A Fundamental Shift: Change Management, Psychological Safety, and AI's Impact on Engineering Leadership with Dr. Adam Link

In this episode of "How Many CTOs Does It Take?" podcast, host Brad Hefta-Gaub is joined by Dr. Adam Link, former senior engineering manager at Coinbase, who shares his background leading global teams through highly technical transformations in fintech and crypto, including major infrastructure migrations. They discuss whether different kinds of change require different leadership approaches, emphasizing that change management is fundamentally about people. They discuss how fear makes change harder, so leaders must create psychological safety by providing "air cover" and managing messaging up and down. Adam notes that good managers must handle hard conversations like layoffs and performance issues with empathy while recognizing these outcomes aren't always personal decisions. He offers advice for engineers moving into management, including a tongue-in-cheek analogy that managers "test in production," and describes a challenging EC2-to-Kubernetes migration where success required strong technical credibility, hands-on help, and attention to team psychology. Adam and Brad compare blameless vs egoless retrospectives, discuss leaders defending engineers behind the scenes, and highlight the need for real remediation like error budgets or vendor changes. The conversation closes on AI as a fundamental industry shift, debate over the loss of hand-crafted coding vs enduring need for problem understanding, concerns about the junior-to-senior pipeline if entry roles disappear, decision fatigue from AI agents, and optimism about smaller teams producing better products with fewer bugs.

00:00 Cold Open 00:31 Podcast Intro Guest 02:24 Change Management Basics 03:49 Defining "Air Cover" 06:50 Hard People Decisions 10:19 Managers Test In Prod 13:38 Big Cloud Migration 17:34 Hands On Migration Help 21:04 Failure Friendly Culture 23:41 Blameless vs Egoless Retros Debate 28:56 Managing Up After Outages 30:19 Accountability And Error Budgets 31:38 Vendor Failures And Remediation 33:53 AI Adoption And Resistance 34:44 Craft Versus Assembly Line 37:52 AI As Mid Level Engineer 41:17 Business Value For Juniors 45:11 Pipeline And Decision Fatigue 47:15 Specs Waterfall Meets Agile 49:07 Summary And Closing Thoughts

Resources:

• How Many CTOs Pod: https://howmanyctospod.com
• Brad Hefta-Gaub: https://www.linkedin.com/in/bradheftagaub/
• Dr. Adam Link: https://www.linkedin.com/in/adamlink/

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