Senior Technical Writer

Responsibilities

• 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.

Requirements

• 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.

Nice-to-Haves

• Familiarity with how documentation is consumed by AI systems (llms.txt, RAG-friendly chunking, MCP, AI-search visibility).
• Hands-on experience using LLMs in a content workflow (drafting, evaluating output quality).
• Basic scripting/automation exposure (Python, JavaScript, or similar).