Datadog
Large (~6,000)
DeepL
Large (~1,570)
Best For
Datadog
Best for: Engineers who want strong comp and interesting scale challenges in cloud observability
DeepL
Best for: NLP and backend engineers interested in language AI who prioritize work-life balance over compensation and fast career growth
Ratings
DatadogDeepL
4.2
3.2
Overall
3.8
4.0
Work-Life Balance
4.3
3.3
Culture & Values
4.4
3.2
Comp & Benefits
3.8
3.0
Senior Mgmt
4.0
3.0
Career Opps
👍 80% Recommend
👤 87% CEO Approval (Olivier Pomel)
👍 64% Recommend
👤 67% CEO Approval (Jaroslaw Kutylowski)
Culture Values
Datadog only
⚙️ Engineering-Driven🚀 Ship Fast & Iterate💎 Strong Comp & Equity
DeepL only
⚖️ Work-Life Balance🕐 Flexible Hours🌈 Diverse & Inclusive
Shared
🌱 Learning & Growth🎯 Direct Product Impact
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
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
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.
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.
Open Roles
Datadog — 433 jobs
💼 Sales / GTM
208
💻 Engineering
112
📋 Product
26
📣 Marketing
16
👤 HR / People
8
🧠 ML / AI
8
🎨 Design
5
⚙️ Operations
5
⚖️ Legal
3
📊 Data
1
💰 Finance
1
DeepL — 56 jobs
💼 Sales / GTM
31
💻 Engineering
6
🧠 ML / AI
3
📊 Data
2
👤 HR / People
2
🎧 Support
2
💰 Finance
1
⚖️ Legal
1
📣 Marketing
1
⚙️ Operations
1
📋 Product
1
Summary
Datadog scores 4.2/5.0 on Glassdoor with a 3.8 work-life balance rating. DeepL scores 3.2/5.0 overall with a 4.0 WLB. That’s a 1.0-point gap on overall satisfaction.
Both companies share these culture values: Learning & Growth, Direct Product Impact. Datadog also emphasizes Engineering-Driven, Ship Fast & Iterate, Strong Comp & Equity. DeepL also emphasizes Work-Life Balance, Flexible Hours, Diverse & Inclusive.
On the hiring front, Datadog has 433 open roles and DeepL has 56 open roles.