| Role family | Postings | Median midpoint |
|---|---|---|
| other | 1 | $220,500 |
| product | 1 | $202,000 |
| data / ml | 1 | $199,000 |
| marketing | 1 | $181,000 |
| finance / legal | 1 | $175,000 |
| support / ops | 1 | $144,500 |
| Title | Location | Low | High |
|---|---|---|---|
| Lead User Acquisition Manager | United States | $205,000 | $236,000 |
| Lead Technical Program Manager | United States | $174,000 | $230,000 |
| Lead Machine Learning Scientist | United States | $174,000 | $224,000 |
| Organic Growth & Discovery Lead (SEO/AEO) | United States | $158,000 | $204,000 |
| Senior Product Manager, Financial Data Intelligence | United States | $150,000 | $200,000 |
| Sr. Member Experience Manager | United States | $126,000 | $163,000 |
Across 6 postings that state a pay range, the median midpoint is $190,000. The middle 50% sits between $176,500 and $201,250, and the 90th percentile is $211,250. All figures are annualised and converted to USD.
6 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.
other is the largest family in this sample (1 postings, median $220,500). 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 6 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("dave")
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).