Cognition
Medium (~300)
Google DeepMind
Large (~7,000)
Best For
Cognition
Best for: Elite engineers who want to build frontier AI coding agents and own a meaningful equity stake
Google DeepMind
Best for: AI researchers who want world-class peers and Google-level benefits without sacrificing scientific rigor
Ratings
CognitionGoogle DeepMind
3.8
4.2
Overall
3.2
4.0
Work-Life Balance
3.9
4.3
Culture & Values
3.8
4.2
Comp & Benefits
3.6
4.0
Senior Mgmt
3.6
4.0
Career Opps
👍 76% Recommend
👤 80% CEO Approval (Scott Wu)
👍 84% Recommend
👤 88% CEO Approval (Demis Hassabis)
Culture Values
Cognition only
🚀 Ship Fast & Iterate🎯 Direct Product Impact
Google DeepMind only
🎧 Deep Work / Low Meetings🌱 Learning & Growth🌈 Diverse & Inclusive🤖 Ethical AI / Safety🕐 Flexible Hours
Shared
⚙️ Engineering-Driven💎 Strong Comp & Equity
Pros & Cons
Cognition
- Elite engineering team with strong equity
- Cutting-edge AI agent work
- High-intensity startup pace
- In-person SF expectations
Google DeepMind
- World-class AI research environment with brilliant, collaborative colleagues
- Google-level compensation and benefits with genuine work-life balance
- Google-scale bureaucracy — slow decision-making compared to startups
- Large org means less individual ownership and impact on direction
Bottom Line
Cognition
Choose Cognition if you want world-class AI agent research (makers of Devin) with strong equity upside — but expect top-tier intensity and mandatory in-person in San Francisco.
Google DeepMind
Brilliant research environment with strong work-life balance and excellent pay — but Google-scale bureaucracy and post-merger politics slow things down.
Open Roles
Cognition — 62 jobs
💻 Engineering
21
💼 Sales / GTM
10
📊 Data
3
⚖️ Legal
2
⚙️ Operations
2
💰 Finance
1
👤 HR / People
1
📣 Marketing
1
🧠 ML / AI
1
Google DeepMind — 84 jobs
🧠 ML / AI
24
📋 Product
18
🎨 Design
14
💻 Engineering
5
👤 HR / People
3
📊 Data
2
📣 Marketing
2
Summary
Cognition scores 3.8/5.0 on Glassdoor with a 3.2 work-life balance rating. Google DeepMind scores 4.2/5.0 overall with a 4.0 WLB. That’s a 0.4-point gap on overall satisfaction.
Both companies share these culture values: Engineering-Driven, Strong Comp & Equity. Cognition also emphasizes Ship Fast & Iterate, Direct Product Impact. Google DeepMind also emphasizes Deep Work / Low Meetings, Learning & Growth, Diverse & Inclusive, Ethical AI / Safety, Flexible Hours.
On the hiring front, Cognition has 62 open roles and Google DeepMind has 84 open roles.