Senior Director, Product Management

Walmart

. Define the long-term product vision and strategy for Walmart’s Enterprise AI Platform .

Posted 10/31/2026full-timeBentonville • California • United StatesSenior💰 $160,000 - $416,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in product leadership for AI/ML platforms, with a strong focus on defining platform strategy, optimizing infrastructure utilization, and driving measurable outcomes. Capable of communicating complex technical concepts and aligning cross-functional teams to achieve product vision and execution.

Highest-signal resume keywords

Product Leadership ExperienceAI/ML Platform DevelopmentPlatform Strategy DefinitionMachine Learning UnderstandingExecutive Communication Skills

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Applicant Tracking System Keywords

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Hard Skills

AI InfrastructureMLOpsModel Lifecycle ManagementAPIsCloud PlatformsGenerative AIFoundation ModelsMultimodal SystemsInference CostsCapacity Optimization

Soft Skills

Strategic ThinkingStorytellingInfluencing SkillsBusiness AcumenEntrepreneurial Mindset

Industry Keywords

Product ManagementDeveloper WorkflowsTechnical LeadershipGovernanceObservability

Tech Stack

Tools & technologies

CloudDistributed Systems

About the role

Key responsibilities & impact

Define the long-term product vision and strategy for Walmart’s Enterprise AI Platform
Translate Walmart’s AI ambitions into product priorities, platform capabilities, and investment decisions
Anticipate changes across foundation models, multimodal AI, agents, inference, orchestration, and AI infrastructure
Create durable platform abstractions across models, providers, infrastructure, lifecycle management, governance, and developer workflows
Enable model and infrastructure optionality while minimizing provider and technology lock-in
Build a world-class developer experience for discovering, onboarding, experimenting, evaluating, deploying, observing, and operating AI workloads
Develop mechanisms to optimize model consumption, infrastructure utilization, capacity, and cost-performance tradeoffs
Embed safety, governance, observability, and guardrails into the platform with partner teams
Evaluate commercial models, open models, infrastructure providers, emerging technologies, and open-source ecosystems
Use customer feedback, telemetry, adoption data, and direct engagement to shape the roadmap and drive adoption
Partner with Engineering on architecture, APIs, inference, MLOps, orchestration, reliability, observability, capacity, and developer workflows
Frame complex problems, establish principles, evaluate tradeoffs, and move teams from ambiguity to execution
Communicate platform strategy and technical concepts to engineers, product teams, executives, and business leaders
Establish metrics for adoption, onboarding, productivity, reliability, performance, utilization, cost efficiency, governance, satisfaction, and business impact
Align Product, Engineering, Infrastructure, Governance, Security, Data, Finance, Procurement, and business teams
Recruit and develop product leaders and build a high-performing product organization
Establish the Enterprise AI Platform as Walmart’s preferred foundation for building and operating AI

Requirements

What you’ll need

Bachelor’s degree in computer science, engineering, or related area and 13 years’ experience in product management; or 15 years’ experience in product management or related area
Extensive product leadership experience building and scaling AI/ML platforms, developer platforms, cloud platforms, infrastructure products, or other highly technical enterprise platforms
Demonstrated success defining platform strategy and translating it into roadmaps, technical capabilities, operating mechanisms, adoption, and measurable outcomes
Strong understanding of machine learning, generative AI, foundation models, multimodal systems, AI agents, inference, MLOps, model lifecycle management, evaluation, observability, and AI infrastructure
Technical depth to engage with senior engineers, architects, technical leaders, infrastructure teams, and AI experts on architectural and product decisions
Understanding of product judgment, reusable platform capabilities, APIs, platform abstractions, developer workflows, distributed systems, reliability, performance, and cloud infrastructure
Understanding of AI economics, including model pricing, token consumption, inference costs, infrastructure utilization, capacity, and cost-performance tradeoffs
Ability to operate in rapidly evolving and ambiguous environments and drive decisions and execution
Strong strategic and systems thinking
Exceptional storytelling and executive communication skills
Ability to influence senior leaders and technical teams across organizational boundaries
Strong business and financial acumen
Experience building and developing strong product teams and senior product leaders
Entrepreneurial mindset combined with enterprise leadership maturity

Benefits

Comp & perks

Performance-based bonus awards
Medical, vision, and dental coverage
401(k)
Stock purchase
Company-paid life insurance
PTO including sick leave
Parental leave
Family care leave
Bereavement leave
Jury duty leave
Voting leave
Short-term and long-term disability
Company discounts
Military Leave Pay
Adoption and surrogacy expense reimbursement
Vacation, sick leave, and holiday PTO/PPTO
Live Better U education benefit, including fully paid tuition, books, and fees for eligible programs
English Language Learning and short-form certificate programs
Stock
Annual or quarterly performance bonuses