| Role family | Postings | Median midpoint |
|---|---|---|
| sales | 3 | $75,000 |
| marketing | 1 | $170,000 |
| engineering | 1 | $60,570 |
| Title | Location | Low | High |
|---|---|---|---|
| Strategic Account Executive | Austin, Texas, United States; California, Un | $200,000 | $250,000 |
| Senior Product Marketing Manager - Platform & Data | Austin, Texas, United States; Chicago, Illin | $150,000 | $190,000 |
| Account Executive, Commercial | New York, New York, United States; North Car | $70,000 | $80,000 |
| Business Development Representative | Austin, Texas, United States; Dallas, Texas, | $60,000 | $67,000 |
| Software Engineer | Lisbon, Portugal | $53,840 | $67,300 |
Across 5 postings that state a pay range, the median midpoint is $75,000. The middle 50% sits between $63,500 and $170,000, and the 90th percentile is $203,000. 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 (3 postings, median $75,000). 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("complyadvantage")
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).