| Role family | Postings | Median midpoint |
|---|---|---|
| finance / legal | 5 | $189,000 |
| product | 5 | $192,500 |
| engineering | 3 | $185,250 |
| design | 2 | $220,000 |
| marketing | 2 | $153,000 |
| support / ops | 2 | $147,375 |
| data / ml | 1 | $235,000 |
| Title | Location | Low | High |
|---|---|---|---|
| Engineering Manager, Query Service | San Francisco, US (Hybrid) | $279,000 | $377,000 |
| Staff Design Engineer | San Francisco, US (Remote) | $236,000 | $300,000 |
| Senior Finance Manager, Product & Engineering | San Francisco, US (Hybrid) | $191,000 | $287,000 |
| Senior Data Scientist, AI Product Insights | San Francisco, US (Hybrid) | $216,000 | $254,000 |
| Product Manager | San Francisco, US (Hybrid) | $175,000 | $210,000 |
| Product Manager - Data | San Francisco, US (Hybrid) | $175,000 | $210,000 |
| Product Manager - Platform | San Francisco, US (Hybrid) | $175,000 | $210,000 |
| Senior Strategic Finance Associate, G&A | San Francisco, US (Hybrid) | $160,500 | $217,500 |
| Senior Strategic Finance Associate, G&A | New York City, US (Hybrid) | $160,500 | $217,500 |
| Software Engineer, Distributed Systems | San Francisco, US (Hybrid) | $157,500 | $213,000 |
| Interactive Designer | San Francisco, US (Hybrid) | $158,000 | $186,000 |
| Strategic Finance Associate, GTM | New York City, US (Hybrid) | $138,000 | $187,000 |
Across 20 postings that state a pay range, the median midpoint is $178,625. The middle 50% sits between $153,000 and $192,500, and the 90th percentile is $241,900. All figures are annualised and converted to USD.
20 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.
finance / legal is the largest family in this sample (5 postings, median $189,000). 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 20 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("mixpanel")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).