Knowledge Architect
$134k - $179k • Remote • Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA
Posted 1d ago
Job Location
Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA
Tech Stack
Remote Work Policy
Fully remote
Categories
AI Engineer
About the job
The Knowledge Architecture team at CoreWeave is responsible for how the Product and Engineering organization captures, structures, and shares information. This team builds internal documentation, onboarding content, and technical education programs to help engineers find answers and become productive quickly. They also establish standards and create the ontology infrastructure to maintain knowledge accuracy as the company scales. As a Knowledge Architect, you will contribute dedicated documentation and knowledge infrastructure capacity, writing and maintaining technical documentation for Product and Engineering teams, including systems documentation, workflows, runbooks, and guides. You will also build and maintain onboarding content for new engineers and work with subject matter experts to capture undocumented knowledge.
Responsibilities
- Write, edit, and maintain internal technical documentation (systems documentation, workflows, runbooks, guides).
- Build and maintain onboarding and informational content for department and team spaces.
- Partner with engineering teams and subject matter experts to capture undocumented knowledge.
- Maintain knowledge assets in Confluence (space structure, navigation, labeling, content lifecycle).
- Support the AI Developer Tools Hub and other KA-maintained hubs.
- Manage documentation requests from intake to publication, communicating scope, timelines, and status.
- Run recurring audits of published documentation for accuracy, coverage, and discoverability, and remediate identified gaps.
Requirements
- Experience writing and maintaining technical documentation for a technical audience (systems documentation, runbooks, workflows, developer guides).
- Experience interviewing engineers or subject matter experts and converting information into published documentation.
- Experience owning content in Confluence or a comparable platform (page structure, navigation, labeling, templates).
- Demonstrated experience applying a documentation style guide and template set consistently.
- Experience using AI tools to scale and improve documentation output.
- Experience auditing existing documentation and remediating gaps in accuracy, coverage, or discoverability.
- Experience managing a request queue in Jira or a comparable system (scoping work, committing to delivery dates).
- Ability to prioritize and deliver across multiple concurrent stakeholder teams.