Data Science Product Manager

An Important Note about Wayfair's In-Office Policy:

Please note that this is a hybrid role based in Boston, and will require you to work in the office on Tuesdays, Wednesdays, and Thursdays.

Who We Are

Wayfair is revolutionizing the way people shop for their homes. We’re an e-commerce retailer that’s transforming the online shopping experience, and we’re looking for passionate individuals to join our team.

What’s the right price for a product? How do we know which items will become bestsellers—or which products are misaligned with customer expectations and market benchmarks, and how do we correct them? How do we ensure we have the right amount of inventory, in the right place, at the right time?

As a Product Manager in the Pricing, Profitability, and Forecasting Algorithms team, you’ll help build and scale machine learning and economics-based products that guide Wayfair’s commercial strategy. Our portfolio spans pricing, cost prediction, competitive intelligence, demand forecasting, and new product success prediction—influencing decisioning on billions in revenue. 

These products guide high-stakes decisions across pricing, marketing, inventory planning, and supplier negotiations. You’ll work cross-functionally with engineers, data scientists, and business stakeholders to shape high-leverage products that are trusted, explainable, and impactful. This is an ideal role for analytically strong, solution-oriented PMs looking to grow their ownership and impact in a highly technical domain.

What You’ll Do

• Shape the roadmap and own delivery for ML and economics products powering pricing, inventory, or profitability decisions.
• Translate model outputs into production-grade signals used across marketing, sort, supplier negotiations, and pricing.
• Define product requirements and collaborate with science and engineering to deliver scalable solutions.
• Bridge business and technical teams to drive adoption and ensure solutions meet operational needs.
• Use data and structured analysis to break down problems, test hypotheses, and inform product decisions.
• Communicate decisions, tradeoffs, and outcomes to a broad set of stakeholders.
• Set and track success metrics to guide ongoing iteration.

We’re A Match Because You Have

• Bachelor’s degree in a quantitative or technical field (e.g., Computer Science, Economics, Statistics, Engineering).
• 3+ years of experience in product management, data science, or analytics, preferably involving machine learning/AI or large-scale data systems.
• Experience defining product requirements and collaborating with technical and business partners to deliver impactful solutions.
• Comfort breaking down ambiguous problems using data, hypotheses, and structured problem solving.
• Ability to partner with engineering and data science teams to scope, implement, and iterate on algorithmic or data-powered products.
• Ability to define KPIs and interpret experimental or observational results
• Effective at translating technical concepts and influencing cross-functional stakeholders, including non-technical audiences.

Why You’ll Love Wayfair

• Time Off:
• Paid Holidays
• Paid Time Off (PTO)
• Health & Wellness:
• Full Health Benefits (Medical, Dental, Vision, HSA/FSA)
• Life Insurance
• DIsability Protection (Short Term & Long Term DIsability) 
• Global Wellbeing: Gym/Fitness discounts (including US Peloton, Global ClassPass, and various regional gym memberships)
• Mental Health Support (Global Mental Health, Global Wayhealthy Recordings)
• Caregiver Services
• Financial Growth & Security:
• 401K Matching (Employee Matching Program)
• Tuition Reimbursement 
• Financial Health Education (Knowledge of Financial Education - KOFE)
• Tax Advantaged Accounts
• Family Support:
• Family Planning Support
• Parental Leave
• Global Surrogacy & Adoption Policy
• Professional Development & Recognition:
• Rewards & Recognition 
• Global Employee Anniversary Awards 
• Paid Volunteer Work 
• Unique Perks:
• Employee Discount 
• U.S. Bluebikes Membership
• Global Pod Outings
• Work/Life Balance:
• Emphasizing a supportive & flexible work environment that encourages a balance between personal and professional commitments 

We're looking forward to receiving your application!

About Wayfair Inc.

Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston, or in our warehouses or offices throughout the world, we’re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you’re looking for rapid growth, constant learning, and dynamic challenges, then you’ll find that amazing career opportunities are knocking.

No matter who you are, Wayfair is a place you can call home. We’re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair – and world – for all. Every voice, every perspective matters. That’s why we’re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic.

Your personal data is processed in accordance with our Candidate Privacy Notice (https://www.wayfair.com/careers/privacy). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at dataprotectionofficer@wayfair.com.