Senior Product Manager

Who We Are:

At Wayfair, we're working to make shopping more personal, relevant, and easier for millions of customers.

Customer Understanding

Product, AI/ML, and customer experience

Learn more about our technology teams on the Wayfair Tech Blog .

What You'll Do:

• Think big and work backwards from the customer

  : Imagine what a great shopping experience could look like, identify gaps in how we understand customers, and define what we need to build.

• Shape strategy, not just a roadmap:

  Challenge assumptions, solve ambiguous problems, and build a clear point of view on where to invest and why.

• Work at the cutting edge of AI/ML and data

  : Partner with ML, Data Science, Data Engineering, and Platform teams to build scalable products, balancing model quality, performance, reliability, and cost.

• Connect technology to customer impact

  : Work with Search, Recommendations, and other teams to turn customer intelligence into better shopping experiences, and validate the impact with experiments.

• See the bigger picture:

  Connect opportunities across teams, customer journeys, and businesses. Bring fresh thinking from industry trends and advances in AI.

• Navigate complexity and drive progress:

  Work across distributed teams with different priorities, build alignment, make trade-offs, and move things forward without waiting for perfect clarity.

• Own outcomes, not just delivery:

  Take products from discovery to launch and adoption, measure real impact, and adapt based on what you learn.

What You'll Need:

• 9+ years of product management experience

  , with a track record of owning complex products and delivering measurable customer or business impact.
• Strong product thinking, with the ability to break down ambiguous problems, identify opportunities, and build a clear strategy.
• Experience working with Engineering, Data Science, or ML teams on data-driven, platform, or algorithmic products.
• Strong analytical skills and experience using customer insights, data, and experimentation to guide decisions.
• Ability to understand technical concepts and trade-offs, while staying focused on customer problems and business outcomes.
• Strong communication and collaboration skills, especially when working across multiple teams and stakeholders.

It's a Plus If You Have

• Experience in e-commerce, personalization, search, recommendations, or customer data products.
• Familiarity with customer embeddings, intent modeling, recommender systems, or cold-start personalization.
• Experience building ML-powered products or reusable data and intelligence platforms.