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 — 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
Glean — 180 jobs
💼 Sales / GTM
62
💻 Engineering
38
📋 Product
15
👤 HR / People
7
⚙️ Operations
6
🎨 Design
5
📣 Marketing
5
🧠 ML / AI
5
📊 Data
1
💰 Finance
1
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 842 open roles and Glean has 180 open roles.