For AI tooling vendors
Your next customers are hiring AI engineers right now
When a company posts its first AI roles, a team is being staffed and a tool stack is about to be chosen. We turn public job postings into a ranked monthly list of those companies — with the models and frameworks they name — so your sales team reaches them while the budget is still warm.
8,815 companies · 43,675 active AI roles · 18 countries · refreshed monthly
Cold lists go stale before your SDRs open them
How you find accounts now
- Intent data says a company is “researching AI” — vague, and so is everyone else's.
- Scraped lists are months old; by the time a company appears, the budget is spent.
- Your SDRs spray the same enterprise names every competitor already emails.
AI Adoption Signals
- A company has 7 open LLM-engineering roles and names your competitor in 4 of them.
- You see it the month they staff up — the buying window, not the aftermath.
- Filtered to companies that fit your tool, including the long tail no one else lists.
This is the raw signal — live
The most active AI hirers in the corpus right now. Your file is filtered to companies that fit your tool — including smaller teams just starting out — with the models each one names and month-over-month velocity.
| Company | Active AI roles | Countries |
|---|---|---|
| Deloitte | 4,185 | 12 |
| Accenture | 1,905 | 15 |
| PwC | 1,248 | 12 |
| Amazon.com | 1,041 | 10 |
| Amazon Web Services | 986 | 8 |
| 882 | 17 |
What they’re building with: OpenAI / GPT 14.9% · Claude (Anthropic) 13.3% · Gemini (Google) 6.4% · Llama 1.9% of AI postings name each — the stack, read from real requirements.
Why vendors use it
- Reach teams the week they staff up — not months later, off a stale database
- Filter to your tool or your competitor's — companies whose JDs name vLLM, LangChain, a vector DB, your rival
- Every row is actionable — company, role count, country, and a link straight to the posting
- Your pipeline refreshes itself — a fresh list every month, ranked by hiring velocity
- Try it with zero risk — the free sample is your own target list — no call, no strings
How it works
- 1
Name your category
Tell us your tool category or a competitor — e.g. “vector databases” or “LangChain”.
- 2
We filter the corpus
Companies hiring for it, with the stack they name and how fast they're staffing up.
- 3
You get a file monthly
Company, roles, tools, country and links — CSV or self-serve download.
Pricing
One closed deal pays for a year. Funds buy this same hiring signal from LinkUp and Revelio for around $80,000 — here it’s priced for go-to-market teams, and you can try a single file for the cost of lunch.
One-off file, self-serve. Last month, your segment.
Monthly list for a market or vertical.
Everyone naming your tool or a competitor.
Questions
Where does the data come from — is this legal?
Can I get only companies that name my tool (or a competitor)?
How fresh is it?
How do you define an “AI role”?
See your own list before you decide
Tell us your tool category and we'll build a free sample — the companies hiring for it right now, no strings.
- n
- 43,675
- as of
- 2026-06-14
- version
- v2026.06
- geo
- 18 countries
Coverage spans 18 countries — the US, Canada, Australia and 15 European markets, led by the US, Germany and the UK. Aggregates and public links only — no personal contact data, no MNPI. Full provenance on How it’s built.