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

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.

The salary range for this position is $126,500 - $137,500 per year. The base salary offered may vary depending on location, job-related knowledge, skills, and experience. Restricted stock units will be provided as part of the compensation package.

Who We Are:

At Wayfair, we believe everyone should live in a home they love—and we’re committed to making that possible through cutting-edge technology. Our Financing & Loyalty (FnL) Platforms team powers the backend services and machine learning capabilities that enable seamless, personalized, and secure commerce experiences for our millions of customers.

We are seeking a Product Manager to drive platform capabilities across Personalization and Fraud Detection, two high-impact domains that ensure customers see the most relevant offers while enjoying trusted and secure transactions. You’ll work closely with engineers, data + ML scientists, and business stakeholders to deliver resilient, data-driven systems that scale with Wayfair’s global business.

What You’ll Do:

• Own the Platform Vision & Roadmap: Define and drive product strategy for personalization and fraud detection platform capabilities—powering everything from user-level content tailoring to real-time risk evaluation.
• Design Scalable Data Systems: Partner with Engineering and Data Science to evolve core data pipelines, data models, and service architectures that support rules + ML-driven decisioning in real-time environments.
• Collaborate Across Functions: Align with business partners (e.g., Fraud Ops, Loyalty/Personalization teams, Data Engineering, Finance) to translate goals into technical requirements and end-to-end solutions.
• Leverage ML Principles Thoughtfully: Help operationalize model development pipelines, support inference and scoring services at scale, and prioritize features that make ML applications robust and extensible.
• Drive Data Stewardship: Ensure data quality, system observability, and auditability across all personalization and fraud data surfaces.
• Measure, Learn, Iterate: Define success metrics, monitor performance, and run structured experiments (e.g., A/B tests) in partnership with data science to validate improvements across user experience, model performance, and platform efficiency.
• Champion Extensibility and Resilience: Balance rapid feature iteration with a vision for stable, reusable platform capabilities that can support future personalization and risk models across the Wayfair ecosystem.

We're A Match Because You Have:

• 2–4 years of experience in product management, ideally within data platforms, personalization, fraud/risk, or machine learning domains.
• Familiarity with data modeling, distributed systems, and ML system design principles—you don’t need to write code, but you should be fluent discussing architectural trade-offs with engineers and scientists.
• Strong product instincts with a platform-oriented mindset; you enjoy building foundational capabilities that unlock downstream value.
• Clear, proactive communicator who can align cross-functional teams and stakeholders around shared objectives.
• Experience managing third-party integrations (e.g., fraud vendors, personalization SDKs) and/or contributing to internal ML platform development is a plus.
• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field—or equivalent experience.

Why You’ll Love Wayfair:

• Work Where Impact Meets Innovation: Shape capabilities that influence customer experience, trust, and revenue integrity at scale.
• Learning Culture: Collaborate with top-tier engineers and data scientists; gain exposure to applied machine learning, high-throughput systems, and experimentation infrastructure.

Wayfair Perks: Including PTO, 401(k) matching, health benefits, tuition reimbursement, paid parental leave, and meaningful employee discounts.

We look 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.