I indexed 18,385 open AI jobs. Only 43.5% of them are engineering roles.

I've been building a board that pulls AI jobs straight from company career pages rather than reposting aggregator listings, and the category split genuinely surprised me.

Out of 18,385 live roles today: Engineering 43.5%, Sales & GTM 17.8%, Operations 11.6%, Research 5.6%, Marketing 4.7%, Product 3.6%, Policy & Safety 1.0%, and Other 12.3%.

Being upfront about that last bucket, because it's the honest caveat: "Other" is roles my classifier couldn't confidently label, and spot-checking it, it does contain real engineering titles. So "56% is not engineering" would be overclaiming. What I can defend is that 44.3% of the board sits in a named non-engineering function, which is still a lot more than the market talks about. Sales & GTM on its own is bigger than Research, Marketing and Product combined.

That matters because almost every AI job board I've used is engineering-only. A large share of people trying to get into AI are searching on boards that structurally ignore their function.

The other number that bothered me: only 19.3% of these roles publish a salary.

Two things I'd like other people's read on. First, if you've hired at an AI company recently, does that split match what you saw internally, or is my sourcing skewed? Second, if you're job hunting, does a missing salary actually stop you applying, or do you apply anyway and ask later?

Happy to run any cut of the data people are curious about. I have the raw numbers on every role, company, stage and location.