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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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: 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

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: Chinmay Jain.