Key skills
AWSAzureBigQueryCloudETLGoogle Cloud PlatformTableauAIMLGenAILLMClaudeGeminiLlamaRAGLangChainAgenticMLOpsELTAnalyticsBIPower BISnowflakeDatabricksGCPGoogle CloudGitJiraConfluenceAgileScrumChange ManagementFigmaUser ResearchProduct ManagementCommunicationDecision Making
About this role
Role Overview
- 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
- Ensure data quality, security, compliance, and observability
- Lead Agile processes, backlog grooming, and sprint planning
- Break down complex features into incremental releases
- Balance feature delivery with technical debt and architecture improvements
- Work with clients, engineers, data scientists, and UX teams
- Translate technical solutions into business value
- Run workshops, user research, and product validation
- Define success metrics and analytics frameworks
- Drive continuous improvement and root-cause analysis
- Support product adoption and change management
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 client-facing / consulting environment
- Advanced English and German language skills.
- GenAI: prompt engineering, RAG, embeddings, vector DBs
- Agentic AI: LangChain, AutoGPT, CrewAI
- Data: ETL/ELT, data modeling, migration strategies
- Cloud: AWS, Azure, GCP + platforms (Snowflake, Databricks, BigQuery)
- 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 for yourself or your team using Claude workflows/routines or similar tools, as well as automation platforms like n8n or equivalent.
- Creativity, with experience building prototypes using Claude Code or similar tools.
Tech Stack
- AWS
- Azure
- BigQuery
- Cloud
- ETL
- Google Cloud Platform
- Tableau
Benefits
- Lead top-tier engineering teams and cutting-edge agentic AI systems
- Shape how enterprises adopt AI — from strategy to architecture to delivery.
- Grow within a team building modern AI-delivery practices, tools, and frameworks.
- Remote-friendly culture with strong engineering, data, and consulting partnerships.