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.
The 7 CS Capabilities Every Team Must Own
Jeff and Jay get honest about where the Chief Customer Officer podcast lost its spark—and what reignited it: a seven-capability framework for post-sale teams that cuts through the roles-and-titles noise. Support, onboarding, adoption, engagement, feedback, renewal, expansion. The fundamentals haven't changed. But how you build for them—and where AI fits in—has everything to do with what kind of CS org you'll have in two years.
Building Your Company Brain
Jeff is back from paternity leave and building a company brain. Jay challenges him to think bigger: before you can run agents, you need a context layer. They dig into data architecture, call transcript intelligence, and what it actually takes to build enterprise-grade AI for customer success.
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Personal AI Agents, Forward-Deployed Engineers, and the Skills That Matter Now
Jay and Jeff dig into two very different but connected stories: Jeff's homegrown AI "chief operating officer" for his household, and the $10B forward-deployed engineer boom reshaping enterprise services. Along the way: why task automation isn't the same as agents, and the skill that will matter most in the age of AI.
The Shared Brain, Forward Deployed Engineers & AI at Home
Jay and Jeff go deep on what's actually blocking enterprise AI adoption—and it's not the technology. They cover building a shared organizational brain from call transcripts, why Zapier banned Slack DMs, the $7.5B bet on forward-deployed engineers, and personal AI coaches that are already changing daily habits.
From Vibe Coding to Enterprise AI
Jeff and Jay get into the gap between vibe coding your own AI tools and building something your whole team can rely on. From PRD skills to master customer data files to ClickUp's "foundry" model — this episode is about what it actually takes to move from single-player AI to enterprise AI, and why slowing down now might be the fastest path forward.
The Real AI Work: Agent Command Centers, AI Slop, and Building Systems That Save Time
Jay and Jeff are back with a live build episode — two operators comparing notes on what's actually working with AI. From Jay's Agent Command Center at Balboa to Jeff's Linear task ingestion system and a viral VS Code ad hack, this one's packed with real examples. Plus: why the moat in AI is attention, not technology.