Databricks
Large (~7,000)
OpenAI
Large (~3,500)
Best For
Databricks
Best for: Data engineers who want strong comp and deep technical pedigree at scale
OpenAI
Best for: Professionals interested in OpenAI
Ratings
DatabricksOpenAI
4.1
4.5
Overall
3.9
3.6
Work-Life Balance
4.0
4.6
Culture & Values
4.3
4.5
Comp & Benefits
3.8
4.3
Senior Mgmt
3.9
4.3
Career Opps
👍 82% Recommend
👤 88% CEO Approval (Ali Ghodsi)
👍 90% Recommend
👤 95% CEO Approval (CEO)
Culture Values
Databricks only
🌈 Diverse & Inclusive
OpenAI only
🚀 Ship Fast & Iterate🤖 Ethical AI / Safety
Shared
⚙️ Engineering-Driven🌱 Learning & Growth💎 Strong Comp & Equity🎯 Direct Product Impact
Pros & Cons
Databricks
- Engineers who built Spark, Delta Lake, MLflow — deep technical pedigree
- Strong compensation and equity packages consistently above market
- Hypergrowth means org changes are constant — teams restructure frequently
- Some legacy Spark-era tech debt that can slow down new features
OpenAI
- Cutting-edge frontier AI research with world-class colleagues
- Elite compensation — top-tier TC and equity packages
- High-intensity environment — long hours and intense pace are the norm
- Internal politics and rapid org changes as the company scales
Bottom Line
Databricks
Choose Databricks if you want elite data infrastructure work with strong equity — but brace for constant org changes.
OpenAI
OpenAI — check Glassdoor for detailed reviews.
Open Roles
Databricks — 789 jobs
💼 Sales / GTM
319
💻 Engineering
258
📋 Product
52
📊 Data
23
⚙️ Operations
17
🧠 ML / AI
15
💰 Finance
12
📣 Marketing
11
👤 HR / People
9
⚖️ Legal
5
🎨 Design
4
🎧 Support
1
OpenAI — 624 jobs
💻 Engineering
292
💼 Sales / GTM
48
📋 Product
32
🧠 ML / AI
31
📊 Data
27
📣 Marketing
23
⚙️ Operations
17
⚖️ Legal
15
🎨 Design
11
💰 Finance
11
👤 HR / People
8
🎧 Support
4