| Role family | Postings | Median midpoint |
|---|---|---|
| sales | 1 | $271,207 |
| product | 1 | $200,000 |
| engineering | 1 | $185,000 |
| other | 1 | $166,000 |
| marketing | 1 | $155,000 |
| Title | Location | Low | High |
|---|---|---|---|
| Enterprise Account Executive | London | $247,770 | $294,645 |
| Senior Product Manager-Ads | Palo Alto, CA | $190,000 | $210,000 |
| Solutions Architect | Remote | $160,000 | $210,000 |
| Engagement Manager | Remote | $127,000 | $205,000 |
| Senior Product Marketing Manager | Palo Alto or Bellevue | $140,000 | $170,000 |
Across 5 postings that state a pay range, the median midpoint is $185,000. The middle 50% sits between $166,000 and $200,000, and the 90th percentile is $242,724. All figures are annualised and converted to USD.
5 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 (1 postings, median $271,207). 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("typeface")
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).