The Rebels Of SaaS
Are you a rebel? This is a podcast for you! Follow the stories of business unicorns that don't say yes, but instead move the bar to new heights!
- Indexed episodes, last 90 days
- 3
- Latest publication
- Sep 23, 2026
- Audience
- Checking…
- Earliest in this view
- Aug 7, 2026
Latest episodes
Kat Breeggemann - A Rebel Story of Ruthless Optimism (opens the original)
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In this episode, Dannah sits down with Kat Breeggemann, a digital customer success consultant who has been building scaled CS programs for nearly eight years. Kat shares how she stumbled into CS from a journalism degree and why she starts every engagement with research on existing data and customer touchpoints before building anything. They dig into where digital CS ends and customer marketing begins, why digital CS should serve every customer segment (including enterprise), and how to add AI on
Hijacking the AI Hype: Why Your "Automated" CS Strategy is a Trap (opens the original)
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Slapping an "AI" label on your tech stack won't magically fix your customer success strategy. In this episode, Tim Van Lew joins the studio to expose the "efficiency illusion" and explain why SaaS leaders need strict governance and KPIs before buying into the AI hype. We dive deep into the dangers of "agent washing," the risks of DIY enterprise solutions, and why you desperately need a human orchestrator to map new technology to actual customer outcomes. Tune in to learn how to cut through the b
Stop Automating the Poo: LeeRon Yahalomi on AI, CS Strategy, and Getting Out of Your Own Way (opens the original)
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AI isn't a future trend — it's already reshaping the job, and the leaders who thrive will be the ones controlling how it gets used, not reacting to it. In this episode, Dannah sits down with LeeRon Yahalomi, VP of Customer Success at Docket, who's spent the last decade building inside AI-native companies and has some hard-won lessons to share. LeeRon breaks down why treating AI like a new coworker — one that needs context, clean processes, and clear ownership — separates teams that scale from te
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