| Role family | Postings | Median midpoint |
|---|---|---|
| engineering | 32 | $247,500 |
| support / ops | 18 | $162,500 |
| sales | 16 | $212,500 |
| other | 11 | $200,000 |
| marketing | 6 | $195,000 |
| product | 5 | $247,500 |
| data / ml | 4 | $230,000 |
| finance / legal | 4 | $233,250 |
| design | 3 | $215,000 |
| security | 2 | $200,000 |
| Title | Location | Low | High |
|---|---|---|---|
| Manager, Strategic Sales | San Francisco | $320,000 | $360,000 |
| Sales Manager - AI Native (San Francisco) | San Francisco | $300,000 | $340,000 |
| Account Executive - Enterprise | New York | $300,000 | $330,000 |
| Account Executive - Enterprise | San Francisco | $300,000 | $330,000 |
| Forward Deployed Engineer (Training) | San Francisco · New York | $200,000 | $400,000 |
| Account Executive - Strategic | San Francisco | $270,000 | $300,000 |
| Account Executive - Strategic | New York | $270,000 | $300,000 |
| Product Manager, Inference Platform | San Francisco · New York | $235,000 | $335,000 |
| Capacity Manager, Programs | San Francisco | $265,000 | $285,000 |
| Software Engineer - GPU Kernels | San Francisco · Toronto / New York / Montrea | $180,000 | $360,000 |
| Software Engineer - Inference Performance | San Francisco · Toronto / New York / Montrea | $180,000 | $360,000 |
| Software Engineer - Inference Platform | San Francisco · Toronto / New York / Montrea | $180,000 | $360,000 |
Across 101 postings that state a pay range, the median midpoint is $230,000. The middle 50% sits between $195,000 and $247,500, and the 90th percentile is $270,000. All figures are annualised and converted to USD.
101 of the postings we read from ashby 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 (32 postings, median $247,500). 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 101 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("baseten")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).