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The Product Podcast

The Product Podcast

Hosted by Product School

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Episodes

848

Latest episode

Aug 2026

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EN-US

About the show

Hosted by Product School CEO Carlos Gonzalez de Villaumbrosia, The Product Podcast drills deep into the minds of Chief Product Officers from Cisco, Lovable, Perplexity, Shopify and many more. We move beyond high-level theory to reveal how top executives actually lead in the age of AI. We dig deep into their real-world decision-making, strategic frameworks, and the operational playbooks used to build intelligent products. If you are a VP, Director, or CPO looking to drive innovation at scale, this is your essential listen.

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60 recent
August 19, 202628 min

Square Global Head of Product on: How to Build AI Agents People Actually Use, Why $49B Company Got Rid of General Managers | Willem Avé

Two years ago, Square tore up its general-manager model and rebuilt the entire company around functional excellence. In this episode of The Product Podcast, Carlos (CEO at Product School) sits down with Willem Avé, Global Head of Product at Square (part of Block), to unpack why they made that bet, what it costs, and how AI is now reshaping the org itself. Willem started at Block as a CTO whose company was acquired, grew up through engineering, and has seen every era of the company from the little white card reader to today's multiple product ecosystems. He explains why orgs should be built around customer outcomes (and how quality degrades the further you drift from that principle), why hardware demands a different kind of craft than software, and how Jack Dorsey's thinking pushed them toward the idea of running Block like a "mini AGI company," where AI encodes institutional knowledge instead of red tape and process. Then he opens up a live demo of "manager bot," an agent that lets a small-business owner delegate real tasks (like an inventory workflow for a bakery) without worrying about memory, connectors, or prompts. He closes with a genuine hot take on TAM and what AI agents mean for the size of the market Square can serve. What you'll learn: - Why Square replaced general managers with a fully functionalized org, and what "functional excellence" buys you - How to organize teams around customer outcomes, and why quality drops the further you drift - Why hardware craft (approachable, reliable, "it just works") differs from software craft - What it means to run a company like a "mini AGI," and how AI can encode knowledge instead of process - Why the era of the simple question-answer chatbot is ending, and what replaces it - A live look at "manager bot": delegating real business tasks to an agent - Why small-business owners want outcomes, not memory, connectors, or prompt-craft - Willem's hot take on TAM, and how agents expand who Square can serve - Why economic empowerment and democratizing advanced technology is the throughline Chapters: 00:00 Trailer 01:32 Inside Square and Block: how the teams are designed 03:34 The four orgs: audiences, platform, growth, money 04:46 Marrying hardware and software in one function 05:56 Finding leaders who understand both worlds 07:25 The DRI model and killing the silent veto 09:16 Can everyone report to one person? 11:12 Why flat orgs still need great managers 12:41 Building for people who are not on X every day 14:41 The loneliness of running a business 17:24 Demo: Manager Bot doing real work 20:19 Why AI should not create more work for sellers 22:13 Hot take: TAM is almost infinite 24:22 Killing the fragmented point solution stack 26:06 WhatsApp, Instagram, and the comms problem 27:54 Buzz and what nobody has solved yet 28:34 Closing Connect with Willem Avé: Global Head of Product, Square (Block) LinkedIn: https://www.linkedin.com/in/willem-ave/ Host: Carlos, CEO at Product School: LinkedIn: https://www.linkedin.com/in/villaumbrosia/ About Square: Square, part of Block, builds payments hardware and software plus a broader ecosystem of tools that help sellers and small businesses run and grow. Block also includes Cash App and other brands. About the Product Podcast: Product School's podcast brings you candid conversations with the founders and product leaders shaping tech. Social Links: Find out more about Product School here Follow our Podcast on TikTok here Follow Product School on LinkedIn here

August 12, 202632 min

How Skydio Ships Flying Robots With Just 20 Product Managers

Most people think of drones as toys. Alden Jones thinks of them as infrastructure. In this episode of The Product Podcast, Carlos (CEO at Product School) visits Skydio's California office to sit down with Alden Jones, VP of Product at Skydio, the autonomous drone company building "flying robots" for public safety, defense, and infrastructure inspection. With a history degree and a military background (he was a truck-driving officer running supply convoys in Iraq) rather than an engineering one, Alden explains how a vertically integrated company of nearly 1,000 people builds everything in house, from chip-level design to hardware, embedded software, and cloud, and why autonomy, not just flight, is the real product. He breaks down Skydio's "Drone as First Responder" (DFR) program, where a drone often reaches the scene before human officers, and the outcomes dashboard cities use to track response times. He compares the economics against police helicopters (roughly $3,000 an hour to operate and $10-25M to buy), walks through the defense and tactical ISR use cases shaped by the war in Ukraine, and explains how thousands of cheaper camera drones could democratize air support while saving lives. He covers physical security (where 90-95% of alarms turn out to be false), the work of earning FAA trust to unlock groundbreaking waivers, and why Skydio's $3.5B, five-year investment in US and allied supply chains is funded by revenue instead of debt. He also opens up the product org itself: roughly 20 product managers across the entire stack, "strike teams" that work like forward-deployed engineers, and a customer-first culture where PMs are expected to go watch the robot fly in the real world. What you'll learn: Why Skydio calls its products "flying robots," and the "toys to tools to infrastructure" thesis What full vertical integration looks like: chip-down design to cloud, all in house How "Drone as First Responder" changes 911 response, tracked in a live outcomes dashboard The real economics of drones vs. police helicopters How the war in Ukraine reshaped Skydio's thinking on tactical ISR and democratizing air support Why 90-95% of physical security alarms are false, and how autonomous drones clear them at near-zero marginal cost How Skydio earns FAA trust to fly beyond visual line of sight and win first-mover waivers Why a $3.5B, five-year US manufacturing commitment is funded by revenue, not debt How one pilot flying multiple drones becomes possible only through real autonomy How Skydio runs product with ~20 PMs, "strike teams," and a customer-first org design Why shipping hardware plus software (the Tesla comparison) shapes a roughly two-year program cycle Connect with Alden Jones, VP of Product, Skydio: LinkedIn: https://www.linkedin.com/in/aldenljones/ Host: Carlos, CEO at Product School LinkedIn: https://www.linkedin.com/in/villaumbrosia/ About Skydio: Skydio is a US-based manufacturer of autonomous drones ("flying robots") for public safety, defense, security, and infrastructure inspection. Founded in 2014 and headquartered in California, the company is vertically integrated across hardware, autonomy software, and cloud. About the Product Podcast: Product School's podcast brings you candid conversations with the founders and product leaders shaping tech. Social Links: Find out more about Product School here Follow our Podcast on TikTok here Follow Product School on LinkedIn here

July 29, 202646 min

How to Know Your AI Feature Actually Works (n8n's Founder's Metric) | Jan Oberhauser, CEO n8n

n8n's founder puts the company's GitHub repo, nearly 200,000 stars, right next to the paid signup button, and he's genuinely fine if you never pay. In this episode of The Product Podcast, Carlos (CEO at Product School) sits down with Jan Oberhauser, CEO of n8n, the open-source automation platform that's crossed $100 million in ARR at a $5.2 billion valuation. Jan breaks down the "fair-code" license bet that let him give the product away and still build a business, how that free version became the on-ramp into enterprises like Meta, Nvidia, Dell, Accenture, Vodafone, Deutsche Telekom, and Mercedes, and why he believes the people with the problem should build the automation themselves, not a centralized team or an outside agency. He also walks through a live build of a personal AI agent (email and calendar), shows how n8n falls back from Claude to GPT via OpenRouter when a model isn't available, and explains how enterprises get automations into production faster because each agent can only do exactly what it's been permitted to do. What you'll learn: Why n8n rejected traditional open source for a "fair-code" license, and how it avoided the community backlash that burned other companies Why trust and consistency, not features, are the real center of a community How the free, self-hosted version drives bottom-up adoption inside major enterprises Why "sprinkling AI on top" kills products, and what to build instead How to chain agents so one agent's output becomes the next agent's input Why n8n is the "connective tissue" between models, tools, and business systems How guardrails (an agent can only do what it's explicitly allowed) speed up enterprise procurement and production Why the people with the problem should own the building, not a centralized AI team How 10,000+ community templates and 500+ integrations expand what non-technical builders can ship How one company routes 75% of support through an n8n agent, with customers happier than with humans Connect with Guest (Jan Oberhauser) : LinkedIn: https://www.linkedin.com/in/janoberhauser X: https://x.com/JanOberhauser Host : Carlos, CEO at Product School LinkedIn: https://www.linkedin.com/in/villaumbrosia/ About Jan Oberholzer: Jan is the CEO of n8n, an open-source (fair-code) workflow automation and orchestration platform for building AI agents. He started the company over seven years ago, before LLMs went mainstream, and has grown it past $100M ARR at a $5.2B valuation. About the Product Podcast: Product School's podcast brings you candid conversations with the founders and product leaders shaping tech. Social Links: Find out more about Product School here Follow our Podcast on TikTok here Follow Product School on LinkedIn here

July 22, 2026Episode 30554 min

ServiceNow President & CPO on Why the Market Can't Tell AI Winners From Losers, and How to Transform Before It Kills You | Amit Zavery | E305

In this episode of The Product Podcast by Product School, Carlos González de Villaumbrosia sits down with Amit Zavery, President and Chief Product Officer at ServiceNow. The platform runs more than 75 billion workflows a year with around $15 billion in annual revenue growing over 20%. Its market cap is above $100 billion, yet the stock is down more than 30% this past year, while its AI business is on track for $1.5 billion, ahead of a $1 billion plan. Amit previously ran product and platform at Oracle for over two decades and was a VP and General Manager at Google Cloud. What you'll learn: Why the market can't yet tell AI winners from losers, and why companies that don't transform will get killed Why the idea of one company becoming the single end-to-end enterprise orchestrator is a fallacy The spare part approach that makes most enterprise AI projects fail, and what pacesetters do instead Why access is shifting from user interfaces to agents, and what taking action actually requires How to hold long-term conviction on platform bets while the market judges you on short-term sentiment Key takeaways: Transform or die: the market will separate AI-native platforms from legacy vendors Interoperability beats domination in the agentic era Governance only wins when it accelerates innovation, not when it blocks it Credits: Host: Carlos Gonzalez de Villaumbrosia Guest: Amit Zavery Social Links: Find out more about Product School here Follow our Podcast on TikTok here Follow Product School on LinkedIn here

July 15, 2026Episode 30432 min

Snapchat SVP of Engineering on How a Billion-User App Lets Everyone Ship Code Without Breaking Quality | Saral Jain | E304

In this episode of The Product Podcast by Product School, Carlos González de Villaumbrosia sits down with Saral Jain, SVP of Engineering at Snapchat, the last independent social platform operating at global scale, with 956 million monthly active users closing in on the one billion mark and a community that opens the app more than 30 times a day. Saral joined Snap nine years ago, right around the IPO, after nearly a decade leading engineering teams at Amazon Web Services, and today leads all engineering for Snapchat, spanning product experiences, multi-cloud infrastructure, and the company's machine learning and generative AI platforms. What you'll learn: How Snap lets designers and product managers ship production code, with an AI agent running the first review pass on 90% of code within 5 minutes What Casper is: the AI teammate any team at Snap can invoke from Slack or Jira to build a working prototype from a conversation How Snap turned company-wide AI adoption into business impact after early prototypes were being built and thrown away How lean startup squads mix engineers, designers, and data scientists to launch zero-to-one bets inside a mature platform Key takeaways: Quality control does not have to slow down who gets to ship, it has to change what reviews the work first Widespread AI adoption is not the same as business impact, and the gap between the two is where most AI investment is being wasted right now Small, cross-functional teams with blurred roles can move faster than traditional org structures, even inside a billion-user company Credits: Host: Carlos Gonzalez de Villaumbrosia Guest: Saral Jain Social Links: Find out more about Product School here Follow our Podcast on TikTok here Follow Product School on LinkedIn here

July 8, 2026Episode 30341 min

Axon CPTO on Building AI for Law Enforcement, Selling to Governments, and Using the Body Cam and Taser to Save Lives at Scale | Jeff Kunins | E303

In this episode of The Product Podcast by Product School, Carlos González de Villaumbrosia sits down with Jeff Kunins, Chief Product Officer and Chief Technology Officer at Axon, the company that created the Taser and the body cameras federal agencies wear. Axon ingests more video per year than YouTube, and with a market cap of approximately $32.9 billion and $2.78 billion in revenue, growing 33% year over year, it is one of the highest-growth companies in the S&P 500. What you'll learn: How law enforcement agencies are using AI inside body cameras and Tasers to save lives, not just hit metrics. Why Axon declared a public moratorium on facial recognition AI for six years and what finally changed. How Axon embeds external activists and researchers directly into product manager squads as a design input, not a compliance process. Building first-party AI models for real-time license plate detection while using foundation LLMs for everything else. Key takeaways: Axon created the Taser and the body cam, and now ingests more video per year than YouTube. Most people have never heard of them. Build only what you must to be differentiated. Everything else, license from the best available source. Ethics review is not a compliance burden. When embedded in the product lifecycle, external critics help you see around corners and design better products. Credits: Host: Carlos Gonzalez de Villaumbrosia Guest: Jeff Kunins Social Links: Find out more about Product School here Follow our Podcast on TikTok here Follow Product School on LinkedIn here

July 1, 2026Episode 30224 min

Asana CPO on Why Every Employee Is Now an AI Eval and What That Means for How Enterprises Actually Capture AI ROI | Arnab Bose | E302

In this episode of The Product Podcast by Product School, Carlos González de Villaumbrosia sits down with Arnab Bose, Chief Product Officer at Asana. Asana is the work management platform built for human and AI collaboration, trusted by over 170,000 customers including Accenture, Amazon, and Anthropic. The platform's Work Graph maps goals to portfolios to projects to tasks and serves as the foundation for Asana's AI Teammates: collaborative agents that operate inside the graph, learn from human decisions, and compound their intelligence with every cycle. What you'll learn: Why enterprise AI spend keeps returning zero productivity gains, and what is structurally breaking the loop Why every employee approval, correction, or rejection of AI output is training data that makes the system smarter over time How Asana wires its own processes through the Work Graph so that AI decisions write back automatically and compound rather than reset How PLG, forward-deployed engineers, and AI agents all report to the CPO, each under a GM who owns a revenue number Why the future of AI at work belongs to whoever has the richest shared context, not whoever has the best model Key takeaways: Individual AI productivity gains compound into zero enterprise ROI when decisions never write back into a shared system Every human approval or correction is training data. The companies that capture it structurally will pull ahead of those that don't PLG is an acquisition funnel, not a sales motion. Giving it a GM with a revenue number inside product changes the incentives entirely Credits: Host: Carlos Gonzalez de Villaumbrosia Guest: Arnab Bose Social Links: Find out more about Product School here Follow our Podcast on TikTok here Follow Product School on LinkedIn here

June 24, 2026Episode 30132 min

Typeform CEO on Why Breadth Beats Depth as an AI Moat and How to Build a Defensive and Offensive AI Strategy | Jay Choi | E301

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 Social Links: Find out more about Product School here Follow our Podcast on TikTok here Follow Product School on LinkedIn here

June 17, 2026Episode 30031 min

Mozilla Head of Firefox on The Future of Agentic Browsers and Fighting for the Open Internet Against Google Chrome, Apple Safari & Microsoft Edge | Ajit Varma | E300

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 Social Links: Find out more about Product School here Follow our Podcast on TikTok here Follow Product School on LinkedIn here

June 10, 2026Episode 29951 min

Linear COO on Rebuilding the Product Development Lifecycle for Teams and Agents — From Issue Tracker to Shared Operating System | Cristina Cordova | E299

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 Social Links: Find out more about Product School here Follow our Podcast on TikTok here Follow Product School on LinkedIn here

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