(USA) Principal, Product Manager - Agentic Seller Growth

Walmart Canada

• $143K — $286K *
Consumer Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in computer science, engineering, or related area and 9 years' experience in product management, or 11 years' experience in product management or related area.
  • Experience shipping AI products, particularly LLM-powered or agentic capabilities.
  • Strong experimentation mindset with a track record of leading growth products driven by testing.
  • Exceptional product storytelling skills to translate complex data into clear narratives.
  • Ownership in ambiguity, capable of tackling complex problems and moving teams forward without detailed specifications.

Responsibilities

  • Shape and advance the vision for AI-powered seller growth.
  • Collaborate with leadership to define strategic priorities for seller growth.
  • Rally cross-functional teams around a shared roadmap for AI insights and recommendations.
  • Partner with Data Science and Engineering to create relevant and trusted insights from marketplace data.
  • Develop AI tools for account managers to enhance seller support and outcomes.
  • Build and scale agentic features, ensuring quality and relevance through evaluation frameworks.
  • Track and analyze the impact of recommendations on seller retention and GMV, designing rigorous experiments.

Benefits

  • 401(k) match
  • Stock purchase plan
  • Paid maternity and parental leave
  • Paid time off (PTO)
  • Multiple health plans
Full Job Description
Position Summary...

What you'll do...
Walmart's Global Marketplace is one of the fastest-growing businesses inside the world's largest retailer. We run like a startup: small teams, high ownership, fast decisions.

Sellers don't need another dashboard that tells them what already happened. They need to know what to do next. This is an AI-first role. As Principal PM for Seller Growth, you'll build the AI that turns signals from shoppers, sellers, advertisers and account managers into recommendations sellers trust and act on. Those recommendations reach sellers directly and through the account managers who support them.

You'll own the whole loop: which signals matter, what we recommend, how sellers act, and whether it moved their GMV. You'll ship LLM-powered and agentic experiences, and you'll prove their impact with rigorous experimentation. Throughout, you'll grow sellers' sales without ever trading away their trust.

This is a hands-on IC role with org-wide reach. You'll launch products yourself, coach the PMs around you, and set the bar for how we build with AI.

What you'll do:
  • Shape the vision and carry it forward.

  • Work with leadership to define a bold vision for AI-powered seller growth.

  • Rally product, engineering, science and design teams around a shared set of priorities, and own the roadmap that makes it real across AI insights, recommendations and account-management tooling
  • Connect the signals. Partner with Data Science and Engineering to combine omni-shopping and marketplace data into insights and recommendations that are relevant, explainable and trusted
  • Multiply account managers. Give account teams AI tools that let them serve more sellers, with better outcomes, in less time
  • Build with LLMs and agents. Take agentic features from prototype to global scale. Define how we evaluate quality, relevance and trust before and after launch
  • Own the numbers, end to end. Track impact from recommendation adoption through seller retention to GMV. Design experiments that isolate causal impact, set decision criteria before tests run, and tell the story clearly to senior executives
  • Lead through influence. Align senior executives across Growth, Account Management, Engineering, Data Science, Advertising, Operations and Design on one roadmap


What you'll bring:
  • A seller-first mindset. You stay close to sellers, understand how they run their businesses, and translate their needs into products that help them grow.
  • A strong experimentation mindset. You've led growth products where testing drives decisions. You can separate real signal from noisy results, compound incremental gains into meaningful growth, and recognize when a bold bet requires judgment rather than another test.
  • Experience shipping AI products. You've taken LLM-powered or agentic capabilities from concept to production and know how to define and evaluate quality, relevance, reliability, and trust.
  • Ownership in ambiguity. You take on complex problems, create clarity, and move teams forward without waiting for someone to hand you a fully formed specification.
  • Exceptional product storytelling. You turn complex data and technical concepts into clear narratives that align teams and help senior leaders make decisions.


Preferred qualifications
  • Track record of running experimentation programs at scale
  • Shipped LLM or agentic features to production, including the evaluation frameworks behind them.
  • Experience both building new products from scratch and scaling existing ones
  • Experience with two-sided marketplaces, seller or merchant platforms, ads, or B2B growth
  • Experience with recommendation systems or personalization
  • Built tools for sales, account management or customer success teams
  • Led products across multiple countries or markets
  • Comfortable pulling and analyzing your own data
  • Hands-on prototyping with AI tools


Benefits:
Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.

The annual salary range for this position is $143,000.00 - $286,000.00

Additional compensation includes annual or quarterly performance bonuses.

Additional compensation for certain positions may also include :

- Stock
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Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelor's degree in computer science, engineering, or related area and 9 years' experience in product management. Option 2: 11 years' experience in product management or related area.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Master's degree in Computer Science, Engineering, Business Administration, or related area and 8 years' experience as a product manager, ideally working on consumer-facing, large-scale, highly complex B2B/C products, Supervisory experience, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture.

Masters: Business Administration, Masters: Computer Engineering, Masters: Computer Science

Primary Location...

850 Cherry Ave, San Bruno, CA 94066-3031, United States of America

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