Associate Director, Product Management

Associate Director, Product Management – Pricing Data Science & AI

Our Opportunity

Chewy is hiring an Associate Director, Product Management – Pricing Data Science & AI, to help shape and scale advanced pricing capabilities across Chewy. This is an individual contributor role reporting to the Director of Pricing.

The Pricing team sits within Chewy's Retail organization and is responsible for building pricing capabilities that help deliver competitive value for customers while supporting sustainable business growth. In this role, you will own the product roadmap for Pricing Data Science, Machine Learning, and AI-enabled pricing capabilities, partnering closely with Data Science, Data Engineering, Analytics, Product/Technology, Merchandising, and Pricing teams to translate complex pricing and business opportunities into scalable products, decision-support tools, and operating mechanisms.

Success in this role will be measured by the candidate's ability to deliver a clear, prioritized roadmap; improve adoption of pricing tools and insights; accelerate decision-making for business partners; and help scale pricing capabilities that improve customer, operational, and financial outcomes. While deep subject matter expertise in every pricing, ML, or AI domain is not required, the ability to partner effectively with research scientists, data scientists, ML engineers, and business stakeholders is critical.

The ideal candidate is a strong product leader with a customer-first mindset, deep analytical judgment, technical fluency, and the ability to simplify complex pricing, ML, and AI concepts for both business and technical audiences.

What You'll Do

• Own and evolve the Pricing Data Science and AI product roadmap, including annual and quarterly planning, prioritization, and roadmap reviews.
• Translate pricing strategy, customer needs, and business opportunities into clear product requirements, success measures, milestones, and delivery plans.
• Partner with Data Science, ML and Data Engineering, Analytics, Product/Technology, Merchandising, and Pricing teams to develop and scale pricing capabilities.
• Lead product planning for capabilities such as pricing optimization, competitive matching, price elasticity forecasting, decision support, and GenAI-enabled workflows.
• Drive adoption of AI-enabled pricing tools, automated insights, self-service analytics, and leadership-ready business narratives.
• Define prioritization frameworks that balance customer impact, business value, technical feasibility, operational complexity, and stakeholder needs.
• Develop clear roadmap updates and product narratives for MBRs, roadmap reviews, OP1 planning, and leadership forums with established success metrics and feedback loops.
• Create or guide enablement materials, documentation, and training plans to help teams use pricing tools, data science outputs, and AI-enabled workflows effectively.

What You'll Need

• 6+ years of experience in product management, technical product management, or product-adjacent roles working with analytical, data-driven, technical, retail, e-commerce, pricing, or business operations teams.
• 3+ years of experience partnering with data science, machine learning, AI, analytics, pricing, or technically complex data product teams.
• Experience owning or leading product roadmaps for complex, cross-functional products, platforms, tools, or capabilities.
• Strong business acumen with the ability to connect pricing, customer experience, profitability, operational execution, and technical feasibility.
• Ability to translate ambiguous business problems into clear product requirements, prioritization decisions, delivery plans, and measurable outcomes.
• Excellent communication and stakeholder management skills, including the ability to simplify complex technical concepts and influence across business and technical teams.

Preferred Qualifications

• Experience with pricing, revenue management, competitive intelligence, promotion, demand elasticity, or optimization products.
• Experience with GenAI, LLMs, AI agents, knowledge management tools, or AI-enabled analytics workflows.
• Experience with experimentation, A/B testing, causal inference, measurement design, or model evaluation.
• Experience with SQL, Python, Tableau, AWS, Spark, Hadoop, or similar analytics/data tools.
• MBA, Master's degree, advanced degree, or equivalent experience in Business, Computer Science, Data Science, Statistics, Economics, Engineering, Mathematics, or a related field.

The base salary range for this role is $166,000 - $265,000.00.

• The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate's relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus.

We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com.

Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.

Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact View email address on click.appcast.io.