Coupa Software, Inc. salaries
Median $164,500 across 65 filings for IT roles, Jul 2023 to Jun 2026.
Calculate take-home pay on the calculator pageMedian
$164,500
Middle 50%
$145,000–$190,500
Filings
65
- Median is 29% above the median for all IT roles ($128,000).
- Most filings are wage Level IV (40%).
- Software Developers has the most filings (31), with a median of $169,800.
Salaries by role
| Role | Filings | Median |
|---|---|---|
| Software Developers | 31 | $169,800 |
| Computer Occupations, All Other | 20 | $165,300 |
| Software Quality Assurance Analysts and Testers | 7 | $160,000 |
| Data Scientists | 3 | $150,800 |
| Network and Computer Systems Administrators | 2 | $82,400 |
| Computer Systems Analysts | 1 | $151,400 |
| Database Administrators | 1 | $143,200 |
Top metros
| Metro | Filings | Median |
|---|---|---|
| San Francisco-Oakland-Fremont, CA | 35 | $178,800 |
| Cincinnati, OH-KY-IN | 5 | $140,000 |
| New York-Newark-Jersey City, NY-NJ | 3 | $151,100 |
| Phoenix-Mesa-Chandler, AZ | 3 | $134,900 |
| Miami-Fort Lauderdale-West Palm Beach, FL | 2 | $159,600 |
| Reno, NV | 2 | $82,400 |
| Ann Arbor, MI | 1 | $150,800 |
| Atlanta-Sandy Springs-Roswell, GA | 1 | $165,000 |
| Austin-Round Rock-San Marcos, TX | 1 | $183,700 |
| Beaumont-Port Arthur, TX | 1 | $155,000 |
Level II 22%
Level III 22%
Level IV 40%
Not stated 17%
Take-home pay
| Gross | $164,500 |
| Federal income tax | $28,200 |
| Social Security | $10,200 |
| Medicare | $2,400 |
| State income tax | $11,200 |
| Health insurance (employee share) | $1,400 |
| Take-home per year | $111,000 |
| Take-home per month | $9,300 |
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.