Capacity update // Assessment scheduling open // Production start confirmed after scope validation
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Solertiq // FDE
// STATE OF FDE

Track where Forward Deployed Engineering demand is forming.

This research program will monitor public FDE and adjacent Applied AI hiring signals without inventing a market-growth number from incomplete data.

Research status Baseline dataset in preparation

The first public briefing will be published after the dataset contains enough current records for transparent, reproducible observations.

// DATA MODEL

What the index will measure.

Hiring companies

Company, stage, industry, role family, posting date, and stated deployment responsibility.

Location and compensation

Published location, work model, salary range, and geographic concentration.

Technical demand

Cloud, model, data, application, security, and customer-facing requirements.

Time-series signals

New postings, repeated hiring, role changes, and category adoption over time.

// METHODOLOGY GUARDRAILS

Useful research requires visible limitations.

Publish collection dates, included role terms, sources, and deduplication rules.
Separate observed posting counts from estimates of total employment or market size.
Do not treat repeated, expired, or syndicated listings as independent demand.
Report compensation only where employers disclose a range.
Label directional observations separately from statistically defensible trends.
// APPLY THE SIGNAL

Hiring an FDE now?

Use the role and active production work to determine what should begin before the hire arrives.

Get a Role-Based Deployment Assessment

Tell us what is blocked. We will respond with the most useful first sprint, required pod shape, and a handoff path.

Assessment first. Production start confirmed only after scope validation.