What 2,698 open jobs at 10 AI companies say about where the labs are hiring

A job board is a company's plan written as headcount. On 20 October 2026 I pulled every open posting from the public career boards of 10 AI companies: 2,698 jobs after deduplicating by URL. Then I asked three questions:

Everything below is computed from that one snapshot. No surveys, no estimates.

Disclosure: I built the data tool used here. Details at the end.

I did not classify job titles myself. I used each company's own department label from its Greenhouse or Ashby board and counted a job as go-to-market (GTM) if that label is Sales, Go To Market/GTM, Revenue, Revenue Operations, Marketing, Customer Success, Customer Experience, Business Development, Partnerships, Growth, Solutions or Solutions Architect. Every one of the 2,698 jobs had a department label.

These shares are a lower bound. I did not count "Applied AI" (120 jobs at OpenAI, 60 at Anthropic) or OpenAI's "Forward Deployed Engineering" (31 jobs), even though many of those roles work with customers. If you count them as GTM, the all-company share rises from 30.1% to 38.0% (1,024 of 2,698).

I counted a job as remote when the employer's remote flag was set or "remote" appeared in the location.

ElevenLabs alone lists 136 remote openings, more than OpenAI (55) and Anthropic (64) combined (119), from a board about a tenth of their combined size (157 vs. 1,475 jobs). Scale AI lists none. The chart shows six of the companies; the table covers all ten.

For pay I kept job titles containing "engineer" or "developer", outside the GTM departments above, and excluded titles with sales, solutions, support, customer, forward-deployed, deployment, field, partner, recruiting, hardware, data center, intern, account, legal, manager, director, head of or lead. Then I took postings with a USD yearly range (min and max) and computed medians.

What is missing: Anthropic, Scale AI, Cursor and Together AI (all on Greenhouse here) returned no structured salary field for any engineering posting, and ElevenLabs and Lovable had no USD yearly band on an engineering title. Some of these companies may state pay inside the job description text. I did not parse free text, so I make no claim about their pay.

I built the Career Site Jobs API used here. It takes a list of companies, detects their applicant tracking system (Greenhouse, Lever, Ashby, Workday) and returns every open job as JSON: title, department, location, remote flag, salary min/max/currency/period, posted date and URL. That is the data behind every table above, aggregated with a short Python script.

It costs $2 per 1,000 jobs, down to $1.50 on higher Apify plans. This snapshot of 2,698 jobs comes to about $5.40.

If you rerun the same pull later, the department labels make the GTM comparison easy to repeat: same companies, same labels, new date.