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Technical Product Manager

Trabajo disponible en: 04810, Madrid, Andalucia, España
Empresa: Electronic Arts
Tiempo completo posición
Publicado en 2026-01-29
Especializaciones laborales:
  • TI/Tecnología
    Gerente de Proyectos TI, Analista de datos, Diseñador de Productos
Rango Salarial o Referencia de la Industria: 50000 - 70000 EUR Anual EUR 50000.00 70000.00 YEAR
Descripción del trabajo

Overview

Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. A team where creativity thrives, new perspectives are invited, and ideas matter. We entertain millions of people across the globe with immersive entertainment experiences in the industry. The Worldwide Localization Team delivers high-quality localized versions of our titles to over 30 countries.

You will work on tools and systems that provide Localization to our products.

EA has built a Localization powerhouse that covers the needs for both current and next-generation platforms.

The Challenge Ahead

We are hiring a Technical Product Manager to join our Localization Data & AI team, reporting to the Data & AI Senior Manager. The team’s mission is to empower EA Localization through scalable data platforms, advanced analytics, and AI-driven solutions that improve quality, consistency, and efficiency of localized content at scale.

Key Responsibilities

Business Analysis

  • Capture and understand business and technical needs of the products/solutions assigned.
  • Document features identified during conversations with partners.
  • Create technical strategy plans to move and integrate the product/solutions into the localization toolset.

Project Management

  • Serve as the reporting and coordination link between EA product/solutions and the localization toolset. Participate in ongoing prioritization of business needs following product/solution requirements and schedules.
  • Track, predict, and report schedule and cost deviation; report them and propose actions for mitigation or adjustments. Redo cost analysis and schedule as needed.
  • Identify issues (e.g., quality degradation), report them and propose actions for mitigation or adjustments.
  • Participate in postmortem processes and collect partner feedback to measure satisfaction and distill future improvements and solutions needed.

Product Management

  • Lead the end-to-end product lifecycle of assigned Data & AI solutions, from discovery and definition to delivery, deployment, and continuous improvement.
  • Act as the technical contact for your products, representing the team across Localization, Engineering, Data Science, Data Insights and Platform partners.
  • Translate needs into clear, applicable product requirements, technical specifications, and prioritized backlogs.
  • Define and maintain product vision, roadmap, and success metrics, ensuring agreement on Localization strategy and Data & AI capabilities.
  • Build relationships with Localization, Engineering, and Platform teams to align priorities and expectations.
  • Facilitate decision-making by balancing value, technical feasibility, and long-term maintainability.
  • Lead postmortems and feedback loops to improve products, processes, and collaboration.
Skills Required
  • Experience communicating complex technical concepts to a variety of audiences.
  • Technical background. University Degree in Computer Science, Software Engineering or equivalent educational or working background.
  • Conflict management.
  • Project Management, Business experience using data and insights to inform product development and CRM skills.
  • Knowledge in the foundations of Software Engineering and Development Life Cycle.
  • Fluent in English (written and spoken).
Essential Experience Required
  • 5+ years of professional experience in end-to-end Project Management (from conception to implementation, deployment and maintenance).
  • Professional experience in Business Analysis and Requirements Analysis.
  • Knowledge in Agile methodologies (Scrum, Kanban, ...) and Agile Project Management.
  • Experience working in a multi-site and multicultural team.
  • Experience with AI/ML products, analytics platforms, or MLOps environments.
  • Background in data engineering, infrastructure, or cloud-based systems.
  • Experience in localization, content pipelines, or the entertainment/gaming industry.

#LI-VEP1

About Electronic Arts

We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning…

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