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AWSAzureMachine LearningArtificial Intelligence
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Role overview
Job description
The Learning Technology Specialist plays a vital role within the People Technology team by managing and supporting Datadog’s learning ecosystem. This role ensures platform stability, optimizes LMS operations, and delivers technical solutions that empower Datadog employees and partners to scale their learning and growth. At Datadog, we place value in our office culture—the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Provide Tier 2 and Tier 3 support for complex LMS and learning technology issues, investigating root causes, coordinating resolutions, and documenting outcomes. Maintain the vendor issue log and coordinate incidents across multiple internal and external stakeholders by gathering technical evidence, submitting c
…About this listing
- Listed from Datadog's careers site via Greenhouse · last confirmed on the source 23 Oct 2026
- Posted 20 Oct 2026
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What they are looking for
Skills & requirements
Qualification
Who You Are: You have 3+ years of experience administering or supporting learning technology, HR technology, business systems, or a comparable SaaS platform; You have a bachelor’s degree in business management, information systems, computer science, or a related field - or equivalent practical experience; We also consider qualified applicants regardless of criminal histories, consistent with legal requirements
Department · Human Resources
Hiring company
Datadog
We tackle some of the hardest technical problems while delivering a product that "just works" for our customers. And we are backed by some of the best VCs in NYC and the world. Do you want to make a difference? Are you exceptional at your job, and intrinsically motivated by it? Do you eat hard problems for breakfast and find them beautifully simple solutions by lunchtime? Do you ever wish you were there in the early days of these startups everyone is talking about? If so, we want to hear from you.
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