Toast, Inc. salaries
Median $172,200 across 64 filings for IT roles, Jul 2023 to Jun 2026.
Calculate take-home pay on the calculator pageMedian
$172,200
Middle 50%
$145,700–$202,200
Filings
64
- Median is 35% above the median for all IT roles ($128,000).
- Most filings are wage Level IV (50%).
- Software Developers has the most filings (40), with a median of $164,400.
Salaries by role
| Role | Filings | Median |
|---|---|---|
| Software Developers | 40 | $164,400 |
| Computer Occupations, All Other | 13 | $188,900 |
| Data Scientists | 6 | $186,500 |
| Information Security Analysts | 3 | $187,000 |
| Database Administrators | 1 | $132,900 |
| Software Quality Assurance Analysts and Testers | 1 | $130,300 |
Top metros
| Metro | Filings | Median |
|---|---|---|
| Dallas-Fort Worth-Arlington, TX | 6 | $200,000 |
| San Francisco-Oakland-Fremont, CA | 6 | $222,000 |
| Chicago-Naperville-Elgin, IL-IN | 5 | $160,000 |
| Seattle-Tacoma-Bellevue, WA | 5 | $115,600 |
| New York-Newark-Jersey City, NY-NJ | 4 | $161,100 |
| Austin-Round Rock-San Marcos, TX | 3 | $233,200 |
| Los Angeles-Long Beach-Anaheim, CA | 3 | $182,500 |
| Miami-Fort Lauderdale-West Palm Beach, FL | 3 | $183,300 |
| Detroit-Warren-Dearborn, MI | 2 | $159,100 |
| Portland-Vancouver-Hillsboro, OR-WA | 2 | $154,900 |
Level I 17%
Level II 13%
Level III 20%
Level IV 50%
Take-home pay
| Gross | $172,200 |
| Federal income tax | $30,100 |
| Social Security | $10,700 |
| Medicare | $2,500 |
| State income tax | $11,900 |
| Health insurance (employee share) | $1,400 |
| Take-home per year | $115,600 |
| Take-home per month | $9,600 |
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.