Datadog
Large (~6,000)
Google DeepMind
Large (~7,000)
Best For
Datadog
Best for: Engineers who want strong comp and interesting scale challenges in cloud observability
Google DeepMind
Best for: Professionals interested in Google DeepMind
Ratings
DatadogGoogle DeepMind
4.2
4.2
Overall
3.8
4.0
Work-Life Balance
4.3
4.3
Culture & Values
4.4
4.2
Comp & Benefits
3.8
4.0
Senior Mgmt
4.0
4.0
Career Opps
👍 80% Recommend
👤 87% CEO Approval (Olivier Pomel)
👍 84% Recommend
👤 88% CEO Approval (CEO)
Culture Values
Datadog only
🚀 Ship Fast & Iterate🎯 Direct Product Impact
Google DeepMind only
🎧 Deep Work / Low Meetings🌈 Diverse & Inclusive🤖 Ethical AI / Safety🕐 Flexible Hours
Shared
⚙️ Engineering-Driven🌱 Learning & Growth💎 Strong Comp & Equity
Pros & Cons
Datadog
- Excellent compensation and equity — stock has been a genuine wealth builder for early employees
- Strong engineering culture with smart coworkers and interesting technical challenges at scale
- Fast pace can lead to long hours and pressure to deliver, work-life balance varies by team
- Rapid growth has led to organizational growing pains and bureaucracy creeping in
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
Datadog
Choose Datadog if you want strong comp, interesting scale challenges in observability, and a fast-paced engineering culture — but expect long hours and growing bureaucracy.
Google DeepMind
Google DeepMind — check Glassdoor for detailed reviews.
Open Roles
Datadog — 451 jobs
💼 Sales / GTM
217
💻 Engineering
118
📋 Product
28
📣 Marketing
15
👤 HR / People
8
🧠 ML / AI
8
🎨 Design
7
⚙️ Operations
6
⚖️ Legal
3
📊 Data
1
💰 Finance
1
Google DeepMind — 90 jobs
🧠 ML / AI
27
📋 Product
18
🎨 Design
12
💻 Engineering
10
📊 Data
4
👤 HR / People
2
📣 Marketing
2
Summary
Datadog scores 4.2/5.0 on Glassdoor with a 3.8 work-life balance rating. Google DeepMind scores 4.2/5.0 overall with a 4.0 WLB. They’re tied on overall satisfaction.
Both companies share these culture values: Engineering-Driven, Learning & Growth, Strong Comp & Equity. Datadog also emphasizes Ship Fast & Iterate, Direct Product Impact. Google DeepMind also emphasizes Deep Work / Low Meetings, Diverse & Inclusive, Ethical AI / Safety, Flexible Hours.
On the hiring front, Datadog has 451 open roles and Google DeepMind has 90 open roles.