| Role family | Postings | Median midpoint |
|---|---|---|
| finance / legal | 16 | $186,250 |
| engineering | 15 | $211,500 |
| other | 9 | $205,500 |
| sales | 9 | $195,000 |
| product | 7 | $207,500 |
| support / ops | 7 | $210,000 |
| marketing | 5 | $230,500 |
| data / ml | 3 | $243,000 |
| design | 3 | $215,000 |
| security | 3 | $175,000 |
| Title | Location | Low | High |
|---|---|---|---|
| Principal Product Manager, AI-Native Merchant Experiences | San Francisco | $330,000 | $462,000 |
| Staff Machine Learning Engineer, Financial Products | San Francisco | $297,000 | $401,000 |
| Member of Technical Staff | San Francisco | $227,500 | $401,000 |
| Manager, Global Mobility | San Francisco | $250,000 | $320,000 |
| Staff Engineer - Financial Products | Chicago | $235,000 | $317,000 |
| Head of Demand Generation, North America | New York; San Francisco | $235,000 | $310,000 |
| Engineering Manager, Capital | San Francisco | $250,000 | $293,000 |
| Machine Learning Engineering Manager, Credit & Underwriting | San Francisco | $212,000 | $293,000 |
| Senior Product Experience Designer, Developer Experience | San Francisco | $201,600 | $302,400 |
| Senior Product Manager, Capital | San Francisco | $201,600 | $302,400 |
| Engineering Manager - Identity and Access Management | San Francisco | $198,000 | $293,000 |
| Engineering Manager, Machine Learning - Personalize Intelligence | Chicago | $207,000 | $279,000 |
Across 77 postings that state a pay range, the median midpoint is $205,000. The middle 50% sits between $175,000 and $229,000, and the 90th percentile is $252,200. All figures are annualised and converted to USD.
77 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.
finance / legal is the largest family in this sample (16 postings, median $186,250). 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 77 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("adyen")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).