Companies in the United States using Datadog
709 companies headquartered in the United States list Datadog as a requirement in 1,617 open roles. Most of those roles are in DevOps and infrastructure, backend engineering and AI and machine learning teams. Datadog most often appears next to AWS, Python, CI/CD, JavaScript and Terraform. Roles that need it and state the pay sit at $171k a year in the middle.
Companies with the most open Datadog roles
25 of 709 · the full list is in the API| Company | Size | Open roles | Teams hiring | Median stated pay |
|---|---|---|---|---|
| 11-50 | 33 | Backend engineering, Solutions engineering, AI and machine learning | — | |
| 1001-5000 | 33 | DevOps and infrastructure | $64k | |
| 201-500 | 29 | AI and machine learning, Solutions engineering, Engineering leadership | $225k | |
| 11-50 | 27 | AI and machine learning, Sales, Solutions engineering | $225k | |
| 1001-5000 | 26 | Data science, Industrial engineering, DevOps and infrastructure | $87k | |
| 5000+ | 21 | DevOps and infrastructure, Backend engineering | — | |
| 1001-5000 | 15 | Backend engineering, QA and testing | $200k | |
| 201-500 | 14 | Data science, DevOps and infrastructure, Operations | — | |
| 14 | Backend engineering, DevOps and infrastructure | $169k | ||
| 51-200 | 14 | Backend engineering, Enterprise applications, Analytics | $117k | |
| 5000+ | 13 | Backend engineering, DevOps and infrastructure, AI and machine learning | $219k | |
| 1001-5000 | 13 | DevOps and infrastructure, Data science, Backend engineering | — | |
| 1001-5000 | 10 | Solutions engineering, Backend engineering, AI and machine learning | $149k | |
| 1001-5000 | 10 | AI and machine learning, Technical support, Data science | $130k | |
| 1001-5000 | 10 | DevOps and infrastructure, Backend engineering | — | |
| 5000+ | 9 | AI and machine learning, DevOps and infrastructure, Solutions engineering | — | |
| 5000+ | 8 | DevOps and infrastructure, Data science, Backend engineering | — | |
| 1001-5000 | 8 | Backend engineering, DevOps and infrastructure, Management | $233k | |
| 1001-5000 | 8 | Backend engineering, DevOps and infrastructure, QA and testing | $145k | |
| 1001-5000 | 8 | Customer success | — | |
| 201-500 | 8 | Backend engineering, AI and machine learning, DevOps and infrastructure | — | |
| 51-200 | 8 | Backend engineering, Management, Sales | $215k | |
| 5000+ | 8 | DevOps and infrastructure, Backend engineering | $153k | |
| 501-1000 | 8 | Backend engineering, Mobile engineering, DevOps and infrastructure | $158k | |
| 1001-5000 | 8 | Backend engineering, Industrial engineering, QA and testing | — |
Datadog in other countries
What these companies also use
Teams hiring for Datadog
Get all 709 companies as a list
Name, website, size, industry and headquarters of every company that requires Datadog, through the API (company.getList with technology=Datadog and country=US). 709 companies × 0.02 credits = 14.18 credits ($1.42).
Questions
How do you know a company uses Datadog?
A company counts when at least one of its open job postings lists Datadog as a requirement, not as a nice-to-have. The list is rebuilt every night from the postings on the employers' own careers boards. Staffing agencies, job republishers and the maker of Datadog itself are left out.
Which teams hire for Datadog?
Of the 1,617 open roles that require it, most are in DevOps and infrastructure (594), backend engineering (396) and AI and machine learning (96).
What do Datadog roles pay?
712 of the 1,617 roles state the pay. The middle of their posted ranges is $171k a year, converted to US dollars.
Can I download this list?
Yes, through the API: company.getList with technology=Datadog and country=US returns each company's name, website, size, industry and headquarters for 0.02 credits a row (a credit is $0.10). New accounts start with 30 free credits.
