Head of Product - Data & AI

An Important Note about Wayfair's In-Office Policy and Salary: 

Please note that this is a hybrid role based in Boston, MA, and will require you to work in the office on Tuesdays, Wednesdays, and Thursdays.

The salary range for this position is $198,000 - $210,000 per year. The base salary offered may vary depending on location, job-related knowledge, skills, and experience. Restricted stock units will also be provided as part of the compensation package.

 

Head of Product, Data & AI

Who You Are: 

 

Wayfair believes everyone deserves a home they love, and that furnishing your home should be a source of fun, not anxiety. These experiences are driven by a cutting-edge set of data and machine learning, analytics, and operational systems that work in an integrated fashion to deliver a world class shopping experience for our customers. Business applications of these systems span many fields including recommendations, marketing, supply chain optimization and merchandising. These fields require a sophisticated technology stack that allows for configurability for rapid testing and exploration. 

 

We are looking for a seasoned Product leader to join our Platforms Product team to lead a team of Product Managers working on multiple facets of our Data and AI Platforms, including real-time, batch, analytics, and also Generative AI capabilities. These platforms are leveraged by nearly all our employees for operational and analytical purposes, or for powering our AI applications geared towards internal processes and our customer and supplier experiences.

 

We’re looking for someone who not only enjoys creating a bold vision, but also executing on their ideas through fruition on a global scale. In this role, you will own a range of products that will offer cloud native Data & AI capabilities to our Engineers, Analysts, and Data Scientists developing customer and supplier-focused platforms. Your goal will be to empower any team across the company with self-service software (with data or AI needs) to deploy, manage, and integrate their applications utilizing our data platforms.

 

This person will act with a high degree of freedom and ownership, setting platform vision, forming strong relationships with senior cross-functional partners (both technical and non-technical), aligning on a shared vision for success, and delivering results that create meaningful business impact. This Product leader will serve as the subject matter expert, drive adoption for new use cases, and continually improve our platform capabilities. The ideal candidate will have a strong background in product management, a deep understanding of data technologies, and a proven track record of leading and developing high-performing teams.

 

What You’ll Do:

• Product Leadership: Develop and drive the overall strategy for our Data & AI Platforms, ensuring alignment with platforms strategy, along with delivering value for your users with in market usable solutions
• AI Platforms: Set strategic direction and drive execution for Generative AI capabilities that serve a range of personas, departmental and job function needs, supporting adoption and evangelization across the organization; identify and prioritize high-value use cases, facilitate cross-functional GenAI solutions tailored to diverse personas (developers, scientists, analysts), and guide build-vs-buy decisions to maximize scalability, effectiveness, and organizational impact.
• Data Platforms: Oversee the lifecycle of data platform products, including Data Movement technologies (batch and real-time), Data Lakes, Data production and consumption patterns, quality management, enabling users to self-service these capabilities on our Google Cloud environment
• Team Management: Lead, mentor, and manage a team of Product Managers, creating an integrated strategy across your products, fostering a culture of collaboration, measurement and creating space to learn and improve.
• Stakeholder Collaboration: Work closely with cross-functional teams, including Engineering, Data Science, Analytics, and other key stakeholders to ensure our data platforms meet their needs and drive business value.
• Market Analysis: Stay abreast of industry trends and competitive landscape to inform product decisions and identify opportunities for innovation and improvement.
• Product Metrics: Define and track key performance indicators (KPIs) to measure the success of data platform products and drive continuous improvement.
• Driving adoption and value realization: Market your product internally to various departments to ensure all available users know a