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What does it take to build a company worth Google's $32 billion acquisition? Solal shares the hard-won lessons from scaling technical teams during one of the fastest-growing security companies in history.

Key leadership insights from the episode:

• CTO Office Evolution: How Wiz split technical leadership into 3-4 specialized tracks focused on domain expertise rather than geography

Technical Context (18% of episode):

Chapters:

Here's the thing about agile transformations: they almost never work the way they're supposed to. Teams end up more siloed than before, chasing tickets instead of solving actual problems. Klaus Breyer has seen this pattern everywhere, and he's figured out some ways to break it.

Klaus runs product and technology at Edding—yeah, the pen company—but his background is anything but traditional. He learned team coordination by managing 40-person World of Warcraft raids, ran a few startups, and now applies those lessons to building software at a 150-year-old German manufacturer. It's an unusual path that gives him a different perspective on how teams actually work together.

We talked about Shape Up methodology, but honestly, the more interesting stuff was about changing how teams think about their work. Klaus has some pretty specific ideas about when teams are ready to ditch ticket systems entirely, how to spot the early warning signs of assembly-line thinking, and why most agile implementations fail at the mindset level.

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Also, Edding is doing some wild stuff with technology—like building a driver license verification system using invisible conductive ink that smartphones can read. Who knew pen companies were this technical?

What we covered:

[00:51] Klaus's background and how Edding ended up doing serious tech

Quotes worth remembering:

"Almost all teams out there have silos. You can have silos in the smallest teams. You can have silos with three or four people if they are thinking about the work in the wrong way." [11:15]

"One of the biggest signs is when you need to do tradeoffs because the time is running out. And then if you do tradeoffs because the time is running out, most of the times the tradeoffs are then done or led by the engineers because we don't have time to complete this feature." [13:22]

What does 25 years in tech teach you? Kelsey Hightower, a self-taught engineer who rose to become a Distinguished Engineer at Google and a key figure in the Kubernetes community, sits down with Tobi to share unfiltered insights from his extensive career and his recent decision to retire at 42.

This conversation goes beyond the hype, focusing on the timeless principles of technical leadership, system maintenance, and career strategy. Kelsey breaks down the reality of infrastructure management, the hidden costs of complexity, and why the most important engineering skill is understanding the business.

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Technical insights for CTOs and engineering leaders:

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The AI transformation challenge isn't just technical—it's organizational. Peter Gostev, Head of AI at Moonpig, discusses building practical AI capabilities in a 600-person company while navigating the gap between AI hype and implementation reality.

From managing adoption across 150 software engineers to partnering with non-technical teams, Peter shares insights on driving meaningful AI transformation that goes beyond superficial tool usage. This conversation explores the contrast between industry claims of widespread AI adoption and the nuanced reality of implementing AI at scale.

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QUOTES:

• ""I think there's never really been more exciting time in my career versus now and every time we can we can just do more and more and more, which is just such a cool position to be in."" - Peter Gostev [00:06:39]

• ""I think people really underestimating where we are and or how much more there is to go… we are really just at the beginning of these investments starting to come through."" - Peter Gostev [00:07:01]

• ""On any given project, most of the work is actually non-AI work… most of it is integrations, scaffolding, deployment, UI, all of the things like that. And then the AI part of it is normally maybe 10, 20% of the actual work."" - Peter Gostev [00:28:01]

Two veteran CTOs tear down today's tech hype with brutal honesty and hard-won experience. Raz Schweiger-Shuty shares his controversial approach to technical leadership at auxmoney, where he stopped a microservices rewrite and focused on business outcomes over engineering trends.

From his early days as a QA engineer to running 80-person engineering organizations, Raz demonstrates why sometimes the best technical decision is the boring one that actually works. This conversation offers a masterclass in pragmatic technical leadership for an age obsessed with the latest frameworks and architectures.

Key insights for technical leaders:

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Technical Deep Dives:

"Our model factory runs thousands of experiments before a single production model is trained. It’s an empirical science—every component, from data ingestion to evals, is versioned and traceable." – Eiso Kant

Chapters:

The convergence of AI and IoT is reshaping how technical leaders approach industrial systems architecture. Bernd Groß, CEO and co-founder of Cumulocity, shares insights from building Germany's leading IoT platform—from its origins as a Nokia spin-off to becoming a critical infrastructure for companies managing tens of thousands of connected industrial assets.

This conversation explores the unique engineering challenges of industrial IoT, where systems must process 50 terabytes of monthly data from wind turbines while maintaining real-time control capabilities. Bernd discusses the evolution from monolithic architectures to microservices, the complexity of supporting hundreds of industrial protocols, and the emerging "AI-IoT" paradigm.

Key technical insights:

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Technical infrastructure enables the modern energy transition. Barbara Wittenberg, CTO at 1KOMMA5°, reveals the engineering challenges behind connecting and optimizing 40,000+ household energy assets while building a unified tech platform after acquiring 80+ companies across 7 countries.

Tech leaders will find valuable parallels to their own challenges as Barbara discusses how her team modernized legacy systems, managed complex integrations, and deployed advanced optimization algorithms that must respond in milliseconds to prevent grid failures.

Key technical insights include:

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In this episode, Tobi chats with Adam Schuck, Senior Engineering Director at Canva, a company that has scaled to over 5,000 employees, 2,000+ engineers, and 230 million MAUs while remaining profitable. Adam shares his journey through startups (including acquisitions by Twitter and Canva) and large tech companies like Google, leading to his current role managing 220 engineers at Canva.

They dive deep into the challenges and strategies behind Canva's hypergrowth, including:

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In this episode, Tobi talks with Georg Zoeller, Co-Founder of the Centre for AI Leadership and mercenaries.ai, about the turbulent landscape of AI. Georg, with his background at Meta and deep expertise in AI strategy, cuts through the hype surrounding AI's capabilities and economic impact.

They discuss the 'singularity' we're already in, driven by rapid, open-source AI development, and why this makes future predictions impossible. Georg argues that software engineering is being commoditized due to the vast amount of training data available (Stack Overflow, GitHub), making AI adept at code generation but raising profound security concerns like prompt injection.

Explore:

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