Sr Product Manager, Omni Channel

Fanatics Commerce•Redwood City, CA

1d•$160,000 - $200,000•Hybrid

About The Position

The Sr. Product Manager, Omni-Channel: AI-Driven Marketplaces & Product Intelligence will play a critical role in advancing AI-driven product data systems and marketplace operations across Fanatics Commerce. This role owns the strategy and execution of Fanatics Commerce's marketplaces platform and underlying product data systems, with a mandate to push AI further into the product-to-purchase-order lifecycle. Building on a fully AI-led purchase order creation capability already in place, this role takes on the next frontier: ensuring that the Fanatics product catalog and feeds are structured and optimized for AI shopping agents and LLM-powered answer engines as more shopping moves through those channels. The Sr. Product Manager, Omni-Channel: AI-Driven Marketplaces & Product Intelligence delivers business and fan impact through BOLD leadership and execution excellence, leveraging data, automation, and AI-enabled insights.

Requirements

7+ years of product management experience, preferably in eCommerce, marketplaces, or PIM systems, with a track record of operational improvements and large-scale initiative delivery.
Demonstrated experience leading large-scale data management or automation initiatives such as SKU unification, AI-driven purchase order automation, or catalog enrichment programs.
Proven ability to manage end-to-end product lifecycles, including defining technical requirements and working closely with engineering and AI/ML teams to ship production-grade solutions.
Solid understanding of how LLM-driven shopping agents and answer engines consume product data, and what it takes to optimize catalog feeds and structured data for those channels.
Experience with marketplace platform management, seller onboarding and operations, and omni-channel commerce strategies that connect digital and physical commerce.
Strong analytical skills with the ability to use marketplace performance data and AI-generated insights to identify pain points, measure impact, and inform strategy.
Excellent communication and presentation skills, with demonstrated ability to influence technical and non-technical audiences including senior leadership.
BA/BS degree, preferably in business administration, computer science, or a related field.

Nice To Haves

MBA/Masters or equivalent credentials are strongly preferred.
Experience with AI/LLM-driven commerce initiatives, generative AI applications, or agentic automation in a product or catalog context.
Familiarity with structured product data standards and feed optimization for AI search and answer engines, such as schema.org, Merchant Center feeds, or GTIN/UPC standards.
Experience with collectibles, trading cards, or memorabilia marketplaces is a plus.
Familiarity with PIM systems, technologies, and catalog management best practices.
Proven ability to work with external vendors, sellers, and partners to drive innovation and operational efficiency.

Responsibilities

Partner with engineering, AI/ML, marketing, operations, and customer service teams to align marketplace, PIM, and AI strategies with company goals, ensuring clear prioritization and shared accountability across stakeholders.
Define and manage the product roadmap for AI-driven marketplaces and PIM, communicating vision and progress to senior leadership and cross-functional partners with clarity and influence.
Collaborate with site experience teams and seller partners to coordinate roadmap delivery across digital and physical commerce channels.
Champion an AI-first culture within the product and operations functions by modeling best practices for automation, data quality, and continuous improvement.
Mentor cross-functional partners on the opportunities and requirements of LLM-driven commerce and AEO, building organizational fluency in emerging AI-shopping paradigms.
Enhance the buyer experience by working with site experience teams to deliver purchasing journeys shaped by AI-driven search, discovery, and personalization.
Optimize the product catalog and feeds so Fanatics products appear accurately and completely in AI shopping agents, LLM answer engines, and AEO channels — ensuring fans find the right products wherever they search.
Improve customer trust across marketplace channels by developing and executing a marketplace strategy that streamlines operations and elevates the quality of seller participation and listing accuracy.
Establish and enforce standards for product data accuracy, completeness, and consistency so that AI systems downstream can serve fans with reliable product information at every touchpoint.
Lead the SKU unification initiative to harmonize product identifiers, reduce duplication, and create a single source of truth for product data across the organization.
Leverage AI and LLM technology to auto-enrich, validate, and unify product catalog data, reducing manual effort and improving data quality at scale.
Identify and implement opportunities to extend automation into replenishment, vendor coordination, and exception handling, building on the fully AI-led purchase order creation capability already in place.
Define what an optimized, machine-readable product catalog looks like for AI and LLM-driven shopping, including structured data standards such as schema.org, Merchant Center feeds, and GTIN/UPC protocols.
Own end-to-end product lifecycle management for AI-driven marketplaces and PIM, from defining technical requirements through delivery and iteration with engineering and AI/ML teams.
Streamline seller onboarding, inventory management, and listing optimization through AI-assisted workflows, enabling sellers to participate in the marketplace efficiently and at scale.
Use analytics, AI-generated insights, and customer feedback to identify opportunities, measure success, and continuously refine marketplace and catalog strategy.
Drive day-to-day operational rigor across marketplace and PIM systems while simultaneously maintaining a long-term strategic roadmap for AI-driven automation.
Apply AI and technology to improve efficiency, quality, and outcomes.
Use data and digital tools to inform decisions and enhance performance.
Demonstrate curiosity and adaptability in adopting new technologies and ways of working.
Contribute to a culture of innovation and continuous improvement.