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
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 — 842 jobs
💼 Sales / GTM
353
💻 Engineering
284
📋 Product
39
📣 Marketing
34
📊 Data
22
👤 HR / People
12
🧠 ML / AI
12
⚙️ Operations
11
🎨 Design
6
💰 Finance
5
⚖️ Legal
5
Mistral AI — 150 jobs
💻 Engineering
51
💼 Sales / GTM
14
🧠 ML / AI
13
⚖️ Legal
11
📋 Product
8
👤 HR / People
7
📣 Marketing
6
⚙️ Operations
4
💰 Finance
3
📊 Data
2
🎨 Design
2
Summary
Databricks scores 4.1/5.0 on Glassdoor with a 3.9 work-life balance rating. Mistral AI scores 4.0/5.0 overall with a 3.6 WLB. That’s a 0.1-point gap on overall satisfaction.
Both companies share these culture values: Engineering-Driven. Databricks also emphasizes Learning & Growth, Strong Comp & Equity, Diverse & Inclusive, Direct Product Impact. Mistral AI also emphasizes Ship Fast & Iterate, Flat Hierarchy, Wears Many Hats, Open Source.
On the hiring front, Databricks has 842 open roles and Mistral AI has 150 open roles.