Candidates for this position are preferred to be based in Bangalore, India and will be expected to comply with their team's hybrid work schedule requirements.

Who We Are:

Wayfair runs the largest custom e-commerce large parcel network in the United States, approximately 1.6 million square meters of logistics space. The nature of the network is inherently a highly variable ecosystem that requires flexible, reliable, and resilient systems to operate efficiently.We are looking for a passionate Backend Software Engineer to join the Fulfillment Optimization team. This team builds the platforms that determine how customer orders are fulfilled, optimizing for Wayfair profitability and customer delight. A big part of our work revolves around enhancing and scaling customer-facing platforms that provide fulfillment information on our websites, starting at the top of the customer funnel on the search pages all the way through orders being delivered. Throughout this customer journey, we are responsible for maintaining an accurate representation of our dynamic supply chain, determining how different products will fit into boxes, predicting how these boxes will flow through warehouses and trucks, and ultimately surfacing the information our customers need to inform their decision and the details our suppliers and carriers require to successfully execute on the promises made to our customers. We do all of this in milliseconds, thousands of times per second.

What You’ll Do:

• Be the Customer Data Platform expert - learn the product inside and out, be able to answer almost any question about audience segments
• Work closely with a team of engineers and data scientists to build best in class audience products.
• Engage with business stakeholders and analysts to ensure that the data products you’re creating are organized, accessible, and easy to activate in multiple marketing use cases.
• Working with large and complex SQL, Hive, GBQ databases.
• Manage and continually improve the company’s audience platform , improving how we segment our customers and improve overall targeting. 
• Prioritize many requests and ideas for features or dataset integrations by understanding the business value and impact, weighed against the risk and development time
• Maintain a product vision and roadmap, keeping stakeholders and constituents up to date on the top level goals and timelines.
• Market your product internally to various departments to ensure all available users know about your product and how they get value from it
• Translate business initiatives into engineering stories/tickets and maintain a prioritized backlog
• Deeply understand the technology used in your products, the strong and weak points, and become an expert at what is available in the market
• Regularly communicate our quarterly/ monthly goals and progress to keep business stakeholders apprised of your work and product progress
• Provide regular training and communications on the product to various audiences.

We Are a Match Because You Have:

• 5+ years of progressively complex experience in some combination of Product Management, Data Analysis, Data Engineering, and/or Data Science Product Management experience, with a focus on delivering products and improvement iterations 
• Proven analytical/quantitative analysis skills, including SQL and Looker/Sheets type tools, especially when working with web-based (big) data. 
• Strong written and verbal communication and a demonstrated ability to explain technical concepts to non-technical audiences
• Ability to structure problems, develop clear hypotheses, and prioritize work against the largest impact initiatives
• Obsessive attention to detail that makes your product stand out to users
• Cultivate senior presence and be the leader of your product
• Positive, people-oriented and energetic

• Experience in the digital advertising and/or marketing technology space
• Prior experience building a DMP or related experience with integrating with CDPs, building user profiles, data modeling, audience building, segmentation etc.
• Familiarity with big data technologies: Hive, spark, storm, kafka, tensorflow, etc.

SQL skills or Statistical analysis, whether informal or formal, is a plus.

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 Berlin, 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.