Company
SIXT
Location
Munich, Germany
Employment type
Full-time
Seniority
Senior
Primary category
Product Management
Posted date
25 Feb 2026
Valid through
26 Apr 2026
As Product Owner - AI Customer Service (m/f/d), you will drive innovative customer service solutions for SIXT in a global omnichannel ecosystem. Leading the development of AI-powered customer inquiry automations, enhancing case classification models, and designing knowledge retrieval systems, you will elevate the customer experience across channels. Your responsibilities include managing the full product lifecycle—from requirements gathering to market launch and model performance tracking—while advancing the Customer Service AI Solutions roadmap. Sounds interesting? Apply now and join our team in Pullach near Munich.
YOUR ROLE AT SIXT
You develop innovative, customer-oriented AI solutions for case deflections & automations, case classification, and knowledge retrieval systems in a global Customer Service ecosystem
You define and drive the AI solution roadmap for Customer Service Transformation to significantly increase automation levels
You own and oversee the entire product lifecycle from requirements gathering to market launch, collaborating closely with our GenAI Engineering team
You define evaluation and analytics frameworks to ensure best-in-class model selection and continuously optimize AI solution performance
You foster innovation by analyzing market trends and evaluating current tooling and model landscapes (e.g. Cognigy, Salesforce Service Cloud, Genesys)
You collaborate with a wide range of stakeholders—including Customer Service operations, IT, Engineering, and business functions—aligning with decision-makers up to C-level
YOUR SKILLS MATTER
Experience You have several of proven experience in digital Product Management (discovery and delivery) in an agile environment (Scrum/Kanban), successfully driving data- or AI-based products end-to-end
Tools You possess hands-on experience with AI/ML or conversational AI solutions (e.g. chat/voice bots, case classification, knowledge retrieval) and ideally with platforms such as Cognigy, Salesforce Service Cloud, or Genesys
Model Evaluation & Analytics You are adept in defining and interpreting evaluation metrics for AI models—especially for case classification (accuracy, precision/recall, routing quality, automation impact)—using insights to enhance performance
Knowledge Systems You have experience with AI-driven knowledge management or retrieval systems (e.g. search, RAG-based solutions) and are skilled at gathering, structuring, and preparing knowledge requirements for effective AI-powered responses
Self-Starter & Result-Orientation You possess excellent logical, analytical, and strategic skills; structure your work efficiently; set clear goals and metrics; make data-driven decisions; and continuously optimize the business impact of your AI solutions
Communication You have experience in multicultural stakeholder management across functions such as Customer Service, IT, Engineering, and business teams, with strong skills in consensus-building and decision-making
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