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 Culture🤝 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 — 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
Together AI — 48 jobs
💻 Engineering
21
🧠 ML / AI
8
📊 Data
2
📣 Marketing
2
📋 Product
2
💼 Sales / GTM
2
🎨 Design
1
💰 Finance
1
👤 HR / People
1
⚖️ Legal
1