Software Engineering Manager, Data & ML Platforms, Scribe & Events Exchange

Boston, MA

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Wayfair Inc.

Shop Wayfair for A Zillion Things Home across all styles and budgets. 5,000 brands of furniture, lighting, cookware, and more. Free Shipping on most items.

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Who We Are

The MarTech, Data and Machine Learning Engineering team is responsible for building Wayfair's class leading, data centric technology platform that optimizes and powers all of Wayfair's advertising. It touches hundreds of millions of consumers and drives billions of dollars in annual revenue. Our platforms allow us to scale our marketing efforts efficiently by automating key processes, interacting with ad vendors in real time and leveraging hundreds of terabytes of data and ML algorithms for optimization and effective decision making on millions of items in our catalog. The types of systems built by this team range from low latency REST and Graph QL APIs, to streaming systems processing billions of daily events in real time to large scale batch systems.

Wayfair believes everyone should live in a home they love. Through technology and innovation, Wayfair makes it possible for shoppers to quickly and easily find exactly what they want from a selection of more than 14 million items across home furnishings, décor, home improvement, housewares, and more. Committed to delighting its customers every step of the way, Wayfair is reinventing the way people shop for their homes – from product discovery to final delivery.

The Scribe Event Exchange platform is composed of platforms aimed at empowering every Wayfair team with high-quality data. It accomplishes this through ingesting, organizing, and activating data in a scalable fashion. The platform was born out of an original mission to produce insights that would power a single view of the customer for far-reaching purposes from personalization to predicting behaviors to analytics. Today, those same tools have grown to ingest any type of data (product, customer, order, etc.) in real-time, support any type of prediction (e.g. shipping times, best email send time, class affinity), and activate that data in all the ways teams desire to consume it. This role is for an Engineering Manager focused on the Event Management Tooling team, responsible for empowering event data producers and consumers via tools for event registration, metadata management and monitoring. 

What You’ll Do

  • Lead one or more dev teams of strong, engaged engineers. Manage, mentor and coach team members at multiple career levels
  • Partner as a thought leader with your product and marketing peers to define the vision for your platform and build the roadmap for your team
  • Execute and own all aspects of software development for your team – design, development and deployment
  • Use depth and breadth of technical expertise to ensure platforms being built are scalable, maintainable and extensible
  • Demonstrate strong motivation and drive to continuously improve the effectiveness of your team and platform

What You’ll Need

  • B.A./B.S. or equivalent experience in computer science/related field
  • Experience making architectural and design-related decisions for large scale platforms, understanding the tradeoffs between time-to-market vs. flexibility.
  • Experience hiring and mentoring engineers across multiple levels
  • Experience initiating and driving complex projects to completion with minimal guidance
  • Experience building a variety of applications ranging from low latency APIs to large scale batch systems, preferably in public cloud, using cloud native services
  • Experience with Kubernetes containerization, Java,and microservices preferred 
  • Experience with streaming technologies and messaging frameworks is a big plus
  • Excellent communication skills and the ability to work effectively with engineers, product managers, and business stakeholders alike

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, or genetic information.

If you are having any difficulty submitting your application, please reach out to our careers team at careers@wayfair.com.

We are interested in retaining your data for a period of 12 months to consider you for suitable positions within Wayfair. Your personal data is processed in accordance with our Candidate Privacy Notice (which can found here: https://www.wayfair.com/careers/privacy). If you have any questions regarding our processing of your personal data, please contact us at dataprotectionofficer@wayfair.com. If you would rather not have us retain your data please contact us anytime at dataprotectionofficer@wayfair.com. 

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: APIs Computer Science Engineering Kubernetes Machine Learning Microservices Privacy Streaming

Perks/benefits: Career development Team events

Region: North America
Country: United States

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