Senior Product Manager (German Speaking) — AI and Data Solutions

Commitment: Full-time Location: Germany; Austria; Romania Work type: remote

What You'll Do:

AI Product Strategy & Delivery
  • 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).
Data & Platform Initiatives
  • Lead large-scale data migration across AWS, Azure, GCP
  • Oversee data pipelines, transformation, governance, and APIs
  • Ensure data quality, security, compliance, and observability.
Agile Execution
  • Lead Agile processes, backlog grooming, and sprint planning
  • Break down complex features into incremental releases
  • Balance feature delivery with technical debt and architecture improvements.
Stakeholder Collaboration
  • Work with clients, engineers, data scientists, and UX teams
  • Translate technical solutions into business value
  • Run workshops, user research, and product validation.
Performance & Scaling
  • Define success metrics and analytics frameworks
  • Drive continuous improvement and root-cause analysis
  • Support product adoption and change management.

Why Join Us:

  • Lead top-tier engineering teams and cutting-edge agentic AI systems, enterprise AI platforms.
  • 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.

What You Bring:

Experience
  • 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
  • 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.

Core Skills:

  • 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.

Nice to Have:

  • Consulting or client-facing product experience; software development background
  • Domain expertise in financial services, healthcare, retail, or manufacturing
  • Certifications: CSPO, SAFe PO/PM, AWS/Azure/GCP Cloud Practitioner.
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