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About the role
Key responsibilities & impact- Define the long-term product vision and strategy for Agentic Advertising
- Determine how advertising can create value in AI-powered commerce experiences
- Translate strategic questions into a product thesis, multi-year roadmap, investment strategy, and measurable business outcomes
- Lead development of advertising products for Walmart’s AI and agentic surfaces, including Sparky
- Design conversational commerce, sponsored recommendations, agent-assisted discovery, dynamic brand experiences, and agent-to-agent advertising formats
- Establish principles for relevance, transparency, control, measurement, and trust
- Define Walmart Connect’s advertising strategy across external AI platforms, partner experiences, and emerging agent ecosystems
- Leverage Walmart’s commerce intent, first-party data, measurement, audiences, merchant relationships, and transaction signals
- Partner with engineering, business development, legal, privacy, enterprise AI, and other teams on build/partner/platform decisions
- Define advertising product strategy for agent-to-agent commerce, including objectives, product information, offers, budgets, bids, context, relevance, and measurement
- Help define APIs, protocols, platforms, decisioning systems, and marketplace mechanics
- Build reusable platforms and capabilities supporting multiple agentic experiences
- Ensure architecture supports interoperability, experimentation, global scale, responsible AI, and rapid evolution
- Create experimentation and measurement frameworks covering customer utility, advertiser outcomes, incrementality, revenue, engagement, trust, and ecosystem health
- Lead partnerships across Walmart Connect, eCommerce, Enterprise AI, Data Ventures, Marketplace, Engineering, Design, Data Science, Partnerships, Legal, Privacy, and Corporate Strategy
- Influence senior executives through product judgment, structured narratives, customer insight, technical understanding, and data
- Build and lead a high-caliber product organization focused on AI, advertising, and commerce
- Attract leaders and create a culture combining imagination with execution rigor
Requirements
What you’ll need- Bachelor's degree in computer science, engineering, or related area and 15 years’ experience in product management; OR 17 years’ experience in product management or related area
- Minimum 15 years of product management experience under Option 1, or 17 years under Option 2
- Preferred: Master’s degree in Computer Science, Engineering, Business Administration or related area and 14 years’ experience as a product manager
- Preferred supervisory experience
- Preferred knowledge of WCAG 2.2 AA standards and assistive technologies
- Preferred knowledge of digital accessibility best practices
- Ability to work on consumer-facing, large-scale, highly complex B2B/C products (preferred)
- Knowledge of AI, agents, advertising, and commerce
- Product strategy, roadmap, investment strategy, and business outcome definition
- Experience or capability in experimentation, customer research, advertiser validation, and measurement frameworks
- Technical understanding and data-driven product judgment
- Ability to lead across engineering, design, data science, partnerships, legal, privacy, and business teams
- Ability to build and lead product organizations in ambiguous environments
Benefits
Comp & perks- Drug-free workplace
- Safe and productive work environment