| Role family | Postings | Median midpoint |
|---|---|---|
| engineering | 244 | $339,000 |
| support / ops | 85 | $247,000 |
| other | 70 | $302,250 |
| finance / legal | 43 | $247,000 |
| data / ml | 41 | $404,000 |
| product | 38 | $283,500 |
| sales | 32 | $247,000 |
| marketing | 31 | $282,000 |
| security | 26 | $355,500 |
| design | 21 | $277,500 |
| Title | Location | Low | High |
|---|---|---|---|
| Research Scientist / Research Engineer - Foundations, Search | San Francisco | $380,000 | $850,000 |
| Research Scientist / Research Engineer, Search - Knowledge Graphs | San Francisco | $380,000 | $850,000 |
| Research Scientist / Research Engineer, Search Integrity | San Francisco | $380,000 | $850,000 |
| Engineering Manager, MLE | San Francisco | $500,000 | $555,000 |
| Engineering Manager, Core Experimentation | Seattle | $510,000 | $536,000 |
| Principal Software Engineer, ChatGPT Education and Learning | San Francisco | $459,000 | $536,000 |
| Data Engineering Manager, Growth & Revenue | San Francisco | $459,000 | $536,000 |
| Principal Software Engineer, Productivity | San Francisco | $459,000 | $536,000 |
| Applied Data Science & Insights Leader - GTM Intelligence Solutions and Technical Su | San Francisco | $441,000 | $515,000 |
| Engineering Manager, Preparedness | San Francisco | $445,000 | $510,000 |
| Engineering Manager, Rosalind Workbench | San Francisco | $401,000 | $536,000 |
| Machine Learning Engineer, Monetization AI/ML | San Francisco | $381,000 | $555,000 |
Across 631 postings that state a pay range, the median midpoint is $307,500. The middle 50% sits between $247,750 and $366,000, and the 90th percentile is $418,500. All figures are annualised and converted to USD.
631 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 (244 postings, median $339,000). 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 631 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("openai")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).