Databricks
Large (~7,000)
PostHog
Small (~170)
Best For
Databricks
Best for: Data engineers who want strong comp and deep technical pedigree at scale
PostHog
Best for: Professionals interested in PostHog
Ratings
DatabricksPostHog
4.1
4.3
Overall
3.9
4.5
Work-Life Balance
4.0
4.4
Culture & Values
4.3
4.3
Comp & Benefits
3.8
4.1
Senior Mgmt
3.9
4.1
Career Opps
👍 82% Recommend
👤 88% CEO Approval (Ali Ghodsi)
👍 86% Recommend
👤 90% CEO Approval (CEO)
Culture Values
Databricks only
⚙️ Engineering-Driven🌱 Learning & Growth💎 Strong Comp & Equity🌈 Diverse & Inclusive🎯 Direct Product Impact
PostHog only
🔓 Open Source🪟 Transparent📡 Async-First🌐 Remote-Friendly🤝 Flat Hierarchy🧩 Wears Many Hats
Shared
None
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
PostHog
- Extreme transparency — public handbook, open-source everything, radical autonomy
- Generous compensation with competitive pay, equity, and home office budget
- Small team means limited career progression paths
- Top-down decision-making can sometimes override team input
Bottom Line
Databricks
Choose Databricks if you want elite data infrastructure work with strong equity — but brace for constant org changes.
PostHog
PostHog — check Glassdoor for detailed reviews.
Open Roles
Databricks — 795 jobs
💼 Sales / GTM
322
💻 Engineering
260
📋 Product
53
📊 Data
23
⚙️ Operations
17
🧠 ML / AI
15
💰 Finance
12
📣 Marketing
11
👤 HR / People
9
⚖️ Legal
5
🎨 Design
4
🎧 Support
1
PostHog — 15 jobs
💻 Engineering
7
💼 Sales / GTM
3
🧠 ML / AI
1
📋 Product
1