Job Title: AI Product Owner Manager
Job Location: Barcelona, Spain
Job Location Type: Home-based
Job Contract Type: Full time
Job Seniority Level:
AI Product Owner Manager
Location: Poland, Greece, Czech Republic, Italy, Spain, Portugal, home-based
Role Description
We are seeking an AI Product Owner Manager to lead the execution‑level ownership of Agentic AI products across Proof of Concept, MVP, and Production. This role is responsible for translating product intent and business needs into clear, testable, agent‑ready requirements, and for ensuring that autonomous and semi‑autonomous agents deliver the expected outcomes in real‑world, regulated environments.
Operating as part of the ATS CAITI Core Development Team, the AI Product Owner Manager leads and line‑manages a team of Product Owners and/or Business Analysts, setting clear expectations, developing product execution capabilities, and ensuring consistent ways of working across agentic initiatives. The role owns the product backlog, acceptance criteria, and Definition of Ready, and serves as the primary execution‑time liaison between Product, Engineering, Architecture, QA/Validation, and Business.
Key Responsibilities
- Lead the execution‑level product ownership of Agentic AI solutions across Proof of Concept, MVP, and Production, ensuring delivery of defined outcomes in regulated environments.
- Line‑manage and develop Product Owners and/or Business Analysts, setting clear expectations, providing coaching, performance management, and building consistent product execution capabilities.
- Own and maintain the Agentic AI product backlog, translating business needs into clear, agent‑ready user stories, workflows, and acceptance criteria.
- Define and enforce Definition of Ready and acceptance standards, ensuring stories are testable, evaluable, and suitable for autonomous and human‑in‑the‑loop agent workflows.
- Drive backlog prioritization and refinement, balancing agent capabilities, evaluation readiness, non‑functional requirements, and delivery constraints.
- Partner with AI Product Managers to support MVP scope decisions, ensuring feasibility, readiness, and alignment with value hypotheses and success KPIs.
- Collaborate closely with Architecture, Engineering, and UX to shape agent behavior, orchestration patterns, guardrails, and exception handling early in the lifecycle.
- Act as the primary execution‑time product contact for engineering teams, clarifying intent, resolving scope questions, and validating delivered outcomes.
- Own story acceptance and UAT, ensuring delivered agent behavior meets defined success criteria, quality expectations, and regulatory requirements.
- Manage the post‑release backlog for enhancements, defects, and agent tuning, informed by telemetry, user feedback, and operatio