Senior Documentation Engineer

The role

You will make Lance and LanceDB easier to understand and use in production. You will work at the intersection of engineering, technical writing, and developer experience to turn complex data infrastructure concepts into clear explanations and working examples.

What you will do

• Create and maintain quickstarts, tutorials, conceptual guides, API references, and troubleshooting documentation.
• Design documentation for AI agents to use reliably.
• Build runnable examples and sample applications for workflows like data ingestion and vector search.
• Use AI coding assistants and tools to research codebase, draft content, and automate maintenance.
• Maintain documentation tooling and automate checks for code examples and API references.
• Partner with engineering and product teams to document new features.
• Improve documentation structure, navigation, and search.
• Identify documentation gaps using community questions and support feedback.
• Represent LanceDB with open-source contributors and establish contribution guidelines.

Required qualifications

• 8+ years of experience in documentation engineering, developer-focused technical writing, software engineering, or a related role
• Proven track record of technical documentation shown through a portfolio
• Experience designing documentation for consumption by AI agents
• Demonstrated fluency with AI tooling, including coding assistants and LLM-based workflows
• Strong Python skills and the ability to write, run, and debug examples using APIs and SDKs
• Familiarity with databases, SQL, and data workflows
• Experience with Git, pull requests, Markdown, and documentation workflows integrated with software development
• Ability to learn a product by reading code, experimenting with APIs, and collaborating with engineers
• Strong editorial judgment, attention to technical accuracy, and the ability to prioritize and work independently

Nice to have

• Experience documenting databases, data infrastructure, or AI and machine learning tools
• Familiarity with LanceDB, Lance, Apache Arrow, or related technologies
• Experience with TypeScript or Rust and documenting APIs across multiple languages
• Experience with documentation platforms, generated API references, and CI-based testing of code examples
• Experience building agent workflows, documenting tool interfaces, or evaluating agents against developer tasks
• Contributions to open-source projects or experience supporting a developer community

About the company

LanceDB is the AI-native Multimodal Lakehouse where researchers curate petabytes of video, audio, and other signals. Customers like Runway, Midjourney, and Netflix build the future of AI on LanceDB.