Google DeepMind
Large (~7,000)
Elastic
Large (~4,000)
Best For
Google DeepMind
Best for: AI researchers who want world-class peers and Google-level benefits without sacrificing scientific rigor
Elastic
Best for: Professionals interested in Elastic
Ratings
Google DeepMindElastic
4.2
4.0
Overall
4.0
4.1
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🌱 Learning & Growth⚙️ Engineering-Driven🌈 Diverse & Inclusive🤖 Ethical AI / Safety🕐 Flexible Hours
Elastic only
🌐 Remote-Friendly🔓 Open Source⚖️ Work-Life Balance📡 Async-First
Shared
💎 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
Elastic
- Fully distributed from day one — genuine remote-first culture across 40+ countries
- Open-source DNA means engineers contribute to community, not just internal products
- Cross-timezone coordination means occasional early/late meetings
- Recent leadership shifts have introduced more process and oversight
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.
Elastic
Elastic — 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
Elastic — 198 jobs
💻 Engineering
87
💼 Sales / GTM
67
📣 Marketing
8
📋 Product
7
👤 HR / People
4
🎨 Design
3
🧠 ML / AI
3
📊 Data
2
Summary
Google DeepMind scores 4.2/5.0 on Glassdoor with a 4.0 work-life balance rating. Elastic scores 4.0/5.0 overall with a 4.1 WLB. That’s a 0.2-point gap on overall satisfaction.
Both companies share these culture values: Strong Comp & Equity. Google DeepMind also emphasizes Deep Work / Low Meetings, Learning & Growth, Engineering-Driven, Diverse & Inclusive, Ethical AI / Safety, Flexible Hours. Elastic also emphasizes Remote-Friendly, Open Source, Work-Life Balance, Async-First.
On the hiring front, Google DeepMind has 84 open roles and Elastic has 198 open roles.