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Wayfair Associate Director, Machine Learning Product Manager in Boston, Massachusetts

<p><span style="text-decoration: underline;"><strong>Who We Are</strong></span></p>

<p><span style="font-weight: 400;">Wayfair’s Machine Learning team builds algorithmic systems that </span><span style="font-weight: 400;">enhance our customer experience, improve customer loyalty, and ultimately drive our bottom line</span><span style="font-weight: 400;">. The Machine Learning &amp; Algorithmic Marketing team at Wayfair develops ML models and reinforcement learning systems to power algorithmic decision-making across key marketing channels, including Paid Search, Display, Social Media, Direct Mail, Online Video and more.&nbsp;</span></p>

<p><span style="font-weight: 400;">As the Product Leader for our portfolio of customer-centric ML products, you will work closely with key internal and external stakeholders to ensure there is strong alignment between Wayfair’s business objectives and our ML solutions. You’ll quarterback the roadmap, planning, and delivery of key machine learning capabilities focused on digital advertising and paid media at large. You’ll lead the charge by rallying a team of highly skilled data scientists, ML engineers, analysts, and fellow product managers as we build scalable algorithmic systems responsible for optimizing millions of customer-level decisions: Who do we target? On what channels? How frequently? How much do we bid? What type of ad do we show? Which creative asset? Etc.</span></p>

<p><span style="font-weight: 400;">TLDR; If you are a technology enthusiast and working at the intersection of machine learning, ad-tech/mar-tech, and eCommerce sounds appealing to you, you should consider applying. You might be on a vendor call with Facebook in the morning, a discussion with our ML scientists on reinforcement learning in the afternoon, and meeting with our infrastructure team later in the day.&nbsp;</span></p>

<p><span style="text-decoration: underline;"><strong>What You’ll Do</strong></span></p>

<ul>

<li style="font-weight: 400;"><span style="font-weight: 400;">Responsible for the roadmap, planning, and delivery of machine learning solutions from conception to prototyping, testing, deploying, and measuring its overall business value</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Interface with Marketing, Ad Tech, and other Engineering and Product teams to drive the integration of our algorithmic solutions into existing production systems</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Lead the ideation, opportunity sizing, planning, and integration of machine learning models into various inbound/outbound marketing channels and storefront placements</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Serve as the single point of contact for your portfolio of ML products and triage new stakeholders requests and understanding where/how this fits into our longer term roadmap</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Develop and own communication strategy for both technical and business stakeholders (including OKR tracking, sprint planning, executive documentation, and biweekly updates)</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Drive the integration of our algorithmic solutions into existing production system</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Collaborate with product leads across Wayfair Ad-Tech, Storefront, Infrastructure, and peer ML teams to ensure we’re building the right capabilities in the right place</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Communicate and evangelize the product vision and progress for broad portfolio of 10+ ML products throughout Wayfair, including VP/C-level executives</span></li>

</ul>

<p><span style="text-decoration: underline;"><strong>What You’ll Need</strong></span></p>

<ul>

<li style="font-weight: 400;"><span style="font-weight: 400;">An obsession with the customer and ability to empathize; a natural bias towards taking a customer-centric lens in how we frame, approach, and ultimately solve every problem the team works on</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">8+ years of product management experience ideally in the with data science, machine learning, or other analytical products</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Understanding of machine-learning model lifecycle; training, evaluation, serving</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">A technology enthusiast with a curious mind; you value continuous learning and enjoy staying up to date on the latest in data science, big data, marketing, advertising, etc.&nbsp;</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Sufficient technical literacy to both understand business needs and the underpinnings of our product vision as well as effectively communicate with engineers and data scientists.</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Solid SQL/ data wrangling skills, ability to create data stories and reports with visualization tools such as Looker, and experience calling APIs using Python or other languages</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Most importantly, a positive can-do attitude and “no excuses” mentality that pushes through issues with creative solutions and tenac</span></li>

</ul><div class="content-conclusion"><p><strong>About Wayfair Inc.</strong></p>

<p>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.</p>

<p>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.</p></div>

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