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// ORIGINAL DATA · v1

The State of Forward-Deployed Engineering, 2026

I pulled 519 FDE-family job postings from 57 employersusing only public ATS job-board APIs (Greenhouse, Lever, Ashby), coded each one against a fixed rubric, and asked a simple question: how many roles that call themselves "forward-deployed" actually are? Everything here is computed from real fetched data. The dataset and methodology are free.

By Adam Boudjemaa · Snapshot 2026-07-21 · CC BY 4.0 · Extracted facts + link-backs only, no verbatim postings

Headline findings

28%

of roles that call themselves “Forward Deployed Engineer/FDSE” don’t meet the true-FDE bar

66 of 235 are relabeled solutions or sales-adjacent roles. 71.9% do meet it (production coding + customer-embedded + no quota, not sales-reporting).

60.4%

meet the bar under a strict reading that also requires an explicit engineering or product reporting line

142 of 235. So four in ten self-described FDE roles fall short of the stricter test.

98.3%

require production coding

Whatever else it is, the real version of the role is an engineering job.

14.1%

carry quota, commission, or OTE language

The minority that have drifted toward sales.

What these roles are called

The FDE title itself is only 38% of the family. The label is scattered across a dozen names.

FDE36.2% (188)
Solutions Architect16% (83)
Solutions Engineer9.8% (51)
FDSE9.1% (47)
Deployment Engineer7.5% (39)
Deployment Strategist6.6% (34)
Applied AI Engineer5.4% (28)
Field Engineer4.8% (25)
Customer Engineer2.3% (12)
Other1.7% (9)
Implementation Engineer0.6% (3)

Who they report to (the authenticity fault line)

Reporting line is the single clearest signal of a real FDE role. 58.9% report into engineering or product; only 8.8% into sales.

Engineering / Product58% (301)
Services / Delivery17.5% (91)
unclear16.8% (87)
Sales / GTM7.7% (40)

What they require

CORE REQUIREMENTS

AI/ML required84.4%
Data / SQL / pipelines50.7%
Security / regulatory17.7%
Equity mentioned38.3%

TOP LANGUAGES

Python70.7%
TypeScript / JS38.7%
Go27.6%
SQL22.9%
Java18.1%
Scala16.8%

43.2%

onsite

34.1%

remote

22.7%

hybrid

Compensation

Only 17.3% of postings published a pay range, so treat this as directional.

$175,000

median base floor

$278,000

median base ceiling

5 yrs

median experience floor

Published base floors ranged $105K - $293K; ceilings $150K - $500K.

Get the data

Limitations (read these)

  • Sampling frame: only companies on public Greenhouse/Lever/Ashby boards, from a hand-curated seed list. Skews to US / venture-backed AI-native companies; under-covers large enterprise on private ATS, EMEA/APAC, and staffing listings. This is the state of FDE hiring among AI-native/infra companies on public ATS boards, not the whole market.
  • Concentration: the four largest employers (Databricks, Palantir, OpenAI, Snowflake) supply about 59% of postings, so read every aggregate as employer-weighted, not evenly spread across the market.
  • Snapshot, not flow: point-in-time open roles are not hires. Trend claims need a second edition.
  • Self-reported text: requirements reflect what employers write, not what they enforce.
  • Derived fields (including the true-FDE bar) are coded by a deterministic, temperature-0 keyword rubric, auditable back to text spans; not human-adjudicated for every row.
  • Compensation coverage is partial: only the 17.3% of postings with public ranges, which over-represents US pay-transparency states.

Cite this

Boudjemaa, Adam. "State of Forward-Deployed Engineering 2026," v1. adam-boudjemaa.com, 2026-07-21. https://adam-boudjemaa.com/state-of-fde. Data licensed CC BY 4.0.