People Management for CTOs: Build a Leadership System
People Management for CTOs: Build a Leadership System
Proven strategies for growing engineering teams while maintaining quality, velocity, and culture.
12 articles, frameworks, and resources
People Management for CTOs: Build a Leadership System
In tech and media, annual turnover runs at 12.9% versus 10.6% across industries. And 79% of people who quit say they left because of a lack of leadership, not a lack of perks.
Team Topology Designer guide: team topologies designer tool for 10 to 100 engineers
AI is shifting from pilots to an operational layer that changes org design and core architecture, while transparency and security obligations harden in parallel.
In 2024 and 2025, I watched teams cut sprint scope by 30 percent, then ship slower. They added copilots, generated more code, and opened more pull requests. Review queues grew. Incidents rose.
The last 48 hours show a clear pivot: AI adoption is moving from experimentation to operationalization under constraints—workforce disruption, reliability/uncertainty management, and...
Veloxa just closed a $15M Series A. The lead investor's condition: triple the engineering team from 8 to 24 in six months. Navigate the hiring pace, org structure, and management layer decisions that will define your culture.
Engineering orgs are reallocating spend and reshaping roles around AI-assisted delivery, while simultaneously discovering that legacy quality metrics (like passing automated tests) can be gamed or...
TOGAF and ArchiMate for CTOs: Use Them as Decision Tools, Not Paperwork
I've hired people with a wall of badges who couldn't ship. I've also hired people with zero certs who quietly carried entire systems through Black Friday.
Most CTOs I meet can describe their calendar, but not their job. That's not a knock-it's just what happens when the role is a moving target.
The CTO role is being redefined around AI: companies are hiring CTOs with generative AI pedigrees, expanding CTO scope into product and business operations, and contending with intense AI talent churn that can reshape execution risk and long-term strategy.
Have experience to share? We welcome contributions from technical leaders.
Learn how to contribute