Wayfair
Senior Product Manager, Search & Recommendations
Wayfair, Boston, Massachusetts, us, 02298
An Important Note about Wayfair's In-Office Policy:
Please note that this is a hybrid role based in Boston, and will require you to work in the office on Tuesdays, Wednesdays, and Thursdays.
Who We Are:
Wayfair believes everyone deserves a home they love, and that furnishing your home should be a source of fun, not anxiety. We, the Search & Recommendations team, are passionate about making it easy for customers to find exactly what they need to create their dream homes. Our technology is at the heart of this mission, and our teams play a crucial role in developing the capabilities that power a seamless experience for the millions of customers who shop on Wayfair.
As the
Senior Product Manager, Search & Recommendations
at Wayfair, you will lead a team responsible for developing core platforms and machine learning models that power our product search and recommendations engine. This critical role involves driving the strategy and execution for candidate generation and search relevance, impacting millions of customer shopping experiences daily. You will work closely with engineers, machine learning scientists, and analysts to deliver innovative solutions, such as our Semantic Search model, that enhance the discoverability of our vast product catalog and improve the relevance and accuracy of search results.
What You’ll Do :
Define product vision and strategy : Develop and champion a long-term product vision for candidate generation and search relevance, aligning it with overall company goals and customer needs.
Roadmap development and execution : Create and prioritize a product roadmap, balancing short-term wins with long-term strategic objectives. Manage the entire product lifecycle from ideation to launch and beyond.
Data analysis and interpretation : Leverage data and analytics to identify opportunities for improvement, track product performance, and measure the impact of product changes.
Collaboration and cross-functional leadership : Work closely with engineering, machine learning science, analytics, Storefront (frontend), and other teams to ensure seamless product development and execution. Influence and collaborate effectively with stakeholders across the organization.
Machine Learning model management : Work closely with data scientists to define requirements, evaluate performance, and manage the lifecycle of machine learning models that underpin the search experience.
Backend platform management : Oversee the development and maintenance of the backend platforms and services that support the on-site search experience, ensuring scalability, reliability, and performance.
Continuous learning : Continuously research and evaluate emerging technologies and trends in search and relevance to identify opportunities for innovation.
We Are a Match Because You Have :
6+ years of experience in product management, preferably with a focus on search, recommendations, and/or e-commerce capabilities.
Bachelor's degree in Computer Science, Computer Engineering, or equivalent of education and experience.
Proven experience working with machine learning models and ML science teams.
Proven experience managing backend platform development with software engineering teams.
Strong analytical and problem-solving skills, with the ability to translate complex technical concepts into clear and concise business requirements.
Excellent communication, presentation, and interpersonal skills.
Experience with A/B testing and other experimentation methodologies.
Experience working with agile development methodologies.
Why You’ll Love Wayfair:
Time Off:
Paid Holidays
Paid Time Off (PTO)
Health & Wellness:
Full Health Benefits (Medical, Dental, Vision, HSA/FSA)
Life Insurance
Disability Protection (Short Term & Long Term Disability)
Global Wellbeing: Gym/Fitness discounts (including US Peloton, Global ClassPass, and various regional gym memberships)
Mental Health Support (Global Mental Health, Global Wayhealthy Recordings)
Caregiver Services
Financial Growth & Security:
401K Matching (Employee Matching Program)
Tuition Reimbursement
Financial Health Education (Knowledge of Financial Education - KOFE)
Tax Advantaged Accounts
Family Support:
Family Planning Support
Parental Leave
Global Surrogacy & Adoption Policy
Professional Development & Recognition:
Rewards & Recognition
Global Employee Anniversary Awards
Paid Volunteer Work
Unique Perks:
Employee Discount
U.S. Bluebikes Membership
Global Pod Outings
Work/Life Balance:
Emphasizing a supportive & flexible work environment that encourages a balance between personal and professional commitments
Inclusivity at Wayfair:At Wayfair, we pride ourselves on fostering an environment where every individual experiences a fair and equitable employee journey. We are committed to developing targeted resources that raise awareness around inclusion and eliminate barriers, ensuring Wayfair provides a fair and inclusive workplace experience for everyone.
Social Impact & Responsibility:
At Wayfair, we focus on helping people on their journey to home - specifically those who have lost their way from home. We do this by leveraging our best assets, such as collaborating with leading nonprofit organizations, coordinating in-kind product donations, empowering our employees to get involved through paid volunteer time off programs, and encouraging our customers to donate. This multi-faceted approach allows us to support communities in need in authentic ways that align with Wayfair's broader mission of helping everyone, anywhere create their sense of home.
We are looking forward to your application!
About Wayfair Inc.
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.
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, genetic information, or any other legally protected characteristic.
Your personal data is processed in accordance with our Candidate Privacy Notice (https://www.wayfair.com/careers/privacy). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at dataprotectionofficer@wayfair.com.
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Please note that this is a hybrid role based in Boston, and will require you to work in the office on Tuesdays, Wednesdays, and Thursdays.
Who We Are:
Wayfair believes everyone deserves a home they love, and that furnishing your home should be a source of fun, not anxiety. We, the Search & Recommendations team, are passionate about making it easy for customers to find exactly what they need to create their dream homes. Our technology is at the heart of this mission, and our teams play a crucial role in developing the capabilities that power a seamless experience for the millions of customers who shop on Wayfair.
As the
Senior Product Manager, Search & Recommendations
at Wayfair, you will lead a team responsible for developing core platforms and machine learning models that power our product search and recommendations engine. This critical role involves driving the strategy and execution for candidate generation and search relevance, impacting millions of customer shopping experiences daily. You will work closely with engineers, machine learning scientists, and analysts to deliver innovative solutions, such as our Semantic Search model, that enhance the discoverability of our vast product catalog and improve the relevance and accuracy of search results.
What You’ll Do :
Define product vision and strategy : Develop and champion a long-term product vision for candidate generation and search relevance, aligning it with overall company goals and customer needs.
Roadmap development and execution : Create and prioritize a product roadmap, balancing short-term wins with long-term strategic objectives. Manage the entire product lifecycle from ideation to launch and beyond.
Data analysis and interpretation : Leverage data and analytics to identify opportunities for improvement, track product performance, and measure the impact of product changes.
Collaboration and cross-functional leadership : Work closely with engineering, machine learning science, analytics, Storefront (frontend), and other teams to ensure seamless product development and execution. Influence and collaborate effectively with stakeholders across the organization.
Machine Learning model management : Work closely with data scientists to define requirements, evaluate performance, and manage the lifecycle of machine learning models that underpin the search experience.
Backend platform management : Oversee the development and maintenance of the backend platforms and services that support the on-site search experience, ensuring scalability, reliability, and performance.
Continuous learning : Continuously research and evaluate emerging technologies and trends in search and relevance to identify opportunities for innovation.
We Are a Match Because You Have :
6+ years of experience in product management, preferably with a focus on search, recommendations, and/or e-commerce capabilities.
Bachelor's degree in Computer Science, Computer Engineering, or equivalent of education and experience.
Proven experience working with machine learning models and ML science teams.
Proven experience managing backend platform development with software engineering teams.
Strong analytical and problem-solving skills, with the ability to translate complex technical concepts into clear and concise business requirements.
Excellent communication, presentation, and interpersonal skills.
Experience with A/B testing and other experimentation methodologies.
Experience working with agile development methodologies.
Why You’ll Love Wayfair:
Time Off:
Paid Holidays
Paid Time Off (PTO)
Health & Wellness:
Full Health Benefits (Medical, Dental, Vision, HSA/FSA)
Life Insurance
Disability Protection (Short Term & Long Term Disability)
Global Wellbeing: Gym/Fitness discounts (including US Peloton, Global ClassPass, and various regional gym memberships)
Mental Health Support (Global Mental Health, Global Wayhealthy Recordings)
Caregiver Services
Financial Growth & Security:
401K Matching (Employee Matching Program)
Tuition Reimbursement
Financial Health Education (Knowledge of Financial Education - KOFE)
Tax Advantaged Accounts
Family Support:
Family Planning Support
Parental Leave
Global Surrogacy & Adoption Policy
Professional Development & Recognition:
Rewards & Recognition
Global Employee Anniversary Awards
Paid Volunteer Work
Unique Perks:
Employee Discount
U.S. Bluebikes Membership
Global Pod Outings
Work/Life Balance:
Emphasizing a supportive & flexible work environment that encourages a balance between personal and professional commitments
Inclusivity at Wayfair:At Wayfair, we pride ourselves on fostering an environment where every individual experiences a fair and equitable employee journey. We are committed to developing targeted resources that raise awareness around inclusion and eliminate barriers, ensuring Wayfair provides a fair and inclusive workplace experience for everyone.
Social Impact & Responsibility:
At Wayfair, we focus on helping people on their journey to home - specifically those who have lost their way from home. We do this by leveraging our best assets, such as collaborating with leading nonprofit organizations, coordinating in-kind product donations, empowering our employees to get involved through paid volunteer time off programs, and encouraging our customers to donate. This multi-faceted approach allows us to support communities in need in authentic ways that align with Wayfair's broader mission of helping everyone, anywhere create their sense of home.
We are looking forward to your application!
About Wayfair Inc.
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.
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, genetic information, or any other legally protected characteristic.
Your personal data is processed in accordance with our Candidate Privacy Notice (https://www.wayfair.com/careers/privacy). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at dataprotectionofficer@wayfair.com.
#J-18808-Ljbffr