Software Engineer, Pricing Algorithms and Comp Intel

The Pricing and Profitability team sits at the intersection of business strategy, data science, and engineering. We build and operate sophisticated systems that power Wayfair's core pricing strategy, driving sustainable growth and profitability across our global catalog. This team develops high-scale systems that power millions of pricing decisions daily. By integrating machine learning models into production systems, we optimize revenue, margin, and customer value while maintaining a seamless shopping experience.

What You'll Do

• Design, build, and deploy scalable backend services and APIs to serve real-time ML predictions (e.g., price elasticity, demand forecasting, margin optimization)
• Develop and maintain production-grade data and ML pipelines using modern orchestration tools in a cloud environment
• Collaborate across teams to evolve microservices architecture, ensuring systems are efficient, reliable, and horizontally scalable
• Partner closely with ML Scientists and Data Scientists to translate models into production-ready systems and ensure smooth handoffs from research to engineering
• Implement monitoring, alerting, and logging systems to track model performance, system health, and key business metrics (e.g., margin, conversion)
• Write clean, well-tested, and maintainable code, and actively participate in code reviews
• Explore and drive adoption of new technologies, including Generative AI tools, to improve development, testing, and system analysis practices

• Experience: 10+ years of software development experience, ideally building large-scale distributed systems or data pipelines
• Programming: Strong proficiency in Python, including building and debugging production systems
• Cloud: Experience operating services and pipelines in cloud environments (Google Cloud Platform, AWS, or Azure)
• Data & Orchestration (Preferred): Experience with data warehousing (e.g., BigQuery) and orchestration tools (e.g., Airflow / Cloud Composer)
• ML Ecosystem: Familiarity with machine learning concepts and tools (e.g., Pandas, scikit-learn, TensorFlow)
• Systems Design: Experience with microservices, REST APIs, and distributed systems concepts
• Databases: Proficiency in both relational (SQL) and NoSQL databases
• Education: Bachelor's degree in Computer Science, Engineering, or equivalent experience

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

Wayfair believes everyone should live in a home they love. Through technology and innovation, we make it possible for shoppers to quickly and easily find exactly what they want from a selection of more than 14 million items., 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.