Knowledge Management PM

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet.

The Team

The Knowledge Management (KM) team is a global function dedicated to building a robust internal knowledge ecosystem. The team treats internal knowledge assets as the core fuel for enterprise AI productivity, bridging the gap between traditional knowledge architecture and automated discovery to drive high-impact efficiency across the organization.

The Role:
The Knowledge Management (KM) PM will serve as the bridge between traditional knowledge architecture and the future of AI-driven enterprise productivity. Supporting the Global Head of KM, you will treat internal knowledge as high-octane fuel for AI models and retrieval systems.

This high-impact role requires a blend of deep technical acumen (Confluence advanced automation, metadata design, and AI/LLM integration) and exceptional interpersonal skills to influence cross-functional teams, lead change management, and act as a trusted advisor across the organization.

The work you’ll do

1. AI Integration, Prompting & Data Readiness

• Support the design and execution of KM strategies that prioritize AI-readiness, ensuring all knowledge assets are structured, clean, and chunked for optimal Retrieval-Augmented Generation (RAG) and search discovery.

• Actively develop, test, and refine prompt engineering libraries and context-injection frameworks for internal AI tools to maximize accuracy and minimize model hallucinations.

• Partner with the Head of KM to enforce a Global Knowledge Governance Model covering AI ethics, data lineage, privacy, and automated content validation.

• Establish robust metadata schemas and taxonomy structures optimized for next-generation vector search and LLM ingestion.

2. Deep Confluence Architecture & Technical Automation

• Serve as the resident Confluence Power User and Automation Expert, architecting scalable space hierarchies, page blueprints, and smart workflows using native automation, Smart Values, REST APIs, and third-party integrations (e.g., Jira, Slack/Teams/AI tools).

• Build and maintain automated archiving, stale-content flags, and approval workflows to maintain ecosystem hygiene with minimal manual intervention.

• Audit and optimize Confluence and connected knowledge repositories to reduce "noise," ensuring AI agents only pull from verified, authoritative sources.

3. Cross-Functional Collaboration & Stakeholder Leadership

The rest of this description is on the employer’s own page.