| Role family | Postings | Median midpoint |
|---|---|---|
| engineering | 21 | $250,000 |
| support / ops | 7 | $185,000 |
| sales | 4 | $255,000 |
| other | 3 | $295,000 |
| marketing | 3 | $192,500 |
| product | 1 | $325,000 |
| finance / legal | 1 | $275,000 |
| security | 1 | $210,000 |
| data / ml | 1 | $200,000 |
| Title | Location | Low | High |
|---|---|---|---|
| Regional Director | New York · San Francisco / London | $400,000 | $400,000 |
| Inference Engineering and Product Lead | San Francisco | $300,000 | $350,000 |
| Systems Engineering Manager | New York | $275,000 | $330,000 |
| Account Executive - Enterprise | New York · San Francisco / London | $300,000 | $300,000 |
| Account Manager | San Francisco · New York | $300,000 | $300,000 |
| Head of IT | New York | $270,000 | $320,000 |
| Member of Technical Staff - ML Performance | New York · San Francisco | $200,000 | $350,000 |
| Member of Technical Staff - Storage | Stockholm · New York | $250,000 | $300,000 |
| Member of Technical Staff - Machines | San Francisco · New York | $250,000 | $300,000 |
| Senior Commercial Counsel | New York | $250,000 | $300,000 |
| Member of Technical Staff - Storage (Stockholm) | Stockholm | $250,000 | $300,000 |
| Member of Technical Staff - Systems | New York · San Francisco | $220,000 | $300,000 |
Across 42 postings that state a pay range, the median midpoint is $225,000. The middle 50% sits between $200,000 and $271,250, and the 90th percentile is $299,500. All figures are annualised and converted to USD.
42 of the postings we read from ashby carried a range on the day we measured (2026-10-24). The rest did not publish pay at all, so they are not in these numbers.
engineering is the largest family in this sample (21 postings, median $250,000). The table above lists every family we saw and the highest individual ranges.
No. This is what the company itself published in its job postings, normalised to a yearly USD range. Real offers vary by level, location and equity, and many postings omit pay entirely.
These 42 rows are part of one CSV covering every company we read: the full dataset (salary-ranges-full.csv) under CC BY 4.0. Or pull it into Python:
pip install https://sjdfi0wjvosdju9.github.io/packages/salaryranges-0.1.1-py3-none-any.whl
import salaryranges
salaryranges.by_company("modal")If you want the same numbers refreshed on a schedule, including the postings that never publish pay, that is the paid part: ATS Job Feed ($0.0015 per returned job).