Staff, Product Manager, Customer Growth
About The Position
We are building an AI-enabled Customer Growth platform focused on improving customer engagement, retention, and lifetime value across digital and omnichannel experiences. The organization operates at the intersection of: AI/ML-driven personalization, Experimentation and optimization systems, Customer data and behavioral intelligence, Recommendation and decisioning platforms, Lifecycle engagement and messaging orchestration, and Omnichannel customer growth. Our mission is to create a closed-loop growth engine that continuously learns from customer behavior and optimizes customer experiences at scale. We are seeking a strong Product Manager to lead AI-driven growth and personalization initiatives across customer engagement ecosystems. This leader will own strategy, roadmap, experimentation, and execution for products leveraging behavioral signals, machine learning, and optimization systems to improve engagement, retention, frequency, and wallet share. The ideal candidate combines strong product judgment with analytical rigor, experimentation sophistication, systems thinking, and technical fluency.
Requirements
- Bachelor’s degree in computer science, engineering, or related area and 7 years’ experience in product management.
- 9 years’ experience in product management or related area.
- Strong analytical and quantitative problem-solving skills.
- Experience leading complex cross-functional initiatives involving Engineering and Data Science teams.
- Experience owning products or platforms with measurable business impact.
- Strong experimentation background including A/B testing and statistical reasoning.
- Technical fluency with data platforms, experimentation systems, APIs, and ML concepts.
- Strong executive communication and organizational influence skills.
- Strong systems thinking and structured problem solving.
- High analytical rigor and data fluency.
- Deep partnership with Data Science and Engineering teams.
- Sophisticated experimentation mindset.
- Ability to connect customer insights to scalable platform capabilities.
- Strong ownership and execution discipline.
- Learning agility and technical curiosity around AI/ML systems.
Nice To Haves
- Master’s degree in Computer Science, Engineering, Business Administration, or related area and 6 years’ experience as a product manager, ideally working on consumer-facing, large-scale, highly complex B2B/C products.
- Experience building AI/ML-driven products, personalization systems, recommendation engines, or growth platforms.
- Experience with customer engagement, retention, CRM, loyalty, or lifecycle ecosystems.
- Personalization and recommendation systems.
- Experimentation and optimization platforms.
- AI-assisted engagement systems.
- Messaging optimization and lifecycle orchestration.
- Customer segmentation and propensity modeling.
- Martech, adtech, or customer data platforms.
- Behavioral analytics and decisioning systems.
- Knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
- Knowledge of accessibility best practices and Walmart’s accessibility standards and guidelines.
Responsibilities
- Own strategy, roadmap, experimentation, and execution for products leveraging behavioral signals, machine learning, and optimization systems to improve engagement, retention, frequency, and wallet share.
- Lead AI-driven growth and personalization initiatives across customer engagement ecosystems.
- Connect customer insights to scalable platform capabilities.
- Drive execution discipline and demonstrate strong ownership.
- Foster learning agility and technical curiosity around AI/ML systems.
- Partner closely with Data Science and Engineering teams.
- Develop and optimize personalization and recommendation systems.
- Implement and manage experimentation and optimization platforms.
- Build AI-assisted engagement systems.
- Optimize messaging and lifecycle orchestration.
- Develop customer segmentation and propensity models.
- Work with Martech, adtech, or customer data platforms.
- Analyze behavioral data and decisioning systems.
Benefits
- Competitive pay
- Performance-based bonus awards
- Medical coverage
- Vision coverage
- Dental coverage
- 401(k)
- Stock purchase
- Company-paid life insurance
- PTO (including sick leave)
- Parental leave
- Family care leave
- Bereavement
- Jury duty
- Voting leave
- Short-term disability
- Long-term disability
- Company discounts
- Military Leave Pay
- Adoption and surrogacy expense reimbursement
- Live Better U education benefit program (for full-time and part-time associates)
- Tuition, books, and fees completely paid for by Walmart (through Live Better U)
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What This Job Offers
Job Type
Full-time
Career Level
Senior
