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project management confluence ai prompt engineering knowledge management📋 Description
- Bridge KM with AI-driven productivity; manage end-to-end KM projects.
- Ensure knowledge is structured, governed, and optimized for LLMs.
- Collaborate with the Global Head of KM and cross-functional teams.
- Support AI-ready KM strategies, governance, and metadata workflows.
- Lead KM-related projects in fast-paced AI rollouts.
🎯 Requirements
- Experience: 4–6 years in KM/Operations/Data Analysis.
- AI tools experience; KM taxonomies and metadata.
- Prompt engineering: craft prompts for AI discovery.
- Governance knowledge: data lineage, accuracy, and LLM risks.
- Project leadership: manage multiple complex KM projects.
- Stakeholder management: influence senior leaders on KM importance.
🎁 Benefits
- Pioneer innovation with the Celonis Process Intelligence Graph.
- Ownership from Day 1: RSUs and merit-based grants.
- Strong family support: parental leave and Wellbeing programs.
- Flexible hybrid model and generous PTO.
- Continuous growth: mentorship and learning platforms.
- Well-being and inclusion: wellbeing initiatives and Inclusion Days.
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