| Role family | Postings | Median midpoint |
|---|---|---|
| sales | 33 | $150,000 |
| support / ops | 25 | $155,000 |
| engineering | 21 | $187,000 |
| product | 13 | $220,626 |
| finance / legal | 9 | $149,500 |
| other | 7 | $129,000 |
| security | 6 | $187,000 |
| marketing | 4 | $141,500 |
| data / ml | 2 | $205,500 |
| design | 1 | $154,000 |
| Title | Location | Low | High |
|---|---|---|---|
| VP & GM, Public Sector | Washington DC | $200,000 | $450,000 |
| Principal Security Engineer | New York City; Seattle; United States | $162,000 | $439,000 |
| Senior Staff Product Manager, Query | United States | $178,000 | $350,000 |
| Senior Director Product Management, Growth | United States | $168,000 | $330,000 |
| Senior Lead, Product Management | Palo Alto | $162,000 | $319,000 |
| VP, Corporate Controller | Palo Alto; San Francisco | $154,000 | $303,000 |
| Senior Engineering Manager, Storage Execution | Ontario | $191,000 | $265,000 |
| Vice President, Global Communications | United States | $152,000 | $298,000 |
| Senior Engineering Manager, Storage Execution | United States | $121,000 | $327,000 |
| Staff Engineer, Atlas Agent Engine | New York City | $121,000 | $327,000 |
| Staff Product Manager, AI Builder Experience | United States | $151,000 | $297,000 |
| Staff Product Manager, Atlas Infinite | United States | $151,000 | $297,000 |
Across 121 postings that state a pay range, the median midpoint is $163,000. The middle 50% sits between $148,500 and $187,000, and the 90th percentile is $224,000. All figures are annualised and converted to USD.
121 of the postings we read from greenhouse 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.
sales is the largest family in this sample (33 postings, median $150,000). 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 121 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-0.1.2-py3-none-any.whl
import salaryranges
salaryranges.by_company("mongodb")
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).