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

Provectus is a Premier AWS partner specializing in Artificial Intelligence solutions, providing bespoke applications, managed services, and advisory engagements. The company operates globally with offices in North America, LATAM, and EMEA, focusing on leveraging cloud, data, and AI to transform client operations and competitiveness.

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 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 and 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 using Claude workflows/routines or similar tools, and 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

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 including market analysis, ROI, and 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