Forward Deployed Engineering Job Market
The Forward Deployed Engineer role: demand, hiring companies, required skills and pay bands.
Generated Sep 29, 2026 · Dataset window: Dec 5, 2009 – Sep 29, 2026 · Observations: 231
Executive summary
Based on 231 active Forward Deployed Engineer postings from 11 companies in the tracked dataset. Forward Deployed Engineer is classified from exact job titles and evidence in job descriptions — see the methodology for classification rules.
Market snapshot
Skills employers ask for
| Skill | Jobs mentioning | Share of role |
|---|---|---|
| Evaluation | 108 | 47% |
| Python | 102 | 44% |
| AWS | 101 | 44% |
| Azure | 99 | 43% |
| Google Cloud | 98 | 42% |
| Spark | 92 | 40% |
| TypeScript | 85 | 37% |
| JavaScript | 77 | 33% |
| LLM | 45 | 19% |
| System Design | 25 | 11% |
Who is hiring
| Company | Active jobs |
|---|---|
| Databricks | 117 |
| Palantir | 81 |
| Scale AI | 14 |
| Anthropic | 7 |
| Glean | 3 |
| Together AI | 2 |
| Asana | 2 |
| Brex | 2 |
| Stability AI | 1 |
| Tenstorrent | 1 |
Interpretation
These figures describe only the tracked dataset on this site — public employer career pages of AI-sector companies. They are a lower bound on the total market. For the live numbers see the Forward Deployed Engineer role page.
Methodology & limitations
Dataset: active job postings collected from public employer career pages and ATS APIs (Greenhouse, Lever). Role classification uses exact-title pattern matching with evidence stored per posting; skills are extracted from description text.
Limitations: the dataset covers tracked employers only and is a lower bound on the market. Figures describe the tracked dataset, not the entire AI labor market. Salary figures use advertised ranges only.
Full details: data methodology.