The Product Podcast

AI is collapsing the silos between design and engineering. In this episode, Carlos Gonzalez de Villaumbrosia, CEO at Product School, sits down with Ed Bayes (Design Lead, OpenAI) and Matt Colyer (Product Director, Figma) to discuss their groundbreaking integration that enables a seamless round-trip workflow from code to canvas.Matt Colyer walks us through a step-by-step demo of the new code to canvas and right to Figma capabilities. You’ll see exactly how OpenAI’s Codex and Figma’s Plugin API allow builders to move fluidly between development and design environments, using AI agents to update design systems and iterate faster than ever before.What you'll learn:Step-by-step demo: Moving from a code component in Codex to a live Figma design.How the round-trip workflow eliminates lossy handoffs between designers and devs.Strategies for using AI agents to update design libraries autonomously.The impact of Model Context Protocol (MCP) on product team interoperability.Key takeaways:Velocity as a Moat: How AI-native tools are accelerating the speed of prototyping.The Evolving PM Role: Why curiosity is now more critical than technical hurdles.Human Judgment: Why AI increases the premium on high-level design taste.Credits:Host: Carlos Gonzalez de VillaumbrosiaGuests: Ed Bayes and Matt ColyerSocial Links:Find out more about Product School hereFollow our Podcast on TikTok hereFollow Product School on LinkedIn here

In this episode, Carlos Gonzalez de Villaumbrosia, CEO at Product School, sits down with Diya Jolly, CPTO at Xero, the global accounting platform trusted by over 4 million customers. Diya shares how Xero is redefining B2B software by building JAX, an agentic AI platform that intelligently manages specialized sub-agents to streamline business operations.What you'll learn:How Xero built an agentic AI platform that orchestrates multiple agents across payroll, payments, and bank reconciliation workflows.The strategy for implementing strict guardrails to ensure accuracy in highly regulated, AI-driven accounting processes.How to design a global product that scales common services while adapting to hyper-local tax and payment requirements.The two-way door framework for accelerating product decisions and course-correcting with imperfect data.Key takeaways:Why the future of SaaS interfaces is conversational, transitioning users away from static dashboards into review and insight roles.The strategic advantage of combining product and technology leadership into a single CPTO role to drive tighter cross-functional alignment.Why deeply serving the SMB market requires specialized product design that balances consumer-grade simplicity with enterprise-grade workflow depth.Credits:Host: Carlos Gonzalez de VillaumbrosiaGuest: Diya JollySocial Links:Find out more about Product School hereFollow our Podcast on TikTok hereFollow Product School on LinkedIn here

In this episode, Carlos Gonzalez de Villaumbrosia, CEO at Product School, interviews Vanessa Lee, Vice President of Product at Shopify, the engine of global commerce powering over $1.1 trillion in sales. As the most senior product leader at Shopify reporting directly to the CEO, Vanessa oversees the product strategy for a platform with a $165B+ market cap and recent 30% year-over-year revenue growth. A two-time YC founder, Vanessa brings a builder’s mindset to leadership, emphasizing the need for technical fluency and courage as a service when making high-stakes decisions.What you'll learn:AI-Native Playbook: How Shopify transitioned from traditional SaaS to agent-led commerce.Internal AI Evals: How to use LLM-based judges to grade and ensure product quality.Technical Product Leadership: Why staying involved in API details and technical cohesion is critical for senior roles.The Versioning Framework: The strategy Vanessa used to successfully push back and convince her CEO to version Shopify's API.Key Takeaways:Beyond the PRD: Shifting focus from rigid specs to training AI models for non-deterministic outcomes.Courage as a Service: How to leverage deep domain expertise to find your screw it moment and drive organizational change.The Founder Mindset: Maintaining autonomy and an experimental spirit within a 10,000-person global organization.Credits:Host: Carlos Gonzalez de VillaumbrosiaGuest: Vanessa LeeSocial Links:Find out more about Product School hereFollow our Podcast on TikTok hereFollow Product School on LinkedIn here

In this episode, Carlos Gonzalez de Villaumbrosia, CEO at Product School, sits down with Robby Stein, VP of Product at Google Search. Google Search serves billions of users and holds over 90% of the global market share, acting as the engine behind Alphabet's $400 billion in annual revenue.Robby is steering the most significant shift in Search history: the transition to AI. He oversees a massive portfolio, including the new AI Mode, which has already scaled to 75 million daily active users. Drawing from his time building Stories and Reels at Instagram, Robby breaks down how to build zero-to-one products inside a tech giant and why you need high conviction to push through early bad data.What you’ll learn:Building Like a Startup: How to maintain crazy speed and focus on zero-to-one initiatives while protecting a massive core business.True Product-Market Fit: Why flat or J-curve retention in early cohorts is the only reliable indicator that a product is actually working.The Value of Colossal Disasters: The untold story of how early failures with Instagram Reels and Close Friends were necessary steps to global success.Agentic Search: How Google is moving beyond providing links to executing complex, multi-step tasks by deeply understanding personal context.Key takeaways:Start Small to Win Big: Even at Google's scale, massive AI products begin with just 500 trusted testers and a focus on solving specific user complaints.Look for the Golf Shot: When building AI, look for that rare moment when the whole system works perfectly to build the conviction needed to keep iterating.Leaders Must Co-Create: To move fast in a large org, leaders shouldn't just approve from the top; they need to form working groups and operate in the details.Credits:Host: Carlos Gonzalez de VillaumbrosiaGuest: Robby SteinSocial Links:Find out more about Product School hereFollow our Podcast on TikTok hereFollow Product School on LinkedIn here

In this episode, Carlos Gonzalez de Villaumbrosia interviews Chris Geoghegan, VP of Product at Zapier. As the company’s first-ever Product Manager, Chris has spent nearly a decade scaling Zapier into a $5 billion automation giant that serves over 3.4 million businesses and 69% of the Fortune 1000.Zapier is not just building AI tools; they are powering their entire company with them. Chris reveals that his team currently runs over 800 active AI agents internally to manage everything from calendar prep to engineering triage. He breaks down the Code Red moment that shifted their strategy and how they are defining the future of Agentic Workflows.What you’ll learn:Agentic vs. Deterministic: Why standard workflows follow a set path, while agents can reason, access knowledge, and change course to solve problems.The Orchestration Layer: How to hire and onboard AI agents using Context Engineering and Model Context Protocols (MCPs).Adoption vs. Transformation: Why adoption is just doing old tasks faster, while transformation unlocks business models that were previously impossible.Building a Moat: How Zapier uses its vast data on user intent to stay ahead of commodity LLM features.Key takeaways:Treat Agents Like Employees: You can't just deploy an agent; you must onboard it with specific context and tools to be effective.Lead by Building: Transformation fails if leaders don't use the tools. Zapier’s execs do show-and-tell sessions to prove they are hands-on.AI Governance is Key: To move up-market to the enterprise, you must solve for Observability (who sent what data) and Access Control.Credits:Host: Carlos Gonzalez de VillaumbrosiaGuest: Chris Geoghegan Social Links:Find out more about Product School hereFollow our Podcast on TikTok hereFollow Product School on LinkedIn here

In this episode, Carlos Gonzalez de Villaumbrosia, Founder & CEO at Product School, interviews Tim Simmons, Chief Product Officer at Walmart International, the retail giant serving 255 million customers weekly across 18 countries. Tim is leading a massive transformation to move from decentralized tech stacks to global platforms that empower local innovation.Tim explains why complexity is actually a competitive advantage when training AI. He dives deep into Agentic AI and the concept of Orchestrators—systems that manage workflows between agents to automate tasks like user story generation with 88% accuracy. He also shares the strategy behind the Walmart Translation Platform (WTP), which has cut translation costs by 99% while increasing speed and trust.What you'll learn:The Orchestrator Strategy: How to build AI systems where project manager agents coordinate tasks for maximum efficiency.Global vs. Local: A framework for building core platforms that scale while allowing for hyper-local customization.The ROI of AI: How Walmart tracks adoption and accuracy, not just productivity.Human in the Loop: Why keeping humans involved in AI workflows actually makes the models smarter over time.Key takeaways:Complexity is Data: The more you expose AI to your organization's complexity, the more resilient and accurate it becomes.Trust Through Nuance: Successful localization isn't just word-for-word translation; it's about capturing intent to build customer trust.Platform Discipline: Moving from bespoke builds to multi-tenant codebases is essential for scaling innovation globally.Credits:Host: Carlos Gonzalez de VillaumbrosiaGuest: Tim SimmonsSocial Links:Find out more about Product School hereFollow our Podcast on TikTok hereFollow Product School on LinkedIn here

In this episode, Carlos Gonzalez de Villaumbrosia, CEO & Founder at Product School, interviews Aparna Sinha, SVP of Product at Vercel, the cloud platform recently valued at $9.3 billion following a $300 million Series F. Aparna joins us to discuss how Vercel is powering the next generation of AI-native applications.Drawing from her experience at Google Kubernetes and Pear VC, Aparna reveals how Vercel empowers Teams of One to ship faster than ever. She explores the cultural shift required to build in the AI era—moving from rigid planning to rapid experimentation and iterating to greatness.What you'll learn:How Vercel’s Team of One philosophy maximizes developer leverage.Why shipping imperfect products early is crucial for AI strategy.The mechanics of Hybrid Pricing to balance AI costs and value.How to use internal dogfooding to accelerate product quality.Key takeaways:Speed is Survival: In the AI era, waiting for perfection means falling behind.Agency over Hierarchy: Small, autonomous teams outperform large structures.Price for Value: Align AI pricing with user outcomes, not just compute costs.Credits:Host: Carlos Gonzalez de VillaumbrosiaGuest: Aparna SinhaSocial Links:Find out more about Product School hereFollow our Podcast on TikTok hereFollow Product School on LinkedIn here

In this episode, Carlos Gonzalez de Villaumbrosia, CEO & Founder at Product School, interviews Anique Drumright, General Manager and VP of Product at Rippling, the workforce management platform valued at $16.8 billion with over $570 million in ARR.Anique is a product veteran who has shaped high-growth teams at Uber, TripActions, and Loom. Now at Rippling, she helps lead a workforce of over 4,000 employees, including 100 former founders, to maintain the speed and ownership typically lost at scale. In this conversation, Anique breaks down how Rippling successfully operates as a compound startup and why product leaders must evolve into General Managers.What you’ll learn:How to pivot from managing a backlog to owning a P&L as a GM.The Compound Startup framework for consolidating enterprise categories.How to build high-performing teams by hiring for "founder-level" curiosity.Strategies for proving ROI to enterprise customers to drive platform adoption.Key takeaways:Go and See: Why leaders must personally investigate customer issues to set the bar for quality.Singular Obsession: How to organize teams to maintain focus and velocity as you scale.Automating ROI: How Rippling uses product efficiency to justify headcount reduction for clients.Credits:Host: Carlos Gonzalez de VillaumbrosiaGuest: Anique DrumrightSocial Links:Find out more about Product School hereFollow our Podcast on TikTok hereFollow Product School on LinkedIn here

In this episode, Carlos Gonzalez de Villaumbrosia interviews Andrey Khusid, Co-founder and CEO of Miro, the visual collaboration platform valued at an estimated $17 billion with over 100 million users. Andrey reveals how Miro transformed from a simple browser whiteboard into a central hub for innovation, serving 250,000 customers worldwide. He discusses the critical shift from best-of-breed tools to platform suites and how Miro is aggressively integrating AI to support agentic workflows.What you'll learn:How to apply day one thinking to constantly reinvent your product strategy.Why speed of learning is the only true competitive moat in the AI era.How to navigate the tension between market consolidation and AI experimentation.The role of acquisitions in scaling a product team to 1,600 people.Key Takeaways:Reinvention is Mandatory: Why you must risk short-term revenue to secure long-term relevance.AI as a Teammate: Moving beyond features to humans and AI working together to solve problems.Fast Fashion Software: How to build a Lovemark brand to survive rapid commoditization.Credits:Host: Carlos Gonzalez de VillaumbrosiaGuest: Andrey Khusid Social Links:Find out more about Product School hereFollow our Podcast on TikTok hereFollow Product School on LinkedIn here

In this episode, Carlos Gonzalez de Villaumbrosia speaks with Rachel Wolan, CPO at Webflow, the visual development platform valued at $4 billion that empowers over 3.5 million designers worldwide. Rachel discusses Webflow’s bold strategy to evolve into an AI-native experience platform with the launch of AppGen, a tool bridging the critical gap between AI prototyping and true production for enterprises like The New York Times and Spotify.What you'll learn:The ICCPO Framework: Why modern leaders must remain patient zero and use their own tools to understand the systems they build.From SEO to AEO: Why Product Managers must now own Answer Engine Optimization as a primary distribution channel.AppGen Strategy: How to move beyond simple wrappers to generate full-stack, on-brand web apps directly from prompts.Key Takeaways👇:Build Your Own Leverage: How Rachel built her own Chief of Staff AI agents to automate research and scale her output.Production-Ready AI: Why the real opportunity lies in making AI outputs secure and brand-consistent for enterprise use.New Distribution: Adapting product strategy for a world where discovery happens through AI agents, not just search engines.Credits:Host: Carlos Gonzalez de VillaumbrosiaGuest: Rachel WolanSocial Links:Find out more about Product School hereFollow our Podcast on TikTok hereFollow Product School on LinkedIn here

In this episode, Carlos Gonzalez de Villaumbrosia interviews Zeb Hermann, General Manager, v0 at Vercel, the AI cloud platform recently valued at $9.3 billion. Zeb oversees v0, which has grown to 3.5 million unique users by fundamentally changing how developers and PMs build software.Zeb dives into the operational shifts required to transform developer workflows and increase velocity. He explains why Vercel prioritizes a "vetoe-based" culture over approvals and how AI tools are enabling a new era of "full-stack" designers and PMs who contribute directly to the codebase.What you'll learn:Speed as a Principle: How to move from an approvals-based culture to a "vetoes-based" culture.The "Full Stack" Team: Why the most effective teams have designers and PMs who ship their own PRs.Prototype to Production: Strategies for closing the gap between AI prototypes and production-ready applications.Key takeaways👇Impact Over Hours: Why the "996" culture is wrong and how to measure true team impact.Eliminating Handoffs: How to reduce coordination costs by empowering individuals to make product decisions.Broadening Literacy: Why the future of workflows is about more people understanding code, not just using client-side overrides.Credits:Host: Carlos Gonzalez de VillaumbrosiaGuest: Zeb HermannSocial Links:Find out more about Product School hereFollow our Podcast on TikTok hereFollow Product School on LinkedIn here

In this episode, Carlos Gonzalez de Villaumbrosia interviews Elena Verna, Head of Growth at Lovable—the fastest-growing AI startup to ever surpass $100M in ARR, hitting the milestone in just eight months. With a proven track record leading growth at Miro, Amplitude, Superhuman, and Dropbox, Elena brings unparalleled expertise in driving sustainable, product-led growth across both hyper-growth and turnaround environments.Elena shares how building in the fast-moving “vibe coding” category requires a radical shift in how we define product-market fit, structure growth teams, and measure success. From product-led monetization loops to redefining brand as a product responsibility, Elena outlines a bold vision for what growth looks like in the age of AI-native products.What you’ll learn:How Lovable ships at record speed, with daily product updates and a 3-tier launch model.How AI-native products redefine activation, retention, and monetization.Why product teams must now own brand experience—not just featuresHow Elena designs feedback, education, and referral loops that turn users into growth engines.The evolving role of activation, retention, and monetization in AI-native PLG.Key Takeaways 👇Velocity as a Moat: Why rapid shipping is a survival strategy in AI-first companies.Always-Evolving PMF: How Lovable redefines product-market fit weekly in a category shaped by fast-moving LLMs.Product-Led Brand: Why every product touchpoint must be “lovable”—and how that standard powers word-of-mouth loops.Credits:Host: Carlos Gonzalez de VillaumbrosiaGuest: Elena Verna Social Links:Find out more about Product School hereFollow our Podcast on TikTok hereFollow Product School on LinkedIn here

In this episode, Carlos Gonzalez de Villaumbrosia interviews Dheerja Kaur, Chief Product Officer at Hims & Hers, the publicly traded health and wellness platform with a market cap of over $10 billion and more than 3 million active users across its Hims and Hers consumer brands.At Hims & Hers, Dheerja is building the future of preventative care by combining diagnostics, clinical guidance, and personalized treatments—all delivered through a consumer-grade digital experience. From healthcare to fintech, Dheerja breaks down how PMs can master regulatory nuance without sacrificing speed or UX, why pairing product with clinical and compliance experts is a superpower, and how to turn constraints into differentiation through org design, platform thinking, and data. What you’ll learn:Why product leadership in regulated industries requires a different kind of PM muscle.How Hims & Hers is expanding from transactional treatments to full-stack preventative care.The rationale behind maintaining two separate apps—and how that unlocks personalization at scale.How AI is powering internal tools, treatment plans, and personalized health journeys.Key Takeaways 👇 Building for Impact, Not Just Efficiency: Why Dheerja prefers mission-driven industries that improve lives over “fun” products.Product Meets Clinical: How Hims & Hers pairs PMs with in-house physicians to co-create treatment and diagnostic experiences.From Health Stack to Health Loop: Why continuous testing, personalized treatments, and AI-powered insights are the future of digital health.Credits:Host: Carlos Gonzalez de VillaumbrosiaGuest: Dheerja KaurSocial Links:Find out more about Product School hereFollow our Podcast on TikTok hereFollow Product School on LinkedIn here

In this episode, Carlos Gonzalez de Villaumbrosia interviews Jeetu Patel, Chief Product Officer at Cisco, as he explores the critical intersection of AI, cybersecurity, and collaboration. Jeetu shares how Cisco is designing next-generation security products to protect enterprise systems in an AI-driven world. He discusses the balancing act between speed and safety, and how the rapid pace of AI adoption is reshaping both cybersecurity and enterprise software.Jeetu dives into the frameworks Cisco uses to innovate securely at scale and why trust, privacy, and responsible AI design are central to their approach.What you’ll learn:How AI is transforming the cybersecurity landscape and the enterprise software industry.Frameworks for balancing innovation and security at scale.The role of trust, privacy, and responsible AI design in product development.Key Takeaways 👇AI in Cybersecurity: How Cisco is leveraging AI to build next-gen security products that adapt to emerging threats.Building Secure Innovation: Practical approaches for ensuring scalable, secure innovation in a rapidly changing landscape.The Future of Responsible AI: Why Jeetu believes privacy and ethical AI practices are critical for maintaining trust in an AI-powered world.Credits:Host: Carlos Gonzalez de VillaumbrosiaGuest: Jeetu PatelSocial Links:Find out more about Product School hereFollow our Podcast on TikTok hereFollow Product School on LinkedIn here

In this episode, Carlos Gonzalez de Villaumbrosia interviews Dylan Field, Co-founder and CEO of Figma, the collaborative design platform powering the product development process at companies like Microsoft, Google, and Airbnb. Since launching in 2012, Figma has grown from a browser-based design tool into a multi-product ecosystem spanning design, whiteboarding, presentations, and AI workflows.Dylan shares the product and org strategy behind Figma’s evolution—from a single design surface to a platform that now includes Figma Make, Slides, Dev Mode, Sites, Draw, and more. He explains how Figma is building toward a world where anyone—not just designers—can move from idea to execution faster, and why “good enough is no longer enough” when it comes to design in the AI era.In this conversation, Dylan goes deep on building communities around products, the value of product leaders embracing design as a strategic differentiator, and how Figma is thinking beyond prompts to redefine human-AI interaction. He also shares lessons from product expansion, building for non-designer users, and how he still carves out time to jailbreak LLMs and test prototypes hands-on.What you’ll learn:How Dylan shaped Figma into a multi-product platform that merges code, design, and collaboration.Why FigJam's “fun” factor was a deliberate strategic decision—and how it saved the product.How Figma is integrating with ChatGPT and third-party data tools to redefine surface area and workflow.The case for design-led thinking across every function of a modern product team.Key Takeaways 👇Design as Strategy: Why Dylan believes design is at the top of the software value stack—and how product leaders can use it to differentiate and win.From Prompt to Platform: Figma’s vision for bridging AI-native workflows, intuitive UX, and agent-powered collaboration.Org Design for Multi-Product Teams: Lessons in org structure, adoption measurement, and how to know when a feature becomes a standalone product.Credits:Host: Carlos Gonzalez de VillaumbrosiaGuest: Dylan FieldSocial Links:Find out more about Product School hereFollow our Podcast on TikTok hereFollow Product School on LinkedIn here

In this episode, Carlos Gonzalez de Villaumbrosia sits down with Meredith Brown, SVP and GM of Trailhead at Salesforce, the global CRM leader trusted by over 150,000 enterprises and powering customer success for the world’s most influential brands. Meredith, a former Chief Product Officer turned product-led community builder, now leads Trailhead—the platform that has upskilled nearly 10 million learners worldwide—on a mission to shape the agentic enterprise era.A veteran product executive, Meredith shares how Salesforce is redefining workforce transformation through free, AI-driven learning and peer-to-peer community engagement. She explains how her team measures success not in revenue, but in customer adoption and ROI—bridging the gap between skilling, real-world application, and business value. From internal dashboards that track AI tool usage to gamified certifications like Agent Blazer Champion, Meredith reveals what it takes to drive enterprise-wide AI adoption at scale and sustain a true culture of continuous learning.What you’ll learn:How Salesforce is preparing every employee—and customer—for the agentic enterprise.The metrics and dashboards that connect AI adoption to business impact.Why community-led learning drives faster enterprise transformation than traditional training.How to create scalable, human-centered AI upskilling programs in your own organization.Key TakeawaysAI Transformation at Scale: Salesforce’s playbook for skilling millions through Trailhead.Adoption Meets ROI: How AI literacy translates into measurable customer success.The Future is Agentic: Why the next frontier of product leadership blends human creativity with AI collaboration.Credits:Host: Carlos Gonzalez de VillaumbrosiaGuest: Meredith BrownSocial Links:Find out more about Product School hereFollow our Podcast on TikTok hereFollow Product School on LinkedIn here

In this episode, Carlos Gonzalez de Villaumbrosia interviews Anneka Gupta, Chief Product Officer at Rubrik, a leading cybersecurity company helping over 5,000 customers, including half of the Fortune 500, protect and manage their data against cyber threats.Under Anneka's leadership since 2021, Rubrik has undergone one of tech's most impressive product transformations, evolving from an IT backup solution into a comprehensive cybersecurity platform. This transformation has driven remarkable growth, with subscription ARR crossing $1.09 billion and the company successfully going public in 2024.In this episode, we explore Rubrik's journey through three major transformations: shifting from perpetual licenses to a SaaS-first model, expanding from a single product to a multi-product platform (with two new product lines approaching $100M in ARR), and repositioning as a cybersecurity-first company. We'll dive deep into the challenges and strategies behind managing such significant organizational change at scale.What you'll learn:How to successfully transition a business model from perpetual licenses to subscriptionStrategies for expanding from single-product to multi-product portfolioMethods for structuring teams around strategic pillars rather than just product linesApproaches to maintaining growth while managing significant organizational changeTechniques for leveraging existing customer relationships to validate new productsFrameworks for creating clear career progression during transformationKey Takeaways👇:Business Model TransformationSuccessfully managed parallel tracks of maintaining core business while building new capabilities, growing from $100M to $1.1B ARR in 4 years.Portfolio Expansion StrategyCreated specialized go-to-market teams for new product lines while leveraging existing customer base for validation and early adoption.Organizational DesignStructured teams around strategic pillars (core business, public cloud, security, AI) with a dedicated platform team for cross-functional needs.Change ManagementImplemented transparent communication and clear career frameworks while setting firm deadlines for business model transition.Customer-Centric InnovationUsed existing customer relationships to validate new product opportunities and guide portfolio expansion into cybersecurity.This episode is essential listening for any product leader managing large-scale business transformation or considering major strategic shifts in their organization.This episode is brought to you by Persona, the adaptable identity platform that helps businesses fight fraud, meet compliance requirements, and build trust. These days, it's easier than ever for fraudsters to steal voices, faces, and identities. That's where Persona comes in; helping leading companies to securely verify individuals and businesses worldwide, providing flexible building blocks to create tailored verification flows that maximize conversion while minimizing risks.Whether you work at a startup or large enterprise, you can get started for free here: https://withpersona.com/productschool Credits:Host: Carlos Gonzalez de VillaumbrosiaGuest: Anneka GuptaSocial Links:Find out more about Product School hereFollow our Podcast on TikTok hereFollow Product School on LinkedIn here

In this episode, Carlos Gonzalez de Villaumbrosia interviews Vijaye Raji, Co-founder and CEO of Statsig, the fast-growing product experimentation platform recently valued at $1.1 billion following a $100M Series C round—and just acquired by OpenAI in a landmark $1.1B all-equity deal.Before the acquisition, Vijaye spent over a decade at Facebook, where he served as VP and Head of Entertainment, launching creator tools, livestreaming features, and the earliest version of Reels. That experience inspired him to build Statsig, a platform that empowers product teams to experiment, iterate, and ship with confidence—used by leading companies like Microsoft and Notion.Now, as OpenAI’s Chief Technology Officer of Applications, Vijaye will oversee product engineering for ChatGPT and help accelerate the company’s enterprise roadmap. In this conversation, he shares the original vision behind Statsig, the tough lessons from going multi-product, and why AI-native experimentation is the future of product building.What you’ll learn:Vijaye’s journey from Facebook’s internal tools to OpenAI’s CTO of Applications.How Statsig evolved from an experimentation engine into a full decision-making stack.Why large enterprises are ditching homegrown tools for best-in-class platforms.How AI is powering everything from feature flagging to self-healing products.Key Takeaways 👇From Startup to OpenAI: Why StatSig’s platform and customer base made it one of OpenAI’s largest acquisitions yet.AI as an Operating Layer: How Vijaye is thinking about AI-native observability, prompt evaluation, and synthetic user data.Scaling with Product-Led Growth: Lessons in going enterprise while keeping experimentation at the core.Credits:Host: Carlos Gonzalez de VillaumbrosiaGuest: Vijaye RajiSocial Links:Find out more about Product School hereFollow our Podcast on TikTok hereFollow Product School on LinkedIn here

In this episode, Carlos Gonzalez de Villaumbrosia interviews Inbal Shani, Chief Product Officer at Twilio, the $18B customer engagement powerhouse trusted by over 320,000 businesses worldwide.Inbal is a trailblazer in AI-first product development. Before joining Twilio, she led the launch of GitHub Copilot—one of the most transformative AI tools for developers, reshaping how engineers write code. Now at Twilio, she’s steering a product portfolio that infuses AI into the heart of customer communications, helping companies unlock smarter, more personalized digital experiences at scale.In this conversation, Inbal shares why successful AI adoption goes far beyond adding models to features—it requires a rethinking of product strategy itself. She also dives into how Twilio measures real business impact from AI, why PMs need technical fluency more than ever, and what it takes to lead a product org into the AI-native future.What you’ll learn:How GitHub Copilot shaped Inbal’s approach to building AI-native products.Why AI adoption alone is not a product strategy—and what to focus on instead.The metrics Twilio uses to evaluate AI’s business impact.The evolving technical skill set required for PMs in the age of AI.Key Takeaways👇:Beyond the Hype: Inbal’s perspective on what truly makes AI transformative for end users.AI as Strategy, Not Feature: How to align AI capabilities with customer outcomes.PMs in the AI Era: The must-have technical skills that will define tomorrow’s product leaders.This episode is brought to you by Persona, the adaptable identity platform that helps businesses fight fraud, meet compliance requirements, and build trust. These days, it's easier than ever for fraudsters to steal voices, faces, and identities. That's where Persona comes in; helping leading companies to securely verify individuals and businesses worldwide, providing flexible building blocks to create tailored verification flows that maximize conversion while minimizing risks.Whether you work at a startup or large enterprise, you can get started for free here: https://withpersona.com/productschoolCredits:Host: Carlos Gonzalez de VillaumbrosiaGuest: Inbal Shani Social Links:Find out more about Product School hereFollow our Podcast on TikTok hereFollow Product School on LinkedIn here

In this episode, Carlos Gonzalez de Villaumbrosia interviews Noam Lovinsky, Chief Product Officer at Grammarly, the AI-native productivity platform with over 40 million daily active users and $700 million in annual revenue.Grammarly began as a trusted writing assistant, but it’s now redefining productivity at scale. With the recent acquisitions of Superhuman, the lightning-fast AI-powered email client ($825M), and Coda, the flexible doc-based workspace tool, Grammarly is evolving into a full-stack AI productivity platform. This expansion signals a bold product vision—one that positions Grammarly at the center of modern knowledge work.Noam leads Grammarly’s product organization with a focus on combining human expertise with AI agents to unlock next-level collaboration. In this episode, he unpacks the strategy behind Grammarly’s product evolution, how they’re designing extensible systems for third-party developers, and why the future of work is not just AI-assisted—but AI-augmented. He also shares how his teams balance speed and scale, and what it takes to build high-performing product orgs around a radically expanding vision.What you’ll learn:Why Grammarly is moving beyond writing to become a full AI-native productivity suite.The product rationale behind acquiring Superhuman and Coda—and what’s next.How Grammarly’s extensibility strategy is creating a powerful product moat.Noam’s approach to building teams that combine human judgment with AI agents.Key Takeaways 👇AI-Native Productivity: How Grammarly is leveraging agents and integrations to expand beyond writing into email, docs, and more.Product Strategy in Action: Noam’s thinking behind major acquisitions and platform expansion.Scaling Great Teams: Why high-impact teams need both principled thinking and flexible systems to thrive in fast-moving environments.This episode is brought to you by Persona, the adaptable identity platform that helps businesses fight fraud, meet compliance requirements, and build trust. These days, it's easier than ever for fraudsters to steal voices, faces, and identities. That's where Persona comes in; helping leading companies to securely verify individuals and businesses worldwide, providing flexible building blocks to create tailored verification flows that maximize conversion while minimizing risks.Whether you work at a startup or large enterprise, you can get started for free here: https://withpersona.com/productschoolCredits:Host: Carlos Gonzalez de VillaumbrosiaGuest: Noam LovinskySocial Links:Find out more about Product School hereFollow our Podcast on TikTok hereFollow Product School on LinkedIn here