Senior Applied Value Engineer

Munich, Germany

Full Time

Posted September 16, 2026

€4k - €7k/mo· Est.

Application opens on company website

As a Senior Applied Value Engineer you push the envelope in solving mission-critical problems for our customers.

As Senior Applied Value Engineer, you are a strategic pioneer leading the charge in solving complex, business-critical problems for our customers. Working with our most strategic global accounts, you will diagnose their strategy and key operational challenges to discover and build tailored, domain-specific use cases . You will architect and prototype state-of-the-art AI and technical solutions on the Celonis platform, demonstrate their business impact to C-suite Executives, and ensure successful implementation, adoption, and value realization.
Native-level German proficiency is required for this role. Candidates must be able to lead customer workshops, conduct executive presentations, and manage stakeholder interactions in German.

Executive-Facing Presales & Value Engineering (5+ years): Demonstrated experience independently owning the technical close and driving compelling AI transformation narratives. Requires a proven background in accountable PoV execution, complex ROI/TCO modeling, and showcasing the "Art of the Possible" by pitching visionary solutions to hidden problems—with a clear track record of driving projects all the way through to achieved value.
Domain & Industry Expertise: Comprehensive knowledge of core operational workflows and industry landscapes (e.g., supply chain, finance). You can speak the language of C-suite executives and seamlessly connect complex, systemic bottlenecks to strategic AI solutions.
Software/Data Engineering: Python proficiency, modular API design, creating reusable libraries, advanced SQL, and scalable data integration using ML/AI frameworks (PyTorch, TensorFlow, scikit-learn, XGBoost, Hugging Face).
Strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
Degree: Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience preferred.
Native-level or near-native German language skills (written and spoken), with the ability to confidently engage German-speaking customers, facilitate workshops, and present to executive stakeholders.