Senior Product Manager (German Speaking) — AI and Data Solutions
Germany / Austria / RomaniaFull-TimeSenior
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Languages
- Advanced English and German language skills.
- Experience
- 5–7+ years in product management (0→1 and scaling) 3–5+ years with AI/ML, GenAI, or data platforms
- Required Skills
- AWSAgileArtificial IntelligenceFigmaGCPGitMicrosoft Power BIProduct ManagementSCRUMJiraTableauAzureRESTful APIsData modelingConfluencePrompt EngineeringLLMMLOpsGenerative AILangChain
Requirements
- 5–7+ years in product management (0→1 and scaling)
- 3–5+ years with AI/ML, GenAI, or data platforms
- Strong Agile/Scrum experience
- Experience in a client-facing / consulting environment
- Advanced English and German language skills
- Technical expertise in GenAI: prompt engineering, RAG, embeddings, vector DBs
- Technical expertise in Agentic AI: LangChain, AutoGPT, CrewAI
- Technical expertise in Data: ETL/ELT, data modeling, migration strategies
- Technical expertise in Cloud: AWS, Azure, GCP + platforms (Snowflake, Databricks, BigQuery)
- Familiarity with MLOps, model deployment, AI observability
- Tools: Jira, Confluence, Figma, Tableau/Power BI, Git
- Design thinking, data-driven decision making, strong communication, and storytelling
- Bias toward action; thrives in ambiguity with structured problem-solving
- Engineering thinking, understanding of AI-native development toolset
- Fluent in AI-powered automation, with hands-on experience building productivity tools
Responsibilities
- Define product vision and roadmaps for GenAI/LLM solutions (GPT-4, Claude, Llama, Gemini), RAG, and Agentic AI
- Own end-to-end product lifecycle (0→1 and scale) aligned with business KPIs
- Build business cases (market analysis, ROI, competitive positioning)
- Lead large-scale data migration across AWS, Azure, GCP
- Oversee data pipelines, transformation, governance, and APIs
- Lead Agile processes, backlog grooming, and sprint planning
- Work with clients, engineers, data scientists, and UX teams
- Translate technical solutions into business value
- Define success metrics and analytics frameworks
- Support product adoption and change management
View Full Description & ApplyYou'll be redirected to the employer's site