| Role family | Postings | Median midpoint |
|---|---|---|
| support / ops | 12 | $148,423 |
| sales | 9 | $253,688 |
| engineering | 6 | $199,675 |
| marketing | 1 | $295,000 |
| other | 1 | $238,500 |
| data / ml | 1 | $217,800 |
| product | 1 | $207,375 |
| Title | Location | Low | High |
|---|---|---|---|
| Director, Sales | San Francisco, California | $414,000 | $494,500 |
| Director, Sales | Chicago, Illinois | $372,600 | $445,050 |
| Senior Director, GTM Enablement | San Francisco, California | $310,000 | $332,000 |
| Director of Solutions Marketing | San Francisco, California | $285,000 | $305,000 |
| Senior Manager, Forward Deployed Engineering | San Francisco, California | $252,000 | $280,000 |
| Senior Solutions Engineer | San Francisco, California | $231,300 | $276,275 |
| Senior Solutions Engineer- LATAM | NYC, Remote; San Francisco, California | $231,100 | $276,275 |
| Relationship Manager, Sr MidMarket | Chicago, Illinois | $226,000 | $251,000 |
| Senior Solutions Engineer | Chicago, Illinois | $208,170 | $248,650 |
| Senior Solutions Engineer- LATAM | Chicago, Illinois | $208,000 | $248,650 |
| Senior Forward Deployed Engineer | Chicago, Illinois; San Francisco, California | $215,000 | $237,000 |
| Forward Deployed Data Scientist | San Francisco, California | $206,600 | $229,000 |
Across 31 postings that state a pay range, the median midpoint is $188,415. The middle 50% sits between $150,350 and $233,455, and the 90th percentile is $295,000. All figures are annualised and converted to USD.
31 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.
support / ops is the largest family in this sample (12 postings, median $148,423). 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 31 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("intercom")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).