| Role family | Postings | Median midpoint |
|---|---|---|
| sales | 1 | $340,000 |
| engineering | 1 | $290,000 |
| security | 1 | $200,000 |
| data / ml | 1 | $165,000 |
| support / ops | 1 | $135,250 |
| Title | Location | Low | High |
|---|---|---|---|
| Director/Sr. Director, Sales | Remote - USA · Seattle, Washington / San Fra | $290,000 | $390,000 |
| Senior Engineering Manager, ML Platform | Remote - USA · Seattle, Washington / San Fra | $240,000 | $340,000 |
| Forward Deployed Engineer, Trust and Safety | Remote - USA · Seattle, Washington / San Fra | $170,000 | $230,000 |
| Machine Learning Engineer | San Francisco, California · Seattle, Washing | $140,000 | $190,000 |
| Technical Account Manager | Remote - USA | $115,000 | $155,500 |
Across 5 postings that state a pay range, the median midpoint is $200,000. The middle 50% sits between $165,000 and $290,000, and the 90th percentile is $320,000. All figures are annualised and converted to USD.
5 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.
sales is the largest family in this sample (1 postings, median $340,000). 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 5 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("sift")
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).