Staff Product Manager, AI Automation & Strategy

Walmart Inc.

Bentonville (AR)

Ibrido

USD 110.000 - 220.000

Tempo pieno

7 giorni fa
Candidati tra i primi

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Vantaggi offerti da questo lavoro

Health benefits (medical, vision, and牙
401(k) and stock purchase plan
Paid time off including PTO/PPTO

Descrizione del lavoro

Walmart Inc. in Bentonville, AR is seeking a Staff Product Manager to lead strategy and execution for complex AI‑driven products, driving end‑to‑end outcomes from discovery through value realization. You’ll mentor peers and guide multi‑quarter roadmaps in a data‑driven, tech‑forward environment.

You will ship agentic automations, build AI tools, and lead cross‑functional teams across Engineering, Data, and Operations. Strong preference for hands‑on AI agent deployment and scalable architecture.

Competenze

  • Bachelor’s degree in computer science, engineering, or related area and 7 years’ experience in product management.
  • Alternatively, 9 years’ product management or related experience.
  • Experience leading product strategy and managing roadmaps for complex products is preferred.

Mansioni

  • Ship production‑grade agentic automations from day one for a multi‑million dollar savings workstream.
  • Build, ship, and iterate on AI tools, agents, plugins, and skills for PMs to become AI‑native.
  • Lead cross‑functional execution across Engineering, Data, and Operations; remove blockers and move from discovery to deployment.
  • Own your workstream end‑to‑end: scope, build, ship, iterate with bias for action.
  • Partner with Data and Engineering to identify automation opportunities and push solutions to production.

Conoscenze

PM experience (7+ years)
PM experience (9+ years)

Formazione

Bachelor’s degree in computer science, engineering, or related area

Descrizione del lavoro

Walmart Inc. in Bentonville, AR is seeking a Staff Product Manager to lead strategy and execution for complex AI‑driven products, driving end‑to‑end outcomes from discovery through value realization. You’ll mentor peers and guide multi‑quarter roadmaps in a data‑driven, tech‑forward environment.

You will ship agentic automations, build AI tools, and lead cross‑functional teams across Engineering, Data, and Operations. Strong preference for hands‑on AI agent deployment and scalable architecture.

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