Product Manager, Personalization and Fraud

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!