Google DeepMind
Large (~7,000)
MongoDB
Large (~5,500)
Best For
Google DeepMind
Best for: AI researchers who want world-class peers and Google-level benefits without sacrificing scientific rigor
MongoDB
Best for: Professionals interested in MongoDB
Ratings
Google DeepMindMongoDB
4.2
4.0
Overall
4.0
3.8
Work-Life Balance
4.3
4.1
Culture & Values
4.2
4.0
Comp & Benefits
4.0
3.8
Senior Mgmt
4.0
3.8
Career Opps
👍 84% Recommend
👤 88% CEO Approval (Demis Hassabis)
👍 80% Recommend
👤 84% CEO Approval (CEO)
Culture Values
Google DeepMind only
🎧 Deep Work / Low Meetings🌈 Diverse & Inclusive🤖 Ethical AI / Safety🕐 Flexible Hours
MongoDB only
🔓 Open Source🎯 Direct Product Impact
Shared
🌱 Learning & Growth⚙️ Engineering-Driven💎 Strong Comp & Equity
Pros & Cons
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
MongoDB
- World-class enablement — best training programs many employees have encountered
- Competitive pay with strong equity, especially for senior roles
- No 401k match and culture has gotten more political at scale
- Work-life balance is team-dependent — some teams have long hours expectations
Bottom Line
Google DeepMind
Brilliant research environment with strong work-life balance and excellent pay — but Google-scale bureaucracy and post-merger politics slow things down.
MongoDB
MongoDB — check Glassdoor for detailed reviews.
Open Roles
Google DeepMind — 84 jobs
🧠 ML / AI
24
📋 Product
18
🎨 Design
14
💻 Engineering
5
👤 HR / People
3
📊 Data
2
📣 Marketing
2
MongoDB — 428 jobs
💼 Sales / GTM
171
💻 Engineering
133
📋 Product
32
📣 Marketing
14
⚙️ Operations
9
👤 HR / People
8
💰 Finance
6
🧠 ML / AI
4
📊 Data
2
Summary
Google DeepMind scores 4.2/5.0 on Glassdoor with a 4.0 work-life balance rating. MongoDB scores 4.0/5.0 overall with a 3.8 WLB. That’s a 0.2-point gap on overall satisfaction.
Both companies share these culture values: Learning & Growth, Engineering-Driven, Strong Comp & Equity. Google DeepMind also emphasizes Deep Work / Low Meetings, Diverse & Inclusive, Ethical AI / Safety, Flexible Hours. MongoDB also emphasizes Open Source, Direct Product Impact.
On the hiring front, Google DeepMind has 84 open roles and MongoDB has 428 open roles.