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LanceDB is an AI-native Multimodal Lakehouse enabling researchers and AI teams to curate and manage petabytes of multimodal data (video, audio, derived signals) with Python. Customers including Runway, Midjourney, and Netflix use LanceDB to build frontier models, world models, robots, and autonomous vehicles.
As Documentation Engineer, you will own documentation as a core product function, bridging engineering, technical writing, and developer experience. You'll make Lance and LanceDB easier to understand, adopt, and use in production by turning complex data infrastructure concepts into clear explanations and working examples.
Key responsibilities:
- Create and maintain quickstarts, tutorials, conceptual guides, API references, and troubleshooting documentation for Lance and LanceDB
- Design documentation that AI agents can reliably consume, including structured API descriptions, explicit prerequisites, complete examples, and clear error/recovery guidance; evaluate through agent-driven tasks to identify gaps
- Build runnable examples and sample applications demonstrating workflows: data ingestion, vector search, filtering, indexing, multimodal data management
- Use AI coding assistants and LLM tools to research codebase, draft and revise content, generate examples, and automate maintenance; verify outputs against product behavior
- Maintain documentation tooling and automate checks for code examples, API references, links, and content quality
- Partner closely with engineering and product teams to document new features alongside releases and keep guidance aligned with product changes
- Develop and improve documentation structure, navigation, and search to support developers at each stage of their journey
- Use community questions, support feedback, and usage analytics to identify gaps and prioritize improvements
- Represent LanceDB with open-source contributors, reviewing documentation changes and establishing contribution guidelines
Requirements:
- 8+ years of experience in documentation engineering, developer-focused technical writing, software engineering, or related role
- Proven track record of technical documentation with portfolio demonstrating ability to explain complex concepts clearly and help developers complete real tasks
- Experience designing documentation for consumption by AI agents, with understanding of how content structure, context, and API clarity affect agent performance
- Demonstrated fluency with AI tooling (coding assistants, LLM-based workflows) and sound judgment validating outputs
- Strong Python skills; ability to write, run, and debug examples using APIs and SDKs
- Familiarity with databases, SQL, and data workflows; interest in learning vector search and multimodal AI infrastructure
- Experience with Git, pull requests, Markdown, and documentation workflows integrated with software development
- Demonstrated ability to learn products by reading code, experimenting with APIs, and collaborating with engineers
- Strong editorial judgment, attention to technical accuracy, ability to prioritize and work independently
Nice to have:
- Experience documenting databases, data infrastructure, or AI/ML 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, CI-based testing of code examples
- Experience building agent workflows, documenting tool interfaces, or evaluating agents
- Open-source contributions or developer community support experience
