| Role family | Postings | Median midpoint |
|---|---|---|
| data / ml | 12 | $250,750 |
| marketing | 11 | $175,750 |
| engineering | 10 | $226,250 |
| support / ops | 10 | $199,873 |
| other | 8 | $242,625 |
| finance / legal | 6 | $232,750 |
| security | 4 | $208,625 |
| product | 3 | $261,250 |
| sales | 3 | $142,300 |
| design | 2 | $237,500 |
| Title | Location | Low | High |
|---|---|---|---|
| Strategy & Analytics Senior Director, Discovery | New York City, NY; San Francisco, CA | $285,500 | $392,500 |
| Principal Product Manager, Financial Products | New York City, NY; San Francisco, CA | $260,000 | $357,500 |
| Head of Paid Marketing | New York City, NY | $248,000 | $341,000 |
| Head of Paid Marketing | San Francisco, CA | $248,000 | $341,000 |
| Staff Applied AI/ML Scientist | San Francisco, CA | $246,500 | $339,000 |
| Staff Applied Scientist, LTV Modeling | New York City, NY; San Francisco, CA | $246,500 | $339,000 |
| Staff Data Infrastructure Engineer | New York City, NY; San Francisco, CA | $246,500 | $339,000 |
| Strategy & Analytics Director | New York City, NY; San Francisco, CA | $237,000 | $325,500 |
| Head of Finance Systems & Data | New York City, NY; San Francisco, CA | $236,000 | $324,500 |
| Senior Engineering Manager - Discovery | San Francisco, CA | $231,000 | $318,000 |
| Staff Engineer - Experimentation Platform | San Francisco, CA | $231,000 | $318,000 |
| Staff Product Engineer - Search FX (Discovery Experience) | New York City, NY; San Francisco, CA | $231,000 | $318,000 |
Across 69 postings that state a pay range, the median midpoint is $232,750. The middle 50% sits between $190,000 and $256,500, and the 90th percentile is $283,550. All figures are annualised and converted to USD.
69 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.
data / ml is the largest family in this sample (12 postings, median $250,750). 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 69 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("faire")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).