Senior Technical Account Manager — Cloud & Observability

Datadog; New York (NY); Hybrid; USD 124,000 - 182,000; Full time

Benefits offered by this job

Onboarding

Global benefits

Mentor program

RSUs + ESPP

Professional development

Inclusion culture

Job summary

Datadog is seeking a Technical Account Manager (TAM) to join our in‑house product experts. You will deliver hands‑on technical services, advise on product adoption, and support customers through pre‑sales, post‑sales and renewal activities to drive success.

A strong IT Operations background is required, with hands‑on cloud experience (AWS, Azure or GCP), scripting skills, and familiarity with Docker and Kubernetes.

Qualifications

• Solid technical grounding with hands-on IT Operations experience.
• Experience with AWS, Azure or GCP.
• Proficient in scripting languages (Python, JavaScript, Ruby, Go, etc.).
• Familiar with containerization tools Docker/Kubernetes (and Rancher).
• Experience as a TAM supporting mid-market/Enterprise cloud customers.

Responsibilities

• Advise on technical support and product adoption across pre‑sales, post‑sales, and renewal processes.
• Analyze customers’ IT Operations environments and recommend actions to maximize Datadog value.
• Be the customer advocate by understanding goals and suggesting process changes, product adoption and configurations.
• Prepare and participate in Monthly and Quarterly Business Reviews with customers.
• Collaborate with product management, engineering, and technical services teams to identify new features and products.
• Evolve best practices for technical product adoption and customer success.

Skills

IT Operations

AWS

Azure

GCP

Scripting

Datadog experience

Travel readiness

Tools

Docker

Kubernetes

Rancher

Jenkins

GitLab

Job description

Datadog is seeking a Technical Account Manager (TAM) to join our in‑house product experts. You will deliver hands‑on technical services, advise on product adoption, and support customers through pre‑sales, post‑sales and renewal activities to drive success.

A strong IT Operations background is required, with hands‑on cloud experience (AWS, Azure or GCP), scripting skills, and familiarity with Docker and Kubernetes.