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

Österreich🌐 Remote💼 Full-time🗓 2026-05-02 → 2026-08-08

Required skills

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

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, 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

Seniority

Senior

Domain

AI and Data Solutions

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