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Made with🧉in🇦🇷🇺🇸byDraidel
The diiirect Talent IndexLiveUpdated 16 Sept 2026 · 28,608 postings trackedAlways free · no login

An open, evidence-based read on the talent market.

The talent market,
in real time.

Real compensation, hiring demand, and the skills behind it — measured from live postings and official statistics across categories and roles, not surveys.

Demand index · all roles26 weeks
▲ 120%vs. prior period
engineering is the biggest mover. Demand measured from live postings.

28,608
Open postings
27
Categories
44
Roles measured
$93K
Median comp
4,355
Companies hiring

Tracking 28,608 live postings across 12 countries — 8 across Latin America, with compensation for 44 roles, every figure labelled by source.


↵ to explore

Biggest movers

  1. 01Python Developerengineering · 49 open▲ 120%
  2. 02Principal Software Engineerengineering · 265 open▲ 44%
  3. 03Mobile Engineerengineering · 57 open▲ 17%
  4. 04React Developerengineering · 125 open▲ 11%

Highest paid

  1. 01Staff Software EngineerMedian · p50, global$230K
  2. 02Machine Learning EngineerMedian · p50, global$213K
  3. 03Principal Software EngineerMedian · p50, global$209K
  4. 04Product ManagerMedian · p50, global$209K

Where the work is — by category

All categories →
Software & Web Development7,447 open · comp soon
Business Operations2,224 open · comp soon
Sales & Lead Generation1,622 open · comp soon
Product Management1,487 open · comp soon
Digital Marketing & Growth962 open · comp soon
Data, AI & Machine Learning714 open · comp soon
UX/UI & Product Design519 open · comp soon
Customer Support & Success509 open · comp soon

Deep dive

This week’s spotlight

Staff Software Engineer

Open the Staff Software Engineer report →
p25medianp75
$189Kp25$230Kmedian$271Kp75
Reportedn=154

Comp by region — Staff Software Engineer

Cost-indexed · reported + aggregate
Regionp25Medianp75vs. US
United States$140K$140K$140K—

How we measure

Full methodology →
Reported

Real individual wages — salary disclosures in live postings (published at 30+ observations, outlier-filtered) plus government administrative micro-records (Brazil RAIS, Mexico IMSS). Census-grade, no self-selection.

Aggregate

Published official statistics (ILOSTAT, INEGI) and community surveys (sysarmy, Stack Overflow). Self-selection is flagged in the source detail and weighted down.

Baseline

Where disclosure is thin, we anchor to public US BLS occupational wage data, mapped role by role — so every figure has a defensible floor.

Modeled

Regional figures apply a transparent cost index and seniority multipliers. Every number on the page is labelled with how it was derived.


Questions about the data

How current is the talent index?

Demand refreshes weekly from live job postings across tracked ATS providers, LinkedIn, Indeed and community boards; stale postings retire after 10 days. Compensation cadence varies by source — government data is monthly to annual — and every figure shows its own "as of" date.

How are salary percentiles calculated?

We annualize and FX-normalize every disclosed salary to USD, then compute p25 / p50 / p75 per role. Reported percentiles publish only once a role clears 30 observations; below that, figures fall back to official-statistics or BLS-anchored baselines, clearly labelled.

Why is the Latin America data so deep?

We source free, official government wage records — Brazil RAIS, Mexico IMSS, ILOSTAT — the same data paid vendors resell, with cleaner provenance. It is aggregated and anonymized, and it is why LATAM compensation on diiirect is more honest than survey-based competitors.

Is this data free to use?

Yes — the talent index is a public resource. Cite it, link it, or hire directly through diiirect when you are ready to act on it.

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