Wayfair: Head of Product Management, Attribution and Measurement

Head of Product Management, Ad Tech and Customer Intelligence

Ad Tech & Customer Intelligence (ATCI) builds products that let Wayfair communicate with new and existing customers effectively across advertising, email, and onsite touchpoints. Wayfair has a huge selection of products and offerings that make shopping for the home easy and exciting. Our goal is to use data-driven strategies to talk to the customer about the product they want, regardless of where they are or what stage of their shopping journey they are in. We are at the intersection of product, marketing, data science and technology which allows us to be a leader in the Ad Technology space.

What You'll Do

  • You will establish the vision, strategy, and roadmap for recommendations strategies across all dimensions (default & personalized, content & product, etc.)
  • Partner with key stakeholders across Data Science, Engineering, Site Merchandising, Product, Marketing, Pricing & Profitability, etc. to develop a cohesive strategy to make personalization work for a variety of customer and business problems.
  • Build and develop a product team, consisting of 10-15 PMs, while also influencing the hiring plans among engineering, analytics and data science.
  • You will deliver business impact by launching and optimizing products that improve our recommendation abilities. You will also guide and develop products towards core CLV-related metrics, along with strategic business objectives.
  • As a member of our Product leadership team, you will help us continually improve our overall department across a variety of topics: recruiting, learning & development, team culture, product development processes, external speaking/context generation, all while partnering closely with other Wayfair departments.

What You'll Need

  • 10+ years of Product Management experience, with a preference for candidates with a mix of start-up and large-company experience
  • 5+ years of experience successfully leading and growing teams that are highly effective in terms of culture and impact
  • Excellent analytical skills with demonstrated experience in hypothesis-driven learning and turning data into actionable insights
  • A deep understanding of business strategy and metrics
  • Superior communication skills with a demonstrated ability to navigate a complex organization and generate buy-in for ideas and plans
  • Strong technical chops, preferably in large volume, scalable web services
  • An entrepreneurial mindset, with a bias for action and ability to deal with extreme ambiguity and rapidly changing environments
  • Demonstrated experience with real-time data science model evaluation
  • Strong cross functional leadership experience

About Us:

Wayfair is one of the worlds 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, were 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 youre looking for rapid growth, constant learning, and dynamic challenges, then youll find that amazing career opportunities are knocking.

No matter who you are, Wayfair is a place you can call home. Were 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. Thats why were 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.

Full-time