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Senior Technical Writer

Starburst
CompanyStarburst
CategoryEngineering
LocationBoston
RemoteOn-site (inferred)
EmploymentNot stated
LevelSenior
SalaryNot stated by the employer
Posted15 Jul 2026
Last verified3 Aug 2026
SourceEmployer career page (greenhouse)
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Description
About Starburst Starburst delivers enterprise intelligence at scale by giving organizations secure, governed access to all their data, wherever it lives. Built for distributed data environments, Starburst helps enterprises power AI and analytics without the cost and complexity of traditional data consolidation. With open standards including Trino and Apache Iceberg, Starburst enables trusted access to complete enterprise context while helping organizations avoid vendor lock-in. Leading global enterprises trust Starburst to fuel AI, analytics, and enterprise intelligence. Learn more at starburst.ai . About the role We're looking for a Senior Technical Writer who brings craft and strategic instinct to the discipline. We want someone who can own complex documentation initiatives end to end, influence how content is structured and delivered at scale, operate with authority in a fast-moving, highly technical environment, and help their team succeed with AI-assisted tooling. As a Senior Technical Writer at Starburst, you will: Own the planning, writing, and continuous improvement of highly technical documentation, including configuration, deployment, integration, and query reference content. Partner directly with software engineers, product managers, and subject matter experts to extract accurate technical detail and drive timely review cycles, including setting deadlines and driving stakeholder alignment. Lead documentation work tied to major platform and product initiatives. Evaluate and develop content for AI consumability and discoverability, including how documentation performs in LLM-mediated search and developer evaluation contexts. Apply a structured content approach to ensure documentation serves the right audience at the right stage of their journey, from evaluation through advanced use. Contribute to documentation standards, style guidelines, and peer review processes across the team. Serve as a senior voice in cross-functional planning, advocating for documentation requirements in the product development lifecycle. Partner on piloting AI-assisted drafting tools: evaluate output quality, help define what a human must verify before publication, and help build workflows where AI assistance meaningfully improves content and reduces toil. Contribute content expertise to docs replatforming initiatives by representing structured-content and authoring requirements in tooling evaluations. Some of the things we look for: 7+ years of technical writing experience, with a strong portfolio of developer-facing or data infrastructure documentation. Writing samples required. Demonstrated ability to work autonomously in ambiguous, fast-paced environments and make sound content decisions without close supervision. Experience owning documentation for complex SaaS, cloud, or data platform products. Proven ability to manage SME relationships decisively, including driving review cycles and escalating blockers. Proficiency with docs-as-code workflows: Git/GitHub, Markdown, and static site generators. Experience with or strong interest in content architecture, structured authoring, and emerging documentation platform tooling. Excellent written communication in US English. Bachelor's degree in a technical field or equivalent professional experience. Strong plus: familiarity with how documentation is consumed by AI systems (llms.txt, RAG-friendly chunking, MCP, AI-search visibility), or hands-on experience using LLMs in a content workflow (drafting, evaluating output quality). Nice to have: basic scripting/automation exposure (Python, JavaScript, or similar). Where could this role be based? Remote, with a preference for the US East Coast time zone Starburst is dedicated to maintaining fair and equitable compensation practices. The salary range provided for this role reflects the minimum and maximum targets for candidates across all U.S. locations and could be inclusive
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