Principal, Product Manager, Core UI Experience and Measurement

📍 Job Overview

Job Title: Principal, Product Manager, Core UI Experience and Measurement

Company: Walmart

Location: Bentonville, AR; Bellevue, WA; San Bruno, CA; Hoboken, NJ

Job Type: FULL_TIME

Category: Product Management (AI/ML, B2B Platforms)

Date Posted: 2026-04-14

Experience Level: 10+ years

🚀 Role Summary

• Owns the product vision, strategy, and roadmap for the core UI and measurement framework of Marty, Walmart's B2B AI-powered agentic platform.

• Drives the end-to-end conversational UI experience, defining interaction models, content presentation, and multi-modal surfaces for B2B partners.

• Establishes and manages a robust measurement framework to quantify Marty's impact on partner outcomes, including performance lift, task completion, and partner satisfaction.

• Leads cross-functional execution across engineering, AI/ML, UX design, data science, sales enablement, and go-to-market teams to deliver aggressive product roadmaps.

• Acts as the voice of the advertiser, translating complex AI capabilities into tangible user value and ensuring consumer-grade experiences within enterprise platforms.

📝 Enhancement Note: This role is positioned as a Principal Product Manager, indicating a senior level of responsibility and strategic impact within Walmart's B2B AI initiatives. The focus on "Core UI Experience and Measurement" for an "AI-powered agentic platform" suggests a deep dive into user interaction with AI, the effectiveness of those interactions, and the ability to scale these experiences across a large enterprise. The role requires a blend of product strategy, user experience design principles, data analysis, and AI/ML product acumen.

📈 Primary Responsibilities

• Define and evolve the product vision and roadmap for Marty's conversational UI, including interaction patterns, content structuring, and multi-modal interface surfaces.

• Shape the interaction model for how B2B partners converse with Marty, including response structuring, surfacing agentic actions, and managing confirmation and execution flows.

• Drive the design and delivery of new UI capabilities such as rich research reports (e.g., Change Analysis, Impression Share of Voice, Category Benchmarks), personalized alerts, and proactive recommendations.

• Strategically manage the progressive disclosure of AI capabilities, determining how and when Marty communicates its reasoning, offers suggestions, and performs autonomous actions.

• Build and own the end-to-end measurement framework to quantify Marty's impact on partner outcomes, focusing on performance lift, time-to-value, task completion rates, and partner satisfaction.

• Define, track, and analyze key success metrics including adoption, engagement depth, retention, query resolution rates, and downstream business metrics.

• Partner with data science to design and implement experimentation strategies (A/B testing, holdout groups) to isolate Marty's incremental value and inform product iteration.

• Establish feedback loops by leveraging conversation analytics, user behavior data, and qualitative research to continuously enhance experience quality and AI response accuracy.

• Lead cross-functional execution, aligning engineering, AI/ML, UX design, data science, sales enablement, and go-to-market teams to deliver on an aggressive roadmap.

• Influence stakeholders and senior leadership without direct authority to build consensus around Marty's strategic evolution.

• Make critical trade-offs between speed, quality, automation, control, simplicity, and power, grounded in data and customer insights.

• Champion the voice of the advertiser throughout the product development lifecycle, translating complex AI functionalities into clear business value.

📝 Enhancement Note: The responsibilities highlight a dual focus on user experience and quantifiable business impact. The emphasis on "progressive disclosure of AI capabilities" and "agentic actions" indicates a sophisticated approach to human-AI interaction design. The requirement to "drive cross-functional execution" and "influence without authority" are critical for success in a large organization like Walmart, especially for a principal-level role.

🎓 Skills & Qualifications

Education:

• Option 1: Bachelor’s degree in Computer Science, Engineering, or a related technical field, plus 9 years of experience in product management.

• Option 2: 11 years of experience in product management or a related field.

Experience:

• 10+ years of product management experience, with a minimum of 3 years in a senior/principal capacity owning complex, cross-functional products.

• Deep experience with UI/UX-intensive B2B products, having shipped consumer-grade experiences in enterprise, advertising, supplier, or seller platforms.

• Strong fluency in measurement and analytics, including building success metrics frameworks, designing experiments, and using data to drive product decisions at scale.

• Experience with AI/ML-powered products, understanding the nuances of shipping conversational AI, agentic systems, or intelligent assistants. LLM-based product experience is a strong plus.

• Background in advertising, digital media, supplier, or seller technology, with an understanding of associated workflows, needs, and the ecosystem.

Required Skills:

• Product Strategy & Roadmap: Ability to define and articulate a compelling product vision and roadmap for complex AI-driven platforms.

• UI/UX Design Principles: Deep understanding of user-centered design, interaction models, and creating consumer-grade experiences for B2B applications.

• Measurement & Analytics: Expertise in defining KPIs, building measurement frameworks, designing A/B tests, and leveraging data for product decisions.

• AI/ML Product Acumen: Familiarity with conversational AI, agentic systems, and the challenges of shipping AI-powered products.

• Cross-functional Leadership: Proven ability to lead and influence diverse teams (Engineering, Design, Data Science, GTM) without direct authority.

Preferred Skills:

• B2B Platform Experience: Experience with retail media platforms (e.g., Walmart Connect, Amazon Ads, Criteo, CitrusAd), Seller, or Supplier platforms.

• Conversational AI/Agentic Systems: Specific background in chatbots, agentic AI systems, LLM integration patterns, prompt engineering, and responsible AI principles.

• 0→1 Product Development: Track record of defining and scaling new products from beta to general availability.

• Platform-Level Influence: Experience influencing platform-level decisions across multiple product areas within a large organization.

• Digital Accessibility: Knowledge of implementing Web Content Accessibility Guidelines (WCAG 2.2 AA) and integrating digital accessibility into product development.

📝 Enhancement Note: The minimum qualifications emphasize extensive experience in product management, particularly with complex B2B products and AI/ML. The preferred qualifications point towards specialized knowledge in retail media, conversational AI, and the practicalities of scaling new products, which are highly relevant for this role at Walmart. The inclusion of accessibility as a preferred qualification underscores Walmart's commitment to inclusive design for all users.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Case Studies of Complex Product Launches: Showcase successful product launches, particularly those involving AI/ML, B2B platforms, or significant UI/UX overhauls. Demonstrate end-to-end ownership from ideation to market.

• Demonstration of Measurement Frameworks: Provide examples of how you've defined success metrics, built measurement frameworks, and used data analytics (including A/B testing results) to drive product decisions and demonstrate ROI.

• Examples of UI/UX Design for B2B: Illustrate your ability to translate complex functionalities into intuitive, consumer-grade user experiences for business users, highlighting interaction design and user flow optimization.

• AI/ML Product Development Artifacts: Include examples of product requirement documents (PRDs), user stories, or strategy documents for AI-powered products, showcasing an understanding of AI's unique development lifecycle and constraints.

• Cross-functional Collaboration Evidence: Present instances where you've effectively collaborated with engineering, design, data science, and GTM teams, highlighting your role in aligning these groups towards a common product vision.

Process Documentation:

• Product Strategy & Vision Documentation: Evidence of developing and communicating clear product strategies, visions, and roadmaps for complex initiatives.

• User Journey Mapping & Optimization: Documentation demonstrating how you've mapped user journeys for B2B partners and implemented improvements to enhance efficiency and satisfaction.

• Experimentation Design & Analysis: Examples of experiment designs (e.g., A/B tests, multivariate tests) and detailed analysis of results, showing how these informed product iteration and strategy.

• Agile Development Process Adherence: Familiarity with and experience in agile methodologies, including sprint planning, backlog refinement, and feature prioritization.

• Data-Driven Decision-Making Artifacts: Showcase how data has been integrated into the decision-making process, from feature prioritization to go-to-market strategy.

📝 Enhancement Note: For a Principal Product Manager role focused on AI and user experience, a portfolio should not only detail product successes but also demonstrate a deep understanding of the process behind them. This includes strategic planning, user research, data analysis methodologies, cross-functional alignment, and the iterative nature of AI product development. Highlighting quantitative impact through metrics and ROI is crucial.

💵 Compensation & Benefits

Salary Range:

• Bentonville, Arkansas: $110,000 - $220,000 annually

• Bellevue, Washington: $132,000 - $264,000 annually

• Hoboken, New Jersey: $132,000 - $264,000 annually

Additional Compensation:

• Annual or quarterly performance bonuses are possible.

Benefits:

• Health & Wellness: Medical, vision, and dental coverage. Short-term and long-term disability.

• Financial Security: 401(k) plan, stock purchase program, company-paid life insurance.

• Work-Life Balance: Paid Time Off (PTO) including sick leave, parental leave, family care leave, bereavement leave, jury duty, and voting leave.

• Learning & Development: Live Better U education benefit program (fully paid tuition for high school completion to bachelor's degrees, certifications, etc.).

• Other Perks: Company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement.

Working Hours:

• Typically 40 hours per week, as is standard for full-time roles.

• 📝 Enhancement Note: The salary ranges provided are specific to location, reflecting significant differences in cost of living and market rates across the US. The inclusion of performance bonuses and stock options indicates a compensation structure that rewards high impact and long-term contribution, typical for principal-level roles. The comprehensive benefits package, especially the Live Better U program, highlights Walmart's investment in employee growth and well-being.

📝 Enhancement Note: Salary ranges were provided directly in the job description for specific locations. The methodology for these ranges is based on Walmart's stated compensation structure for this role in those respective regions. The benefits listed are comprehensive and typical for a large enterprise, with a notable emphasis on educational opportunities.

🎯 Team & Company Context

🏢 Company Culture

Industry: Retail, E-commerce, Technology

Company Size: Walmart is one of the world's largest retailers, employing millions globally. This large scale means operations and product development occur at a massive, impactful level.

Founded: 1962 by Sam Walton. With a long history, Walmart has evolved from a discount retailer to a global technology and e-commerce powerhouse, integrating advanced digital solutions into its operations.

Team Structure:

• Operations Focus: The role sits within a team focused on AI-powered agentic platforms for B2B partners, specifically "Marty." This suggests a dedicated product team operating at the intersection of AI/ML, user experience, and B2B solutions within Walmart's broader technology organization.

• Reporting: While not explicitly stated, a Principal Product Manager typically reports to a Director or VP of Product Management, overseeing a specific product domain.

• Cross-functional Collaboration: The role emphasizes heavy collaboration with Engineering, AI/ML, UX Design, Data Science, Sales Enablement, and Go-to-Market teams. This indicates a matrixed environment where influence and partnership are key to success.

Methodology:

• Data-Driven Decision Making: The role explicitly requires building measurement frameworks, designing experiments, and using data to drive product decisions, indicating a strong data-centric culture.

• Agile & Iterative Development: While not explicitly stated, the mention of roadmaps, iterative improvements, and cross-functional execution aligns with agile principles common in tech product development.

• Customer-Centricity: The role's mandate to "represent the voice of the advertiser" and "translate complex AI capabilities into tangible user value" underscores a commitment to understanding and serving B2B customer needs.

Company Website: https://corporate.walmart.com/

📝 Enhancement Note: Walmart's scale and long history in retail provide a unique context for this role. The "Marty" platform is a strategic initiative to enhance B2B partner engagement through AI, positioning this role at the forefront of innovation within a traditional retail giant. The emphasis on data and customer voice is critical for navigating such a large and complex organization.

📈 Career & Growth Analysis

Operations Career Level: Principal Product Manager. This is a senior individual contributor role, often considered one of the highest levels before moving into management. It signifies deep expertise, strategic influence, and the ability to drive complex, high-impact initiatives independently. The role is responsible for setting direction and influencing across multiple product areas.

Reporting Structure: As a Principal Product Manager, you would likely report to a Director or VP of Product, with dotted-line reporting or strong collaborative relationships with Engineering Leads, Design Leads, and Data Science Leads for the Marty platform.

Operations Impact: The impact of this role is significant, directly influencing how Walmart's B2B partners interact with and leverage Walmart's advertising and commerce platforms. Success means driving adoption, improving partner efficiency, and ultimately contributing to increased revenue and partner loyalty for Walmart. The measurement framework will be critical for quantifying this impact.

Growth Opportunities:

• Leadership in AI/ML Product: Deepen expertise in AI product management, conversational AI, and agentic systems, becoming a recognized leader in this cutting-edge field within Walmart.

• Strategic Influence: Opportunity to shape the future of Walmart's B2B offerings and influence platform-level decisions across the organization, potentially leading to broader product domain ownership.

• Product Line Expansion: Potential to lead the expansion of Marty's capabilities into new B2B use cases or across different Walmart business units.

• Mentorship & Thought Leadership: As a Principal, you'll have opportunities to mentor junior product managers and act as a thought leader in product strategy and AI product development.

• Move to Management: A successful tenure as a Principal PM can serve as a strong foundation for transitioning into Product Management leadership roles (e.g., Group Product Manager, Director).

📝 Enhancement Note: The "Principal" title signifies a high level of autonomy and strategic responsibility. Growth opportunities are geared towards deepening specialized expertise in AI/ML product management and expanding influence within a global enterprise, with a clear path toward leadership or broader product ownership.

🌐 Work Environment

Office Type: This role is designated as "On-site" with primary location in Bentonville, AR. However, multiple US locations are listed as potential work sites (Bellevue, WA; San Bruno, CA; Hoboken, NJ), suggesting a hybrid or flexible on-site presence might be possible, with Bentonville being the central hub.

Office Location(s):

• Bentonville, AR (Primary)

• Bellevue, WA

• San Bruno, CA

Workspace Context:

• Collaborative Environment: Given the emphasis on cross-functional collaboration and the nature of product development, expect a dynamic and interactive workspace, likely with open-plan areas and team meeting rooms.

• Tools & Technology: Access to Walmart's extensive technology infrastructure, including advanced development tools, data analytics platforms, and communication systems. Being at the forefront of AI means using cutting-edge tools for development and testing.

• Team Interaction: Opportunities for regular interaction with product, engineering, design, and data science teams, fostering a culture of shared problem-solving and innovation.

Work Schedule:

• The standard work week is 40 hours, typical for full-time employment.

• While the role is on-site, the multiple location options might imply flexibility for certain roles, though Bentonville is the primary stated location.

📝 Enhancement Note: The "On-site" designation with multiple listed locations suggests that while the role is primarily office-based, there might be some flexibility or specific team structures that allow for presence at other Walmart tech hubs. Bentonville, as the "Home Office," implies it's the central point of operations for this initiative.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Likely a recruiter screen followed by an interview with the hiring manager (Director/VP of Product) to assess overall fit, experience, and strategic alignment.

• Product Deep Dive: Expect multiple rounds focused on product management skills, including strategy, execution, user experience, and measurement. This may involve presenting case studies from your portfolio.

• Cross-Functional Interviews: Interviews with key stakeholders from Engineering, Design, and Data Science to evaluate collaboration style, technical understanding, and ability to influence.

• Executive/Principal Interview: A final interview with senior leadership to assess strategic thinking, leadership potential, and executive presence.

• Challenge/Case Study: A common component for Principal PM roles is a product case study or a strategic challenge that requires you to apply your skills to a relevant problem. This will likely involve presenting your findings and recommendations.

Portfolio Review Tips:

• Focus on Impact: For each project, clearly articulate the business problem, your specific role and contributions, the solutions implemented, and most importantly, the measurable business outcomes (e.g., % increase in adoption, % reduction in task completion time, $ impact).

• Showcase B2B & AI Experience: Highlight projects that demonstrate your experience with complex B2B platforms, UI/UX design for enterprise users, and ideally, AI/ML-powered products.

• Detail Measurement & Analytics: For relevant projects, walk through how you defined success metrics, designed experiments (even if hypothetical), and used data to inform decisions and demonstrate value.

• Structure for Clarity: Organize your portfolio logically. Use a consistent format for each case study (Problem, Solution, Role, Impact). Be prepared to walk through your most relevant projects concisely and engagingly.

• Address Trade-offs: Be ready to discuss difficult decisions, trade-offs made, and how you navigated challenges, particularly in cross-functional settings.

Challenge Preparation:

• Understand Marty's Context: Research Walmart's B2B offerings, their target advertisers, and the general landscape of AI in customer service and advertising.

• Think Strategically: Be prepared to address high-level strategic questions about product vision, market positioning, competitive landscape, and future growth for Marty.

• Focus on User & Measurement: For any challenge, ground your recommendations in user needs (B2B partners) and how you would measure success and impact.

• Articulate Reasoning: Clearly explain your thought process, assumptions, and the data (or lack thereof) that informs your recommendations.

📝 Enhancement Note: The interview process for a Principal role at a company like Walmart will be rigorous and multi-faceted, testing strategic thinking, execution capabilities, and collaborative skills. A well-prepared portfolio that clearly demonstrates quantifiable impact and relevant experience is essential. The case study will likely focus on a real-world problem related to AI, UI, or measurement in a B2B context.

🛠 Tools & Technology Stack

Primary Tools:

• Product Management Platforms: Jira, Confluence, Asana, or similar for backlog management, sprint planning, and documentation.

• Prototyping & Design Tools: Figma, Sketch, Adobe XD for UI/UX design collaboration and wireframing.

• Analytics & Data Visualization: Tableau, Power BI, Looker, Google Analytics, or internal Walmart analytics tools for data analysis and dashboard creation.

• Collaboration Suites: Microsoft Teams, Slack for real-time communication and team collaboration.

Analytics & Reporting:

• Experimentation Platforms: Tools for A/B testing and multivariate testing (e.g., Optimizely, internal platforms).

• Data Warehousing & Querying: SQL for data extraction and analysis; familiarity with data warehousing concepts.

• Business Intelligence Tools: For creating reports and dashboards to track KPIs and communicate performance.

CRM & Automation:

• CRM Systems: Experience with large-scale CRM systems (e.g., Salesforce) for understanding customer data and workflows, though direct management might not be required.

• AI/ML Development Frameworks: Familiarity with common AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch) and LLM technologies.

• Integration Tools: Understanding of APIs and how different systems integrate, especially for platform extensibility.

📝 Enhancement Note: While specific tools are not listed in the job description, the role's focus on AI, UI/UX, and measurement implies proficiency with a broad range of modern product development, analytics, and collaboration tools. Experience with data querying (SQL) and BI tools is highly probable. Familiarity with AI/ML frameworks is a plus, given the nature of the product.

👥 Team Culture & Values

Operations Values:

• Customer Obsession: A primary value, demonstrated by championing the "voice of the advertiser" and focusing on delivering tangible user value and partner outcomes.

• Data-Driven Decision Making: A strong emphasis on metrics, experimentation, and using data to inform strategy and product iterations.

• Innovation & Agility: Operating at the "frontier of applied AI" and "reimagining" B2B interactions suggests a culture that embraces new technologies and iterative development.

• Cross-Functional Collaboration: The need to "influence without authority" and drive execution across multiple teams highlights the importance of teamwork and strong interpersonal skills.

• Scale & Impact: Working at Walmart means operating at a massive scale, with a focus on delivering solutions that have a significant, measurable impact on the business.

Collaboration Style:

• Influence and Partnership: The role requires influencing diverse teams without direct authority, emphasizing strong communication, negotiation, and relationship-building skills.

• Shared Ownership: While owning the product vision, success relies on collaborative execution with engineering, design, and data science, fostering a sense of shared ownership.

• Feedback Integration: A culture that values feedback loops from conversation analytics, user behavior, and qualitative research to continuously improve the product.

• Transparency: With executive visibility, there's likely an expectation of transparent communication regarding progress, challenges, and decisions.

📝 Enhancement Note: Walmart's core values of "Serving our Customers," "Respect for the Individual," "Excellence," and "Innovation" likely underpin the team's operational values. For this role, customer obsession (B2B partners), innovation (AI/ML), and excellence (measurement, quality) are particularly relevant. The collaborative style is crucial for navigating a large enterprise.

⚡ Challenges & Growth Opportunities

Challenges:

• Scaling AI Experiences: Effectively scaling sophisticated AI conversational experiences to a large, diverse B2B user base while maintaining performance and reliability.

• Defining and Measuring Value: Quantifying the incremental value of AI-driven features and conversational interfaces for complex B2B workflows, especially in a competitive market.

• Cross-Functional Alignment: Ensuring alignment and effective collaboration across multiple highly skilled teams (Eng, AI/ML, UX, Data Science, GTM) with potentially competing priorities.

• Balancing Innovation with Enterprise Needs: Integrating cutting-edge AI technologies while meeting the stringent requirements of a large enterprise regarding security, scalability, and compliance.

• Evolving AI Landscape: Keeping pace with the rapid advancements in AI/ML, LLMs, and agentic systems, and strategically integrating them into the product roadmap.

Learning & Development Opportunities:

• Deep Dive into Applied AI: Gain hands-on experience shipping AI/ML products at enterprise scale, specifically in conversational AI and agentic systems.

• Retail Media & B2B Platform Expertise: Develop deep knowledge of the retail media ecosystem, B2B partner needs, and the specific challenges within Walmart's supplier and advertiser platforms.

• Product Leadership Development: Hone skills in strategic product definition, cross-functional influence, and executive communication, preparing for future leadership roles.

• Industry Engagement: Opportunities to engage with industry trends, conferences, and best practices in AI, UX, and product management.

• Mentorship: Access to senior leaders and experienced product professionals within Walmart for guidance and career development.

📝 Enhancement Note: The challenges are inherent to introducing advanced AI into a large, established enterprise. The growth opportunities are significant, focusing on specialized AI product expertise, impact within a major retail player, and career advancement into leadership.

💡 Interview Preparation

Strategy Questions:

• "How would you define the product vision for Marty's core UI and measurement framework over the next 1-3 years, considering Walmart's B2B strategy?"

• "What are the top 3-5 key metrics you would focus on to demonstrate Marty's value to B2B partners and Walmart leadership? How would you measure them?"

• "Describe a situation where you had to make a significant trade-off between feature velocity and product quality/reliability for a complex product. What was your approach and outcome?"

Company & Culture Questions:

• "How do you see Marty fitting into Walmart's broader ecosystem and competitive landscape in retail media/B2B services?"

• "Describe your experience working in large, matrixed organizations. How do you ensure alignment and drive progress when you don't have direct authority?"

• "What does 'customer obsession' mean to you in the context of a B2B AI product, and how would you embed that into the product development process?"

Portfolio Presentation Strategy:

• STAR Method for Case Studies: Structure your presentations using the Situation, Task, Action, Result (STAR) method. Clearly articulate the context, your specific role, the actions you took, and the measurable results.

• Quantify Everything: For each project, highlight the business impact using numbers and metrics. Be prepared to explain how you derived those numbers.

• Focus on the 'Why' and 'How': Don't just describe what you did; explain why you made certain decisions and how you executed them, especially your strategic thinking and problem-solving approach.

• Tailor to the Role: Emphasize projects that showcase your UI/UX, measurement, AI/ML, and B2B platform experience. Highlight instances of cross-functional leadership.

• Be Concise and Engaging: Practice your presentation to fit within time constraints, keeping it engaging and focused on the most impactful aspects of your work.

📝 Enhancement Note: Interview preparation should focus on demonstrating strategic thinking, data-driven decision-making, strong cross-functional leadership, and a deep understanding of AI product development in a B2B context. The portfolio presentation is a critical component to showcase practical experience and impact.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided career portal link.

• Tailor your Resume: Highlight experience in product management for complex B2B platforms, AI/ML products, UI/UX design, and measurement/analytics. Use keywords from the job description and incorporate quantifiable achievements.

• Prepare Your Portfolio: Curate 2-3 strong case studies that best exemplify your experience in UI/UX-intensive B2B products, measurement framework development, and/or AI/ML product management. Focus on demonstrating impact and strategic thinking.

• Research Walmart B2B: Understand Walmart's current B2B offerings, their target audience (advertisers, suppliers), and their strategic goals in areas like retail media and digital solutions.

• Practice Interview Responses: Prepare to answer behavioral and situational questions using the STAR method, focusing on your experience with AI products, cross-functional leadership, and data-driven decision-making. Be ready to walk through your portfolio projects.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.