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Sr. Product Manager || PIM- Product Information Management || Merchandising || Retail & Ecommerce

Voto Consulting LLC · San Francisco, CA

Spotted 3d agoContract

Job details

Employment
Contract
Level
Senior
Experience
4+ years
Posted
Oct 8, 2026
Last confirmed open
Oct 8, 2026
Job description

About this role

Job description:

  • 4+ 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 have:

  • 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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