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.

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

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.