I keep meeting teams across the country that are facing intense pressure to shoehorn AI into every feature, often without a coherent thesis on the problem it’ll solve. But what if the smartest move in the AI gold rush is to actually slow down?

Angela Clark, VP of Digital at Patagonia, is doing exactly that. At a brand known for its fierce commitment to the planet, Angela is applying that same intentionality to their digital experience. Instead of blowing budgets on every new AI tool, she’s taking a thoughtful approach to building a personalized customer journey across an audience that spans both elite pro athletes and weekend warriors.

In this episode, Angela shares:

• How her team is designing a customer journey that caters to the buyer on a 1:1 level, including Product Detail Pages that can speak effortlessly to either extreme of their customer base
• Her playbook for managing AI-related “shiny object syndrome" and keeping your roadmap focused on the customer.
• And why Patagonia flipped the definition of “customer lifetime value” to align with their conservation-driven mission — even happily downselling you to a refurbished item instead of a newer, more expensive version.

Angela's LinkedIn: https://www.linkedin.com/in/angclrk/
Patagonia: https://www.patagonia.com/home/

00:00 Introduction
01:43 Angela's career journey
03:30: The PDP problem: Serving elite athletes & urban buyers on the same page
07:00: Building personalization through behavioral signals
09:30: Personalization: it's not a tech problem, it's a customer journey problem
00:15:30 How Angela built the foundation of digital at Patagonia
20:30: How to navigate slow-moving organizations
23:00: Redefining customer lifetime value around Patagonia's mission
26:30: AI FOMO — and why you're not actually falling behind
31:30: Conclusion

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Special Guest: Angela Clark.

How many engineers does it take to run the ecommerce site for a retail company that does over a billion dollars in revenue per year?

Well, if you’re Rainbow Shops, the answer is just 2.

Most ecommerce teams assume scale requires more engineers, more tools, more complexity. Chief Digital Officer David Cost has built something many people in ecommerce would say isn't possible — a lean, fast-moving digital operation that runs on vendor partnerships instead of a massive internal team. Two engineers, hundreds of programmers' worth of output, and none of the overhead that comes with scaling the traditional way.

In this episode, David shares:

• A detailed, under-the-hood look at the specific vendors they use to stay so lean
• His playbook for using strategic partnerships with vendors as an external dev team
• How being a testbed for new tech gives them a competitive edge
• And why their choice of ecommerce platform was vital in enabling Rainbow’s digital strategy

David's LinkedIn: https://www.linkedin.com/in/davidcost/
Rainbow Shops: https://www.linkedin.com/company/rainbow-apparel-co/

00:00 Introduction
00:42 David’s product journey
02:36 How Rainbow runs with only two engineers
03:07 Rainbow's decision to migrate from  Salesforce Commerce Cloud to Shopify
07:14 How Rainbow uses AI to support a lean team
11:34 Rainbow's partnership with Lica for AI-generated product images
17:25 The future of personalization in ecommerce
23:01 Shop Pay and Rainbow's checkout features
26:15 Conclusion

Lica: https://lica.world/
Fuego: https://fuego.io/

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Special Guest: David Cost.

40,000 people a year die from traffic accidents in the US. Our guest today is Chinmay Jain, Director of Product Management on Waymo's Driving Behavior team, who is working to make that number 90% smaller.

In this episode, Chinmay shares:

• How he thought through leaving YouTube at its peak to join a moonshot company that could have civilization-level impact
• Waymo’s actual AI eval process, using massive simulations based on millions of real-world driving miles to maximize edge cases, ultimately turning trust into their real product
• And the misleading, but common, metrics Chinmay and his team learned to spot that could have seriously derailed Waymo’s progress

Chinmay's LinkedIn: https://www.linkedin.com/in/chinmayjain/
Waymo: https://waymo.com/

00:00 Introduction
01:40 Chinmay’s decision to leave YouTube for Waymo
04:12 How does Waymo test its AI in the physical world?
06:09 Waymo’s layered evaluation system
09:53 Simulations and ML gains at Waymo
16:48 Waymo’s metrics for safety
21:33 What driving choices make training AI drivers the hardest?
24:00 Conclusion

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LogRocket's Galileo AI watches user sessions for you and surfaces the technical and usability issues holding back your web and mobile apps. Understand where your users are struggling by trying it for free at LogRocket.com.

Special Guest: Chinmay Jain.

Most financial products are optimized for transactions, not human emotion. For many people, this transforms an already fraught topic into pure anxiety.

Our guest today is building banking for what she calls the Cortisol UI.

Melissa Douros has spent over 26 years in financial services, starting in debt collection and now serving as the Chief Product Officer at Green Dot. Early on, she learned firsthand that shame is a terrible retention mechanism. That lesson now shapes how she builds financial products for millions of users — for whom the time spent simply navigating their finances can be the most stressful of the day.

In this episode, Melissa shares:

• How finserv companies can design for the “Cortisol UI“ by building trust and experiences that reduce anxiety before the transaction
• An experiment she ran for Discover’s 5% cashback program where test users collapsed under decision paralysis — proving that more choice can actually increase financial stress
• How she flipped Great Wolf Lodge’s booking model from 70% call center to 90% digital while enhancing the human experience
• And how Green Dot is navigating AI and agentic commerce without breaking the one thing banks can’t afford to lose: trust

Melissa's: https://www.linkedin.com/in/melissadouros/
Green Dot Corporation: https://www.greendot.com/

LaunchPod - Nan Yu: https://www.youtube.com/watch?v=27rGB-6XQJg
LaunchPod - Ben McAllister: https://www.youtube.com/watch?v=P-6Cs3RJeZw

00:00 Introduction
01:00 Melissa's finserv background and how she landed in product
05:10 How Green Dot builds trust as a financial services product
07:29 Building for the "Cortisol UI" to lessen user stress, especially in finance
9:55 Quietly fixing customer issues while not inundanting them with feature releases
14:35 Green Dot moving compliance from the backend to a key part of the product team
16:20 Launching AI features in a high-risk industry
18:36 Decision paralysis and Discover's failed attempt at a 5% cashback reward program
24:57 How Melissa digitized Great Wolf Lodge's customer experience
30:51 Conclusion

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LogRocket's Galileo AI watches user sessions for you and surfaces the technical and usability issues holding back your web and mobile apps. Understand where your users are struggling by trying it for free at LogRocket.com.

Special Guest: Melissa Douros.

How do you redesign the most visited e-commerce webpage in the world? Rahul Chaudhari helped reshape the Amazon homepage during his years as a product leader there, before becoming VP of Product and Technology at Kohl's.

In this episode, Rahul shares:

• Amazon’s “customer backwards” approach - and how he used it to unlock half a billion dollars of value on the Amazon homepage
• The secret to product adoption: leverage existing customer habits to unlock new opportunities
• And how Amazon and Google raised the bar for digital experiences so high that now every other product pays the price

Rahul's LinkedIn: https://www.linkedin.com/in/rahul-chaudhari/

00:00 Intro: Rahul's journey from marketing to product
03:08 Why “mid” digital experiences no longer work
07:35 Rebuilding the Amazon homepage “hero” to be customer-backwards
12:48 Experimentation + adoption metrics: measuring what actually matters
14:20 Adoption > clicks: Defining the right success metrics
18:41 AI and the future of retail: Rethink the business model, not the tools
21:50 Agentic shopping: What happens when ChatGPT becomes the homepage?
23:30 From keyword search to intent-based shopping
25:57 AI needs containers, not just models
30:29 Will AI level the playing field for small retailers?
33:16 Conclusion

We have a new YouTube page! Watch full episodes of our interviews with PM leaders and subscribe!

LogRocket's Galileo AI watches user sessions for you and surfaces the technical and usability issues holding back your web and mobile apps. Understand where your users are struggling by trying it for free at LogRocket.com.

Special Guest: Rahul Chaudhari.

In this episode, we’re joined by Maryam Ashoori, VP of Product and Engineering at IBM’s Watsonx platform. With a background that includes 2 master's degrees in AI, a PhD in Systems Design Engineering, and named on over 30 patents at IBM, she’s been on the bleeding edge for over a decade. Currently leading the charge on Agentic AI and AI Governance at IBM, Maryam is a bridge between the theoretical frontier of AI and the messy reality of enterprise deployment.

In this episode, Maryam:

• Tells why AI has been stuck in pilot purgatory for longer than expected, and what you need to do today for a successful enterprise deployment
• Calls shenanigans on the “biggest, best model” crowd, and why often a smaller, more focused tool is the right choice
• Explains how to build an agnostic architecture that can handle the realities of an AI world where models advance faster than anybody can keep up

LinkedIn: https://www.linkedin.com/in/mashoori/
IBM: https://www.ibm.com/us-en

Reinventing SaaS: Zuora's AI Transformation | Karthik Chakkarapani and Shakir Karim (Zuora): https://www.youtube.com/watch?v=gHVxnLikMpQ
Linear’s Secret to Building Powerful AI Products | Nan Yu, Head of Product (Linear): https://www.youtube.com/watch?v=27rGB-6XQJg

00:00 Intro
02:18 From ChatGPT hype to enterprise reality: use cases, ROI, and the rise of agents
06:11 Security, accountability & governance: who’s responsible when agents go wrong?
10:37 Risk-based rollout: use-case scoping, Risk Atlas, and guardrails like PII detection
17:10 Observability for agentic workflows
18:21 Why compute optimization matters
22:58 Designing for model agility: abstraction layers, routing, and picking the right model
27:23 Conclusion

We have a new YouTube page! Watch full episodes of our interviews with PM leaders and subscribe!

LogRocket's Galileo AI watches user sessions for you and surfaces the technical and usability issues holding back your web and mobile apps. Understand where your users are struggling by trying it for free at LogRocket.com.

Special Guest: Maryam Ashoori.

In this episode, we’re joined by Deepika Manglani, VP of Product and Program Management at the LA Times. Deepika’s career in media spans over 15 years, culminating in her current role, where she’s bringing the 140-year-old institution into the future.

In this episode, Deepika shares:

• How her team is using AI to preserve a unique trove of historical data, over 12 million pages of news archives from as far back as the 1800s
• What this digital archive and maturation of AI enables for future storytelling, media innovation, and news personalization
• Why combining product and program management was critical to navigating massive transformation at the LA Times through a period of heavy M&A activity

LinkedIn: https://www.linkedin.com/in/deepikamanglani/
LA Times: https://www.latimes.com/

00:00 Intro
00:15 Deepika's career journey in media and product leadership
01:25 Building from scratch at LA Times
05:06 Digitizing historical archives
08:40 Challenges and innovations in AI and OCR
19:54 Future prospects and personalization in news
24:33 Conclusion

We have a new YouTube page! Watch full episodes of our interviews with PM leaders and subscribe!

LogRocket's Galileo AI watches user sessions for you and surfaces the technical and usability issues holding back your web and mobile apps. Understand where your users are struggling by trying it for free at LogRocket.com.

Special Guest: Deepika Manglani.

In this episode, we’re joined by Ben McAllister, the Chief Product and Technology Officer at CrossFit, and one of the most thoughtful product leaders I’ve had the pleasure of speaking with.

Ben’s path is anything but linear: with a degree in physics, a short stint in consulting, and time spent as a creative director at a design agency before moving into senior product roles at Under Armour. Now he’s shaping one of the world’s most iconic fitness ecosystems.

In this episode, Ben shares:

• Why attention is the ultimate currency in product design, and how to design for the “spotlight” versus the periphery.
• The “Infovore” Advantage: Why the best product leaders borrow ideas from outside the tech world; and
• How to build a cohesive product strategy for a complex, decentralized network like CrossFit’s global community of affiliates and athletes.

LinkedIn: https://www.linkedin.com/in/mcallister/
X: https://x.com/benmcallister?lang=en
CrossFit: https://www.crossfit.com/

The Age of the Infovore: Succeeding in the Information Economy (https://tylercowen.com/dd-product/the-age-of-the-infovore-succeeding-in-the-information-economy/)
On the Origin of Stories (https://www.hup.harvard.edu/books/9780674057111)

00:00: Introduction
00:41: Ben's non-linear career path: From physicist to product leader
03:23: The "infovore" mindset in product management
06:00: Storytelling, juxtaposition, and the science of learning
08:48: Designing product for attention
12:00: Why product leaders shouldn't ignore marketing
15:10: CrossFit's origins as an internet-native brand
19:44: What is the CrossFit Open?
24:37: Conclusion

We have a new YouTube page! Watch full episodes of our interviews with PM leaders and subscribe!

LogRocket's Galileo AI watches user sessions for you and surfaces the technical and usability issues holding back your web and mobile apps. Understand where your users are struggling by trying it for free at LogRocket.com.