Senior Product Manager, Pricing & Marketplace Intelligence AI/ML

About the role

This is a hybrid role based in Boston, MA, requiring you to work in the office on Tuesdays, Wednesdays, and Thursdays.

Responsibilities

• Run discovery with stakeholders (Pricing Strategy, Category Management, Supplier Management, Promotions, Finance, etc.) and set the product vision and strategy for core pricing and profit optimization within GST.
• Translate the product vision into a sequenced roadmap across multiple workstreams, ensuring it evolves as we learn from experiments, model performance, and changing business goals.
• Partner closely with Applied Scientists and ML Engineers to design, prioritize, and launch models and decision systems that set prices, optimize contribution profit, and incorporate relevant competitor signals.
• Translate complex scientific and technical concepts into clear problem statements, product requirements, and decision frameworks that are legible to business and operations stakeholders.
• Identify, refine, and monitor KPIs and health metrics for your products to understand their impact on key business metrics (e.g., revenue, contribution profit, conversion, margin, supplier economics).
• Use Agile practices to collaborate with Engineering and Science/ML to execute on the roadmap while harnessing the power of emerging technologies.
• Ensure pricing and profit systems are observable, explainable, and trustworthy for business users by surfacing the right levers, controls, and transparency into model-driven decisions.
• Develop and monitor OKRs for key product initiatives and ensure alignment with stakeholder objectives and Wayfair’s financial goals.
• Champion a strong team dynamic by driving cross-functional collaboration, product quality, and team velocity, and by contributing to product craft and process improvements within GST.
• Communicate and promote the product vision, roadmap, and progress across Wayfair, including to senior and C-level stakeholders when appropriate.

Requirements

• 7+ years building software, platform, data, or algorithmic products with measurable impact, ideally in ambiguous or cross-functional product areas.
• Demonstrated experience owning roadmaps and outcomes for products that rely heavily on data, experimentation, or algorithms (e.g., pricing, recommendations, ads, marketplace optimization, or similar).
• Strong product ownership instincts: you can move from ambiguous problem discovery to requirements, tradeoffs, adoption, and measurable outcomes.
• Strong analytical skills and comfort working with data: you define metrics, dig into large datasets with partners, and make decisions grounded in quantitative evidence.
• Proven ability to work effectively with Data Scientists and/or Applied Scientists and ML Engineers, including shaping problem formulations, success metrics, and experimentation strategies.
• Experience making data-based conclusions and recommendations, and the ability to be hands-on in the data analysis process (e.g., partnering closely on SQL/GBQ, experimentation readouts, and modeling insights).
• A track record of focusing on customer and business problems and creating business-focused product solutions that balance customer value, profit, and operational complexity.
• Excellent communication and stakeholder management skills at the senior partner level; you can simplify complex technical concepts and influence diverse audiences.
• Experience working in a highly ambiguous and fast-paced environment and driving complex, cross-functional initiatives from inception through launch and iteration.
• Positive, people-oriented, and collaborative attitude; demonstrated success mentoring or upskilling peers or mentees, even in an IC role.
• Experience in pricing, revenue management, marketplace dynamics, ad tech, or other AI/Economics-heavy domains.
• Familiarity with experimentation methodologies (A/B testing) and statistical reasoning; comfort interpreting model and experiment results in partnership with Science/Analytics.
• Exposure to machine learning–driven products (e.g., having worked closely with ML teams on ranking, prediction, optimization, or decision systems).
• Experience in e-commerce, retail, or marketplace businesses.
• Prior experience with supplier-facing or B2B platforms is a plus.

Qualifications

• Bachelor’s degree in a technical or quantitative field (e.g., Computer Science, Engineering, Mathematics, Economics, Statistics) or equivalent practical experience.

Skills

• Experience in pricing, revenue management, marketplace dynamics, ad tech, or other AI/Economics-heavy domains.
• Familiarity with experimentation methodologies (A/B testing) and statistical reasoning; comfort interpreting model and experiment results in partnership with Science/Analytics.
• Exposure to machine learning–driven products (e.g., having worked closely with ML teams on ranking, prediction, optimization, or decision systems).
• Experience in e-commerce, retail, or marketplace businesses.
• Prior experience with supplier-facing or B2B platforms is a plus.

Benefits

Wayfair provides a comprehensive benefits package including health insurance, retirement plans, and paid time off.

Pay

The salary range for this position is $150,000 - $200,000 annually, depending on experience and location.

Schedule

This role is hybrid, requiring you to work in the office on Tuesdays, Wednesdays, and Thursdays.

Benefits

Wayfair offers a comprehensive benefits package including health insurance, retirement plans, and paid time off.