TTR Intelligence

US technology hiring is selective, not frozen.

The labor market is running in a low-hire, low-fire pattern: broad openings and hires are soft, but specialist demand is still visible in AI, data, software, regulated fintech, and infrastructure-heavy technical roles.

Market Pulse

The national market is stable, but not easy.

Hiring conditions are not collapsing, but the market is selective. Broad labor data points to steady employment, slower movement, and a premium on roles that unlock technical execution.

+178K Payroll change

BLS Employment Situation, March 2026

4.3% Unemployment rate

Changed little month over month

6.9M Open roles

BLS JOLTS, February 2026

4.8M Hires

Hires decreased in February

3.0M Quits

Worker confidence remains muted

1.7M Layoffs

Still low relative to recessionary labor markets

ADP private employment history

Tech-adjacent sectors are moving sideways.

The chart uses ADP seasonally adjusted private employment, indexed by sector in thousands. The useful takeaway is not a dramatic collapse; it is constrained expansion in the sectors that map most closely to TTR demand.

2.825M 8.702M 22.214M
Information Financial activities Professional services
Information 2.825M +16K in March
Financial activities 8.702M +4K in March
Professional services 22.214M +1K in March
Compensation pressure

Pay still rewards movement.

Job changers 6.6%
Job stayers 4.5%
Information 3.8%
Financial activities 5.2%

For senior searches, compensation data should be used early. The market may be slower, but accepted candidates still price risk, mobility, and opportunity cost.

Vertical Readout

How the data maps to TTR's four markets

AI

Demand is moving from general AI curiosity to applied productivity, evaluation, governance, MLOps, and data infrastructure execution.

NACE shows AI moving into task design, while BPC's Lightcast-backed dashboard tracks job-posting demand across AI skill clusters, geography, and industry.

Senior AI hiring should separate model novelty from deployment reliability, data access, governance, and cost-to-serve discipline.
Blockchain

Blockchain hiring should be tracked through scarce engineering supply, globally mobile STEM applicants, security depth, and senior infrastructure readiness.

Internationally mobile workers made up 31.6% of software-development applicants and 37% of data-and-analytics applicants in Q2 2025.

Protocol and infrastructure teams should expect cross-border candidate flow, heavier application volume, and more credential/context validation.
Fintech

Financial activities are stable but not expanding aggressively, which makes senior payments, compliance, data, and risk hiring more selective.

ADP reported +4,000 private financial-activities jobs in March 2026, while BLS showed financial activities down 77,000 from a May 2025 peak.

Prioritize candidates who can handle regulated scale, auditability, and systems reliability rather than broad startup generalism.
SaaS

SaaS hiring is not a volume game right now; it is a replacement, productivity, and technical leverage market.

Professional and business services added only +1,000 ADP private jobs in March 2026 and BLS showed little monthly change.

Series A and B teams should protect VP Engineering, Staff, infrastructure, and GTM-systems hires that directly improve execution velocity.
AI Skills Demand

AI is becoming a skills taxonomy, not one job family.

The BPC AI Skills Data Dashboard, powered by Lightcast postings data, is useful because it separates AI demand into skill clusters and lets the market be read by industry, occupation, state, and metro. For TTR, that means the Intelligence page should track whether demand is showing up in applied AI, machine learning, data infrastructure, governance, security, or productivity tooling rather than treating AI as one broad keyword.

Track AI skill clusters monthly, then translate them into the roles founders actually need.
Applicant Quality

The funnel is getting noisier.

NACE reported that 44% of employers detected AI-generated applications, while only 20% used tools to detect AI assistance. Indeed Hiring Lab also shows internationally mobile workers are overrepresented in STEM applicant pools, including software development and data analytics.

More inbound volume does not equal more qualified senior candidates.
How to use this readout

Turn the data into hiring decisions.

This page should help founders and hiring leaders decide where to move now, where to wait, and where a specialist search is worth the cost.

Prioritize scarce roles

Use the readout to identify senior searches where slow hiring creates execution risk.

Calibrate compensation

Compare pay pressure and candidate movement before setting a search range.

Separate signal from volume

High applicant flow still needs proof of judgment, domain depth, and delivery history.

Source Stack

What this report is built from