Procore Technologies, Inc. salaries
Median $160,700 across 65 filings for IT roles, Jul 2023 to Jun 2026.
Calculate take-home pay on the calculator pageMedian
$160,700
Middle 50%
$147,200–$185,600
Filings
65
- Median is 26% above the median for all IT roles ($128,000).
- Most filings are wage Level IV (54%).
- Software Developers has the most filings (42), with a median of $174,500.
Salaries by role
| Role | Filings | Median |
|---|---|---|
| Software Developers | 42 | $174,500 |
| Data Scientists | 8 | $145,400 |
| Database Administrators | 6 | $147,200 |
| Computer Occupations, All Other | 4 | $155,000 |
| Database Architects | 3 | $196,700 |
| Software Quality Assurance Analysts and Testers | 2 | $144,500 |
Top metros
| Metro | Filings | Median |
|---|---|---|
| Austin-Round Rock-San Marcos, TX | 27 | $155,000 |
| Dallas-Fort Worth-Arlington, TX | 5 | $147,200 |
| San Jose-Sunnyvale-Santa Clara, CA | 5 | $155,000 |
| New York-Newark-Jersey City, NY-NJ | 3 | $182,500 |
| Raleigh-Cary, NC | 3 | $193,100 |
| San Francisco-Oakland-Fremont, CA | 3 | $196,700 |
| Santa Maria-Santa Barbara, CA | 3 | $247,900 |
| Atlanta-Sandy Springs-Roswell, GA | 2 | $161,400 |
| Los Angeles-Long Beach-Anaheim, CA | 2 | $139,600 |
| Seattle-Tacoma-Bellevue, WA | 2 | $183,900 |
Level I 3%
Level II 17%
Level III 17%
Level IV 54%
Not stated 9%
Take-home pay
| Gross | $160,700 |
| Federal income tax | $27,300 |
| Social Security | $10,000 |
| Medicare | $2,300 |
| State income tax | $0 |
| Health insurance (employee share) | $1,400 |
| Take-home per year | $119,700 |
| Take-home per month | $10,000 |
Tax year 2026, single filer.
Local taxes, 401(k), and filing status other than single are not included.
Tax rates checked against IRS, Tax Foundation, and other original sources on Oct 28, 2026.
This is an estimate. Actual taxes depend on your situation. Consult a tax professional before filing.
LCA filings are not hires.
Filed wages are offered base pay, not total compensation.
We did not independently verify the source files. Deduplication and filtering can cause differences from the original data.