Databricks vs OpenAI: who is hiring more, and for what
Side by side from both companies' own careers feeds, refreshed every 6 hours.
Databricks has 871 open roles to OpenAI's 835. OpenAI posted more in the last 30 days (284 against 164). Databricks's largest function is Go-to-market (40% of open roles); OpenAI's is Engineering (34%). On posted base ranges, OpenAI's median midpoint is $311k against $216k at Databricks. OpenAI is far more open to remote work (67% of roles against 8%).
| Databricks | OpenAI | |
|---|---|---|
| Open roles | 871 | 835 |
| New in 7 days | 39 | 93 |
| New in 30 days | 164 | 284 |
| Leadership seats open | 41 | 13 |
| Remote-friendly share | 8% | 67% |
| Research share of roles | 1% | 7% |
| Go-to-market share of roles | 40% | 21% |
| Median posted salary range (USD) | $182k to $250k | $252k to $370k |
| Research roles | 6 | 57 |
| Engineering roles | 346 | 290 |
| Infrastructure roles | 46 | 128 |
| Data roles | 11 | 23 |
| Product & Design roles | 39 | 24 |
| Go-to-market roles | 349 | 176 |
| Operations roles | 59 | 130 |
Newest at Databricks
- Candidate Experience Admin (6-month contract) Mountain View, California
- Customer Enablement Architect United States
- Delivery Solutions Architect - Digital Native Business United States
- Senior Scale Solution Engineer (Korean-speaking; English required) Tokyo, Japan
- Sr. Delivery Solutions Architect (Thailand) Singapore
Newest at OpenAI
- Platform Engineering Manager, Forward Deployed Engineering (FDE) San Francisco
- Data Center Hardware Quality & Reliability Engineer San Francisco
- Software Engineer, DevOps San Francisco
- Strategic Delivery Lead, Cyber Washington, DC
- Research Lead, Policy Communications San Francisco
Shares are fractions of open roles. Salary is the median of posted base ranges in USD. Full company scorecards, hiring velocity and closed roles for every company are in Pro. AI salaries · Hiring index.