needle (and where it doesn’t)
Mayur shares a pragmatic view: AI hasn’t yet transformed his personal CPO workflow, but it’s already a major unlock at the company level. He highlights three high-ROI categories—developer productivity, customer support automation, and fraud detection—plus lightweight tools for notes and copy.
- •Personal workflows: no single ‘game-changer’ yet for executive decision-making
- •Meeting notes via Gemini; multilingual copy support via tools like Rytr
- •Big wins: coding copilots integrated with large codebases (material productivity lift)
- •Customer support deflection for common issues (card declines, shipment status, holds)
- •Fraud detection via pattern recognition and language/behavior analysis
Failure Corner: Hangouts, macro risk, and shipping smaller to learn faster
Mayur revisits Hangouts as a major miss and expands into broader lessons about company DNA and macro uncertainty. He argues long timelines amplify uncontrollable risk, reinforcing his preference for rapid validation and smaller bets—illustrated with a payments initiative that was derailed by COVID despite early promise.
- •Hangouts failure despite massive resources; messaging fit vs company DNA
- •Belief: some companies struggle to win in certain product categories due to culture/founder DNA
- •Macro volatility: travel during COVID, crypto amid regulatory scrutiny
- •Lesson: avoid long projects when possible; validate earlier with smaller launches
- •Agoda payments hardware/software experiment worked—then demand collapsed post-COVID
Lightning round and wrap: books, products, motto, best food, and how to reach Mayur
The conversation closes with rapid-fire recommendations and personal preferences, then practical ways to connect. Mayur shares books on strengths and holistic wealth, favorite products, a decision-making motto centered on speed, and his view that Bangkok wins on food—before pointing listeners to N26 and his contact channels.
- •Recommended books: The Five Kinds of Wealth; StrengthsFinder 2.0
- •Products: N26/Revolut, Robinhood’s motion design, Bible Chat, Suno for music creation
- •Motto: “No right or wrong decision—just slow or fast decisions” (with caveats)
- •Best food city: Bangkok (with Barcelona as runner-up)
- •Contact: LinkedIn/Facebook, N26 careers, and trying the product in Europe
Publisher timestamps
- 0:00Introduction and Mayur’s background
- 4:49Working at Binance: An inside lookRead this chapter
- 18:18Career advice for product managersRead this chapter
- 27:00PM career paths
- 33:58Understanding fintech customersRead this chapter
- 36:00Understanding your strengthsRead this chapter
- 44:46Creating a culture of experimentationRead this chapter
- 51:14Hiring and developing top talentRead this chapter from 51:15
- 54:50Building a diverse product portfolioRead this chapter
- 57:08Working in high talent density areasRead this chapter
- 59:43Personal and professional balance
- 1:06:32High-leverage opportunities and decision making
- 1:14:28AI tools in the workplace
- 1:19:14Failure corner
- 1:25:11Lightning round and final thoughts
