Senior Product Manager, Pricing & Marketplace Intelligence AI​/ML

Senior Product Manager for Pricing & Marketplace Intelligence AI/ML

An Important Note about Wayfair's In-Office:
Please note that this is a hybrid role based in Boston, MA and will require you to work in the office on Tuesdays, Wednesdays, and Thursdays.

Global Supplier Technology (GST) builds the platforms and tools that power how suppliers do business with Wayfair and how Wayfair manages its economics hin GST, the Pricing & Marketplace Intelligence AI/ML domain is responsible for the systems that set and optimize prices, manage unit economics, incorporate demand and forecasting signals, and leverage competitive insights to deliver compelling, profitable offers to customers.

You will join a science- and ML-oriented product area that partners closely with Applied Scientists, Data Scientists, and ML Engineers to build models and decision systems that directly influence customer prices, supplier economics, and contribution profit.

As a Senior Product Manager for Pricing & Marketplace Intelligence AI/ML, you will own a product area and related work streams that use science and machine learning to optimize pricing and profitability, with a secondary focus on integrating competitor intelligence signals into commercial decisioning. You will define the strategy, roadmap, and execution plan for pricing and profit algorithms, collaborating with Engineering, Science/ML, Analytics, Finance, and commercial stakeholders to ship and iterate on products that move key business metrics.

What You'll Do

• 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 work streams, 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.

We're A Match Because You Have

• 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…