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Product Manager -Vertical Search

Job in Sunnyvale, Santa Clara County, California, 94087, USA
Listing for: Walmart
Full Time position
Listed on 2026-06-18
Job specializations:
  • IT/Tech
    Product Designer, Data Analyst, Data Science Manager, UI/UX Design
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Staff, Product Manager -Vertical Search

Position Summary

To drive Walmart’s mission of Save Money, Live Better, Walmart's Product team places customers at the heart of whatever we do. We dream big, but we also hold ourselves accountable for reaching our goals. We get to apply our product management expertise on the world's biggest stage – Yes, we are Fortune # 1.

With the customer at the forefront, we can help deliver and save both time and money for our customers no matter how they shop with us and reach them in new, exciting ways.

At Walmart, our Product teams build scalable digital experiences that power discovery and drive category growth across Marketplace and eCommerce. We are hiring a Staff Product Manager - Search to lead critical discovery experiences that shape how millions of customers find, evaluate, and shop across high-impact verticals. This role owns strategy and execution for key customer-facing capabilities that improve relevance, trust, and inspiration across the shopping journey.

You will operate at the intersection of business, technology, and design—translating growth objectives into scalable product solutions that accelerate digital penetration and unlock category-specific opportunities.

The ideal candidate brings strong product judgment, thrives as an individual contributor, and has experience leading complex, cross-functional initiatives in highly matrixed environments. You are comfortable setting strategic direction, influencing senior stakeholders, and partnering closely with Engineering and Data Science to deliver impactful solutions at scale.

About the Team

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.

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.
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.
What You'll Bring
  • 5+ years of product management experience, ideally in Search, Relevance, Personalization, or…
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