Databricks
Large (~7,000)
Vercel
Mid (~600)
Best For
Databricks
Best for: Data engineers who want strong comp and deep technical pedigree at scale
Vercel
Best for: Frontend engineers who want to shape the future of web infrastructure
Ratings
DatabricksVercel
4.1
3.9
Overall
3.9
3.4
Work-Life Balance
4.0
3.8
Culture & Values
4.3
4.0
Comp & Benefits
3.8
3.5
Senior Mgmt
3.9
3.5
Career Opps
👍 82% Recommend
👤 88% CEO Approval (Ali Ghodsi)
👍 72% Recommend
👤 78% CEO Approval (Guillermo Rauch)
Culture Values
Databricks only
🌱 Learning & Growth💎 Strong Comp & Equity🌈 Diverse & Inclusive
Vercel only
🚀 Ship Fast & Iterate🌐 Remote-Friendly🔓 Open Source Culture
Shared
⚙️ Engineering-Driven🎯 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
Vercel
- Building the future of web infrastructure — Next.js, Turbopack, edge runtime
- Remote-first with strong async culture — true flexibility
- High expectations and fast pace can lead to burnout
- Leadership sets very high standards — the pace isn't for everyone
Bottom Line
Databricks
Choose Databricks if you want elite data infrastructure work with strong equity — but brace for constant org changes.
Vercel
Choose Vercel if you want to build Next.js and edge runtime — but the pace is relentless and standards are sky-high.
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
Vercel — 79 jobs
💻 Engineering
32
💼 Sales / GTM
17
📋 Product
5
💰 Finance
4
📣 Marketing
4
🎨 Design
2
⚖️ Legal
2
👤 HR / People
1
⚙️ Operations
1