| Role family | Postings | Median midpoint |
|---|---|---|
| engineering | 4 | $190,000 |
| finance / legal | 3 | $260,000 |
| product | 2 | $239,250 |
| support / ops | 2 | $207,500 |
| security | 1 | $287,500 |
| other | 1 | $264,500 |
| design | 1 | $264,500 |
| data / ml | 1 | $190,000 |
| sales | 1 | $160,000 |
| Title | Location | Low | High |
|---|---|---|---|
| Senior Compliance Director | New York, New York, United States, San Franc | $250,000 | $325,000 |
| Founding Product Manager, Agentic Commerce | San Francisco, California or New York, New Y | $230,000 | $300,000 |
| Senior Product & Privacy Counsel | New York, NY | $250,000 | $280,000 |
| Head of Card Product | San Francisco | $229,000 | $300,000 |
| Head of Design | San Francisco | $229,000 | $300,000 |
| Head of Corporate Development | San Francisco, CA, New York, NY | $220,000 | $300,000 |
| Director, Strategic Finance & Operations | United States - Remote | $220,000 | $250,000 |
| Senior Product Manager, Onchain | United States - Remote | $186,000 | $241,000 |
| Senior Backend Engineer | United States - Remote | $180,000 | $200,000 |
| Senior Backend Engineer | San Francisco, CA | $180,000 | $200,000 |
| Senior Backend Engineer | New York, NY | $180,000 | $200,000 |
| Senior Data Engineer | San Francisco, CA, New York, NY | $180,000 | $200,000 |
Across 16 postings that state a pay range, the median midpoint is $201,750. The middle 50% sits between $187,500 and $264,500, and the 90th percentile is $265,000. All figures are annualised and converted to USD.
16 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.
engineering is the largest family in this sample (4 postings, median $190,000). 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 16 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("mesh")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).