Group Director, Product Management - Search & Recommendations Quality

Walmart

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Sunnyvale, CA
Salary: $254,000–$481,000 / yr
Posted: 74 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $231k

This role $368k

$153k most similar roles pay here $516k

This role pays more than 98% of similar roles. Most pay $193,937–$267,900 — the shaded band above. At the midpoint, this role pays about $368k versus about $231k for comparable roles.

Based on 240 similar postings.

Employer

About Walmart

Walmart Inc. is the world''s largest retailer by revenue, operating a chain of hypermarkets, discount department stores, and grocery stores, as well as a growing e-commerce presence through Walmart.com. Industry: General Merchandise & Grocery Retail

Walmart currently has 184 open roles on FindRole.

Listed pay typically runs $117,000–$234,000 across 180 roles with salary data.

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At a glance

TL;DR · Group Director, Product Management - Search & Recommendations Quality

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Group Director, Product Management – Search & Recommendations Quality leads multiple product organizations focused on search quality, recommendation systems, and discovery optimization platforms across a vast digital ecosystem. This leader defines the long-term vision for how customers find and engage with products by overseeing ranking and retrieval systems, multi-objective optimization, and exploration-exploitation capabilities. The role involves building scalable frameworks to balance customer relevance with assortment exposure while managing search quality measurement and evaluation. Key responsibilities include driving innovation in machine learning-powered discovery and coordinating with engineering, data science, and design teams to improve conversion and satisfaction. The position requires expertise in search systems, recommendation engines, experimentation frameworks, and machine learning technologies. This role solves complex discovery challenges by integrating unified ranking frameworks and arbitration strategies to enhance the end-to-end customer journey across various business units and international markets.

Skills

Machine Learning Search Systems Recommendation Systems Multi-objective Optimization Experimentation Frameworks Retrieval Systems Data Science Analytics WCAG) 2.2 AA Product Management Query Understanding

What you'll do

Define and execute the long-term vision and strategy for Search and Recommendations Quality across the digital ecosystem.
Lead the product roadmap for search relevance, retrieval systems, ranking frameworks, and evaluation metrics.
Develop strategies for recommendation systems to improve customer engagement and discovery across all platforms.
Oversee the development of multi-objective optimization platforms that balance customer relevance with business goals.
Manage a team of senior product leaders while building organizational capability and leadership bench strength.
Drive innovation in machine learning-powered discovery and experimentation frameworks at scale.
Align cross-functional stakeholders across Engineering, Data Science, Design, and Advertising to achieve unified search goals.
Communicate strategy and investment recommendations to executive leadership to drive enterprise-wide alignment.

What we're looking for

A Bachelor’s degree in computer science, engineering, or a related field is required.
Candidates must have at least 15 years of experience in product management if they hold a Bachelor's degree.
Alternatively, candidates may qualify with 17 years of experience in product management or a related area.
Experience leading search, recommendations, marketplace, discovery, or AI-driven consumer platforms at scale is preferred.
Candidates should have deep knowledge of search systems, recommendation systems, and machine learning-powered products.
Proficiency in experimentation frameworks, optimization systems, and multi-objective optimization is required.
A Master’s degree in Computer Science, Engineering, or Business Administration is a preferred qualification.
Experience leading large-scale, complex B2C/B2B products and managing supervisory roles is preferred.

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