Own the product vision, roadmap, and backlog for Agentic AI and Generative AI solutions Translate business requirements into product features, user stories, acceptance criteria, and delivery priorities Lead products from discovery and MVP definition through development, deployment, and continuous improvement Collaborate with clients, business stakeholders, architects, AI engineers, software developers, and data teams Define product capabilities using knowledge of LLMs, RAG architectures, AI agents, orchestration frameworks, evaluation methods, guardrails, and human-in-the-loop patterns Define and monitor product success metrics covering business value, adoption, quality, reliability, cost, and AI performance Ensure adherence to Responsible AI principles, governance standards, security requirements, privacy regulations, and compliance policies Facilitate stakeholder workshops and identify opportunities to leverage AI for business transformation Support business development, solution shaping, and proposition development within the AI practice Stay current with Generative AI, Agentic AI, and cloud technology advancements Requirements

Degree in Computer Science, Information Systems, Engineering, Business, Data Science, or a related discipline, or equivalent professional experience Significant experience as a Product Owner, Product Manager, Technical Product Manager, or similar role delivering technology products Proven experience developing and delivering Generative AI and/or Agentic AI solutions Strong understanding of LLM technologies and architectures, including RAG, embeddings, AI agents, tool calling, prompt engineering,



evaluation frameworks, and guardrails Experience working with Agile delivery methodologies and product backlog management Knowledge of APIs, cloud architectures, enterprise integrations, and modern software delivery practices Experience with Azure, AWS, or Google Cloud Platform Strong stakeholder management, communication, and presentation skills, with the ability to engage technical and business audiences Experience in a client-facing consulting environment is desirable Passion for innovation and strong interest in AI-enabled business transformation Core Competencies

Demonstrates expertise in product management for AI solutions, with a strong focus on Generative AI and Agentic AI technologies. Capable of translating business needs into actionable product features while ensuring adherence to Responsible AI principles and governance standards. Highest-signal resume keywords

Product Management Generative AI Solutions LLM Technologies Agile Delivery Methodologies Stakeholder Management ATS Optimization Keywords

Hard Skills

Product Vision Roadmap Development User Story Creation Acceptance Criteria Definition Product Success Metrics AI Performance Evaluation Prompt Engineering APIs Cloud Architectures Enterprise Integrations Soft Skills

Communication Skills Presentation Skills Stakeholder Engagement Collaboration Industry Keywords

Responsible AI Principles Governance Standards Privacy Regulations Business Transformation Client-Facing Consulting Tools & Technologies

Azure AWS Google Cloud Platform Orchestration Frameworks Evaluation Frameworks

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📌 Senior Product Owner – Agentic AI (Madrid)
🏢 Jobtailor
📍 Madrid