Technical Account Manager 2 - New York

New York, New York, USA. Posted 3 days ago

The role

A Technical Account Manager provides hands-on technical services to large customers by supporting and providing guidance over Datadog products. The role involves advising on technical support, analyzing IT Operations environments, and acting as a customer advocate.

What you will do

Advise on technical support and product adoption for customers
Analyze customer IT Operations environment and provide recommendations
Suggest process changes, product adoption, configuration and additional features to customers
Participate and prepare for Monthly and Quarterly Business Reviews
Collaborate with product management, engineering and technical services teams
Evolve best practice to technical product adoption and customer success

Required qualifications

Solid technical grounding and hands-on experience of IT Operations
Hands on experience AWS, Azure or GCP
Comfortable scripting languages like Python, Javascript, Ruby, Perl, Go, PHP, or Chef/Puppet etc.
Skilled in using CI/CD tools e.g. Jenkins, Gitlab etc.
Knowledgeable about Containerization tools e.g. Docker, Kubernetes or Rancher etc.
Able to sit up to 4 hours
Able to travel via auto, train or air up to 20% of the time

Nice to have

Previous experience working as a TAM supporting mid-market and/or Enterprise customers in the cloud space
Experienced using Datadog and/or other cloud monitoring tools
Fluent, daily user of AI tools

Benefits

Best-in-breed onboarding
Generous global benefits
Intra-departmental mentor and buddy program
New hire stock equity (RSUs)
Employee stock purchase plan (ESPP)
Continuous professional development, product training, and career pathing
Inclusive company culture
Healthcare, dental, parental planning, and mental health benefits
401(k) plan and match
Paid time off
Fitness reimbursements

About the company

Datadog is an observability and security platform providing unified visibility across the technology stack. It is used by Fortune 500 companies and high-growth AI leaders to manage complexity at scale.