Databricks
Large (~7,000)
Glean
Large (~1,475)
Best For
Databricks
Best for: Data engineers who want strong comp and deep technical pedigree at scale
Glean
Best for: AI engineers who want to work on enterprise search with ex-Google leadership and don't mind below-market base pay offset by strong equity upside
Ratings
DatabricksGlean
4.1
4.2
Overall
3.9
3.8
Work-Life Balance
4.0
4.3
Culture & Values
4.3
4.2
Comp & Benefits
3.8
4.0
Senior Mgmt
3.9
4.0
Career Opps
👍 82% Recommend
👤 88% CEO Approval (Ali Ghodsi)
👍 84% Recommend
👤 88% CEO Approval (Arvind Jain)
Culture Values
Databricks only
💎 Strong Comp & Equity🌈 Diverse & Inclusive
Glean only
🚀 Ship Fast & Iterate🪟 Transparent
Shared
⚙️ Engineering-Driven🌱 Learning & Growth🎯 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
Glean
- World-class AI talent — learn from ex-Google leadership on cutting-edge enterprise search
- Transparent collaborative culture with strong career growth
- Below-market compensation — comp rated only 3.6/5
- Sales org has high churn and toxicity problems in EMEA and US
Bottom Line
Databricks
Choose Databricks if you want elite data infrastructure work with strong equity — but brace for constant org changes.
Glean
Top-tier AI engineering talent and explosive growth, but comp lags peers and the sales org has churn problems — the engineering side is the real draw.
Open Roles
Databricks — 837 jobs
💼 Sales / GTM
367
💻 Engineering
269
📋 Product
49
📊 Data
21
⚙️ Operations
18
🧠 ML / AI
13
📣 Marketing
12
👤 HR / People
8
💰 Finance
7
🎨 Design
6
⚖️ Legal
5
🎧 Support
1
Glean — 196 jobs
💼 Sales / GTM
68
💻 Engineering
42
📋 Product
16
📣 Marketing
10
👤 HR / People
8
🧠 ML / AI
6
🎨 Design
5
📊 Data
3
⚙️ Operations
3
Summary
Databricks scores 4.1/5.0 on Glassdoor with a 3.9 work-life balance rating. Glean scores 4.2/5.0 overall with a 3.8 WLB. That’s a 0.1-point gap on overall satisfaction.
Both companies share these culture values: Engineering-Driven, Learning & Growth, Direct Product Impact. Databricks also emphasizes Strong Comp & Equity, Diverse & Inclusive. Glean also emphasizes Ship Fast & Iterate, Transparent.
On the hiring front, Databricks has 837 open roles and Glean has 196 open roles.