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 Villaumbrosia
Guest: Robby Stein

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• Find out more about Product School 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 Villaumbrosia
Guest: Chris Geoghegan

Social Links:

• Follow our Podcast on Tik Tok here
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• Join Product School's free events here
• Find out more about Product School 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 Villaumbrosia
Guest: Tim Simmons

Social Links:

• Follow our Podcast on Tik Tok here
• Follow Product School on LinkedIn here
• Join Product School's free events here
• Find out more about Product School here