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 search intent. * Manage on-page content optimization, including metadata, structure, and internal linking * Analyze how Datadog content is surfaced, cited, and summarized across AI-assisted search and agentic platforms, and use those findings to guide content optimization. * 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. * Conduct keyword research and content gap analysis that inform content production and optimization. * Create content briefs and outlines that turn research findings into clear requirements for content development and optimization. * Monitor and report on the results of content optimization efforts, highlighting gains, losses, and opportunities across search rankings, earned citations, AI visibility, traffic, and user engagement.   Who You Are: * You have experience creating a high volume of technically accurate content for an engineering and developer audience. * You have a portfolio of content you’ve developed in previous roles and can show how your work contributed to measurable business results. * You have 3-5 years of hands-on SEO experience, with a focus on on-page content optimization. * You have 1-2 years of experience optimizing content for AI-assisted search and agentic platforms (ChatGPT, Claude, Gemini, Codex, etc.) * You are proficient with several SEO/AEO tools, such as Profound, Conductor, Semrush, Ahrefs, and Google Search Console. * You have 2-5 years of experience working as a technical content writer, journalist, or content strategist at an AI or SaaS company.  * You stay up to date on SEO, AEO, GEO, and AI trends and know how to translate industry changes into opportunities. 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:  * High income earning opportunities based on self performance * New hire stock equity (RSU) and employee stock purchase plan (ESPP) * Continuous professional development, product training, and career pathing  * Sales training in MEDDIC and Command of the Message  * Intra-departmental mentor and buddy program for in-house networking  * An inclusive company culture, opportunity to join our Community Guilds * Generous global benefits 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: $112,000—$140,000 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.