ECommerce Product Manager, Discovery + Taxonomy

The Opportunity: We are seeking a key addition to our eCommerce Product Management team to lead product discovery and taxonomy strategy across our global direct-to-consumer (DTC) ecosystem, including the Mattel Creations, American Girl and Shop sites.This role focuses on how customers find, navigate, and explore products and content, spanning search, browse, filtering, and personalized discovery experiences. You will operate at the intersection of information architecture, metadata, AI-driven search, and recommendation systems, ensuring customers can seamlessly discover relevant products across both high-intent and inspiration-led journeys.At a global, cross-brand scale, you will balance consistency, scalability, and brand-specific needs, driving a unified discovery platform powered by a shared taxonomy, structured product data, and a design system. A critical component of this role is improving the quality, structure, and governance of product and taxonomy data to enable better search relevance, personalization, SEO performance, and emerging generative discovery experiences (GEO).You will identify high-impact opportunities within discovery and lead initiatives that improve findability, engagement, and conversion, using experimentation, data, and strong product judgment to prioritize effectively and drive measurable business outcomes.What Your Impact Will Be: Collaborate with senior leadership to shape and inform the discovery and taxonomy product roadmap, ensuring alignment to business priorities, customer needs, and scalable platform strategyDrive the strategy and execution of search, browse, filtering, taxonomy, and discovery systems across Mattel DTC experiencesDefine and evolve taxonomy structures, metadata models, and entity relationships across global product catalogs, enabling scalable and consistent discovery experiencesImprove product data quality and structure to support search relevance, personalization, recommendations, SEO performance, and AI-driven discoveryPartner with engineering to build scalable tagging and enrichment systems that ensure products are consistently and accurately categorized, enriched, and structured across platformsDrive personalized discovery and recommendation strategies, including related products, “complete the set,” trending, and contextual recommendations, optimizing ranking and algorithm performance over timeOwn and scale a robust experimentation framework, designing and prioritizing A/B and multivariate tests across search, browse, and recommendations to inform product decisions and algorithm optimizationEvaluate discovery performance using quantitative and qualitative signals (e.g., query behavior, model evaluation metrics, CTR, conversion), and continuously optimize experiences based on insightsPartner with analytics and engineering to improve AI-driven and LLM-powered discovery capabilities, including semantic search, query understanding, and hybrid retrieval systemsDrive SEO as a growth channel, ensuring taxonomy, product data, and content strategy support new customer acquisition and align with both traditional and generative search enginesPartner cross-functionally with merchandising, content, marketing, and analytics to ensure high-quality inputs into discovery systems, including structured metadata and SEO-optimized contentTranslate complex backend systems and data models into intuitive, high-performing user experiencesManage a diverse set of stakeholders and drive alignment across product, engineering, design, data science, and business teamsFacilitate discussions, navigate trade-offs, and ensure decisions are grounded in customer value, business impact, and platform scalabilityEnsure all key use cases (including edge cases) are considered, delivering robust, scalable, and high-quality discovery experiencesSupport broader eCommerce initiatives as needed, contributing to continuous improvement of the end-to-end journeyKey Metrics You’ll InfluenceSearch success rate / reduced zero-result queriesImprovement in semantic match quality and intent satisfactionPerformance of recommendation and personalization systems (CTR, conversion lift, revenue per session)Metadata completeness, accuracy, and consistencySEO performance (organic traffic, new-to-brand users, indexation)Visibility and performance in AI-driven discovery surfaces (GEO)Conversion, engagement, and retention driven by discovery