Principal Product Manager – Associate Enablement & AI Tools

WalmartBentonville, AR
$110,000 - $220,000Onsite

About The Position

The Principal Product Manager – Associate Enablement & AI Tools will define the vision and strategy for enterprise associate-facing tools, including the My Walmart app and AI agent platforms. This role establishes internal standards and best practices for associate experience, workplace safety, and model monitoring. The position involves owning and evolving large-scale associate platforms, overseeing feature development, stability, and integration. The role requires developing and executing product roadmaps, prioritizing features that enhance associate productivity, agent guardrails, and performance. A key aspect is leveraging advanced analytics to derive insights from associate app usage data, model performance metrics, and user feedback to inform actionable priorities. This role also entails leading cross-functional collaboration with various teams to deliver productivity apps, monitoring dashboards, and safety guardrails, while managing risks related to data privacy, model hallucinations, and agent reliability. Communication of app adoption metrics and model performance data to executive leadership is crucial for securing buy-in. The role involves establishing performance benchmarks and conducting competitive analysis in a complex environment involving mobile platforms and large language models.

Requirements

  • Master’s degree or the equivalent in Business Administration, Computer Science, Engineering (Any), or related area and 5 years of post-bachelor’s progressively responsible experience in product management; OR Bachelor’s degree or the equivalent in Business Administration, Computer Science, Engineering (Any), or related area and 7 years of post-bachelor’s progressively responsible experience in product management.
  • Experience with product road mapping and prioritization using Jira
  • Experience with product backlog management with Jira
  • Experience with stakeholder management and communication via Confluence and Slack
  • Experience with User Experience (UX) design principles with Figma and Sketch
  • Experience with data analysis and decision-making using SQL and Excel
  • Experience with agile methodologies and frameworks, including Scrum and Kanban
  • Experience with product development
  • Experience gathering customer satisfaction and feedback management through user testing and surveys
  • Experience with project planning and execution
  • Experience conducting market research and analysis using Tableau and Google Analytics
  • Experience conducting user acceptance testing (UAT) in lower environments prior to releasing features in production.

Responsibilities

  • Defines vision and strategy for enterprise associate-facing tools including My Walmart app and AI agent platforms.
  • Establishes internal standards and best practices for associate experience, workplace safety, and model monitoring.
  • Owns and evolves large-scale associate platforms including the Walmart Notification Platform and Activity Management Planner, overseeing feature development, stability, and integration with broader associate tools and experiences.
  • Develops and executes product roadmaps for associate applications (My Walmart) and AI agents, prioritizing features that improve associate productivity, agent guardrails, and performance thresholds.
  • Leverages advanced analytics by collecting and analyzing associate app usage data, model performance metrics, and user feedback to turn insights into actionable priorities for feature enhancements, new agent capabilities, and performance improvements.
  • Leads cross-functional collaboration with Business operations, Security, Retail Intelligence, Data Science, InfoSec, Engineering, and Analytics teams to deliver associate productivity apps, agent monitoring dashboards, and safety guardrails.
  • Manages risks related to associate data privacy, model hallucinations, and agent reliability while defining user acceptance criteria for app quality and agent performance.
  • Communicates app adoption metrics and model performance data, to executive leadership, securing buy-in for associate experience improvements and AI model rollouts.
  • Establishes performance benchmarks for app responsiveness, AI response times, accuracy, and safety compliance, measuring progress through usage analytics and model benchmarks.
  • Conducts competitive analysis and industry benchmarking of competing associate apps and AI agent platforms, providing expertise on market trends and best practices for associate tools.
  • Operates in a highly complex and rapidly evolving environment involving mobile platforms and large language models, requiring deep expertise in product management, AI systems, and enterprise-scale software development.
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