Elevating and modernizing customer, store, and franchisee-facing experiences
Requirements
- Strong understanding of ML models and their application within real-world product ecosystems.
- Experience with AI/ML models and intelligent customer segments
- Experience with data platforms, personalization, or AI/ML
- Demonstrated success delivering data-driven products that blend innovation with operational excellence
- 4+ years of product management experience
- Experience aligning cross-functional teams around a shared vision
- A passion for solving end-user problems with efficiency and impact
Responsibilities
- Lead the development of personalization capabilities using AI/ML models and intelligent customer segments to deliver context-aware, adaptive user experiences.
- Define and execute product strategies that connect enterprise data with AI to drive real-time decisioning, dynamic content generation, and customer engagement.
- Collaborate with engineering, data science, and design teams to build scalable, secure, and intuitive platforms that support personalization across the digital ecosystem.
- Partner with ML teams to operationalize models for use cases such as customer intent prediction, dynamic content delivery, and intelligent automation.
- Champion responsible AI practices, embedding transparency, privacy, and trust into all personalization initiatives.
- Use experimentation and analytics to evaluate product performance, identify opportunities, and continuously optimize personalization strategies.
- Translate business goals and end-user needs into product direction—communicating priorities to data engineers and developers, and managing the product backlog to create new capabilities.
Other
- Bachelor’s degree in a technical or quantitative field (e.g., Computer Science, Engineering, Information Systems, Statistics) or a Master’s degree/MBA with a quantitative focus
- Proven communication and collaboration skills
- 4+ years of product management experience, ideally focused on data platforms, personalization, or AI/ML
- Demonstrated success delivering data-driven products that blend innovation with operational excellence
- A passion for solving end-user problems with efficiency and impact