"Forward Deployed Engineer" went from a Palantir-specific title to one of the
hottest roles in AI in about eighteen months. But nobody had actually counted
the market, so I did. I pulled every open FDE role I could find from public ATS
job boards (Greenhouse, Lever, Ashby) across 11 companies and analyzed all 292 of
them. Here is what the data says.
Who is hiring
Three companies account for 250 of the 292 openings:
- Palantir: 95 (they coined the title, and still call many of these roles "Deployment Strategist")
- Databricks: 85
- OpenAI: 70
Then a long tail: Cohere and Scale AI (13 each), Sierra, Writer, Modal, Baseten,
Ramp, and Sardine.
What it pays
Of the 40 roles that disclosed a US pay band, the median ran $197K to $294K,
topping out at $390K plus equity at OpenAI and Sierra, with a floor around
$137K. That is senior-software-engineer money for a role a lot of engineers have
never heard of. International and most Palantir roles did not publish bands, so
the true market is likely even broader.
Three things that surprised me
1. 98% of these roles are customer-facing. This is the defining trait. It is
not a backend role with occasional meetings. It is an engineer who lives in the
customer's world, and if that sounds terrible to you, this is not a role you
would enjoy occasionally. It is the whole job.
2. The title is chaos. The same role goes by at least four names: Forward
Deployed Engineer (152), Forward Deployed Software Engineer (58), AI or
Deployment Engineer (43), and Deployment Strategist (36). If you only search one
term, you miss most of the market.
3. The job descriptions undersell the technical bar. JDs emphasize
customer-facing work, cloud (AWS/GCP/Azure), Python, and integrations. But SQL
and algorithms show up in only about a third of them, even though every FDE loop
I have seen tests live coding and SQL under time pressure. The description sells
the breadth. The interview tests the depth.
The other details
- Geography: about 48% USA, but genuinely global (UK, Australia, Japan, South Korea). Roughly 29% are flagged remote-friendly.
- Seniority: 62% are mid-level or IC, not staff or principal. You do not need to be a 15-year veteran to break in.
- Travel: 44% of descriptions mention it. OpenAI's field roles say "up to 50%," Databricks clusters around 15 to 25%, and platform/infra roles are often under 10%.
Method and caveats
Pulled from public ATS boards in July 2026, matched on title (forward deployed /
FDE / deployment strategist / AI deployment engineer), de-duped, filtered to
technical roles, with all 292 descriptions read for the skills breakdown. It is a
point-in-time snapshot, and the market moves week to week.
Full breakdown with the charts (by company, pay, geography, seniority, and
required skills) is here:
https://rungcode.io/reports/forward-deployed-engineer-jobs
If you are actually prepping for one of these loops, that is the whole reason I
started pulling this data. Happy to answer questions in the comments.
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