Product Mastery in the Age of AI and ChatGPT

This podcast covers topics that will help you to advance from good to great product managers while navigating the age of AI, Big Data, and ChatGPT

Product Mastery in the Age of AI and ChatGPT is a technology podcast hosted by Unknown Host, with 55 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

Unknown Host hosts Product Mastery in the Age of AI and ChatGPT, a technology show with 55 episodes published.

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  Episode #8

  Who Decides When the Machine Says No — The Ethics of Letting Agents Make Fraud Decisions

  Aug 2, 202613 minS2026

  In the newest episode of Product Mastery in the Age of AI and ChatGPT, I break down why "Who Decides When the Machine Says No" is a product problem before it is ever an ethics problem, including: The real job to be done in a fraud decision, and why most systems only build for a third of it A segmentation model based on motivation and behavior, not risk score, that surfaces the exact users your roadmap is currently underserving A five-step exercise you can run this week with any ChatGPT or Bard-type tool to find the gap on your own roadmap If you build, manage, or design any system that makes decisions on someone's behalf, this one is worth listening to.

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  Episode #7

  The Technical PM Playbook: Mastering the Problem Space with AI

  Jun 8, 202616 minS2026

  The best product managers are not the ones who build the most. They are the ones who can resist building for the longest. That single idea anchors the newest episode of Product Mastery in the Age of AI and ChatGPT, and it lands harder than ever in a world where a working prototype takes an afternoon. When building has never been cheaper, building the wrong thing has never been faster. The episode, The Technical PM Playbook, breaks down five techniques for using AI to understand the problem space so deeply that the right product becomes obvious: Problem laddering to find the need hiding underneath the feature The steelman and the gravestone for pressure-testing any idea Segmenting users by motivation and jobs to be done, never by demographics Mapping the journey that starts long before a user finds the product A negative space map for finding the segment every competitor ignores The most useful takeaway may be the simplest one. AI is a brilliant partner for generating hypotheses, and a terrible substitute for talking to a real person. The whole playbook is the loop between the two.

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  Episode #6

  Broken. Still building

  Jun 8, 20266 minS2026

  A practice I had maintained for over 13 years — gone overnight. I couldn't walk. Surgery. Months of physical therapy. Six months later, I'm still in rehabilitation, still working from home, still rebuilding. And yet — my work as a Staff PM at Walmart Marketplace continued. Full ownership. Full accountability. High-stakes deliverables in seller risk and data infrastructure. Even when showing up was the hardest thing I did that day. This season has been one of the most difficult of my life. It has also been one of the most clarifying. In this episode I talk about what I've learned — as a leader, and as a human.

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  Episode #5

  GenAI Tools That Actually Help Product managers Save Hours a Week

  Apr 25, 202615 minS2026

  <p>The product managers who are quietly outperforming their peers are not working harder. They have changed the question they ask AI.</p><p>Most people use ChatGPT the same way they used Google five years ago. Ask a question. Get an answer. Move on.</p><p>The PMs building better roadmaps, finding underserved user segments their competitors have missed, and walking into executive reviews with arguments that actually hold up under scrutiny — they are using it differently. They are using AI not to produce content, but to pressure-test thinking.</p><p>There is a meaningful difference between asking AI to...

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  Episode #4

  The Unlearning: What the AI Boom Forced Me to Let Go

  Mar 30, 202610 minS2026

  <p>There is a version of seniority in product management that looks like confidence. You have the answers. You know the domain. You've seen this pattern before.</p><p>And then AI shows up and the confidence starts to feel like a trap. In this episode, I will share the personal pivot I didn't see coming — and the three beliefs I had to actively unlearn after two decades building products across consulting, media, data, fintech, and AI-powered marketplace risk.</p><p>What You'll Hear</p>Why a junior team member's overnight AI prototype exposed flaws in a requirements doc that tw...

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