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 - Cloud (AWS) (Madrid)
🏢 Jobtailor
📍 Madrid