Product Manager, Personalization and Fraud

An Important Note about Wayfairs 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 $126500 - $137500 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 loveand were 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. Youll work closely with engineers data ML scientists and business stakeholders to deliver resilient data-driven systems that scale with Wayfairs global business.

What Youll Do:

• Own the Platform Vision & Roadmap: Define and drive product strategy for personalization and fraud detection platform capabilitiespowering 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.

Were A Match Because You Have:

• 24 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 principlesyou dont 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.
  
  
• Bachelors degree in Computer Science Engineering Mathematics or a related fieldor equivalent experience.

Why Youll 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!