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Jobs or company...
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Product Manager ML & Recommendation Systems (Retail/E-commerce)

Salary undisclosed
Checking job availability...
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Simplified

We are seeking a Product Manager to drive the strategy and execution of machine learning (ML) powered recommendation systems for a major retail chain. This role requires a strong mix of technical knowledge, business acumen, and people skills to collaborate across teams and deliver a personalized customer experience.
As a Product Manager for Recommendations Experience, you will be responsible for enhancing the findability experience on our digital platforms. Your role involves developing and implementing strategies that improve the recommendations user experience, ensuring consumers find the most relevant and engaging content. You will leverage consumer data and insights to drive innovations that increase recommendations engagement, efficiency, and personalization.

Key Responsibilities:
ML experience and knowledge of state of the art models. Knowledge of custom embeddings, collaborative filtering, content based filtering, ranking, GenAI and LLMs.
Knowledge of shopping journey from homepage to shop/search to product detail page to cart and checkout pages. Pre-purchase to post purchase end to end journey.
Define and execute the product roadmap for ML-based recommendation systems, including personalization engines, search ranking, and dynamic merchandising.
Work closely with data science, engineering, and UX teams to develop and optimize algorithms that improve customer engagement and sales.
Leverage A/B testing, data analytics, and customer insights to refine recommendation strategies.
Collaborate with merchandising, marketing, and operations teams to align recommendations with business goals.
Ensure compliance with data privacy and ethical AI standards.
Lead cross-functional meetings, communicate product vision, and gain stakeholder buy-in.
Monitor KPIs, analyze performance, and drive continuous improvements.
Requirements:
Product Management Experience 7+ years, preferably in e-commerce or retail tech.
Machine Learning & AI Expertise Experience working with ML-driven recommendation engines, search ranking, or personalization.
Data-Driven Decision Making Strong analytical skills, familiarity with A/B testing, KPIs, and customer segmentation.
People & Communication Skills Ability to collaborate with engineers, designers, and business teams, and present insights to leadership.
Agile & Roadmap Planning Familiarity with Agile/Scrum methodologies, JIRA, and roadmap planning.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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