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Lead Product Manager - Search & Recommendations

Job in Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: Lowe's
Full Time position
Listed on 2026-10-21
Job specializations:
  • Business
    AI Business & Operations
  • IT/Tech
    AI Business & Operations
Salary/Wage Range or Industry Benchmark: 120000 - 170000 USD Yearly USD 120000.00 170000.00 YEAR
Job Description & How to Apply Below
Innovate in Charlotte

Thank you for dedicating your time and talent to Lowe’s.

What You Will Do
  • Own the product vision, strategy, and roadmap for Search & Recommendations within Lowe’s omni-channel Discovery portfolio.
  • Set strategic priorities across search relevance, recommendations, personalization, and AI-led discovery, balancing customer outcomes, business value, foundational capabilities, and emerging technology.
  • Translate customer needs and shopping behavior into product opportunities using analytics, customer research, funnel insights, and ecommerce KPIs.
  • Lead an experimentation-driven product strategy, defining hypotheses, success metrics, and guardrails and using A/B testing and behavioral insights to inform investment decisions.
  • Partner with Engineering, Data Science, and UX to build scalable experiences leveraging semantic understanding, ranking and recommendation models, customer/context signals, personalization, and Generative AI.
  • Drive end-to-end execution from problem definition and prioritization through delivery, experimentation, launch, and optimization.
  • Define and own product OKRs and health metrics, connecting Discovery performance to customer and business outcomes.
  • Build reusable Discovery intelligence and platform capabilities that enable connected experiences rather than isolated point solutions.
  • Influence priorities across the broader Discovery ecosystem, aligning cross-functional teams around shared outcomes, dependencies, and investment decisions.
  • Serve as a domain leader for Search & Recommendations, bringing external perspective on ecommerce, AI Search, personalization, recommendations, and agentic discovery to shape longer-term strategy.
  • Communicate product strategy, performance, and investment trade-offs to senior leaders and advocate for the highest-value opportunities.
Minimum Qualifications
  • Bachelor’s degree in business, marketing, engineering, communications, or related field or equivalent years of experience in lieu of education requirement, if applicable
  • 7 years of experience in two or more of the following: project management, product management, business analysis, program management, experimentation, or product marketing
  • 5 years of experience in product and/or experience management
  • Experience in an agile software environment with proficiency in product marketing and strong writing ability
  • Experience working cross-functionally in a large organization with senior leadership
  • Experience translating data into quantifiable actions/deliverables
Preferred Skills
  • Product management experience with a large-scale ecommerce retailer.
  • Significant experience in Search, Recommendations, Personalization, Discovery, or adjacent ecommerce capabilities.
  • Understanding of modern Search and Recommendation concepts, including intent understanding, ranking, semantic search, recommendation systems, personalization, customer/context signals, and experimentation.
  • Experience building or scaling AI/ML-powered customer-facing products;
    Generative AI and agentic discovery experience is a plus.
  • Ability to influence Engineering, Data Science, UX, Marketing, Digital Customer Engagement, business operations, and peer product teams.
  • Hands-on experience with analytics and AI tools.
  • Strong understanding of OKRs and ecommerce KPIs, including connecting engagement metrics to conversion, revenue, and customer outcomes.
  • Experience combining quantitative analytics, experimentation, and qualitative customer research to shape product strategy.
  • Ability to operate at both strategic and execution levels, setting long-term direction while maintaining the depth needed to make strong product decisions.
  • Strong communication and influencing skills, including the ability to explain complex AI concepts and product trade-offs…
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