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Celonis is seeking a Senior Application Product Manager to lead the evolution of its Supply Chain and Procurement solutions. You will operate at the intersection of customer-facing solution engineering and core product innovation, architecting and deploying enterprise AI solutions using the Celonis Context Model and advanced decision intelligence.
In this hybrid role based in Madrid, you will partner directly with strategic customers to build bespoke, composable procurement and supply chain architectures. You'll leverage modern AI tooling and LLM-based coding agents to abstract field insights into reusable semantic libraries, accelerating Celonis' global agentic deployment workflows. The role is hands-on: you'll prototype on the platform, wire up data, build AI-driven solutions, and iterate directly with end users.
Key responsibilities include:
- Conducting collaborative discovery workshops to uncover operational inefficiencies and map customer needs into clear technical scopes and solution blueprints
- Executing hands-on deployments of customer-specific context models, data structures, and end-to-end supply chain blueprints within the Celonis platform
- Owning customer deployments end-to-end from kickoff to live production, presenting architectural solutions and strategic value narratives to cross-functional stakeholders and executives
- Designing, validating, and testing use-case-specific decision intelligence functions, including optimization algorithms and predictive models
- Deconstructing monolithic application architectures and translating deployment learnings into reusable semantic entities and modular context libraries
You'll need 4+ years in a technical, customer-facing hybrid role such as Solution Engineer, Product Engineer, Technical Product Manager, or Implementation Consultant. Deep knowledge of supply chain and procurement workflows is essential—you should speak fluently with C-suite executives and connect complex systemic bottlenecks to strategic AI solutions. You must be expert in data analysis and modeling (SQL, Python, PQL), with advanced architectural mastery of LLM orchestration, tool use, RAG, agents, and agentic patterns. Hands-on exposure to enterprise architectures, ERP systems (SAP, Oracle), and MRP logic is required.
