Databricks
Large (~7,000)
Decagon
Small (~210)
Best For
Databricks
Best for: Data engineers who want strong comp and deep technical pedigree at scale
Decagon
Best for: Builders who want to ship AI customer support agents directly to F500 customers with technical founders deeply involved
Ratings
DatabricksDecagon
4.1
3.9
Overall
3.9
3.7
Work-Life Balance
4.0
3.8
Culture & Values
4.3
3.2
Comp & Benefits
3.8
3.7
Senior Mgmt
3.9
3.7
Career Opps
👍 82% Recommend
👤 88% CEO Approval (Ali Ghodsi)
👍 75% Recommend
👤 85% CEO Approval (Jesse Zhang)
Culture Values
Databricks only
🌱 Learning & Growth🌈 Diverse & Inclusive
Decagon only
🚀 Ship Fast & Iterate
Shared
⚙️ Engineering-Driven💎 Strong Comp & Equity🎯 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
Decagon
- Strong engineering-driven culture with technical founders still deeply involved
- Ship meaningful AI features to enterprise customers every week
- Intense workload and high expectations — not a typical 40-hour week
- SF-centric; most roles expect in-office presence
Bottom Line
Databricks
Choose Databricks if you want elite data infrastructure work with strong equity — but brace for constant org changes.
Decagon
Choose Decagon if you want intense builder energy at a $4.5B Series D AI agents startup with real enterprise revenue — but expect SF office-centric culture and cash comp that trails top AI labs.
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
Decagon — 95 jobs
💼 Sales / GTM
32
💻 Engineering
25
📋 Product
7
🧠 ML / AI
6
⚙️ Operations
3
⚖️ Legal
2
📣 Marketing
2
📊 Data
1
🎨 Design
1
👤 HR / People
1
Summary
Databricks scores 4.1/5.0 on Glassdoor with a 3.9 work-life balance rating. Decagon scores 3.9/5.0 overall with a 3.7 WLB. That’s a 0.2-point gap on overall satisfaction.
Both companies share these culture values: Engineering-Driven, Strong Comp & Equity, Direct Product Impact. Databricks also emphasizes Learning & Growth, Diverse & Inclusive. Decagon also emphasizes Ship Fast & Iterate.
On the hiring front, Databricks has 842 open roles and Decagon has 95 open roles.