Senior / Staff Documentation Engineer

Role Description

TetraScience is the scientific data and AI company. Our documentation is how customers, from bench scientists to platform engineers, learn to build on the platform, and increasingly it is how AI agents consume the platform too. We are looking for a Documentation Engineer to own documentation as a system:

• Manage the pipelines that build and publish documentation.
• Oversee AI-augmented workflows that generate drafts for human review and refinement.
• Handle the review and publish process.
• Ensure infrastructure makes documentation reliably consumable by AI agents.

This is primarily a documentation systems role, not only a writer who uses tools. The differentiator is building and owning the systems that produce, validate, publish, and AI-enable our documentation. Strong writing and editorial judgment are still required, but the center of gravity is tooling and systems, and a large portion of the day-to-day is building.

• Lead the growth of our existing docs-as-code foundation and AI-assisted documentation workflows into a docs-as-AI-agents capability.
• Own editorial quality and the release-notes cadence while focusing on building leverage.
• Own the documentation site and its publishing as software: the docs-as-code repo, CI/CD publishing pipelines, build performance, and automated checks.
• Build and grow AI-augmented documentation workflows: AI-assisted drafting, summarization, classification, consistency and staleness checks, and a feedback loop for quality improvement.
• Structure and transform content for AI systems to reliably chunk, index, and reason over it.
• Generate reference documentation from source (OpenAPI and related specs) and maintain alignment with platform changes.
• Lower the barrier for internal contributors to ship their own docs through the docs-as-code workflow and reduce repetitive work through automation.
• Own the release-notes and customer-communications cadence with every platform release and run the SME review for accuracy and timeliness.
• Own the documentation style guide, hold the review-and-publish gate, and keep the team runbook current.

Qualifications

• 5+ years owning documentation tooling, content engineering, or developer documentation for a developer-platform or enterprise B2B product.
• Engineering ability in a scripting or web stack (e.g., Python, TypeScript, or JavaScript) and fluency with docs-as-code: Git, pull-request review, CI/CD, and a static-site or CMS publishing pipeline.
• Hands-on experience building AI-augmented or LLM-backed workflows: integrating LLM APIs, AI-assisted authoring, and structuring content for AI consumption.
• Ability to read and reason about a real codebase and API surface well enough to document it accurately and build tooling against it.
• Strong editorial judgment: ability to clarify dense engineering changes for customer safety.
• Bachelors or Masters degree in a technical field, or equivalent practical experience.

Requirements

• Experience making documentation consumable by AI agents (llms.txt, content negotiation, RAG pipelines, MCP servers).
• Experience in BioPharma or scientific software, or in regulated and validated (GxP) environments.
• Experience generating reference docs from OpenAPI or related specifications with two-way Git sync.
• Developer-relations or developer-education exposure.

Benefits

• 100% employer-paid benefits for all eligible employees and immediate family members.
• Unlimited paid time off (PTO).
• 401K.
• Flexible working arrangements - Remote work.
• Company paid Life Insurance, LTD/STD.
• A culture of continuous improvement where you can grow your career and get coaching.