Databricks
Large (~7,000)
Wayve
Mid (~850)
Best For
Databricks
Best for: Data engineers who want strong comp and deep technical pedigree at scale
Wayve
Best for: ML and robotics engineers excited by embodied AI who want to work at the frontier of autonomous driving with a high-caliber research team in London
Ratings
DatabricksWayve
4.1
4.4
Overall
3.9
3.9
Work-Life Balance
4.0
4.5
Culture & Values
4.3
4.4
Comp & Benefits
3.8
4.2
Senior Mgmt
3.9
4.2
Career Opps
👍 82% Recommend
👤 88% CEO Approval (Ali Ghodsi)
👍 88% Recommend
👤 92% CEO Approval (Amar Shah)
Culture Values
Databricks only
💎 Strong Comp & Equity
Wayve only
🚀 Ship Fast & Iterate
Shared
⚙️ Engineering-Driven🌱 Learning & Growth🌈 Diverse & Inclusive🎯 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
Wayve
- Great culture — smart, friendly people with a supportive and inclusive familial bond
- Immense creative freedom and autonomy; founders are humble and open to being challenged
- Career progression framework is unclear — salaries and promotions feel arbitrary
- Very ambitious demands create vulnerability to burnout; processes built on the fly
Bottom Line
Databricks
Choose Databricks if you want elite data infrastructure work with strong equity — but brace for constant org changes.
Wayve
One of Europe's top deep-tech companies with excellent Glassdoor ratings (4.4) and a cutting-edge AV research environment — but expect an intense pace and most roles are London-based.
Open Roles
Databricks — 845 jobs
💼 Sales / GTM
356
💻 Engineering
272
📋 Product
47
📣 Marketing
31
📊 Data
21
⚙️ Operations
18
🧠 ML / AI
11
👤 HR / People
10
💰 Finance
8
🎨 Design
6
⚖️ Legal
5
🎧 Support
1
Wayve — 83 jobs
💻 Engineering
47
🧠 ML / AI
6
⚙️ Operations
6
📋 Product
5
📊 Data
3
⚖️ Legal
2
👤 HR / People
1
📣 Marketing
1
Summary
Databricks scores 4.1/5.0 on Glassdoor with a 3.9 work-life balance rating. Wayve scores 4.4/5.0 overall with a 3.9 WLB. That’s a 0.3-point gap on overall satisfaction.
Both companies share these culture values: Engineering-Driven, Learning & Growth, Diverse & Inclusive, Direct Product Impact. Databricks also emphasizes Strong Comp & Equity. Wayve also emphasizes Ship Fast & Iterate.
On the hiring front, Databricks has 845 open roles and Wayve has 83 open roles.