Product Manager, Performance AI

Wppmid

In short

→Gestión de producto para una plataforma de IA en marketing (WPP Open), enfocada en soluciones basadas en datos.
→Trabajo diario: definir requisitos, priorizar historias de usuario y colaborar con ingenieros, científicos de datos y equipos creativos.
→Destacado: forma parte de un equipo global de 2.000+ personas que construyen la plataforma de IA para marketing más avanzada de WPP.

Fluent English required for collaboration across global teams.

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What they ask for

✓Experiencia comprobada en gestión de producto o roles similares.
✓Capacidad analítica y curiosidad por los datos.
✓Conocimiento práctico de SQL para interpretar y usar datos.
✓Habilidades de comunicación efectiva entre equipos técnicos y no técnicos.
✓Capacidad para priorizar y definir necesidades de producto con base en insights.
✓Iniciativa para aprender sobre AdTech y metodologías ágiles.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

WPP OpenAI platformdata-driven solutionsproduct lifecycle managementuser storiesacceptance criteriaAgileScrumSQLAdTech

Who should you write to at Wpp?

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WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. WHO WE ARE About Data & Technology Solutions WPP’s Data & Technology Solutions is the WPP’s unified global data products and technology team. We work with our agencies and clients to build data data-driven solutions and technology product to power marketing transformation. WPP Open is our AI platform for marketing, it connects marketing professionals, data, tools and AI in a single place. WPP Open is the simplest, safest and fastest way to realize the benefits of scaled AI – delivering better-informed creative ideas faster, at scale and at lower cost. We’re endlessly curious and our team of thinkers, builders, creators and problem solvers are over 2,000 strong, across 20 markets around the world. WHO WE ARE LOOKING FOR We are seeking an enthusiastic and analytical Product Owner with a passion for leveraging data to build impactful products. In this role, you will support the product development lifecycle for our data-driven marketing solutions, including the WPP Open platform. You'll be instrumental in translating user needs and data insights into clear product requirements, ensuring our solutions are innovative, valuable, and technically sound. Your strong understanding of data and SQL will be key to communicating effectively with engineering and data science teams and making informed product decisions. You are: • Data-curious, with a proven ability to analyze information and derive actionable insights. • Analytical and detail-oriented, capable of breaking down complex problems and defining clear product needs. • An excellent communicator, able to bridge the gap between technical and business stakeholders. • A proactive learner, eager to deepen your understanding of AdTech, product management, and data-driven methodologies. • Collaborative, thriving in a cross-functional team environment and contributing to a shared vision. WHAT YOU WILL DO • Support Product Development & Lifecycle Management • Assist in defining, documenting, and prioritizing product requirements, user stories, and acceptance criteria based on user needs, business goals, and data analysis. • Work closely with Product Managers, Engineering Leads, Data Scientists, and U

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