Senior Distinguished I, Product Manager - Agentic Commerce

Walmart Walmart · Retail · Crossman Respect Building CA SUNNYVALE, Upstream Building AR Bentonville

Product Manager for Agentic Commerce at Walmart, focusing on AI-powered shopping assistant capabilities for external and partner-enabled experiences. This role defines how the AI shopping assistant supports discovery, basket building, product questions, checkout, and post-purchase use cases in flexible environments, requiring product depth across AI, eCommerce, identity, payments, trust, fraud, partner integrations, and customer experience.

What you'd actually do

  1. Own the product vision, roadmap, and execution for AI shopping assistant capabilities that can be integrated into external or partner-enabled agentic experiences.
  2. Define the core capabilities required for an agent-to-agent architecture that helps customers discover products, build baskets, refine choices, and move toward purchase in a trusted way.
  3. Create scalable product requirements for assistant-driven shopping experiences, including product search, recommendations, basket creation, item modifications, product Q&A, fulfillment context, and checkout handoff.
  4. Build product guardrails for what AI assistants can do on behalf of customers, including cart changes, purchase readiness, payment, order management, and customer consent.
  5. Lead product development for APIs, tools, MCP servers, permissions, and integration patterns that allow Walmart agentic commerce capabilities to work reliably across multiple environments.

Skills

Required

  • 15+ years of product management experience
  • experience in ecommerce, AI products, platform products, partner integrations, marketplace, payments, identity, or consumer technology
  • Strong understanding of ecommerce customer journeys
  • Experience building platform capabilities, APIs, MCP servers, partner integrations, or reusable product infrastructure
  • Ability to define product requirements for complex systems involving AI models, customer-facing UX, backend services, data flows, security, and operational controls
  • Strong product judgment around customer trust, safety, privacy, consent, reliability, and risk
  • Experience leading cross-functional initiatives
  • Strong analytical skills and experience defining product metrics, funnel measurement, experimentation plans, and operational dashboards
  • Excellent communication skills

Nice to have

  • Experience with conversational AI, AI agents, large language models, recommendation systems, search, or personalization
  • Experience with commerce platforms, embedded experiences, account linking, payments, fraud prevention, or third-party integrations
  • Experience defining governance models for automated or semi-automated customer actions
  • Experience launching products in highly regulated or high-trust environments
  • Experience building zero-to-one products

What the JD emphasized

  • AI-powered shopping capabilities
  • agentic experiences
  • agent-to-agent architecture
  • product guardrails
  • APIs, tools, MCP servers, permissions, and integration patterns

Other signals

  • AI-powered shopping capabilities
  • AI shopping assistant
  • agentic experiences
  • agent-to-agent architecture
  • AI models