Knowledge Manager
A specialized role responsible for maintaining the structured, accurate content that AI Agents depend on. Owns macros, snippets, help articles, and knowledge base architecture to ensure AI has reliable, current, and scalable information sources.
The Foundation of AI Performance
AI Agents are only as good as their inputs. The Knowledge Manager ensures that the content layer feeding the AI Agent is reliable, current, and scalable. This includes managing help content, macros, snippets, and maintaining proper taxonomy and content architecture.
This role requires a background in content operations, enablement, or support, combined with skills in writing, taxonomy, and content architecture. The Knowledge Manager doesn't just create content—they design and maintain the knowledge infrastructure that makes AI Agent automation possible.
Treating Content as Infrastructure
Advanced teams treat knowledge management as competitive infrastructure, not just a support function. They ensure:
- Every topic has a clear owner
- Content is structured, versioned, and ingestion-ready for AI
- New products ship with source-of-truth content by default
- Changes are shipped on a schedule, not when someone finds time
This infrastructure layer often separates teams that scale confidently from those that plateau. Without it, every AI improvement is harder and performance remains inconsistent.