Product Manager – Personalization & Digital Products
Listed on 2026-06-27
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IT/Tech
Digital Marketing
Product Manager – Personalization & Digital Products (70947-1)
Roles & Responsibilities
Product Strategy & Roadmap
Define and execute the roadmap for personalization capabilities across web, mobile, and marketing channels
Identify opportunities to enhance customer experience using data, AI/ML, and contextual insights
Align product vision with business goals such as engagement, conversion, and revenue growth
Personalization & Recommendations
Build and scale personalization use cases such as recommendations, segmentation, dynamic content, and cross-sell
Leverage customer, supplier, and contextual data to deliver relevant and timely experiences
Partner with data science teams to develop and optimize ML models (e.g., recommendation systems, propensity models)
Execution & Delivery
Own end-to-end product lifecycle from ideation to launch and optimization
Drive execution through strong collaboration with engineering, data, design, and business stakeholders
Manage product backlogs, prioritize features, and ensure timely delivery
Stakeholder Management & Storytelling
Create compelling product narratives, presentations, and executive updates
Translate complex technical concepts into clear business value
Influence cross-functional teams and senior leadership
Experimentation & Optimization
Drive A/B testing and experimentation frameworks to continuously improve performance
Track KPIs such as engagement, CTR, conversion, and revenue impact
Use insights to refine personalization strategies and models
Data & Platform Integration
Work with data platforms to leverage 360° customer and supplier data for personalization
Ensure solutions are scalable, compliant, and aligned with data governance standards
Must-Have's
5-7+ years of Product Management experience with a focus on digital products or personalization
Proven track record building and launching customer-facing digital products (web and/or mobile), with end-to-end ownership of the product lifecycle
Technical fluency sufficient to partner effectively with engineering on APIs, data platforms, and system integrations
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