DeepL
Large (~1,570)
MongoDB
Large (~5,500)
Best For
DeepL
Best for: NLP and backend engineers interested in language AI who prioritize work-life balance over compensation and fast career growth
MongoDB
Best for: Professionals interested in MongoDB
Ratings
DeepLMongoDB
3.2
4.0
Overall
4.0
3.8
Work-Life Balance
3.3
4.1
Culture & Values
3.2
4.0
Comp & Benefits
3.0
3.8
Senior Mgmt
3.0
3.8
Career Opps
👍 64% Recommend
👤 67% CEO Approval (Jaroslaw Kutylowski)
👍 80% Recommend
👤 84% CEO Approval (CEO)
Culture Values
DeepL only
⚖️ Work-Life Balance🕐 Flexible Hours🌈 Diverse & Inclusive
MongoDB only
🔓 Open Source⚙️ Engineering-Driven💎 Strong Comp & Equity
Shared
🎯 Direct Product Impact🌱 Learning & Growth
Pros & Cons
DeepL
- Great product with big-name customers — startup vibe with corporate safety net
- Good salary, very international team of 90+ nationalities with good work-life balance
- Intransparent leadership — hidden salary bands, top-down decisions with no feedback loop
- High employee churn with repeated downsizing despite positive financial messaging
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
DeepL
DeepL's language models are impressive, but Glassdoor tells a cautionary story (3.2 overall, 64% recommend) — reviews cite weak management and limited career progression despite decent WLB.
MongoDB
MongoDB — check Glassdoor for detailed reviews.
Open Roles
DeepL — 59 jobs
💼 Sales / GTM
29
💻 Engineering
6
🎧 Support
4
🧠 ML / AI
3
👤 HR / People
2
📊 Data
1
⚖️ Legal
1
📣 Marketing
1
⚙️ Operations
1
📋 Product
1
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
DeepL scores 3.2/5.0 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 0.8-point gap on overall satisfaction.
Both companies share these culture values: Direct Product Impact, Learning & Growth. DeepL also emphasizes Work-Life Balance, Flexible Hours, Diverse & Inclusive. MongoDB also emphasizes Open Source, Engineering-Driven, Strong Comp & Equity.
On the hiring front, DeepL has 59 open roles and MongoDB has 428 open roles.