Job market trends.
Real job listings, not ghost listings. Pulled directly from 205,594 live career pages, not aggregators. Refreshes daily. Filter by role family or country to drill in.
Role volume by week
Currently active postings, bucketed by the week each listing was first posted. Older weeks count fewer jobs because listings since filled or removed have rolled off career pages. The curve mixes real posting cadence with corpus turnover, not pure hiring volume.
Top hiring companies
Most-active employers in the corpus right now. Click any row to drill into that company's open roles.
- Domino's15,708 open
- Amazon13,665 open
- Accenture6,497 open
- CVS Health6,046 open
- Lowe's4,256 open
- TJX Companies3,507 open
- Dollar Tree2,728 open
- Northrop Grumman2,647 open
- Carvana2,585 open
- Citi2,571 open
- Pulse Active Stations Network2,521 open
- Wells Fargo2,507 open
- PNC Financial Services2,387 open
- RTX2,360 open
- Johnson Controls2,279 open
Salary distribution
Disclosed salary minimums (USD) parsed from job descriptions. Shows how compensation clusters for all roles.
Based on 631 jobs (0.3% of 205,594 active listings) where a salary range could be parsed. Coverage is climbing as we extract structured data from new postings.
Remote, hybrid, or onsite
Work-location breakdown for postings where the JD calls it out explicitly.
- Remote10.5% (222)
- Hybrid18.4% (390)
- Onsite31.3% (661)
- Not specified39.8% (842)
Based on 2,115 jobs (1% of 205,594 active listings) where remote status could be parsed. Coverage is climbing as we extract structured data from new postings.
Top technologies in active JDs
Most-mentioned tools and frameworks across parsed listings.
- Python363
- AWS193
- SQL153
- Kubernetes139
- Java109
- Azure95
- Salesforce91
- C++90
- Docker89
- React87
- TypeScript86
- GCP84
- Go83
- Linux75
- Terraform64
- JavaScript58
- Excel52
- PostgreSQL46
- Kafka45
- Git40
- Node.js40
- Rust39
- APIs38
- Microsoft Office36
- PyTorch35
Based on 2,032 jobs (1% of 205,594 active listings) where key technologies could be parsed. Coverage is climbing as we extract structured data from new postings.
How this is built
Four-Leaf scrapes 1,100+ company career pages across six ATS platforms (Greenhouse, Lever, Ashby, Workday, SmartRecruiters, Workable). Postings are parsed for role family, country, salary range where disclosed, work-location status, and named technologies. The full pipeline and methodology are documented in our research hub. Browse the full company directory or read the latest quarterly report, The AI-Era Hiring Index: 2026 Q2.
Salary, remote status, and technology coverage rely on structured extraction that we run asynchronously after each scrape. Coverage is climbing as the backfill catches up to the live corpus, which is why those three charts include sample-size disclosures.