Pros
- Real autonomy and ownership. Engineers are trusted to spot problems and drive solutions end-to-end. "Go Bold" isn't just a wall poster — proposing and running your own initiatives is genuinely rewarded, not blocked. - One of the more serious AI bets I've seen in an eng org. Strong, leadership-backed investment in LLM tooling and AI agents for everyday engineering. You get real room (and budget) to build with the latest models, not just slideware. - Modern stack and problems that matter. Cloud-native (GCP / Kubernetes / Terraform / Datadog), real scale, and platform/reliability work with visible business impact.
Cons
Fast, churny pace. With the AI push especially, tools and priorities shift fast, what you built a few months ago can already be obsolete. It rewards high intrinsic motivation but can be tiring.