| Role family | Postings | Median midpoint |
|---|---|---|
| sales | 91 | $102,000 |
| engineering | 55 | $140,400 |
| support / ops | 31 | $88,000 |
| marketing | 20 | $130,500 |
| security | 12 | $149,000 |
| finance / legal | 10 | $81,200 |
| data / ml | 8 | $184,000 |
| product | 5 | $169,000 |
| design | 2 | $133,100 |
| other | 1 | $111,000 |
| Title | Location | Low | High |
|---|---|---|---|
| VP, Product Engineering | New York City | $284,762 | $284,762 |
| Staff Software Engineer, User Targeting | Toronto | $220,000 | $220,000 |
| Director, Applied AI Architects | New York City | $193,000 | $193,000 |
| Engineering Manager, Landing Pages | Toronto | $191,459 | $191,459 |
| Director, CX Business Systems | Toronto | $190,000 | $190,000 |
| Engineering Manager, Landing Pages | New York City | $188,641 | $188,641 |
| Engineering Manager, Landing Pages | Chicago | $188,641 | $188,641 |
| Engineering Manager, Landing Pages | San Francisco | $188,641 | $188,641 |
| Engineering Manager, Landing Pages | Austin | $188,641 | $188,641 |
| Senior Software Engineer II, Data Lakehouse | Toronto | $186,838 | $186,838 |
| Senior Software Engineer II, Decisioning Studio Integrations Team | Toronto | $186,838 | $186,838 |
| Director, CX Business Systems | San Francisco | $184,000 | $184,000 |
Across 235 postings that state a pay range, the median midpoint is $121,000. The middle 50% sits between $88,000 and $153,815, and the 90th percentile is $184,000. All figures are annualised and converted to USD.
235 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 (91 postings, median $102,000). 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 235 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("braze")
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).