Google DeepMind vs Ramp

Google DeepMind vs Ramp Culture

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

Google DeepMind

Google DeepMind

Large (~7,000)
Ramp

Ramp

Large (~1,000+)
Google DeepMind
Best for: Professionals interested in Google DeepMind
Ramp
Best for: Product-minded engineers who want exceptional comp and benefits at the fastest-growing fintech
Google DeepMindRamp
4.2
4.2
Overall
4.0
3.5
Work-Life Balance
4.3
4.3
Culture & Values
4.2
4.5
Comp & Benefits
4.0
3.8
Senior Mgmt
4.0
4.0
Career Opps
👍 84% Recommend 👤 88% CEO Approval (CEO)
👍 82% Recommend 👤 88% CEO Approval (Eric Glyman)
Google DeepMind only
🎧 Deep Work / Low Meetings🌈 Diverse & Inclusive🤖 Ethical AI / Safety🕐 Flexible Hours
Ramp only
🚀 Ship Fast & Iterate🎯 Direct Product Impact🪟 Transparent Culture
Shared
🌱 Learning & Growth⚙️ Engineering-Driven💎 Strong Comp & Equity

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

Ramp

  • Exceptional talent and product-driven culture — software engineers rate 4.7/5 on Glassdoor
  • Outstanding compensation and benefits — 16 weeks maternity, IVF coverage, free lunch
  • Intense work demands — 60+ hour weeks and 10-12 hour days are common
  • Shifting to in-office preference — new hires expected 3+ days/week in NYC, SF, or Miami
Google DeepMind
Google DeepMind — check Glassdoor for detailed reviews.
Ramp
Choose Ramp if you want top-tier comp and a product-driven fintech culture — but expect 60+ hour weeks and in-office expectations.

Google DeepMind — 112 jobs

🧠 ML / AI
39
📋 Product
21
💻 Engineering
14
🎨 Design
8
📊 Data
5
👤 HR / People
2
📣 Marketing
2

Ramp — 130 jobs

💻 Engineering
33
💼 Sales / GTM
26
📣 Marketing
9
📋 Product
7
💰 Finance
6
⚙️ Operations
4
📊 Data
3
🎨 Design
2
👤 HR / People
2
⚖️ Legal
1