Wayfair

About The Role Guide the roadmap for offsite retail media, scaling existing channels (including offsite search, social, and affiliate networks) while evaluating new ad formats and platform integrations.Own relationships with key external media and ad tech partners (e.g., Meta, Google, Levanta, and emerging channels like Pinterest), driving joint initiatives, beta testing opportunities, and platform updates.Define product packaging, entry points, and commercial models (standalone vs. bundled) to drive supplier adoption and revenue.Create high-impact sales collateral, pitch decks, and playbooks. Whether you work in our global headquarters in Boston, 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. 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.

We are seeking an experienced Machine Learning Manager to lead a growing team focused on building intelligent, ML-powered systems that drive personalized recommendations and campaign automation within Wayfair’s advertising platform. Lead the next phase of GenAI-powered creative optimization, ML-based recommendation systems, agentic chat-based interfaces and campaign automation to drive significant incremental ad revenue and improve supplier outcomes.Build, coach, and manage a team of ML scientists focused on developing intelligent budget, tROAS, and SKU recommendations, creative testing frameworks, and simulation-driven decisioning that extends beyond the current platform capabilities.Partner cross-functionally with Product, Engineering, and Sales to deliver scalable ML solutions that improve supplier campaign performance. Experience with GCP, Airflow, and containerization (Docker)Experience building scalable data processing pipelines with big data tools such as Hadoop, Hive, SQL, Spark, etc.Familiarity with Generative AI and agentic workflowsExperience in Bayesian Learning, Multi-armed Bandits, or Reinforcement Learning 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. 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.

We are looking for an experienced ML manager to lead a team focused on building intelligent ML-based bidding systems (e.g. tROAS, dynamic bidding, smart campaigns) for Wayfair’s sponsored products advertising business. for Wayfair’s advertising platform.Hire, develop, and coach a talented team of ML scientists to build scalable ML decisioning systems that directly contribute to Wayfair’s bottom-line.Partner closely with cross-functional partners across engineering, science, analytics and product to develop science strategy and roadmap for Supplier Ads bidding systems.Design, build, deploy and refine extensible, reusable, large-scale, and real-world platforms that improve supplier experience, ROAS, and spend on Wayfair’s Sponsored Products.Build robust monitoring, alerting, and edge-case handling mechanisms.Collaborate closely across multiple science and engineering teams to drive robust integration of our smart bidding platform with the existing infrastructure & systems.Research new developments in advertising, sort and recommendations research and open-source packages, and incorporate them into our internal packages and systems. 6+ years of experience (ideally with 2+ YOE as lead/manager) building advanced machine learning models that solve real-world problems.Strong theoretical grasp of machine learning concepts combined with hands-on expertise deploying web-scale ML-based decision-making systems into production.Hands-on and technical manager who can engage deeply with both core algorithm development and system design & architecture.Experience with data-driven opportunity sizing & prioritization and bias towards building things iteratively (and learning as we go).You are comfortable making complex decisions (even when faced with ambiguity), making pragmatic tradeoffs, and using goal-setting frameworks (e.g. OKRs).You have a track record of coaching and mentoring junior ML scientists and engineers -- ranging from fresh PhD graduates to experienced ML scientists.Experience working with commercial stakeholders to translate business objectives to appropriately-scoped ML model/system and ensuring commercial and ML objectives remain tightly aligned.Strong written & verbal communication skills and ability to influence senior-level stakeholders and steer overall strategy based on data-driven recommendations and analysis.Familiarity with ML model development frameworks, ML orchestration and pipelines with experience in either Airflow, Kubeflow or MLFlow as well as Spark, Kubernetes, Docker, Python, and SQL. 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. 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.

We are looking for an experienced ML manager to lead a team focused on building intelligent ML-based bidding systems (e.g. tROAS, dynamic bidding, smart campaigns) for Wayfair’s sponsored products advertising business. Who You Are: About Wayfair Inc. Wayfair is one of the world’s largest online destinations for the home. 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. 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.

We’re looking for candidates who have “a nose for the money” with strong commercial instincts, an ability to tell a compelling ROI story, and the tenacity to build a book of business from the ground up. • Strong analytical and data visualization skills. • Familiarity with e-commerce and the digital advertising ecosystem is a plus with a focus on retail media networks • Media Sales or brand advertising sales experience is preferred 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. 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.