< Being A Better Manager in the AI Era

The job of a manager used to be, in large part, coordination. Knowing what everyone is working on, relaying it upward, making sure the pieces fit. If coordination was most of your job, AI is taking it.

I had two experiences that made me a much better manager.

The first turns out to be rarer and more valuable than I realized at the time. I had two great managers early in my career. One was a classic in the trenches lead — deeply in the detail, always available, always knew the answer. The other was almost the opposite. She set direction, cleared the path, and then got out of the way. One taught me to be useful in the detail, the other to build something that runs without me.

The second was that during my time at Culture Amp, I ended up leading the Sales and Marketing organization. I'm an engineer, so that's not exactly a natural transition. But it turned out to be the most formative management experience I've had. When you can't do the job yourself, you can't fall back on being the expert in the room. You have to focus on the system: are the right people in the right roles, do they have what they need, is the feedback loop working? You stop managing the work and start managing the environment the work happens in[1].

Both experiences pointed in the same direction: the best management I've seen, and the best management I've done, was about creating the right environment.

This isn't new. But AI is changing and broadening the implications. AI is forcing every manager into that reality. ICs are now coordinating their own agents, shipping work in parallel, managing their own loops. When output scales to 100 PRs a day, you can't review all the work. You shouldn't be in every loop.

So what does the manager do? You design the system and nudge it toward the right shape: the rubrics, the defaults, what gets flagged and what doesn't. When your people systems are a codebase, the manager's job is reviewing changes to the system rather than the product. Managing that Marketing team as an engineer taught me what it feels like when you can't be the expert[2]. AI is doing the same thing to every manager now (and perhaps every IC, to a different extent).

None of this makes management easier. If anything, it raises the bar. That second manager I had, the one who set direction and got out of the way -- she had to be far more deliberate about the environment she created because she wasn't in the detail. It was always the harder job.

Also read: People Systems Are the Next Codebase and Early observations from Interviews with Engineering Teams Adopting AI.

Discuss and share via the meta page . Filed under AI, People, and 100PR.

Footnotes

  1. If you can get an experience like this — leading a function outside your expertise — I'd highly recommend it. I wish I'd appreciated it more at the time. ↩

  2. Turns out there is a lot of engineering in a modern marketing stack, but that's definitely a digression from my core point. ↩