Walmart’s Marketplace CX & Category Verticals team is focused on building differentiated, high-impact shopping experiences across some of our fastest-growing businesses. We power discovery and engagement at scale—combining strong commerce fundamentals with AI-driven innovation to deliver seamless, relevant, and inspiring customer journeys. Operating at the intersection of technology, design, and business, our team drives category-specific growth by improving findability, trust, and personalization. If you’re excited about shaping the future of eCommerce for millions of customers, this is a place where you can make meaningful impact at unparalleled scale What you'll do... You’ll sweep us off our feet if… You can define and champion a compelling product vision, strategy, and roadmap for Search, aligning relevance, ranking, and personalization investments with business goals. You have led large, ambiguous discovery initiatives—using customer research, competitive insights, and query-level analytics to identify opportunities and prioritize high-impact improvements. You can drive alignment across a highly matrixed organization, influencing stakeholders across Product, Engineering, Data Science, and Business. You have partnered deeply with ML and engineering teams to ship scalable search or recommendation systems that improve relevance and performance. You are fluent in experimentation—designing A/B tests, interpreting results, and translating insights into iterative product improvements. You can synthesize complex analysis into clear, compelling recommendations and influence senior leadership with data-backed strategy. You’ll make an impact by... Driving category-specific growth by building differentiated, customer-first experiences that improve discoverability, relevance, and trust. Elevating end-to-end discovery across search, browse, and personalization to deliver more intuitive and confidence-inspiring shopping journeys. Embedding trust and quality signals throughout the customer experience to strengthen credibility and conversion. Leveraging AI and data-driven insights to power inspiration-led discovery and more meaningful experience at scale. Defining product vision and translating business objectives into scalable, enterprise-ready solutions. Partnering cross-functionally across Product, Engineering, Design, Data Science, and Business to deliver measurable impact. Building a collaborative, high-ownership environment focused on solving complex problems and delivering results.
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Job Type
Full-time
Career Level
Mid Level