Cohere
Small (~500)
Databricks
Large (~7,000)
Best For
Cohere
Best for: Enterprise AI builders willing to trade stability for cutting-edge NLP research
Databricks
Best for: Data engineers who want strong comp and deep technical pedigree at scale
Ratings
CohereDatabricks
2.9
4.1
Overall
3.5
3.9
Work-Life Balance
3.0
4.0
Culture & Values
3.2
4.3
Comp & Benefits
2.3
3.8
Senior Mgmt
2.5
3.9
Career Opps
👍 48% Recommend
👤 55% CEO Approval (Aidan Gomez)
👍 82% Recommend
👤 88% CEO Approval (Ali Ghodsi)
Culture Values
Cohere only
🧩 Wears Many Hats
Databricks only
💎 Strong Comp & Equity🌈 Diverse & Inclusive🎯 Direct Product Impact
Shared
🌱 Learning & Growth⚙️ Engineering-Driven
Pros & Cons
Cohere
- Cutting-edge NLP research from Transformer co-author
- Enterprise AI focus gives real customer impact
- Frequent organizational restructuring has led to notable team turnover
- Internal communication from leadership could be more transparent
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
Bottom Line
Cohere
Choose Cohere if you want Transformer co-author pedigree and enterprise AI focus — but expect turbulence and lower ratings.
Databricks
Choose Databricks if you want elite data infrastructure work with strong equity — but brace for constant org changes.
Open Roles
Cohere — 123 jobs
💻 Engineering
33
💼 Sales / GTM
20
🧠 ML / AI
9
📋 Product
9
👤 HR / People
4
📣 Marketing
4
⚖️ Legal
3
⚙️ Operations
3
📊 Data
2
💰 Finance
1
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