Databricks
Large (~7,000)
Mistral AI
Small (~100)
Best For
Databricks
Best for: Data engineers who want strong comp and deep technical pedigree at scale
Mistral AI
Best for: Researchers who want to build open-weight models at a fast-moving European AI lab
Ratings
DatabricksMistral AI
4.1
4.0
Overall
3.9
3.6
Work-Life Balance
4.0
4.2
Culture & Values
4.3
4.0
Comp & Benefits
3.8
3.8
Senior Mgmt
3.9
3.5
Career Opps
👍 82% Recommend
👤 88% CEO Approval (Ali Ghodsi)
👍 80% Recommend
👤 85% CEO Approval (Arthur Mensch)
Culture Values
Databricks only
🌱 Learning & Growth💎 Strong Comp & Equity🌈 Diverse & Inclusive🎯 Direct Product Impact
Mistral AI only
🚀 Ship Fast & Iterate🤝 Flat Hierarchy🧩 Wears Many Hats🔓 Open Source Culture
Shared
⚙️ Engineering-Driven
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
Mistral AI
- Small team punching way above weight — Mixtral, Mistral Large
- European AI champion with strong research DNA
- Very early-stage — processes are minimal
- Paris-centric with limited remote options
Bottom Line
Databricks
Choose Databricks if you want elite data infrastructure work with strong equity — but brace for constant org changes.
Mistral AI
Choose Mistral if you want small-team impact at Europe's top AI lab — but expect minimal process and Paris-first culture.
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
Mistral AI — 142 jobs
💻 Engineering
47
🧠 ML / AI
17
💼 Sales / GTM
15
⚖️ Legal
10
👤 HR / People
8
📋 Product
6
💰 Finance
4
📣 Marketing
4
⚙️ Operations
4
📊 Data
1