New Runtime data · Workforce
LangChain: what it hires for
Open postings on LangChain'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.
101 open34 new in 30 daysAll companiesJSON
Exhibit 1 · Family mix against the industry
LangChain over-weights sell and deploy: 76% of its analysed roles vs 45% industry
LangChain (bold) against the industry and the 3 companies with the closest mix (Cursor, Databricks and ElevenLabs). Each bar is 100% of analysed roles.
- All companies2,010 analysed45%25%16%
- LangChain62 of 101 in its top six76%13%
- Cursor (Anysphere)95 of 113 in its top six77%17%
- Databricks311 of 913 in its top six83%
- ElevenLabs86 of 128 in its top six63%15%22%
Source: the public job boards of 18 AI companies (238 boards), read daily · as of Nov 12, 2026. 39 of LangChain's 101 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 | 25 | 25% |
| Forward deployed | 16 | 16% |
| Operations | 7 | 6.9% |
| Customer success | 6 | 5.9% |
| AI engineering | 5 | 5.0% |
| Infrastructure | 3 | 3.0% |
Exhibit 2 · Tool stack against the industry
LangChain: Helm 29× the industry share (15% of its analysed roles vs 0.5%)
Bar = share of LangChain'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 |
|---|---|---|---|
| AWS | 16 | 26% | 5.0% |
| Azure | 12 | 19% | 3.4% |
| GCP | 11 | 18% | 3.3% |
| Kubernetes | 10 | 16% | 4.0% |
| Terraform | 10 | 16% | 1.6% |
| Helm | 9 | 15% | 0.5% |
| Python | 9 | 15% | 11% |
| GKE | 7 | 11% | 0.4% |
Exhibit 3 · Most common titles
Deployed Architect leads LangChain's titles with 8 postings; its top 8 titles hold 32
Bar = open postings with that exact title, without level, team or location.
- Deployed Architect8
- Deployed Engineer6
- Enterprise Account Executive4
- Account Executive3
- Sales Development Manager3
- Sales Development Representative3
- Software Engineering Manager3
- Account Manager2
Source: the public job boards of 18 AI companies (238 boards), read daily · as of Nov 12, 2026.
Table · 8 rows
| Title | Postings |
|---|---|
| Deployed Architect | 8 |
| Deployed Engineer | 6 |
| Enterprise Account Executive | 4 |
| Account Executive | 3 |
| Sales Development Manager | 3 |
| Sales Development Representative | 3 |
| Software Engineering Manager | 3 |
| Account Manager | 2 |
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.