The Chief Customer Officer Podcast.
Jeff Breunsbach & Jay Nathan talk to CS leaders who are actually building — not evaluating vendors, building. 4.9/5 on Apple Podcasts.
Your Company Doesn't Know Your Customers
Jeff is back from Junction's Portugal offsite with a reminder: most of your company knows far less about your customers than you think. Jay and Jeff dig into pushing customer insight into the business, why AI-built internal tools are now table stakes, and what Salesforce's reported $2B Listen Labs deal says about AI talking to customers.
AI Leverage, the 24/7 Mindset, and the Value Era w/ Ziv Peled
Ziv Peled, Chief Customer Officer and Chief AI Officer at AppsFlyer, joins Jay to unpack how a $500M+ ARR company moved everyone to Claude, built its own AI stack, and now measures every role by "AI leverage." Plus: why Salesforce should resell Claude, and why FDE really means net dollar retention.
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Agent Infrastructure, Tool FOMO & Writing Without the Slop
Jay and Jeff dig into why Harvey went from SaaS to AI implementation, why agent infrastructure has to be a company-wide investment, and why the personal-agent wave is a platform war, not an app war. Then they get honest about AI writing: 78% of readers stop reading when they suspect AI wrote it.
Building Your Own UI, Named Agents, and a Bank's AI Playbook
Jeff built seven screens of a customer success platform from one throwaway prompt, then sat in disbelief for three minutes. Jay argues he didn't build a platform at all — he built a UI, and that distinction may reshape who owns the CRM layer.
Stop Bending Your Business to Your Software
For thirty years we bought software off the shelf and reshaped our processes to fit it. Jay and Jeff argue that era is ending: at Junction, a salesperson and an ops leader each shipped their own internal pricing app, and Shopify's River agent now authors one in eight pull requests merged into the main monorepo.
The Segmentation Grid Behind Every CS Strategy
Jay walks through the customer segmentation workshop he ran this week — a deliberately simple grid of lifecycle stage, engagement model, and health status that gets leaders to say what should happen in the business before anyone argues about tools. Plus: what "harness lock-in" means for your AI stack, and why the customer quote you read never lands like the one you watch.