Main objective of the job:

Drive the development and optimization of AI-enabled training and conversational solution offerings by translating customer requirements into scalable concepts, building functional low-code/no-code prototypes to enable sales and demonstrate value, and ensuring data-driven product performance and process efficiency.

Main attributions and responsibilities:

Gather, analyze, and translate customer requirements into strategic target concepts and functional designs for training and AI solutions.
Develop and configure hands-on, low-code/no-code Proof of Concepts (PoCs) (such as chatbots, voicebots, and research agents) to enable the sales team and make product potential tangible for customers.
Monitor global technology trends (such as transcription models and conversational AI features) and actively contribute to the definition and evolution of the strategic product roadmap.
Define, implement, and manage a smart key performance indicator (KPI) system, visualizing product performance in meaningful dashboards.
Identify optimization opportunities within service and support processes (e.g., via task or process mining) and drive automation initiatives to increase operational efficiency.
Read, understand, and apply the procedures from the area of responsibility and other interdepartmental procedures applicable within the company.
Fulfill any other tasks related to the area of responsibility, as requested by the direct superior.

Studies:

University Degree in Business Informatics, Industrial Engineering, Business Administration, or a comparable hybrid business-tech field
High school Diploma

Knowledge and Skills:

Languages: English
Business-IT Mindset: Strong affinity for IT and AI technologies, acting as a "business user with deep IT context" rather than a traditional software developer.
Low-Code/No-Code Tech Stack: Initial experience or strong willingness to build on cloud platforms, specialized AI tools, and automation suites (nice-to-have: Google Cloud CX Agent Studio, Paloa, ElevenLabs, Sleak AI, or similar programming/automation apps).
Technical Basics: Solid conceptual understanding of technical interfaces (e.g., APIs, OAuth authentication) and the ability to read and apply technical documentation.
AI Familiarity: Practical experience using common AI applications in a professional/daily context, including an understanding of prompt engineering to guide AI models.
Analytical Power: Highly developed analytical and conceptual thinking skills, with the ability to structure and solve complex problems systematically.
Communication & Presentation: Strong communication skills, with the ability to bridge the gap between business and technology and clearly explain tech topics to diverse audiences.
Working Style: Structured, goal-oriented, results-driven, and highly collaborative in global, cross-functional teams

Product Management Support