The Product Podcast

In this episode of The Product Podcast by Product School, Carlos González de Villaumbrosia sits down with Jay Choi, Chief Executive Officer at Typeform. Typeform is the AI engagement platform trusted by more than 150,000 customers, including 95% of the Fortune 500. Before Typeform, Jay spent seven years as Chief Product Officer and General Manager at Qualtrics, where the company scaled from $100M to over $1B in ARR.

What you'll learn:
Breadth of surface area as a stronger AI moat than depth of use case, and why going broad is the right strategic bet right now
The dual posture Typeform built: a defensive strategy to make their core product impossible to replicate, and an offensive strategy to expand into full customer workflows
Research Flow, their new product that compresses 50 customer interviews from weeks into hours using AI-moderated research
Being model-agnostic from day one, and what they learned when switching models without an observability platform in place
The pricing experiment framework Jay uses: 30 simulations before a single market goes live
Key takeaways:
When AI threatens to commoditize your core product, expanding surface area is a stronger defense than adding AI features to what you already have
Positioning AI capabilities in plain language, not technical terminology, is the difference between adoption and abandonment
Happy churners are a product problem, not a marketing problem: the fix is finding structurally always-on use cases.
Credits:
Host: Carlos Gonzalez de Villaumbrosia
Guest: Jay Choi
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For episode 300 of The Product Podcast, Carlos Gonzalez de Villaumbrosia sits down with Ajit Varma, Head of Firefox at Mozilla, the nonprofit behind the original challenger browser that pioneered browser tabs, pop-up blockers, and browser extensions. With 210 million active users and $826 million in annual revenue, Firefox is the only major independent, open-source browser still standing against Google Chrome's 68% share, Apple Safari's 17%, and a new wave of agentic browsers. 
Before Mozilla, Ajit spent six years at Meta leading monetization of WhatsApp and overseeing its business messaging platform. He has also held product roles at Google, Uber, and Square.

What you'll learn:
Why LLMs are making browsers more strategically important, and what that means for product teams building in an agentic world
Why "trust us" is no longer enough, and how open source changes the standard for privacy in AI products
- How to compete against trillion-dollar incumbents without abandoning your mission

Key takeaways:
Privacy claims without open-source inspectability are unverifiable, "trust us" is no longer a sufficient product strategy in the AI era
Competing against trillion-dollar companies is possible when mission clarity defines what you refuse to optimize for
The agent-driven internet will either democratize access or concentrate it, product choices made today will determine which
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In this episode of The Product Podcast by Product School, Carlos González de Villaumbrosia sits down with Cristina Cordova, Chief Operating Officer at Linear, the product development system built for teams and agents. Linear raised $82 million in a Series C round in June 2025 at a $1.25 billion valuation. The company has been profitable since 2021, and serves over 20,000 paid business customers, from seed-stage startups to Fortune 100 enterprises, with a team of just 140 people. Before Linear, Cristina joined Stripe as one of its first employees, and led Platform and Partnerships at Notion.

What you'll learn:
Why keeping headcount intentionally lean is a strategic advantage
Replacing traditional interviews with paid two to five-day projects
Why PMs are the fastest-growing power users of agentic tools

Key takeaways:
A small team is not a small business. Revenue, customers, and growth rate matter more than headcount.
If you fully delegate your AI thinking, you lose your native understanding of how these products actually work
Agentic workflows are now the default, not a feature. The companies that treat them that way will pull ahead.
Credits:
Host: Carlos Gonzalez de Villaumbrosia
Guest: Cristina Cordova
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Anthropic just closed a $65 billion Series H round at a valuation approaching one trillion dollars — and has crossed $30 billion in annualized revenue, driven largely by enterprise demand. Claude Code alone became generally available in May 2025 and reached $2.5 billion in annualized revenue in February 2026, with that figure more than doubling since the beginning of 2026. 
Meaghan Choi, Head of Design for Claude Code and Cowork at Anthropic, was in that room. This conversation goes inside the operating model behind that growth.

What you'll learn:
Claude Code's evolution from an internal feature into one of the fastest-growing revenue products in history
Anthropic's secret sauce to shipping products at an incredibly high cadence while ensuring quality
How product teams get structured into small pods of 5 AI Builders and a fleet of agents, where non-engineers ship code into production
Driving enterprise adoption through PLG from technical teams
How organizations can measure AI ROI beyond AI adoption and token usage
Designing user interfaces for agentic capabilities, including CLI
Key takeaways:
Titles and role boundaries matter less than contribution. At Anthropic, designers ship code and engineers design, and the pod owns the output collectively.
Quality gates have moved downstream. The richest product learnings come from working software, not from reviewing mocks or PRDs.
Managing a team now means managing both people and a fleet of AI agents. The skills are more similar than they appear.
Credits:
Host: Carlos Gonzalez de Villaumbrosia
Guest: Meaghan Choi
Social Links:
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Eric Ries wrote The Lean Startup — a book that has sold over 2 million copies and reshaped how a generation of founders and product teams build products. Fifteen years later, he's back with a new book, Incorruptible, and a harder question: not how to build a great company, but how to keep it that way.

What you'll learn:
Why the forces destroying great companies are structural, not moral — and what that means for how you build
How Saul Price built FedMart, and Costco's Jim Sinegal each solved half the problem, and why you need both halves
How Anthropic used a purpose trust structure, the Long-Term Benefit Trust, to protect its safety mission from investor pressure
Why values on the wall fail and what the Johnson & Johnson asbestos scandal reveals about how incentives quietly overwrite principles
How builders at any level of an organization can start influencing governance without a title or authority
Key takeaways:
Success makes you a target: the more valuable your company becomes, the more pressure it faces to betray the mission that made it valuable
Ethos is the real moat: the intangible system of principles that makes a company trustworthy is harder to copy than any product or contract
Governance is not a legal formality; it is the active, ongoing practice of protecting what you built from the forces that will try to extract it
Credits:
Host: Carlos Gonzalez de Villaumbrosia
Guest: Eric Ries
Social Links:
Find out more about Product School here
Follow our Podcast on TikTok here
Follow Product School on LinkedIn here