The Role
Leads a team developing and deploying production AI systems for Spark Driver pricing and incentives. Oversees machine learning, reinforcement learning, optimization, experimentation, deployment, monitoring, and continuous improvement. Partners with Business, Product, and Engineering to define strategy, architect scalable systems, and deliver measurable marketplace impact. Provides technical direction, establishes engineering and MLOps best practices, mentors data scientists and machine learning engineers, and drives reliable production AI solutions.
Summary Generated by Built In
Position Summary...What you'll do...Role summary:
The Senior Manager, Applied AI – Spark Pricing & Incentives leads the development and deployment of AI-powered production systems that optimize Spark driver pricing and incentives for Walmart's Last Mile Delivery platform. The role drives the end-to-end lifecycle of machine learning and optimization solutions, from design and experimentation to production deployment and continuous improvement. Partnering with Business, Product, and Engineering, the Senior Manager translates business needs into scalable AI systems that deliver measurable impact. The role also provides technical leadership, mentors data scientists and machine learning engineers, and establishes best practices for building reliable, production-grade AI solutions.
About the team:
The Applied AI Last Mile Delivery team develops advanced machine learning, reinforcement learning, optimization, and decision intelligence solutions that power Walmart's Spark Driver platform. The team builds scalable, production-grade AI systems for Capacity Planning, Routing, Driver Search, Matching, Pricing, Incentives, ETA prediction, and Trust Safety, improving marketplace efficiency, customer experience, and operational performance. Working closely with Business, Product, and Engineering, the team translates complex business problems into AI-driven solutions that drive innovation across Walmart's largest last-mile delivery platform.
What you'll do:
What you'll bring:
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
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
The Senior Manager, Applied AI – Spark Pricing & Incentives leads the development and deployment of AI-powered production systems that optimize Spark driver pricing and incentives for Walmart's Last Mile Delivery platform. The role drives the end-to-end lifecycle of machine learning and optimization solutions, from design and experimentation to production deployment and continuous improvement. Partnering with Business, Product, and Engineering, the Senior Manager translates business needs into scalable AI systems that deliver measurable impact. The role also provides technical leadership, mentors data scientists and machine learning engineers, and establishes best practices for building reliable, production-grade AI solutions.
About the team:
The Applied AI Last Mile Delivery team develops advanced machine learning, reinforcement learning, optimization, and decision intelligence solutions that power Walmart's Spark Driver platform. The team builds scalable, production-grade AI systems for Capacity Planning, Routing, Driver Search, Matching, Pricing, Incentives, ETA prediction, and Trust Safety, improving marketplace efficiency, customer experience, and operational performance. Working closely with Business, Product, and Engineering, the team translates complex business problems into AI-driven solutions that drive innovation across Walmart's largest last-mile delivery platform.
What you'll do:
- Lead a team of data scientists and machine learning engineers to build and deploy AI-powered Pricing and Incentive solutions for the Spark Driver platform.
- Partner with Business, Product, and Engineering to define strategy and deliver scalable, production-ready AI systems.
- Drive the end-to-end AI lifecycle, from problem formulation and experimentation to deployment, monitoring, and optimization.
- Develop machine learning, reinforcement learning, and optimization solutions to improve marketplace performance.
- Establish technical direction, architecture, and engineering best practices to ensure reliable, scalable, and maintainable AI systems.
- Mentor and grow a high-performing Applied AI team while delivering measurable business impact through data-driven innovation.
What you'll bring:
- Master's or Ph.D. in Computer Science, Statistics, Operations Research, Mathematics, Economics, or a related quantitative field.
- 8+ years of experience building and deploying production AI solutions, including 3+ years of technical leadership or people management.
- Expertise in machine learning, reinforcement learning, optimization, experimentation, and large-scale AI systems.
- Proven ability to partner with Business, Product, and Engineering to deliver measurable impact.
- Strong software engineering fundamentals, including Python, distributed computing, cloud platforms, and MLOps best practices.
- Excellent leadership, communication, and stakeholder management skills, with a passion for mentoring teams and solving complex business problems through AI.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
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: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 years' experience in an analytics or related field.Preferred Qualifications...Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch), 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.Primary Location...1375 Crossman Ave, Sunnyvale, CA 94089-1114, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.Skills Required
- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field and 5 years of analytics-related experience
- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field and 3 years of analytics-related experience
- 7 years of experience in an analytics or related field
- Master's or Ph.D. in Computer Science, Statistics, Operations Research, Mathematics, Economics, or a related quantitative field
- 8+ years of experience building and deploying production AI solutions
- 3+ years of technical leadership or people management experience
- Expertise in machine learning, reinforcement learning, optimization, experimentation, and large-scale AI systems
- Experience partnering with Business, Product, and Engineering to deliver measurable impact
- Strong software engineering fundamentals, including Python, distributed computing, cloud platforms, and MLOps
- Leadership, communication, stakeholder management, and team mentoring skills
- Data science, machine learning, and optimization model experience
- Successful completion of one or more assessments in Python, Spark, Scala, or R
- Supervisory experience
- Experience using open-source frameworks such as scikit-learn, TensorFlow, or PyTorch
Walmart Global Tech Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Walmart Global Tech and has not been reviewed or approved by Walmart Global Tech.
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Strong & Reliable Incentives — Compensation packages typically include base pay, performance bonuses, and stock awards, with access to an employee stock purchase plan. Feedback suggests annual bonus structures and stock grants are a consistent part of total compensation in many roles.
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Retirement Support — Retirement offerings include a company 401(k) match and stock purchase options that support long‑term savings. Feedback suggests these programs are a notable strength within the overall package.
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Parental & Family Support — Family benefits feature paid parental leave and adoption assistance, alongside tax‑advantaged accounts for healthcare spending. Feedback suggests these supports contribute meaningfully to perceived total rewards value.
Walmart Global Tech Insights
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The Company
What We Do
Walmart has a long history of transforming retail and using technology to deliver innovations that improve how the world shops and empower our 2.2 million associates. It began with Sam Walton and continues today with Global Tech associates working together to power Walmart and lead the next retail disruption. We’re a high-performing, primarily virtual workforce that is human-led and tech-empowered. Our world-class software engineers, data scientists and engineers, cybersecurity professionals, product managers and business service professionals work with top talent on cutting-edge technologies that create unique and innovative experiences for our associates, customers and members across Walmart, Sam’s Club and Walmart International. At Walmart Global Tech, one line of code or bold idea can make life easier for hundreds of millions of people – talk about epic impact at a global scale.
