Content Optimization Specialist

Datadog

New York

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. 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. What You’ll Do: Translate complex technical concepts into clear, well-structured content that aligns with audience-specific sea

Requisitos

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.

Ref. PYNJS

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