Airtable vs Google DeepMind

Airtable vs Google DeepMind Culture

Side-by-side culture comparison. See ratings, values, pros & cons, and open roles to find your best fit.

Airtable

Airtable

Mid (~900)
Google DeepMind

Google DeepMind

Large (~7,000)
Airtable
Best for: Engineers who want strong technical culture and real product impact at a leading no-code platform
Google DeepMind
Best for: Professionals interested in Google DeepMind
AirtableGoogle DeepMind
4.1
4.2
Overall
4.0
4.0
Work-Life Balance
3.9
4.3
Culture & Values
4.0
4.2
Comp & Benefits
3.5
4.0
Senior Mgmt
3.8
4.0
Career Opps
👍 74% Recommend 👤 67% CEO Approval (Howie Liu)
👍 84% Recommend 👤 88% CEO Approval (CEO)
Airtable only
🎯 Direct Product Impact🤝 Flat Hierarchy🌐 Remote-Friendly
Google DeepMind only
🎧 Deep Work / Low Meetings🤖 Ethical AI / Safety💎 Strong Comp & Equity🕐 Flexible Hours
Shared
⚙️ Engineering-Driven🌱 Learning & Growth🌈 Diverse & Inclusive

Airtable

  • 91% of engineers recommend — dedicated culture ambassadors plan events and build community
  • Strong work-life balance (4.0/5) with remote-friendly options and great benefits
  • Post-layoff culture has been impacted — some report declining morale since 2023 restructuring
  • Communication from leadership could improve — management quality varies by team

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
Airtable
Choose Airtable if you want strong engineering culture, real product impact at scale, and good WLB — but expect some post-restructuring growing pains and leadership uncertainty.
Google DeepMind
Google DeepMind — check Glassdoor for detailed reviews.

Airtable — 52 jobs

💼 Sales / GTM
17
💻 Engineering
15
📋 Product
4
🎨 Design
3
💰 Finance
3
📊 Data
1
⚖️ Legal
1
📣 Marketing
1
⚙️ Operations
1

Google DeepMind — 105 jobs

🧠 ML / AI
38
📋 Product
18
💻 Engineering
14
🎨 Design
9
📊 Data
5
👤 HR / People
2
📣 Marketing
2