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Wayfair Senior Technical Product Manager- Algorithms & Analytics in Boston, Massachusetts

<p><span style="font-weight: 400;">The Marketplace team was recently formed within the Algorithms and Analytics org with the charter to build data science products to power Wayfair’s growth as a technology driven e-commerce platform. Our machine learning powered products coach our suppliers to deliver win-win outcomes for Wayfair’s suppliers and customers.</span></p>

<p><span style="font-weight: 400;">Our team consists of product managers, data scientists &amp; machine learning engineers who work collaboratively to build customer and supplier-facing products. We are looking for a product manager who is excited by the prospect of working cross functionally across all these disciplines and business teams to build products that put the customer first and deliver impact at scale.</span></p>

<p>Who We Are:</p>

<ul>

<li style="font-weight: 400;"><span style="font-weight: 400;">Value respect, inclusion, collaboration, integrity, and grit.</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Work backwards from customer needs and focus on long term wins for Customers, Suppliers, and Wayfair.&nbsp;</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Provide and seek feedback. We care personally about the team and challenge directly to ensure we always raise each others’ standards.</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Stay nimble by simplifying solutions to quickly iterate upon.</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Seek different perspectives to make better decisions.</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Embrace people for who they are, what they are interested in, and their unique strengths no matter their background.</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Accomplish a large amount of high impact work.</span></li>

</ul>

<p><span style="font-weight: 400;">What You'll Do:</span></p>

<ul>

<li style="font-weight: 400;"><span style="font-weight: 400;">Establish the product vision, strategy and roadmap for our data science powered applications</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Translate high-level business requirements into detailed technical deliverables, and manage projects to completion by working with your Data Science &amp; Engineering teams.</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Lead an Agile team of engineers and scientists and continually improve processes to build best-in-class teams and data science platforms in the industry.&nbsp;</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Partner with key stakeholders including Pricing &amp; Profitability, Supply Chain, Promotions, and Category Management to develop a cohesive strategy for a variety of high impact business problems.</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Act as subject-matter expert on all data science systems and technologies to non-technical stakeholders.</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">As a member of our Product leadership team, you will help us continually improve our overall department across a variety of topics: recruiting, learning &amp; development, team culture, product development processes, external speaking/context generation.</span></li>

</ul>

<p><span style="font-weight: 400;">What You'll Need:</span></p>

<p><strong>What You’ll Need</strong></p>

<ul>

<li style="font-weight: 400;"><span style="font-weight: 400;">5+ years of Product Management experience ideally with Data Science powered products.</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Experience working with machine learning data scientists and managing agile sprints for a team of engineers.</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Demonstrated experience with data science processes including ETL, modeling, evaluation, deployment &amp; monitoring/supporting at scale</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Experience working with large data sets and building &amp; deploying SaaS applications in a public cloud environment (GCP, Azure etc)</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Strong written and verbal communication and a demonstrated ability to influence without authority. Demonstrated ability to generate consensus within internal teams and senior management.</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">An entrepreneurial mindset, with a bias for action and ability to deal with extreme ambiguity and rapidly changing environments.</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">BA/BS degree in Computer Science, Engineering, Economics, Mathematics or a related quantitative or technical field, or equivalent practical experience.&nbsp;</span></li>

<li style="font-weight: 400;"><span style="font-weight: 400;">Advanced degree such as an MS/PhD or MBA preferred but not required.&nbsp;</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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