Databricks
Large (~7,000)
LangChain
Small (~230)
Best For
Databricks
Best for: Data engineers who want strong comp and deep technical pedigree at scale
LangChain
Best for: Professionals interested in LangChain
Ratings
DatabricksLangChain
4.1
4.6
Overall
3.9
4.0
Work-Life Balance
4.0
4.7
Culture & Values
4.3
4.6
Comp & Benefits
3.8
4.4
Senior Mgmt
3.9
4.4
Career Opps
👍 82% Recommend
👤 88% CEO Approval (Ali Ghodsi)
👍 92% Recommend
👤 95% CEO Approval (CEO)
Culture Values
Databricks only
🌱 Learning & Growth💎 Strong Comp & Equity🌈 Diverse & Inclusive
LangChain only
🔓 Open Source Culture🚀 Ship Fast & Iterate🌐 Remote-Friendly🧩 Wears Many Hats🤝 Flat Hierarchy
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
LangChain
- Open-source DNA with massive community — your work impacts millions of developers
- Small team with outsized impact — ship fast with high autonomy
- Very early-stage startup — limited structure and processes
- Rapidly scaling which brings growing pains and role ambiguity
Bottom Line
Databricks
Choose Databricks if you want elite data infrastructure work with strong equity — but brace for constant org changes.
LangChain
LangChain — check Glassdoor for detailed reviews.
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
LangChain — 84 jobs
💻 Engineering
43
💼 Sales / GTM
29
👤 HR / People
4
📣 Marketing
4
⚖️ Legal
1
🧠 ML / AI
1
⚙️ Operations
1
📋 Product
1