2 дня назад
Senior Product Manager (Retail Media & Personalization)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Product Manager (Retail Media & Personalization): Building retail media activation, audience targeting, personalized offer management, and measurement capabilities with an accent on data science, recommendation systems, and marketing technology integrations. Focus on defining product roadmaps, coordinating cross-functional delivery, and optimizing adoption, customer value, and media revenue outcomes.
Location: Remote, Ciudad de México, DIF, Mexico
Company
is a global consumer intelligence, measurement, and data analytics company serving consumer-packaged goods manufacturers and retailers across more than 90 countries.
What you will do
- Own the roadmap and prioritized backlog for retail media activation, audience targeting, and personalized offer management.
- Define capabilities for segmentation, targeting, recommendation systems, campaign execution, and measurement.
- Lead a cross-functional product pod across Engineering, Data Science, UX, Sales, and Customer Success.
- Coordinate PI planning, delivery, release readiness, capacity planning, risks, dependencies, and trade-offs.
- Partner with Engineering and Data Science on scalable architecture, analytical models, integrations, and output validation.
- Define product, adoption, operational, and business KPIs to improve customer value and media revenue.
Requirements
- 6+ years of experience in Product Management, building data-driven or analytical products at scale.
- Experience leading cross-functional product teams across Engineering, Data Science, UX, and business stakeholders.
- Domain expertise in retail media, audience targeting, personalization, customer engagement, marketing technology, advertising technology, or digital commerce.
- Experience with AI/ML-driven products, recommendation systems, personalization engines, or marketing optimization platforms.
- Bachelor’s degree in Computer Science, Data Science, Engineering, Business, or equivalent.
- Experience with Excel, PowerPoint, Jira, Confluence, Figma, and Agile frameworks such as Scrum or SAFe.
Culture & Benefits
- Flexible working environment.
- Volunteer time off.
- LinkedIn Learning.
- Employee Assistance Program.
- AI may be used during recruitment, with human oversight and final hiring decisions made by people.
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