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Senior Product Manager - Retail & Digital Merchandising

Maven CompaniesSan Francisco, CA🇺🇸United StatesPosted Oct 7, 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
San Francisco, CA, United States
Posted
Yesterday
AgileBusiness Analysis

Job Description

Top Requirements  

(Must haves) 

• 7+ years of experience in product management, functional product ownership, business systems, business analysis, or a related role supporting cross-functional initiatives.

• Strong retail experience with hands-on knowledge of general merchandising processes; this is the most critical requirement.

• Experience supporting digital merchandising, buying, product content, eCommerce, or closely related retail business functions.

• Experience translating business needs into user stories, functional requirements, acceptance criteria, and prioritized backlogs.

• Hands-on experience with story grooming, Agile delivery practices, and user acceptance testing (UAT).

• Experience working with PIM platforms or product information processes; MDM systems experience is also applicable.

• Business-oriented understanding of product data, taxonomy, attributes, catalog structure, workflows, and reporting.

• Ability to partner effectively with merchandising, planning, data, and technology teams while maintaining a functional business perspective.

• Strong analytical, organizational, facilitation, and communication skills, with the ability to manage multiple priorities and stakeholder groups.

• Working knowledge of AI concepts and the ability to identify ways product information may support customer-facing AI, content generation, personalization, or recommendation use cases.

Nice to Haves 

• Experience with merchandise planning, merchandising analytics, reporting, or adjacent planning processes.

• Experience with STIBO Systems or another enterprise PIM platform.

• Exposure to PIM or MDM implementation, migration, validation, reconciliation, or rollout activities.

• Experience bridging buyer and digital merchandising workflows.

• Data analysis or reporting experience that can support merchandising decisions and product information quality.

• Experience applying AI or machine learning capabilities to product content, recommendations, personalization, or other customer-facing retail experiences.

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