Anthropic
Mid (~1,500)
Databricks
Large (~7,000)
Best For
Anthropic
Best for: Safety-minded researchers who want mission-driven work with top-tier comp
Databricks
Best for: Data engineers who want strong comp and deep technical pedigree at scale
Ratings
AnthropicDatabricks
4.4
4.1
Overall
3.7
3.9
Work-Life Balance
4.5
4.0
Culture & Values
4.8
4.3
Comp & Benefits
4.2
3.8
Senior Mgmt
4.0
3.9
Career Opps
👍 95% Recommend
👤 93% CEO Approval (Dario Amodei)
👍 82% Recommend
👤 88% CEO Approval (Ali Ghodsi)
Culture Values
Anthropic only
🤖 Ethical AI / Safety💜 Mission-Driven🤝 Flat Hierarchy
Databricks only
🌈 Diverse & Inclusive🎯 Direct Product Impact
Shared
🌱 Learning & Growth💎 Strong Comp & Equity⚙️ Engineering-Driven
Pros & Cons
Anthropic
- Mission-driven to the core — the safety focus is genuine and deeply embedded
- Incredible autonomy and ownership, even for mid-level engineers
- High-intensity environment — extended work hours are common during peak periods
- Processes still catching up to hypergrowth; some things feel ad-hoc
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
Bottom Line
Anthropic
Choose Anthropic if you want genuine AI safety mission, elite comp, and high autonomy — but expect intense hours.
Databricks
Choose Databricks if you want elite data infrastructure work with strong equity — but brace for constant org changes.
Open Roles
Anthropic — 443 jobs
💻 Engineering
133
💼 Sales / GTM
109
🧠 ML / AI
50
📣 Marketing
28
📋 Product
24
💰 Finance
14
⚙️ Operations
14
⚖️ Legal
12
🎧 Support
8
📊 Data
6
🎨 Design
1
👤 HR / People
1
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