Airbnb vs Databricks

Airbnb vs Databricks Culture

Side-by-side culture comparison. See ratings, values, pros & cons, and open roles to find your best fit.

Airbnb

Airbnb

Large (~7,300)
Databricks

Databricks

Large (~7,000)
Airbnb
Best for: Engineers who want Live Anywhere flexibility with strong comp and no pay cuts
Databricks
Best for: Data engineers who want strong comp and deep technical pedigree at scale
AirbnbDatabricks
4.1
4.1
Overall
4.0
3.9
Work-Life Balance
4.2
4.0
Culture & Values
4.2
4.3
Comp & Benefits
3.5
3.8
Senior Mgmt
3.5
3.9
Career Opps
👍 80% Recommend 👤 87% CEO Approval (Brian Chesky)
👍 82% Recommend 👤 88% CEO Approval (Ali Ghodsi)
Airbnb only
🌐 Remote-Friendly⚖️ Work-Life Balance🔓 Open Source Culture
Databricks only
⚙️ Engineering-Driven🌱 Learning & Growth🎯 Direct Product Impact
Shared
🌈 Diverse & Inclusive💎 Strong Comp & Equity

Airbnb

  • Live and Work Anywhere policy — genuine remote flexibility with no pay cuts
  • Strong compensation and benefits with quarterly travel credits and educational stipends
  • Limited career growth — senior roles often filled externally, promotions are slow
  • Post-IPO cultural shift — increasing bureaucracy and internal politics at mid-to-senior levels

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
Airbnb
Choose Airbnb if you want genuine remote flexibility and travel perks — but promotions are slow and bureaucracy is growing.
Databricks
Choose Databricks if you want elite data infrastructure work with strong equity — but brace for constant org changes.

Airbnb — 243 jobs

💻 Engineering
64
🎧 Support
26
📊 Data
14
🧠 ML / AI
12
📣 Marketing
11
📋 Product
11
💼 Sales / GTM
10
⚖️ Legal
6
⚙️ Operations
6
🎨 Design
2
💰 Finance
2
👤 HR / People
2

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