| Role family | Postings | Median midpoint |
|---|---|---|
| engineering | 20 | $249,500 |
| finance / legal | 9 | $200,000 |
| sales | 9 | $237,500 |
| support / ops | 7 | $195,500 |
| product | 6 | $260,000 |
| security | 6 | $260,000 |
| other | 5 | $166,500 |
| design | 4 | $205,000 |
| marketing | 4 | $192,000 |
| data / ml | 1 | $260,000 |
| Title | Location | Low | High |
|---|---|---|---|
| Head of Solutions Architecture, Startups | Hybrid - San Francisco, New York City, Austi | $382,000 | $485,000 |
| Head of Professional Services | Hybrid - San Francisco, New York City, Austi | $300,000 | $370,000 |
| Member of Technical Staff, Finance Data | Hybrid - San Francisco, New York City | $264,000 | $396,000 |
| Strategic Cloud Partnerships Lead | Hybrid - San Francisco | $297,000 | $362,000 |
| Account Executive, Majors (APAC) | Hybrid - Sydney | $272,222 | $367,640 |
| Account Executive, Majors- Install Base (APAC) | Hybrid - Sydney | $272,222 | $367,640 |
| Senior Manager, Solutions Architecture | Hybrid - Sydney | $280,000 | $350,000 |
| Account Executive, Majors | Hybrid - London | $267,859 | $361,610 |
| Product Strategy & Operations | Hybrid - San Francisco | $232,000 | $348,000 |
| Software Engineer - Data Platform | Remote - United States | $232,000 | $348,000 |
| Engineering Manager - Next.js | Hybrid - San Francisco, New York City | $230,000 | $340,000 |
| Senior Legal Counsel, Product | Hybrid - San Francisco | $270,000 | $300,000 |
Across 71 postings that state a pay range, the median midpoint is $245,000. The middle 50% sits between $195,250 and $260,000, and the 90th percentile is $314,735. All figures are annualised and converted to USD.
71 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.
engineering is the largest family in this sample (20 postings, median $249,500). 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 71 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("vercel")
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).