Dropbox, Inc. salaries
Median $167,100 across 116 filings for IT roles, Jul 2023 to Jun 2026.
Calculate take-home pay on the calculator pageMedian
$167,100
Middle 50%
$147,300–$192,400
Filings
116
- Median is 31% above the median for all IT roles ($128,000).
- Most filings are wage Level II (61%).
- Software Developers has the most filings (87), with a median of $168,300.
Salaries by role
| Role | Filings | Median |
|---|---|---|
| Software Developers | 87 | $168,300 |
| Data Scientists | 16 | $154,700 |
| Computer Occupations, All Other | 7 | $186,000 |
| Information Security Analysts | 3 | $202,100 |
| Database Architects | 2 | $187,500 |
| Software Quality Assurance Analysts and Testers | 1 | $119,900 |
Top metros
| Metro | Filings | Median |
|---|---|---|
| San Francisco-Oakland-Fremont, CA | 31 | $191,300 |
| Seattle-Tacoma-Bellevue, WA | 30 | $191,300 |
| New York-Newark-Jersey City, NY-NJ | 19 | $168,300 |
| Austin-Round Rock-San Marcos, TX | 7 | $150,700 |
| Washington-Arlington-Alexandria, DC-VA-MD-WV | 4 | $141,600 |
| Boston-Cambridge-Newton, MA-NH | 2 | $133,700 |
| Los Angeles-Long Beach-Anaheim, CA | 2 | $172,200 |
| Raleigh-Cary, NC | 2 | $147,600 |
| Ann Arbor, MI | 1 | $92,500 |
| Atlanta-Sandy Springs-Roswell, GA | 1 | $157,800 |
Level I 10%
Level II 61%
Level III 3%
Level IV 21%
Not stated 4%
Take-home pay
| Gross | $167,100 |
| Federal income tax | $28,800 |
| Social Security | $10,400 |
| Medicare | $2,400 |
| State income tax | $11,500 |
| Health insurance (employee share) | $1,400 |
| Take-home per year | $112,600 |
| Take-home per month | $9,400 |
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.