Scale AI Forward Deployed Engineer: what the postings ask for
Published
Scale AI posts Forward Deployed Engineer seats next to Deployment Strategist seats, with a public-sector and government theme. In FDE Dispatch's October 24, 2026 snapshot of public job boards it has 11 open, tied with Cloudflare and Cohere for ninth of 121 employers. 9 are engineer titles across three tracks: Frontier Agents Engineer (Forward Deployed Engineering) at three levels in San Francisco and New York, Full-Stack Software Engineer (Forward Deployed), GPS (Global Public Sector) with 5 postings in London, Riyadh and Doha, and Forward Deployed Software Engineer, Public Sector across 6 US cities at 50% travel. The other 2 are Deployment Strategist seats (DHS/DOJ in Washington DC; Space Systems Command in Los Angeles). 6 are US-located and 5 are outside the US; none list remote. 3 of 11 state travel. 6 of 11 list USD pay (all US seats); the 4 US engineer ranges have a median midpoint of $240,640. 6 of 11 mention equity. Eleven postings is a small sample. FDE Dispatch is not affiliated with Scale AI; the figures come from Scale AI's public job postings.
What Scale AI calls the role
Scale AI posts under four title tracks in this snapshot: Frontier Agents Engineer (Forward Deployed Engineering), Full-Stack Software Engineer (Forward Deployed), GPS, Forward Deployed Software Engineer, Public Sector, and Deployment Strategist. GPS expands to Global Public Sector in the posting texts. The 2 Deployment Strategist seats sit beside the engineer tracks; see deployment strategist vs forward deployed engineer for how that paired title compares across employers.
Public-sector and government work runs through the sample. The Public Sector engineer text describes embedding with U.S. government customers. The GPS full-stack texts describe Scale's Global Public Sector team building AI applications with public-sector counterparts. The strategist titles name DHS/DOJ and Space Systems Command.
| Track | Postings | Places | Travel stated (upper bound) |
|---|---|---|---|
| Frontier Agents Engineer (Forward Deployed Engineering) | 3 | San Francisco and New York (Engineer, Senior, Staff) | 0 state |
| Full-Stack Software Engineer (Forward Deployed), GPS | 5 | London (x2), Riyadh (x2), Doha | 0 state |
| Forward Deployed Software Engineer, Public Sector | 1 | Austin, Colorado Springs, Honolulu, Omaha, St. Louis, Washington DC | 1 state: 50% |
| Deployment Strategist | 2 | Washington DC (DHS/DOJ), Los Angeles (Space Systems Command) | 2 state: both 20-30% |
| Total | 11 | US plus London, Riyadh, Doha | 3 state a percentage |
6 of the 9 engineer-title rows in the requirements index state a years-of-experience figure (4, 5 or 8 years). Title variants across employers are on Forward Deployed Engineer job titles.
What the postings ask for
Nine requirements-index flags hold up against the Scale AI engineer posting texts. All 9 engineer-title rows mention Python, LLMs or generative AI, cloud (AWS, GCP or Azure) and Kubernetes or Docker, against 76.2%, 43.9%, 35.9% and 19.2% of the 563 engineer-title postings in the FDE requirements index (posting text re-fetched October 25, 2026). The 2 Deployment Strategist texts were empty on that re-fetch, so they are outside the index.
| Requirement | Scale AI engineer postings (of 9) | All 563 engineer-title postings |
|---|---|---|
| Python | 9 (100.0%) | 76.2% |
| LLMs or generative AI | 9 (100.0%) | 43.9% |
| AWS, GCP or Azure (cloud) | 9 (100.0%) | 35.9% |
| Kubernetes or Docker | 9 (100.0%) | 19.2% |
| TypeScript or JavaScript (incl. Node.js) | 6 (66.7%) | 56.5% |
| Computer science degree | 5 (55.6%) | 22.2% |
| AI agents or agentic systems | 3 (33.3%) | 41.0% |
| Startup or founder experience | 3 (33.3%) | 11.9% |
| RAG, retrieval or vector search | 3 (33.3%) | 19.4% |
The agents and RAG flags land on the 3 Frontier Agents seats. The startup flag lands on the 3 Staff GPS seats. The customer-facing, APIs, evals and data-pipelines keyword flags undercount relative to the posting texts (customer-facing is 1 of 9 in the index even though the texts describe customer and public-sector counterpart work), so this page does not publish those flags as Scale AI comparisons. A mention is not a hard requirement. Scale AI has 9 rows in the index, under the cut used to rank employers with 10 or more postings.
Where the roles are, and how many are remote
6 of the 11 postings (54.5%) are US-located on the published locations index. 5 (45.5%) are outside the US, against 40.1% across all 725 postings: the GPS seats in London, Riyadh and Doha. US cities listed across the 6 US-located postings: Austin, TX, Colorado Springs, CO, Honolulu, HI, Los Angeles, CA, New York, NY, Omaha, NE, San Francisco, CA, St. Louis, MO, Washington, DC.
None of the 11 list remote, against 27.4% across the snapshot. All 11 leave the workplace field blank on the Greenhouse capture.
Metro and remote figures for every employer are on Forward Deployed Engineer jobs by location.
Scale AI's 11 FDE-family postings center on public-sector and government work: a Public Sector Forward Deployed Software Engineer seat across six US cities, five Global Public Sector full-stack seats in London, Riyadh and Doha, plus Frontier Agents roles that deploy production AI with enterprise customers. FDE Dispatch trains engineers for the customer-deployment rounds those hiring loops use.
How much Scale AI Forward Deployed Engineers travel
3 of the 11 postings mention travel, and all 3 state a percentage. Both Deployment Strategist seats say 20-30% (upper bound 30). Forward Deployed Software Engineer, Public Sector says 50%. The median stated upper bound among those 3 is 30%, matching the 30% all-employer median on how much forward deployed engineers travel. The Frontier Agents and GPS seats do not mention travel in this snapshot.
What Scale AI posts for pay
6 of the 11 postings list a USD pay range: every US-located seat. The 5 Global Public Sector (GPS) seats outside the US list no range. Across the 4 US engineer-title ranges the median midpoint is $240,640, against $216,104 across 255 US engineer-title postings on Forward Deployed Engineer salary. Posted ranges are not offers and exclude equity value. Eleven postings is a small sample.
| Title | Location | Posted range |
|---|---|---|
| Staff Frontier Agents Engineer (Forward Deployed Engineering) | San Francisco, CA | $252,000 to $315,000 |
| Senior Frontier Agents Engineer (Forward Deployed Engineering) | San Francisco, CA | $216,000 to $270,000 |
| Forward Deployed Software Engineer, Public Sector | Austin, TX; Colorado Springs, CO; Honolulu, HI; Omaha, NE; St. Louis, MO; Washington, DC | $184,000 to $292,560 |
| Deployment Strategist, Space Systems Command | Los Angeles, CA | $203,200 to $254,000 |
| Frontier Agents Engineer (Forward Deployed Engineering) | San Francisco, CA | $180,000 to $225,000 |
| Deployment Strategist - DHS/DOJ | Washington, DC | $176,800 to $221,000 |
6 of the 11 postings mention equity (the same 6 US seats), against 53.5% across all employers with FDE-family postings.
What this means if you are preparing for a Scale AI loop
- Public sector and government. GPS means Global Public Sector. The Public Sector engineer text describes embedding with U.S. government customers; the strategist titles name DHS/DOJ and Space Systems Command. Have a worked example of shipping software with a government or regulated customer.
- Track. Frontier Agents seats focus on production AI agents with enterprise customers. GPS seats are full-stack builds for public-sector counterparts outside the US. Public Sector FDSE is the multi-city U.S. government engineer seat. Read the track in the title before you decide which seat fits.
- Travel and location. Only 3 of 11 state travel. The Public Sector seat states 50% across six US cities. GPS seats sit in London, Riyadh or Doha with no travel figure in this snapshot.
Round formats for FDE loops are on the FDE interview loop, explained, and practice prompts on FDE interview practice questions.
Method and data
Population: the 11 Scale AI rows with in_page_stats = true among the 725 FDE-family postings from 121 employers counted on the salary, job titles, locations and travel pages. Snapshot pulled October 24, 2026 from Scale AI's public Greenhouse board. Requirements come from the October 25, 2026 requirements index, which re-fetched the posting text; the 9 engineer-title Scale AI postings are in it. The 2 Deployment Strategist texts were empty on that re-fetch. GPS expands to Global Public Sector in the posting texts.
Track: title text (Frontier Agents, GPS full-stack, Public Sector FDSE, Deployment Strategist). US-located and remote-listed use the published locations-index definitions: a posting is US-located when every listed location is in the US, and remote-listed when the board marks it remote or a listed location contains Remote. Travel upper bound = largest number in the stated percentage string, the rule on the travel page. US pay: US-only location, USD range posted, first range in the posting text. Engineer median midpoint uses the 4 US engineer-title ranges. These 11 listings were live on the October 24, 2026 snapshot; counts are open postings on one day and do not measure headcount. Eleven postings is a small sample.
Downloads: Scale AI JSON, field notes, and the per-posting postings JSON. All published datasets are listed on FDE Dispatch job-posting data. Built by scripts/build-scaleai-aggregate.py.
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Field notes from live AI deployments and what FDE interview loops are testing.
Related guides
- What is a Forward Deployed Engineer?
- How to become a Forward Deployed Engineer
- Entry-level Forward Deployed Engineer jobs
- The FDE interview loop, explained
- FDE interview loop field guide
- FDE interview practice questions
- Forward Deployed Engineer job titles
- Forward Deployed Engineer jobs by location
- Forward Deployed Engineer skills
- Forward Deployed Engineer resume
- Forward Deployed Engineer salary
- How much do forward deployed engineers travel?
- Deployment strategist vs forward deployed engineer
- Palantir Forward Deployed Engineer
- OpenAI Forward Deployed Engineer
- Databricks Forward Deployed Engineer
- Salesforce Forward Deployed Engineer
- Accenture Forward Deployed Engineer
- LangChain Forward Deployed Engineer
- Cognition Forward Deployed Engineer
- Scale AI Forward Deployed Engineer
- Forward Deployed Engineering manager
- How to hire a Forward Deployed Engineer
- How to evaluate a Forward Deployed Engineer training program
- FDE vs. solutions engineer
- Forward Deployed Engineer vs. software engineer
- FDE glossary: short definitions of Forward Deployed Engineer terms
- FDE Dispatch job-posting data
Questions people ask
Does Scale AI hire Forward Deployed Engineers?
Yes. Scale AI had 11 open FDE-family postings on its public Greenhouse board in the October 24, 2026 snapshot, tied with Cloudflare and Cohere for ninth among the 121 employers with FDE-family postings. 9 are engineer titles across three tracks (Frontier Agents Engineer at three levels, Full-Stack Software Engineer Forward Deployed GPS (Global Public Sector), and Forward Deployed Software Engineer Public Sector) and 2 are Deployment Strategist seats (DHS/DOJ in Washington DC and Space Systems Command in Los Angeles). Eleven postings is a small sample.
How much does a Scale AI Forward Deployed Engineer make?
6 of the 11 Scale AI postings list a USD pay range, covering every US-located seat. The 4 US engineer-title ranges have a median midpoint of $240,640, against $216,104 across 255 US engineer-title FDE postings. The 5 Global Public Sector (GPS) seats outside the US list no range. 6 of the 11 postings mention equity (the same 6 US seats). Posted ranges are not offers and exclude equity value.
What skills do Scale AI Forward Deployed Engineer postings ask for?
In the requirements index (posting text re-fetched October 25, 2026; 9 Scale AI engineer-title rows), all 9 mention Python, LLMs or generative AI, cloud (AWS, GCP or Azure) and Kubernetes or Docker, against 76.2%, 43.9%, 35.9% and 19.2% of 563 engineer-title FDE postings. 6 mention TypeScript or JavaScript, 5 mention a computer science degree, and 3 each mention AI agents, startup or founder experience, and RAG or retrieval. The customer-facing, APIs, evals and data-pipelines keyword flags undercount relative to the posting texts, so those flags are not used as Scale AI comparisons. 6 of 9 state a years-of-experience figure. Public-sector and government work runs through the engineer texts.
Are Scale AI Forward Deployed Engineer jobs remote?
None of the 11 Scale AI postings list remote on the published locations index, against 199 of 725 (27.4%) across the snapshot. All 11 leave the workplace field blank.
Where are Scale AI Forward Deployed Engineer jobs located?
6 of 11 are US-located on the published locations index and 5 are outside the US (45.5%, against 40.1% across all 725 postings). US seats cover San Francisco and New York for Frontier Agents, six cities for the Public Sector engineer seat (Austin, Colorado Springs, Honolulu, Omaha, St. Louis, Washington DC), plus strategist seats in Washington DC and Los Angeles. The 5 Global Public Sector (GPS) seats are in London, Riyadh and Doha. 3 of 11 state travel: both strategist seats say 20-30% and Public Sector says 50%.
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