Documentation Engineer

Job not on LinkedIn

🔥 0 minutes ago

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

💵 $180k - $250k / year

⏰ Full Time

🟠 Senior

🔴 Lead

👷🏻‍♀️ Engineer

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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LanceDB

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2022

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

LanceDB is the first open-source AI-Native Multimodal Lakehouse designed to handle complex AI data needs on a large scale. It offers a unified solution for multimodal data, integrating storage, search, feature engineering, and analytics into a single platform. This enables users to efficiently manage diverse data types and workflows, facilitating rapid iteration and deployment of AI models. With advanced capabilities such as hybrid search and optimized training pipelines, LanceDB is built for enterprises seeking to leverage their data effectively in AI applications.

📋 Description

• Create and maintain quickstarts, tutorials, conceptual guides, API references, and troubleshooting documentation for Lance and LanceDB • Design documentation that AI agents can use reliably, including structured API descriptions, explicit prerequisites, complete examples, and error and recovery guidance • Evaluate documentation through agent-driven tasks to identify missing context or ambiguous instructions • Build examples and sample applications for data ingestion, vector search, filtering, indexing, and multimodal data management • Use AI coding assistants and other AI tools to research the codebase, draft and revise content, generate examples, and automate maintenance • Verify AI-generated outputs against product behavior and tested code • Maintain documentation tooling and automate checks for code examples, API references, links, and content quality • Partner with engineering and product teams to document new features alongside releases • Keep existing guidance aligned with product changes • Improve documentation structure, navigation, and search • Use community questions, support feedback, and documentation usage to identify gaps and prioritize improvements • Represent LanceDB with open-source contributors, review documentation changes, and establish contribution guidelines

🎯 Requirements

• 8+ years of experience in documentation engineering, developer-focused technical writing, software engineering, or a related role • Proven track record of technical documentation, demonstrated through a portfolio explaining complex concepts clearly and helping developers complete real tasks • Experience designing documentation for consumption by AI agents • Fluency with AI tooling, including coding assistants and LLM-based workflows, with sound judgment about validating outputs • Strong Python skills and 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 • Ability to learn a product by reading code, experimenting with APIs, and collaborating with engineers • Strong editorial judgment and attention to technical accuracy • Ability to prioritize and work independently • Nice to have: experience documenting databases, data infrastructure, or AI and machine learning tools • Nice to have: familiarity with LanceDB, Lance, Apache Arrow, or related technologies • Nice to have: experience with TypeScript or Rust and documenting APIs across multiple languages • Nice to have: experience with documentation platforms, generated API references, and CI-based testing of code examples • Nice to have: experience building agent workflows, documenting tool interfaces, or evaluating agents against developer tasks • Nice to have: contributions to open-source projects or experience supporting a developer community • Legally authorized to work in the United States for any employer • Located in the United States or Canada

🏖️ Benefits

• Equity grants • Medical, dental, vision, and life insurance • 401(k) retirement plan • Flexible Spending Accounts (FSA) and Health Savings Accounts (HSA) • Commuter benefits • Generous paid time off • Paid parental leave program for birthing, non-birthing, adoptive, and foster parents