Databricks
Large (~7,000)
Together AI
Small (~150)
Best For
Databricks
Best for: Data engineers who want strong comp and deep technical pedigree at scale
Together AI
Best for: Open-source AI infrastructure builders who want research-level impact at a startup
Ratings
DatabricksTogether AI
4.1
4.1
Overall
3.9
3.8
Work-Life Balance
4.0
4.3
Culture & Values
4.3
4.0
Comp & Benefits
3.8
4.0
Senior Mgmt
3.9
3.8
Career Opps
👍 82% Recommend
👤 88% CEO Approval (Ali Ghodsi)
👍 82% Recommend
👤 85% CEO Approval (Vipul Ved Prakash)
Culture Values
Databricks only
💎 Strong Comp & Equity🌈 Diverse & Inclusive🎯 Direct Product Impact
Together AI only
🔓 Open Source🤝 Flat Hierarchy🧩 Wears Many Hats
Shared
⚙️ Engineering-Driven🌱 Learning & Growth
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
Together AI
- Open-source AI infrastructure — real mission alignment, not just marketing
- Small team with outsized research output; your work has direct impact
- Early-stage means wearing many hats constantly — not for specialists
- Limited career ladder; growth paths are still being defined
Bottom Line
Databricks
Choose Databricks if you want elite data infrastructure work with strong equity — but brace for constant org changes.
Together AI
Choose Together AI if you want real open-source mission with outsized research output — but expect to wear many hats.
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
Together AI — 49 jobs
💻 Engineering
19
🧠 ML / AI
9
📊 Data
4
📋 Product
3
🎧 Support
3
📣 Marketing
2
💼 Sales / GTM
2
🎨 Design
1
⚖️ Legal
1
⚙️ Operations
1
Summary
Databricks scores 4.1/5.0 on Glassdoor with a 3.9 work-life balance rating. Together AI scores 4.1/5.0 overall with a 3.8 WLB. They’re tied on overall satisfaction.
Both companies share these culture values: Engineering-Driven, Learning & Growth. Databricks also emphasizes Strong Comp & Equity, Diverse & Inclusive, Direct Product Impact. Together AI also emphasizes Open Source, Flat Hierarchy, Wears Many Hats.
On the hiring front, Databricks has 842 open roles and Together AI has 49 open roles.