Databricks
Large (~7,000)
Lovable
Medium (~300)
Best For
Databricks
Best for: Data engineers who want strong comp and deep technical pedigree at scale
Lovable
Best for: Engineers who want to build AI-first developer tools with extreme ownership at a fast-growing startup
Ratings
DatabricksLovable
4.1
3.5
Overall
3.9
3.0
Work-Life Balance
4.0
3.6
Culture & Values
4.3
3.5
Comp & Benefits
3.8
3.3
Senior Mgmt
3.9
3.3
Career Opps
👍 82% Recommend
👤 88% CEO Approval (Ali Ghodsi)
👍 70% Recommend
👤 74% CEO Approval (Anton Osika)
Culture Values
Databricks only
💎 Strong Comp & Equity🌈 Diverse & Inclusive
Lovable only
🚀 Ship Fast & Iterate
Shared
⚙️ Engineering-Driven🌱 Learning & Growth🎯 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
Lovable
- High autonomy and fast-shipping culture
- Massive product impact at scale
- Intense pace with long working hours
- Benefits still maturing
Bottom Line
Databricks
Choose Databricks if you want elite data infrastructure work with strong equity — but brace for constant org changes.
Lovable
Choose Lovable if you want to shape the AI-first software creation movement with high autonomy and massive product impact — but expect intense pace and early-stage growing pains with benefits still maturing.
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
Lovable — 81 jobs
💻 Engineering
17
💼 Sales / GTM
12
📊 Data
7
📣 Marketing
7
🎨 Design
5
📋 Product
4
💰 Finance
2
⚙️ Operations
2
⚖️ Legal
1
Summary
Databricks scores 4.1/5.0 on Glassdoor with a 3.9 work-life balance rating. Lovable scores 3.5/5.0 overall with a 3.0 WLB. That’s a 0.6-point gap on overall satisfaction.
Both companies share these culture values: Engineering-Driven, Learning & Growth, Direct Product Impact. Databricks also emphasizes Strong Comp & Equity, Diverse & Inclusive. Lovable also emphasizes Ship Fast & Iterate.
On the hiring front, Databricks has 842 open roles and Lovable has 81 open roles.