Most Loved Workplace® Certified JobContent Optimization Specialist
Assessed by Most Loved Workplace®About the Role
At Datadog, a Most Loved Workplace® certified employer in the Technology space, Observe, Secure, and Optimize Modern Cloud Infrastructure at Scale.
<p>The Technical Content team is looking for an experienced Content Optimization Specialist who will help grow the visibility of Datadog across traditional search and AI-assisted search platforms. As part of the Community organization, you will optimize written and video technical content for search engines, answer engines, generative engines, and AI/LLM experiences while identifying new opportunities as audience needs and search behavior continue to evolve. You should understand how content is surfaced, cited, and summarized across traditional search, AI-assisted search, and agentic platforms. The ideal candidate has hands-on experience optimizing content that targets search demand from a highly technical audience and wants to apply their skills to the evolving AEO/GEO landscape.</p>
<p><em>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, in the office three days per week, to ensure our Datadogs can create a work-life harmony that best fits them.</em></p>
<p>&nbsp;<strong>What You’ll Do</strong>:</p>
<ul>
<li>Translate complex technical concepts into clear, well-structured content that aligns with audience-specific search intent.</li>
<li>Manage on-page content optimization, including metadata, structure, and internal linking</li>
<li>Analyze how Datadog content is surfaced, cited, and summarized across AI-assisted search and agentic platforms, and use those findings to guide content optimization.</li>
<li>Collaborate with cross-functional stakeholders across our Community, Marketing, and Product Management teams to ensure content aligns with SEO/AEO/GEO best practices and supports key growth initiatives.</li>
<li>Conduct keyword research and content gap analysis that inform content production and optimization.</li>
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