alphalist.CTO Podcast - For CTOs and Technical Leaders Podcast Por Tobias Schlottke - alphalist CTO Podcast arte de portada

alphalist.CTO Podcast - For CTOs and Technical Leaders

alphalist.CTO Podcast - For CTOs and Technical Leaders

De: Tobias Schlottke - alphalist CTO Podcast
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This podcast features interviews of CTOs and other technical leadership figures and topics range from technology (AI, blockchain, cyber, DevOps, Web Architecture, etc.) to management (e.g. scaling, structuring teams, mentoring, technical recruiting, product etc.). Guests from leading tech companies share their best practices and knowledge. The goal is to support other CTOs on their journey through tech and engineering, inspire and allow a sneak-peek into other successful companies to understand how they think and act. Get awesome insights into the world‘s top tech companies, personalities with this podcast brought to you by Tobias Schlottke.alphalist Economía Gestión Gestión y Liderazgo Liderazgo
Episodios
  • #133 - Build the Learning Machine: AI Adoption, Flow Metrics, and the Future of the CTO Role with Eric Bowman

    #133 - Build the Learning Machine: AI Adoption, Flow Metrics, and the Future of the CTO Role with Eric Bowman
    Dec 15 2025
    Eric Bowman (CTO @ King.com, previously CTO at TomTom and VP Engineering at Zalando) returns to the alphalist podcast to unpack what “agentic engineering” really means in practice—and how to introduce it to teams without turning it into a mandate. We talk about the uncomfortable trade-offs behind “YOLO mode” tooling, why adoption should feel voluntary even when you set explicit goals (like “five AI-assisted commits” as a company-level key result), and why the real opportunity isn’t just faster coding—it’s building a learning system that relentlessly reduces time-to-learning and time-to-value. The conversation spans practical rollout patterns, DORA/value-stream thinking, Toyota’s Andon-cord mindset applied to software, multi-agent decision support with MCP, and why the CTO role may keep converging with product as AI pushes organizations to optimize for iteration speed over output volume.
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    57 m
  • #132 - Clarity Over Tooling: Velocity & Building Teams Without Drama with Loïc Houssier // CTO @ Superhuman Mail

    #132 - Clarity Over Tooling: Velocity & Building Teams Without Drama with Loïc Houssier // CTO @ Superhuman Mail
    Nov 27 2025
    What drives execution velocity—better tools or better clarity? Loïc Houssier, CTO of Superhuman Mail (post-Grammarly acquisition), argues that most velocity problems stem from unclear team missions, not inadequate tooling. From steering DocuSign's French acquisition through complex carve-out negotiations to building Superhuman's offline-first architecture with a 100-millisecond interaction rule, Loïc shares hard-won lessons about engineering metrics that actually matter (PR per engineer per week trends over absolutes), when to resist microservices (until it's genuinely painful), and why promotion frameworks determine product quality. Technical leaders will learn how vertical team alignment eliminates dependencies, why guild structures maintain consistency without blocking speed, and how European safety nets create under-appreciated opportunities for technical risk-taking.
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    54 m
  • #131 - AI Product Strategy: When to Build and When to Wait with Matthias Keller // CPO @ Kayak

    #131 - AI Product Strategy: When to Build and When to Wait with Matthias Keller // CPO @ Kayak
    Nov 13 2025
    Matthias Keller, Chief Product Officer at Kayak, shares hard-won lessons about AI product strategy and knowing when to invest in emerging platforms. With a PhD in computer engineering from ETH Zurich and 12 years at Kayak, Matthias has lived through multiple waves of AI hype—from Alexa voice skills in 2016 to today's LLM revolution. He discusses the strategic calculus of early platform bets, the painful lessons from experiments that didn't pan out, and how to recognize when technology has truly shifted. The conversation covers navigating distribution challenges when competing with giants like Google and ChatGPT, balancing first-mover advantage with execution realities, and how LLMs are democratizing AI development for engineering teams. Matthias emphasizes the critical framework: "if you build it, they may come—if you don't build it, they won't come."
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    52 m
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