Databricks
Large (~7,000)
Fireworks AI
Small (~100)
Best For
Databricks
Best for: Data engineers who want strong comp and deep technical pedigree at scale
Fireworks AI
Best for: Engineers who want to work with ex-Meta AI infrastructure engineers on LLM inference
Ratings
DatabricksFireworks AI
4.1
4.2
Overall
3.9
3.3
Work-Life Balance
4.0
4.3
Culture & Values
4.3
4.2
Comp & Benefits
3.8
4.2
Senior Mgmt
3.9
4.0
Career Opps
👍 82% Recommend
👤 88% CEO Approval (Ali Ghodsi)
Culture Values
Databricks only
💎 Strong Comp & Equity🌈 Diverse & Inclusive🎯 Direct Product Impact
Fireworks AI only
🚀 Ship Fast & Iterate🧩 Wears Many Hats🎧 Deep Work / Low Meetings
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
Fireworks AI
- World-class team of ex-Meta AI infrastructure engineers — technically very strong peers
- Working on LLM inference optimization which is one of the hottest areas in AI infrastructure
- Early-stage startup intensity with long hours expected and high performance bar
- Small team and rapidly evolving product means less structure, process, and career laddering
Bottom Line
Databricks
Choose Databricks if you want elite data infrastructure work with strong equity — but brace for constant org changes.
Fireworks AI
Choose Fireworks AI if you want to work with ex-Meta AI infrastructure engineers on cutting-edge LLM inference — but expect early-stage startup intensity and limited structure.
Open Roles
Databricks — 836 jobs
💼 Sales / GTM
359
💻 Engineering
271
📋 Product
49
📊 Data
23
⚙️ Operations
17
📣 Marketing
13
🧠 ML / AI
12
👤 HR / People
9
🎨 Design
6
💰 Finance
6
⚖️ Legal
5
🎧 Support
1
Fireworks AI — 28 jobs
💻 Engineering
9
💼 Sales / GTM
4
⚙️ Operations
2
👤 HR / People
1
⚖️ Legal
1
📣 Marketing
1
🧠 ML / AI
1
📋 Product
1
Summary
Databricks scores 4.1/5.0 on Glassdoor with a 3.9 work-life balance rating. Fireworks AI scores 4.2/5.0 overall with a 3.3 WLB. That’s a 0.1-point gap on overall satisfaction.
Both companies share these culture values: Engineering-Driven, Learning & Growth. Databricks also emphasizes Strong Comp & Equity, Diverse & Inclusive, Direct Product Impact. Fireworks AI also emphasizes Ship Fast & Iterate, Wears Many Hats, Deep Work / Low Meetings.
On the hiring front, Databricks has 836 open roles and Fireworks AI has 28 open roles.