| Role family | Postings | Median midpoint |
|---|---|---|
| sales | 5 | $161,625 |
| support / ops | 3 | $200,813 |
| product | 2 | $168,449 |
| data / ml | 1 | $230,631 |
| engineering | 1 | $213,760 |
| other | 1 | $179,454 |
| design | 1 | $116,550 |
| Title | Location | Low | High |
|---|---|---|---|
| VP, Technology & Data Partnerships | San Francisco, California, United States | $258,165 | $340,642 |
| Staff Security Engineer - SecOps & Threats | United States, Remote | $231,089 | $265,931 |
| Sr. Machine Learning Engineer | San Francisco, California, United States | $200,350 | $260,913 |
| Product Lead, Predictive Platform | United States, Remote | $188,998 | $255,863 |
| Sr. Software Engineer | San Francisco, California, United States | $179,400 | $248,120 |
| Sr. Manager, R&D Operations | United States, Remote | $162,821 | $238,804 |
| Principal Competitive Intelligence Manager | United States, Remote | $145,503 | $213,404 |
| Sr. Manager, GTM Engineering | United States, Remote | $150,081 | $180,852 |
| Senior Account Executive | United States, Remote | $117,000 | $206,250 |
| Senior Advertising Account Executive | United States, Remote | $120,285 | $176,418 |
| UX Researcher | Austin, Texas, United States | $94,500 | $138,600 |
| Senior Digital Program Manager | United States, Remote | $92,812 | $136,125 |
Across 14 postings that state a pay range, the median midpoint is $172,460. The middle 50% sits between $124,500 and $220,262, and the 90th percentile is $243,146. All figures are annualised and converted to USD.
14 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 (5 postings, median $161,625). 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 14 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("6sense")
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).