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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.
The Director of Product Management for Recommendations & Personalization will lead the team that determines how to serve the right content at the right time to every customer through any channel or on-site placement. You will also build the technical platform that makes it fast and easy to design, launch, measure, and iterate on machine learning and personalization algorithms. Your work will touch every one of Wayfairs active customers across all our sites, apps, and marketing channels, ultimately creating an amazing shopping experiences where customers can find exactly the right products and services theyre looking for.
You will lead a growing team of product managers and associates to define and execute the product strategy and roadmap for recommendations. You will own the overarching vision for sorts and personalization, driving product prioritization, requirement creation, and execution of product development with Data Science and Engineering teams. This role is highly strategic, requiring close partnership with many internal stakeholders including data science, engineering, pricing and profitability, promotions, category management, marketing, storefront experience, and others. You will determine the right content to personalize (products, sales, offers, etc.), work across teams to find new and unique placements to optimize, and use a combination of machine learning and business insights to improve the performance of your algorithms. Your work will both help generate demand for new and strategic product categories and services and drive large conversion and profitability gains from our most in-market customers.
This role presents significant technical, analytical, and leadership opportunities with enormous potential for business impact. Successful candidates will be entrepreneurial and creative problem solvers who are able to lead and grow high-performing cross functional teams that bring their vision to reality. Theyll also be able to dive deep into the technical details of their platform while simultaneously defining and communicating front-line vision as a key leader within our organization.
What You'll Do
- You will establish the vision, strategy and roadmap for recommendations across all dimensions of Wayfair (default & personalized, content & product, etc.)
- Actively partner with key stakeholders across Data Science, Engineering, Site Merchandising, Storefront, Marketing, Pricing & Profitability, etc. to develop a cohesive strategy to make personalization work across a variety of customer and business problems
- Build and develop a product team of 10 - 15 Product Managers, while influencing the hiring plans among engineering, analytics, and data science
- Drive and deliver business impact by launching and optimizing products that improve our recommendation abilities
- You will guide and develop products towards core CLV-related metrics, along with strategic business objectives
- As a member of our Product leadership team, help us continually improve our overall department across a variety of topics: recruiting, learning & development, team culture, product development processes, relationships across all Wayfair departments and external speaking/content generation
What You'll Need
- 10+ years Product Management experience, with preference for candidates with a mix of start-up and large-company experience (and/or candidates who have started new products/initiatives within large companies).
- 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 a plus
- Strong cross functional leadership experience
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.
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