Databricks
Large (~7,000)
HubSpot
Large (~8,000)
Best For
Databricks
Best for: Data engineers who want strong comp and deep technical pedigree at scale
HubSpot
Best for: People who prioritize genuine work-life balance and a transparent, inclusive culture
Ratings
DatabricksHubSpot
4.1
4.3
Overall
3.9
4.1
Work-Life Balance
4.0
4.5
Culture & Values
4.3
3.9
Comp & Benefits
3.8
4.1
Senior Mgmt
3.9
4.0
Career Opps
👍 82% Recommend
👤 88% CEO Approval (Ali Ghodsi)
👍 87% Recommend
👤 92% CEO Approval (Yamini Rangan)
Culture Values
Databricks only
⚙️ Engineering-Driven💎 Strong Comp & Equity🎯 Direct Product Impact
HubSpot only
⚖️ Work-Life Balance🪟 Transparent Culture🕐 Flexible Hours🛡️ Safe to Fail
Shared
🌱 Learning & Growth🌈 Diverse & Inclusive
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
HubSpot
- Culture Code is legendary — transparency, autonomy, flexibility are real
- Remote-first done right with genuine work-life balance
- Enterprise sales culture can clash with engineering
- Comp below FAANG for senior roles
Bottom Line
Databricks
Choose Databricks if you want elite data infrastructure work with strong equity — but brace for constant org changes.
HubSpot
Choose HubSpot if you want legendary culture with real flexibility and psychological safety — but comp is below FAANG.
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
HubSpot — 263 jobs
💼 Sales / GTM
132
💻 Engineering
51
🎨 Design
15
📋 Product
13
📊 Data
7
🎧 Support
7
📣 Marketing
6
👤 HR / People
3
🧠 ML / AI
3
⚖️ Legal
1
⚙️ Operations
1