Technical Account Manager - CloudOps & Observability Expert

Datadog, Inc.; New York (NY); Hybrid; USD 124,000 - 165,000; Full time

Benefits offered by this job

Best onboarding

Global benefits

Mentor program

RSUs

ESPP

Professional development

Inclusion Talks

Job summary

Datadog is seeking a Technical Account Manager (TAM) to educate and support our largest customers, driving product adoption and success across pre‑sales, post‑sales, and renewals. You will analyze customer IT Operations, advocate for their goals, and work with product, engineering, and services teams to shape feature requests and best practices.

The role emphasizes hands‑on technical expertise, cloud platform familiarity (AWS/Azure/GCP), scripting, CI/CD, and containerization.

Qualifications

• Solid technical grounding in IT Operations.
• Experience with cloud platforms (AWS/Azure/GCP).
• Hands-on experience with scripting languages and CI/CD tools.
• Familiarity with containerization and orchestration (Docker, Kubernetes).
• Able to travel up to 30% and sit on client sites.

Responsibilities

• Advise on technical support and product adoption across pre/post-sales and renewals.
• Analyze customer IT Operations environments and provide value-maximizing recommendations.
• Act as customer advocate by aligning goals with product adoption and configurations.
• Prepare for Monthly and Quarterly Business Reviews with customers.
• Collaborate with product, engineering and services teams to identify new features.
• Evolve best practices for technical product adoption and customer success.

Skills

AWS

Azure

GCP

Scripting

Python

JavaScript

Ruby

Go

PHP

CI/CD

Jenkins

GitLab

Docker

Kubernetes

Rancher

Travel

Datadog

Tools

Datadog

Job description

Datadog is seeking a Technical Account Manager (TAM) to educate and support our largest customers, driving product adoption and success across pre‑sales, post‑sales, and renewals. You will analyze customer IT Operations, advocate for their goals, and work with product, engineering, and services teams to shape feature requests and best practices.

The role emphasizes hands‑on technical expertise, cloud platform familiarity (AWS/Azure/GCP), scripting, CI/CD, and containerization.