New Runtime data · Workforce
Replit: what it hires for
Open postings on Replit'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.
31 open12 new in 30 daysAll companiesJSON
Exhibit 1 · Family mix against the industry
Replit over-weights engineering: 56% of its analysed roles vs 25% industry
Replit (bold) against the industry and the 3 companies with the closest mix (OpenRouter, Cohere and Vercel). Each bar is 100% of analysed roles.
- All companies2,010 analysed45%25%16%
- Replit16 of 31 in its top six38%56%
- OpenRouter14 of 26 in its top six57%21%14%
- Cohere47 of 123 in its top six43%28%21%
- 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. 15 of Replit's 31 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 |
|---|---|---|
| Security | 4 | 13% |
| Go-to-market | 4 | 13% |
| Infrastructure | 3 | 9.7% |
| Software engineering | 2 | 6.5% |
| Customer success | 2 | 6.5% |
| Operations | 1 | 3.2% |
Exhibit 2 · Tool stack against the industry
Replit: GCP 5.7× the industry share (19% of its analysed roles vs 3.3%)
Bar = share of Replit'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 |
|---|---|---|---|
| GCP | 3 | 19% | 3.3% |
| Kubernetes | 3 | 19% | 4.0% |
| AWS | 2 | 13% | 5.0% |
| Azure | 2 | 13% | 3.4% |
| Cloud Logging | 2 | 13% | — |
| Linear | 2 | 13% | — |
| Slack | 2 | 13% | 1.0% |
| Zendesk | 2 | 13% | — |
Exhibit 3 · Most common titles
Engineering Manager leads Replit's titles with 3 postings; its top 8 titles hold 12
Bar = open postings with that exact title, without level, team or location.
- Engineering Manager3
- Software Engineer2
- Support Engineer2
- Chief of Staff1
- Cloud Security Lead1
- Communications1
- Corporate Affairs1
- Enterprise Account Executive1
Source: the public job boards of 18 AI companies (238 boards), read daily · as of Nov 12, 2026.
Table · 8 rows
| Title | Postings |
|---|---|
| Engineering Manager | 3 |
| Software Engineer | 2 |
| Support Engineer | 2 |
| Chief of Staff | 1 |
| Cloud Security Lead | 1 |
| Communications | 1 |
| Corporate Affairs | 1 |
| Enterprise Account Executive | 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.