| Role family | Postings | Median midpoint |
|---|---|---|
| sales | 3 | $121,450 |
| engineering | 1 | $121,450 |
| support / ops | 1 | $116,215 |
| Title | Location | Low | High |
|---|---|---|---|
| Enterprise Account Executive - California | Remote | $112,000 | $170,000 |
| Developer Relations Engineer - USA | Remote | $102,900 | $140,000 |
| Salesforce Lead - USA | Remote | $102,900 | $140,000 |
| Account Executive - North Eastern USA | Remote | $98,000 | $142,000 |
| Partner Manager - USA | Remote | $92,430 | $140,000 |
Across 5 postings that state a pay range, the median midpoint is $121,450. The middle 50% sits between $120,000 and $121,450, and the 90th percentile is $133,180. 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 $121,450). 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-0.1.2-py3-none-any.whl
import salaryranges
salaryranges.by_company("storyblok")
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).