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À propos de ce poste Learning Technology Specialist chez Datadog

Datadog · Sur site · New York, New York, USA

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 clear issue reports, tracking progress, testing fixes, and communicating updates.
  • Participate in platform upgrades, release testing, and continuous-improvement initiatives, creating and maintaining related process and technical documentation, testing plans, release notes, and knowledge resources.
  • Contribute to the adoption of automation and AI capabilities within the learning technology ecosystem.
  • Support the administration and optimization of the LMS, including configurations, permissions, enrollments, learning content, reporting, and data quality.
  • Coordinate reviews of the learning technology stack and support integrations between the LMS and systems such as HRIS, identity management, content providers, reporting platforms, and other learning tools.

 

Who You Are:

  • You have 3+ years of experience administering or supporting learning technology, HR technology, business systems, or a comparable SaaS platform. Experience with Docebo is strongly preferred.
  • You have a bachelor’s degree in business management, information systems, computer science, or a related field - or equivalent practical experience.
  • You are familiar with system integrations, APIs, data flows, authentication, and provisioning concepts such as SSO.
  • You are knowledgeable about digital-learning and authoring tools, such as Articulate 360, and common learning content standards, including SCORM.
  • You are a structured problem-solver who can investigate technical issues, identify root causes, and coordinate solutions across internal teams and external vendors.
  • You are process-oriented, produce clear and maintainable documentation, and can coordinate work across multiple stakeholders, priorities, and timelines.

 

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

 

Benefits and Growth: 

  • Generous and competitive benefits package
  • New hire stock equity (RSUs) and employee stock purchase plan
  • Continuous career development and pathing opportunities 
  • Product training to develop an in-depth understanding of our product and space
  • Best in breed onboarding
  • Internal mentor and buddy program cross-departmentally
  • Friendly and inclusive workplace culture 

 

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.

The reasonably estimated yearly salary for this role at Datadog is:
$101,000—$135,000 USD

About Datadog: 

Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.


Equal Opportunity at Datadog:

Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. 

Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. 

Privacy and AI Guidelines:

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

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À propos de 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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