Senior Technical Writer - Core Docs - Documentation
ElasticHungaryPosted 24 February 2026
Job Description
<div class="content-intro"><p>Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.</p></div><h3><strong>What is The Role</strong></h3>
<p>We are seeking a <strong>Senior Technical Writer</strong> to join a team of writers dedicated to our most sophisticated search and AI capabilities! You'll act as a lead contributor and collaborator, bridging the gap between our core engine developers and the global community of data scientists and engineers building the next generation of AI-powered applications.</p>
<p>From <strong>vector embeddings</strong> to <strong>Retrieval-Augmented Generation</strong>, you will share stewardship of the narrative for how the world implements Search AI at scale.</p>
<p>Does this sound like the job for you? Check out our docs, tinker with our products, and think about where you fit in! Show us your writing chops and tell us what you can bring to the role. Upload writing samples, or provide links to your portfolio or GitHub contributions.</p>
<h3><strong>What You Will Be Doing</strong></h3>
<ul>
<li>Work within a dedicated docs team to co-own documentation for the latest features, including vector search, NLP tasks, and LLM integrations. You’ll translate raw engineering specifications and under-the-hood mechanics into high-quality tutorials, API references, and conceptual guides that align with team-wide standards.</li>
<li>Partner with fellow writers to organize complex, multi-layered technical content, ensuring a seamless and logical experience for both beginner developers and expert data scientists. Contribute to our shared Git-based doc workflow, using Markdown and static site generators to maintain a high-velocity documentation pipeline.</li>
<li>Deep-dive into the product by testing API endpoints, while providing thoughtful, constructive feedback through peer review to ensure our documentation is production-ready.</li>
<li>Work closely with Engineering, Product Marketing, and Support to deliver a consistent, developer-centric narrative that reflects the voice of the docs team.</li>
</ul>
<h3>What You Bring</h3>
<ul>
<li><strong>5+ years in a SaaS or Developer-focused environment</strong> writing customer-facing documentation. A deep understanding of the technical writing craft and how to lead content strategy.</li>
<li><strong>Deep Expertise in Search AI:</strong> A solid grasp of vector embeddings, NLP, and the nuances of integrating Large Language Models into a search stack.</li>
<li><strong>API Documentation Mastery:</strong> Proficiency in documenting RESTful APIs and are comfortable using tools like <strong>Postman</strong> or <strong>cURL</strong> to test endpoints and explain complex request/response schemas.</li>
<li><strong>Technical Proficiency:</strong> Can read and understand code snippets in <strong>Python</strong> (specifically for ML libraries) and <strong>JSON</strong> (for Elasticsearch queries and ingest pipeline configurations). Understand data structures and how search works—including indexing, mapping, and how vector search differs from traditional keyword search.</li>
<li><strong>"Docs as Code" Mentality:</strong> Proficiency in using <strong>Git, GitHub, and Markdown</strong>. You thrive in a workflow where documentation is treated with the same care as code.</li>
<li><strong>Strong Information Architecture Skills:</strong> Organization of large, interrelated technical content so it remains scannable and log ... (truncated, view full listing at source)
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