Head of Product, Recommendations Platform

Boston, MA

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Wayfair Inc.
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Posted 1 week ago

Wayfair’s Recommendations team provides the core platforms and services that allow our customers to discover and buy the products they love by serving the right content to every customer on every touchpoint. Our systems leverage Wayfair’s extensive customer and product data to deliver trusted and valuable recommendations and results in real time using custom machine learning models. Our mission-critical services are called over a billion times a day.  Recommendations is a core competency for Wayfair and a high priority lever we’re using to drive outsized growth, customer value, and profitability.

What You'll Do

  • Drive concrete business value by helping us build a world class recommendations platform
  • Accelerate development, scale recommendations to new placements, channels, and markets, and enable internal users to build new experiences
  • Own the product vision, strategy, and roadmap of the key platforms and systems supporting the development, deployment, testing and evaluation of our recommendation strategies
  • Manage products through their full lifecycle
  • Work closely with a cross-functional team of engineers, data scientists, analysts, other product teams, and executive leadership
  • Work with a broad set of stakeholders across Wayfair, driving alignment and keeping them informed of plans and progress

What You’ll Need

  •  8+ years of product experience in the digital space, preferably ML, ecommerce or recommender systems
  • Strong written and verbal communication and a demonstrated ability to explain technical concepts to non-technical audiences
  • Demonstrable ability to be technically hands-on, up to architecting high-level system plans (no coding)
  • Proven SQL knowledge – can use SQL to pull ad hoc data when necessary
  • Understanding of Data Science and Machine Learning fields on a high level 
  • Drive to deliver amazing products and features on or before schedule
  • Ability to work across several stakeholder groups and juggle many large initiatives simultaneously
  • Ability to structure problems, develop clear hypotheses, and prioritize work against the largest impact initiatives
  • Experience working with a large engineering team, running their sprints, stand-ups, and backlog
  • Familiarity with ML and big data technologies

About Us

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.

Job tags: Engineering SQL
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