Databricks
Large (~7,000)
Synthesia
Mid (~660)
Best For
Databricks
Best for: Data engineers who want strong comp and deep technical pedigree at scale
Synthesia
Best for: Engineers who want to build cutting-edge generative AI video at a fast-scaling London unicorn with a genuinely low-ego culture
Ratings
DatabricksSynthesia
4.1
4.4
Overall
3.9
4.2
Work-Life Balance
4.0
4.5
Culture & Values
4.3
4.4
Comp & Benefits
3.8
4.2
Senior Mgmt
3.9
4.2
Career Opps
👍 82% Recommend
👤 88% CEO Approval (Ali Ghodsi)
👍 88% Recommend
👤 92% CEO Approval (Victor Riparbelli)
Culture Values
Databricks only
💎 Strong Comp & Equity🌈 Diverse & Inclusive
Synthesia only
🚀 Ship Fast & Iterate🤝 Flat Hierarchy🧩 Wears Many Hats
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
Synthesia
- Low-ego supportive culture with genuine trust and ownership
- Fast-paced growth with real opportunity to develop and lead
- R&D and Product teams feel intense pressure and WLB suffers
- Promotions rare internally — new roles favor external hires
Bottom Line
Databricks
Choose Databricks if you want elite data infrastructure work with strong equity — but brace for constant org changes.
Synthesia
High-growth AI company with strong culture ratings and real employee trust, though R&D teams feel the pace and promotions skew toward external hires.
Open Roles
Databricks — 837 jobs
💼 Sales / GTM
367
💻 Engineering
269
📋 Product
49
📊 Data
21
⚙️ Operations
18
🧠 ML / AI
13
📣 Marketing
12
👤 HR / People
8
💰 Finance
7
🎨 Design
6
⚖️ Legal
5
🎧 Support
1
Synthesia — 71 jobs
💼 Sales / GTM
25
🎨 Design
9
💻 Engineering
9
🧠 ML / AI
5
📣 Marketing
3
🎧 Support
3
📊 Data
2
👤 HR / People
1
⚖️ Legal
1
⚙️ Operations
1
📋 Product
1
Summary
Databricks scores 4.1/5.0 on Glassdoor with a 3.9 work-life balance rating. Synthesia scores 4.4/5.0 overall with a 4.2 WLB. That’s a 0.3-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. Synthesia also emphasizes Ship Fast & Iterate, Flat Hierarchy, Wears Many Hats.
On the hiring front, Databricks has 837 open roles and Synthesia has 71 open roles.