
Show Notes
Join Melissa Perri as she sits down with Matt Watson, founder and CEO of Full Scale, to delve into the evolving world of product management and software development. In this insightful conversation, Matt shares his journey from developer to CEO, offering lessons on how to blend engineering expertise with product thinking. Discover how Matt encourages a culture of ownership and courage among teams, and how AI is reshaping the roles of engineers and product managers alike. If you're interested in enhancing your product management skills and understanding the importance of clarity, communication, and collaboration in tech teams, this episode is a must-listen. Matt’s insights will resonate with anyone looking to break out of the build trap and focus on delivering real value to customers. Tune in to gain practical strategies for fostering innovation and empowering your team to think beyond the code.
You’ll hear us talk about: 10:15 - Encouraging Product Thinking in Engineers Matt discusses the importance of engineers understanding the product's broader impact, not just focusing on the technical aspects. He emphasizes the need for engineers to see themselves as part of the product team, contributing to the overall vision and strategy. 22:40 - The Role of Clarity and Communication In this segment, Matt highlights the significance of maintaining clarity in software development. He shares how regular communication and one-on-ones are essential for coaching and ensuring everyone understands the vision and scope of projects. 35:55 - The Impact of AI on Engineering Roles Matt explores how AI is transforming traditional engineering roles, pushing engineers to adopt more product thinking. He underscores the growing importance of emotional intelligence and teamwork as AI takes on more technical tasks.
Episode resources: Matt on LinkedIn: https://www.linkedin.com/in/mattwatsonkc/ Product Driven: https://productdriven.com/ Full Scale: https://fullscale.io/about-us/ Check out Monday dev: http://monday.com/dev Check our courses: https://productinstitute.com/
Timestamps: 00:00 Matt's career journey 08:07 Giving engineers context and autonomy 15:51 Building psychological safety for courage 21:26 Creating ownership through one-on-ones 26:31 Redefining roles in the age of AI 30:16 Shifting from order takers to product owners
More from Product Thinking
In this solo episode of the Product Thinking Podcast, Melissa Perri shares the results of the State of AI in Product 2026 survey of 309 product leaders, co-published with Product Circle. The tools are everywhere, but the work has not changed. Melissa walks through five findings and what they mean for you. Adoption is nearly universal, yet only a third of leaders say AI is strengthening their operating model. Melissa explains why the bottleneck is still upstream in discovery and decisions, and why AI acts as a multiplier rather than an equalizer, helping mature organizations and exposing the cracks in everyone else. She unpacks the dataset's largest gap, between executives who think an AI strategy exists and the PMs who never see it reach their work, and what leaders and PMs should do about it. Melissa also shares some news: the podcast is taking a pause after this episode, though she is not going far.
What does it actually take for experimentation to stick inside a product organization? In this compilation episode of the Product Thinking Podcast, Melissa Perri brings together three perspectives on the leadership behaviors, portfolio decisions, and iteration loops that separate real experimentation from theater.
Continuous discovery sounds simple and breaks down constantly in practice. In this compilation episode of the Product Thinking Podcast, Melissa Perri brings together three perspectives on what it actually takes to build the habit and why slowing down on discovery is still the fastest path to shipping the right thing. Teresa Torres, author of Continuous Discovery Habits, breaks down the structure underneath every method: outcome, opportunity, and solution. Teams doing this right never have to stop and replan. Christina Wodtke, lecturer at Stanford and formerly at Zynga, follows with the weekly playtesting rhythm she now teaches. Julia Austin, former senior lecturer at Harvard Business School, closes the episode by pushing back on the temptation to skip discovery in the age of AI. Her 80/20 rule: spend most of your time on foundation work, because the false security AI offers cannot replace real conversations with real customers.
What does it mean for a product to actually be “done”? Not code in production, but customers buying, using, and loving it. In this compilation episode of the Product Thinking Podcast, Melissa Perri brings together three product leaders to explore the systems that make whole product launches consistent. Trisha Price, then Chief Product Officer at Pendo, argues for shifting the team's definition of done from "code complete" to "whole product complete." She reframes product marketing as a strategic voice in discovery, not a translation layer at launch, and shares how cadences keep the work moving. Kate Towsey, an independent research ops advisor with experience at BBC and Atlassian, frames organizational knowledge as water that needs a dam to stop it leaking away. Jessica Soroky, then Senior Director of Product Operations at Pendo, closes with what whole product launch and cadences look like in practice.
AI is moving quickly from experimentation into real products, but in regulated and high-trust environments the stakes are much higher. In this compilation episode of the Product Thinking Podcast, host Melissa Perri brings together perspectives from multiple product leaders to explore what it really takes to ship AI responsibly when accuracy, trust, and risk management matter. You will hear from Maryam Ashoori, who works at IBM and was involved in building Watsonx. She explains what AI agents actually are, why large language models hallucinate, and how guardrails and human oversight help teams manage calculated risk as systems become more autonomous. The episode also features Magda Armbruster, Head of Product at Natural Cycles, and Jessica Hall, Chief Product Officer at Just Eat Takeaway. Together they share how embedding regulation, prioritizing data privacy, and being honest about cost, governance, and capability building can turn compliance and trust into enablers rather than blockers for AI-driven products.