New Runtime data · Workforce
xAI: what it hires for
Open postings on xAI'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.
299 open71 new in 30 daysAll companiesJSON
Exhibit 1 · Family mix against the industry
xAI over-weights engineering: 67% of its analysed roles vs 25% industry
xAI (bold) against the industry and the 3 companies with the closest mix (Cerebras, Mistral AI and Vercel). Each bar is 100% of analysed roles.
- All companies2,010 analysed45%25%16%
- xAI119 of 299 in its top six67%18%
- Cerebras44 of 124 in its top six64%14%
- Mistral AI94 of 239 in its top six32%22%20%18%
- Vercel31 of 87 in its top six35%26%23%16%
Source: the public job boards of 18 AI companies (238 boards), read daily · as of Nov 12, 2026. 180 of xAI's 299 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 |
|---|---|---|
| Infrastructure | 58 | 19% |
| Operations | 22 | 7.4% |
| Data | 12 | 4.0% |
| Security | 10 | 3.3% |
| Go-to-market | 9 | 3.0% |
| Safety and policy | 8 | 2.7% |
Exhibit 2 · Tool stack against the industry
xAI: Jira 13× the industry share (5.9% of its analysed roles vs 0.4%)
Bar = share of xAI'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 | 16 | 13% | 11% |
| C++ | 13 | 11% | 1.6% |
| Rust | 9 | 7.6% | 1.5% |
| Jira | 7 | 5.9% | 0.4% |
| SCADA | 7 | 5.9% | 0.5% |
| CMMS | 6 | 5.0% | — |
| JAX | 5 | 4.2% | 1.1% |
| Kubernetes | 5 | 4.2% | 4.0% |
Exhibit 3 · Most common titles
AI Tutor leads xAI's titles with 8 postings; its top 8 titles hold 38
Bar = open postings with that exact title, without level, team or location.
- AI Tutor8
- Software Engineer6
- Construction Manager5
- Client Partner4
- Construction Superintendent4
- Model Engineer4
- Security Engineer4
- Data Center Operations Technician3
Source: the public job boards of 18 AI companies (238 boards), read daily · as of Nov 12, 2026.
Table · 8 rows
| Title | Postings |
|---|---|
| AI Tutor | 8 |
| Software Engineer | 6 |
| Construction Manager | 5 |
| Client Partner | 4 |
| Construction Superintendent | 4 |
| Model Engineer | 4 |
| Security Engineer | 4 |
| Data Center Operations Technician | 3 |
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.