Senior Product Manager - Fulfillment

Walmart Walmart · Retail · Sunnyvale, CA

Product Manager for Walmart's Fulfillment Customer Experience team, focusing on Amends & Substitutions. The role involves driving product vision and strategy for customer order flexibility and confidence, optimizing fulfillment, and creating transparent customer experiences. A key aspect is building AI-native customer experiences using AI tools, LLMs, recommendations, and automation to improve customer outcomes and operational efficiency.

What you'd actually do

  1. Define and own the product vision and roadmap: Set ambitious 10x growth goals, prioritize initiatives, and translate strategic objectives into actionable plans.
  2. Deeply understand our customers: Conduct user research, analyze data, and uncover insights to continuously improve the customer experience.
  3. Optimize the end-to-end funnel: Drive engagement, conversion, perfect orders, and retention through customer-first product strategies.
  4. Champion innovation: Experiment with new features, optimize product offerings, and explore strategic investments with the highest customer and business impact.
  5. Build AI-native customer experiences: Partner with engineering and data science teams to leverage AI tools, large language models, intelligent recommendations, and automation capabilities to improve customer outcomes and operational efficiency.

Skills

Required

  • Bachelors degree in computer science, engineering, or related area
  • 5 years experience in product management

Nice to have

  • Master’s degree in computer science, engineering, business administration, or related area
  • 3+ years experience as a product manager, ideally working on consumer-facing, large-scale, highly complex B2B/C products
  • Experience building or scaling AI-native applications, generative AI experiences, conversational products, recommendation systems, or intelligent workflow automation solutions
  • Familiarity with modern AI product development tools, experimentation frameworks, prompt design, and data-driven personalization strategies

What the JD emphasized

  • AI-native applications
  • AI-assisted decisioning
  • leverage AI tools
  • large language models
  • intelligent recommendations
  • automation capabilities
  • AI-native customer experiences
  • generative AI experiences
  • conversational products
  • recommendation systems
  • intelligent workflow automation solutions
  • modern AI product development tools
  • experimentation frameworks
  • prompt design
  • data-driven personalization strategies

Other signals

  • AI-native applications
  • AI-assisted decisioning
  • leverage AI tools
  • large language models
  • intelligent recommendations
  • automation capabilities