Technology Product & Platform Management Role Overview The Lead AI Engineer & Technical Product Owner is responsible for driving the design, development, and delivery of AI‑powered solutions that create measurable business value. The role combines deep expertise in Data Science and Machine Learning with strong delivery leadership, Agile execution, and product ownership capabilities. The Lead AI Engineer acts as the technical leader for AI squads, guiding multidisciplinary teams across Data Science, Data Engineering, Software Engineering, and Business Analysis functions to deliver scalable, production‑ready AI products and services.

This role owns the end‑to‑end lifecycle of AI solutions, from ideation and requirements definition through development, deployment, adoption, and operational excellence, while ensuring alignment with business priorities, technical standards, and enterprise governance.

Key Responsibilities Partner with business stakeholders to identify, prioritize, and deliver AI use cases aligned to strategic objectives. Act as Technical Product Owner (TPO) for AI products and platforms, managing backlog prioritization and roadmap execution. Translate business requirements into actionable technical epics, features, and user stories.

Drive adoption of AI solutions by ensuring measurable business outcomes and user satisfaction. Design, develop, and deploy Machine Learning, Predictive Analytics, Generative AI, and Agentic AI solutions. Lead model lifecycle activities including experimentation, training, validation, deployment, monitoring, and continuous improvement.

Establish engineering best practices covering MLOps, model governance,



performance monitoring, and operational support. Ensure AI solutions are scalable, secure, maintainable, and compliant with enterprise standards. Collaborate closely with Data Engineers to design trusted, reusable, and governed data assets.

Support the creation of robust data pipelines required for AI development and operationalization. Drive integration of structured and unstructured data sources across enterprise platforms. Contribute to AI and Data Platform architecture decisions to improve scalability and reuse.

Lead Agile squads delivering AI products and capabilities across multiple business domains. Facilitate sprint planning, backlog refinement, retrospectives, and delivery governance activities. Remove delivery obstacles and ensure predictable execution against committed objectives.

Promote

DevOps and Agile best practices across the squad. Act as the bridge between business teams, product managers, architects, and engineering teams. Ensure AI solutions comply with security, privacy, responsible AI, and regulatory requirements. Define and monitor OKRs/KPIs for AI solution performance, business value realization, adoption, and operational effectiveness. Qualifications

Required Bachelor's or Master's degree in Computer Science, Data Science, Engineering,



Artificial Intelligence, or related disciplines. 5–7+ years of experience in Data Science, Machine Learning, or AI Engineering roles. Demonstrated experience leading the delivery of AI and Analytics solutions in enterprise environments. Proven experience acting as Technical Product Owner, Delivery Lead, Lead Engineer, or Squad Lead.

Strong knowledge of Machine Learning, Generative AI, LLMs, Vector Databases, RAG, and AI agent frameworks.

Experience working with cloud‑based AI ecosystems (Azure, AWS, or GCP). Understanding of Data Engineering concepts, including data pipelines, ETL/ELT, data lakes, and data warehousing.

Experience with Agile methodologies and Scrum delivery frameworks.

Preferred

Experience leading multiple AI squads or programs. Hands‑on experience with MLOps and CI/CD practices.

Certifications in Agile, Scrum, Product Ownership, Cloud, or AI technologies.

Experience working in regulated industries.

Pay Range

Primary posting location (Milan, Spain, Lisbon): €48,600.00 – €77,395.00.

Additional locations: Spain – €55,400 – €87,860; Portugal – €42,100 – €67,505.

Benefits Annual bonus with set target (% of pay) based on performance. Vacation days, parental leave (minimum 12 weeks), bereavement leave, caregiver leave, volunteer leave. Well‑being reimbursement, programs for financial, physical and mental health. Service anniversary and recognition awards. Health and other insurance plans for employees and eligible dependents, subject to plan terms. Other benefits may vary by location and are subject to change.

📌 Technical Product Owner - Lead AI Engineer (Madrid)
🏢 JobFlurry
📍 Madrid