Wayfair is looking for a senior product leader to join our industry-leading personalization platform and product recommendations engine that aims to maximize Customer Lifetime Value using the wealth of data we have about our customers and their preferences in style, budgets and needs. Wayfair’s Personalization team provides the core platforms and services that allow our customers to discover and buy the products they love by serving the right items 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

• Work with a true cross functional team of engineers, data scientists, and analysts to build, test, and deploy state of the art ML models using a large and growing dataset of customer data.
• Collaborate with stakeholders across Wayfair to identify opportunities and deliver meaningful customer and business outcomes.
• Build and own an extensive product roadmap. Manage products across the full product development lifecycle.
• Identify, develop, and deliver core product recommendation capabilities.
• Be the primary product manager for one or more engineering teams.
• Foster and informally lead a true cross-functional team of engineers, data scientists, and analysts.
• Leverage data to understand risks, impacts, scope and priorities of our business objectives, and enable the team to drive results 
• Drive and enable world-class personalized customer experience for all things home

What You'll Need

• 10+ years of product experience with a history of delivering successful products across the full product lifecycle.
• Experience building, prioritizing and communicating a roadmap and product backlog.
• Experience working in an agile engineering environment.
• Familiarity with ML and experience working with data scientists.
• Excellent analytical skills with demonstrated experience with hypothesis-driven problem solving and turning data into actionable insights.
• Experience using data to guide decision-making and to validate changes.
• Proven ability to make data driven decisions and a familiarity with A/B testing.
• Proven ability to manage and communicate to a diverse set of stakeholders. You will need to manage competing priorities and requests. You will need to be able to explain complex concepts to non-technical audiences and have strong written and verbal communication skills
• A history of owning, developing, and communicating long-term vision and goals that drive strategies for a portfolio of products
• Working in a culture of experimentation, learning, and innovation in order to solve user needs within the domain
• A track record of building high-impact products demonstrating measurable business impact
• Entrepreneurial mindset, with a bias for action and ability to deal with extreme ambiguity and rapidly changing environments.
• Experience in ecommerce and/or in personalization domain