Databricks
Large (~7,000)
Descript
Medium (~250)
Best For
Databricks
Best for: Data engineers who want strong comp and deep technical pedigree at scale
Descript
Best for: Product-focused engineers and designers who want to work on AI-powered audio and video editing tools loved by millions of creators
Ratings
DatabricksDescript
4.1
3.9
Overall
3.9
3.8
Work-Life Balance
4.0
4.0
Culture & Values
4.3
3.7
Comp & Benefits
3.8
3.7
Senior Mgmt
3.9
3.6
Career Opps
👍 82% Recommend
👤 88% CEO Approval (Ali Ghodsi)
👍 75% Recommend
👤 82% CEO Approval (Andrew Mason)
Culture Values
Databricks only
🌱 Learning & Growth💎 Strong Comp & Equity🌈 Diverse & Inclusive🎯 Direct Product Impact
Descript only
🚀 Ship Fast & Iterate🤝 Flat Hierarchy🧩 Wears Many Hats🌐 Remote-Friendly
Shared
⚙️ Engineering-Driven
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
Descript
- Talented and collaborative team
- Remote-friendly with great async culture
- Direction can change quickly
- Some roles stretch thin across projects
Bottom Line
Databricks
Choose Databricks if you want elite data infrastructure work with strong equity — but brace for constant org changes.
Descript
Choose Descript if you want to ship polished creator tools at a small SF-based AI company with a 3.9 Glassdoor and strong product DNA — but expect fast pace and evolving org structure.
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
Descript — 24 jobs
💻 Engineering
8
💼 Sales / GTM
5
📋 Product
3
📊 Data
1
🎨 Design
1
💰 Finance
1
⚖️ Legal
1
Summary
Databricks scores 4.1/5.0 on Glassdoor with a 3.9 work-life balance rating. Descript scores 3.9/5.0 overall with a 3.8 WLB. That’s a 0.2-point gap on overall satisfaction.
Both companies share these culture values: Engineering-Driven. Databricks also emphasizes Learning & Growth, Strong Comp & Equity, Diverse & Inclusive, Direct Product Impact. Descript also emphasizes Ship Fast & Iterate, Flat Hierarchy, Wears Many Hats, Remote-Friendly.
On the hiring front, Databricks has 842 open roles and Descript has 24 open roles.