
Senior Solution Manager – AI, Data Solutions
Posted May 20

Posted May 20
This is a fully remote position, open to applicants in Germany.
• Establish the product vision and roadmaps for GenAI/LLM solutions (GPT-4, Claude, Llama, Gemini), RAG, and Agentic AI.
• Manage the complete product lifecycle (from conception to scaling) in alignment with business KPIs.
• Develop business cases that include market analysis, ROI, and competitive positioning.
• Lead extensive data migration efforts across AWS, Azure, and GCP platforms.
• Supervise data pipelines, transformations, governance, and APIs.
• Ensure the quality, security, compliance, and observability of data.
• Facilitate Agile processes, including backlog grooming and sprint planning.
• Decompose complex features into manageable incremental releases.
• Balance the delivery of features with addressing technical debt and enhancing architecture.
• Collaborate with clients, engineers, data scientists, and UX teams.
• Convert technical solutions into business value.
• Conduct workshops, user research, and product validation activities.
• Define success metrics and create analytics frameworks.
• Promote continuous improvement and perform root-cause analyses.
• Assist in product adoption and manage change effectively.
• 5–7+ years of experience in product management (from conception to scaling).
• 3–5+ years of experience with AI/ML, GenAI, or data platforms.
• Strong background in Agile/Scrum methodologies.
• Experience in a client-facing or consulting role.
• Proficient in English and German languages.
• Knowledge of GenAI concepts: prompt engineering, RAG, embeddings, vector DBs.
• Familiarity with Agentic AI technologies: LangChain, AutoGPT, CrewAI.
• Understanding of data processes: ETL/ELT, data modeling, and migration strategies.
• Experience with cloud platforms: AWS, Azure, GCP and related technologies (Snowflake, Databricks, BigQuery).
• Competence in MLOps, model deployment, and AI observability.
• Proficiency with tools such as Jira, Confluence, Figma, Tableau/Power BI, and Git.
• Lead elite engineering teams and pioneering agentic AI systems along with enterprise AI platforms.
• Influence how organizations implement AI—from strategic planning to architecture and execution.
• Advance your career within a team focused on developing modern AI delivery practices, tools, and frameworks.
• Enjoy a remote-friendly culture that emphasizes robust engineering, data, and consulting partnerships.
EverAI
10x.Team
EverAI
Invisible Technologies
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