New Runtime data · Workforce
Thinking Machines Lab: what it hires for
Open postings on Thinking Machines Lab's public job board, classified by role family, with the tools and titles they name. As of Nov 12, 2026; the industry picture is on Workforce.
53 open11 new in 30 daysAll companiesJSON
Exhibit 1 · Family mix against the industry
Thinking Machines Lab over-weights models and safety: 32% of its analysed roles vs 9.6% industry
Thinking Machines Lab (bold) against the industry and the 3 companies with the closest mix (Mistral AI, Perplexity and Anthropic). Each bar is 100% of analysed roles.
- All companies2,010 analysed45%25%16%
- Thinking Machines Lab22 of 53 in its top six32%27%32%
- Mistral AI94 of 239 in its top six32%22%20%18%
- Perplexity45 of 136 in its top six42%38%
- Anthropic249 of 673 in its top six44%26%20%
Source: the public job boards of 18 AI companies (238 boards), read daily · as of Nov 12, 2026. 31 of Thinking Machines Lab's 53 open postings are not analysed yet or sit outside its six largest families. Colours are the sectors of the hiring orbit.
Table · 6 rows
| Family | Open | Share of company |
|---|---|---|
| Operations | 6 | 11% |
| Security | 4 | 7.5% |
| Research | 4 | 7.5% |
| Infrastructure | 3 | 5.7% |
| Safety and policy | 3 | 5.7% |
| Design | 2 | 3.8% |
Exhibit 2 · Tool stack against the industry
Thinking Machines Lab: Rust 15× the industry share (23% of its analysed roles vs 1.5%)
Bar = share of Thinking Machines Lab's postings in its top six families that ask for the tool; ink tick = share of all analysed postings. Its 8 most-asked tools.
Source: the public job boards of 18 AI companies (238 boards), read daily · as of Nov 12, 2026. Per-company tools are its eight most-asked; the ratio is its share over the industry's.
Table · 8 rows
| Tool | Postings | Share of its top six | Industry share |
|---|---|---|---|
| Python | 10 | 45% | 11% |
| Rust | 5 | 23% | 1.5% |
| Go | 3 | 14% | 2.5% |
| JAX | 3 | 14% | 1.1% |
| Kubernetes | 3 | 14% | 4.0% |
| PyTorch | 3 | 14% | 1.4% |
| TensorFlow | 3 | 14% | — |
| CI/CD | 2 | 9.1% | 0.8% |
Exhibit 3 · Most common titles
Software Engineer leads Thinking Machines Lab's titles with 5 postings; its top 8 titles hold 13
Bar = open postings with that exact title, without level, team or location.
- Software Engineer5
- Research Engineer2
- Brand Designer1
- Business Recruiter1
- Executive Business Partner1
- GTM Recruiter1
- Infrastructure Engineer1
- Model Designer1
Source: the public job boards of 18 AI companies (238 boards), read daily · as of Nov 12, 2026.
Table · 8 rows
| Title | Postings |
|---|---|
| Software Engineer | 5 |
| Research Engineer | 2 |
| Brand Designer | 1 |
| Business Recruiter | 1 |
| Executive Business Partner | 1 |
| GTM Recruiter | 1 |
| Infrastructure Engineer | 1 |
| Model Designer | 1 |
How the numbers are made
- Counts come from the public job boards of AI companies (Greenhouse, Ashby and Lever), read once a day.
- A posting is open from the day we first see it until a full read of its board no longer lists it.
- Each posting is classified by a language model into a fixed set of role families, seniority levels, work modes and AI focus, and the tools and skills it asks for are listed; shares are of classified open postings.
- New means published in the last 30 days (or first seen after our first collection day when the board gives no date); everything open on our first day is the baseline, not new hiring.
- Salary bands use the midpoint of ranges the postings state themselves, only where at least 10 postings of one family state a range in one currency.
- Roles, never people: no recruiter, hiring manager or applicant is collected.