New Runtime data · Workforce
Scale AI: what it hires for
Open postings on Scale AI'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.
169 open30 new in 30 daysAll companiesJSON
Exhibit 1 · Family mix against the industry
Scale AI over-weights operations: 23% of its analysed roles vs 16% industry
Scale AI (bold) against the industry and the 3 companies with the closest mix (OpenAI, ElevenLabs and Anthropic). Each bar is 100% of analysed roles.
- All companies2,010 analysed45%25%16%
- Scale AI43 of 169 in its top six49%21%23%
- OpenAI311 of 823 in its top six52%18%21%
- ElevenLabs86 of 128 in its top six63%15%22%
- 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. 126 of Scale AI's 169 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 |
|---|---|---|
| Go-to-market | 12 | 7.1% |
| Operations | 10 | 5.9% |
| Forward deployed | 9 | 5.3% |
| AI engineering | 7 | 4.1% |
| Safety and policy | 3 | 1.8% |
| Infrastructure | 2 | 1.2% |
Exhibit 2 · Tool stack against the industry
Scale AI: LLMs 11× the industry share (9.3% of its analysed roles vs 0.8%)
Bar = share of Scale AI'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 |
|---|---|---|---|
| LLMs | 4 | 9.3% | 0.8% |
| Python | 4 | 9.3% | 11% |
| AWS | 3 | 7.0% | 5.0% |
| Docker | 3 | 7.0% | — |
| Kubernetes | 3 | 7.0% | 4.0% |
| LLM | 3 | 7.0% | 1.0% |
| Salesforce | 3 | 7.0% | 3.8% |
| TypeScript | 3 | 7.0% | 2.0% |
Exhibit 3 · Most common titles
Software Engineer leads Scale AI's titles with 6 postings; its top 8 titles hold 20
Bar = open postings with that exact title, without level, team or location.
- Software Engineer6
- Applied AI Engineer3
- Engagement Manager2
- Full-Stack Software Engineer2
- Head of Strategic Partnerships2
- Public Sector Lead2
- Software Engineering Intern2
- AI Development Strategist1
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 | 6 |
| Applied AI Engineer | 3 |
| Engagement Manager | 2 |
| Full-Stack Software Engineer | 2 |
| Head of Strategic Partnerships | 2 |
| Public Sector Lead | 2 |
| Software Engineering Intern | 2 |
| AI Development Strategist | 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.