Hiring signals, straight from the ATS.
Job postings from employers' own career systems, not job boards, for 96% of the S&P 500 and 2,000+ listed companies worldwide. Point-in-time, ticker-mapped, and delivered to your Snowflake.
- 06:00:56+ NEWCOFSenior Data Scientist
- 06:00:49− REMOVEDABNBStaff Engineer, Payments
- 06:00:42+ NEWDASHSenior Associate, CPG Co-Marketing
- 06:00:35+ NEWADBEPrincipal Product Marketing Manager
- 06:00:28− REMOVEDTMUSRetail Store Manager
- 06:00:21+ NEWPEPSupply Chain Planning Manager
- 06:00:14+ NEWDDOGDirector, Major Accounts
- 2,000+ listed companies
- 96% S&P 500
- 2,000+ listed companies
- 80+ platforms, no job boards
- ATS-direct
- 80+ platforms, no job boards
- Never revised or backfilled
- Point-in-time
- Never revised or backfilled
- On every row
- Ticker + GICS
- On every row
Collected directly from 80+ ATS, including
- Workday
- SuccessFactors
- Phenom
- Oracle Recruiting
- iCIMS
- SmartRecruiters
- Greenhouse
- Eightfold
- BambooHR
- TalentBrew
The mechanism
Cleaner inputs. Fewer artifacts in your backtest.
Most job-posting data is scraped from boards that re-syndicate other boards. We read the system that published the posting, then do the hard parts before it reaches you.
One posting, one record
Collected from the employer's own ATS, so the same role on five job boards and two reposts is still one row.
Point-in-time, never revised
Edits and removals are new observations with their own timestamps. Your backtest sees exactly what was knowable.
Ticker-mapped on arrival
Every employer carries a ticker, exchange, and GICS sector. Ambiguous matches get human review.
In your warehouse, not a portal
A live Snowflake share or Parquet files in your S3 bucket, refreshed every cycle. No ETL, no dashboard logins.
Ask it from your AI agent
An MCP server exposes coverage, postings, hiring velocity, peer comparisons, and universe screens to Claude and other agents, metered and scoped to your contract. Removals are de-noised, and new-posting counts exclude onboarding backfill.
Versus job-board feeds
Same question, different source.
The difference shows up in the places quant teams lose the most time: duplicates, stale listings, and history that quietly changes.
Coverage
The S&P 500, almost entirely.
Nearly every large-cap US employer, with Russell 2000 and international indexes growing weekly. Missing a company you need? Ask, and it goes into our discovery queue.
- of the S&P 500 (480+ of 503)
- 96%
- of the S&P 500 (480+ of 503)
- Listed companies
- 2,000+
- Listed companies
- Global indexes tracked
- 10
- Global indexes tracked
- ATS platforms
- 80+
- ATS platforms
- Industrials75/7975 of 79 covered
- Financials73/7673 of 76 covered
- Information Technology69/7369 of 73 covered
- Health Care59/5959 of 59 covered
- Consumer Discretionary45/4845 of 48 covered
- Consumer Staples34/3534 of 35 covered
- Utilities31/3131 of 31 covered
- Real Estate29/3129 of 31 covered
- Materials26/2626 of 26 covered
- Communication Services22/2322 of 23 covered
- Energy19/2219 of 22 covered
Constituents with flowing postings · as of Sep 2026
| Index | Covered |
|---|---|
| S&P 500US | 96%482/503 |
| S&P 400US | 92%369/400 |
| NASDAQ-100US | 95%96/101 |
| Dow 30US | 93%28/30 |
| Russell 2000US | 62%1,224/1,961 |
| EURO STOXX 50EU | 96%48/50 |
| FTSE 100UK | 88%88/100 |
| Nikkei 225JP | 73%165/225 |
| TSX 60CA | 32%19/60 |
| ASX 200AU | 30%59/200 |
Applications
What funds build with it.
01
NFP nowcasting
Week-over-week posting velocity across sectors as an early read on the BLS report.
02
Earnings previews
Per-ticker openings and removals ahead of results to anticipate headcount moves.
03
Sector rotation
Cyclical vs. defensive posting growth to gauge where the cycle is heading.
04
Labor tightness
Removal velocity and time-to-fill as proxies headline counts miss.
Why we built it
The best investment signals come from data collected at the source, not from repackaged third-party feeds. So we built the pipeline we wanted to buy.
Steven Pisani, Founder
10+ years in production data systems, starting at SIG
Public sources only
Derived exclusively from publicly available career pages. No MNPI.
DDQ ready
Due Diligence Questionnaire available for compliance review.
Mutual NDA as standard
All inquiry details treated as confidential.
Test it on your own stack.
A Snowflake share or sample files with the full schema and sample history.
No commitment · Response within 24 hours