Senior Manager, Product Management, Risk Decisioning Platform

Walmart•Sunnyvale, CA

About The Position

Walmart Marketplace is seeking a Senior Manager, Product Management to lead the strategy and development of a next-generation Risk and Compliance Decision Platform. The platform will bring together machine learning models, risk signals, business rules, policies, and third-party data to support consistent, explainable, and scalable decisions across the Marketplace. It will enable teams to develop and manage decision strategies, evaluate changes before deployment, automate actions, and continuously measure decision effectiveness. This cross-functional leadership role sits at the intersection of Product, Engineering, Data Science, Risk, and Operations. The position leads a team of product managers and develops reusable platform capabilities across seller onboarding, lifecycle risk, compliance, fraud, and enforcement. The role also partners with Engineering and Data Science to define platform architecture and operationalize machine-learning and AI capabilities at scale. Walmart Marketplace Trust builds products and platforms to help the Marketplace grow safely, protect customers, and enable trusted sellers to succeed. The Risk Decision Platform is a foundational part of this work, turning risk signals, models, and policies into consistent decisions and actions at scale. This role will shape the platform from strategy through execution, build a product team, and establish capabilities reusable across risk domains globally.

Requirements

At least 8 years of product management experience and a strong track record building and scaling complex risk and fraud platforms.
At least 3 years as a people leader, with experience building, leading, and developing high-performing product teams.
Direct experience building a risk decisioning platform, decision engine, fraud platform, credit decisioning platform, or comparable automated decision system.
Strong verbal and written communication skills.
Deep understanding of how machine-learning models, risk signals, rules, policies, and data are orchestrated into automated decisions and actions.
Strong technical fluency across APIs, real-time and batch systems, data platforms, event-driven architectures, and machine-learning infrastructure.
Demonstrated ability to lead complex, ambiguous initiatives across Product, Engineering, Data Science, Risk, Compliance, and Operations.
Experience in large-scale Marketplace or eCommerce organizations.
Minimum qualification: Option 1: bachelor's degree in computer science, engineering, or a related area and 9 years of product management experience; or Option 2: 11 years of experience in product management or a related area.

Nice To Haves

Master’s degree in Computer Science, Engineering, Business Administration, or a related area and 8 years of experience as a product manager, ideally working on consumer-facing, large-scale, highly complex B2B/C products.
Supervisory experience.
Knowledge of implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and digital accessibility best practices.

Responsibilities

Lead the product strategy and roadmap for a next-generation Risk Decision Platform serving seller onboarding, lifecycle risk, compliance, and enforcement.
Lead and develop a team of product managers responsible for the risk decisioning ecosystem.
Build a common decisioning platform that combines machine-learning models, risk scores, behavioral signals, third-party data, and business rules to determine appropriate actions.
Enable Risk and Compliance teams to configure decision strategies, thresholds, and actions without requiring engineering changes for every policy update.
Build end-to-end decision orchestration, from ingesting risk signals through evaluating decision logic and executing actions.
Build closed-loop measurement connecting decisions to downstream outcomes and enabling measurement of false positives, false negatives, and overall decision effectiveness.
Establish enterprise-grade governance, including strategy versioning, approvals, change history, rollback, explainability, and auditability.
Create reusable platform capabilities and APIs so new risk signals and models can be integrated and adopted across multiple use cases.
Partner with Engineering and Data Science to define platform architecture and operationalize machine-learning and AI capabilities at scale.

Benefits

Competitive pay and performance-based bonus awards.
Medical, vision, and dental coverage.
401(k), stock purchase, and company-paid life insurance.
Paid time off, including sick leave, parental leave, family care leave, bereavement, jury duty, and voting leave.
Short-term and long-term disability.
Company discounts.
Military Leave Pay.
Adoption and surrogacy expense reimbursement.
PTO and/or PPTO that may be used for vacation, sick leave, holidays, or other purposes.
Live Better U education benefit program for eligible full-time and part-time associates; Walmart pays tuition, books, and fees for eligible programs.