Product Manager, Experimentation Platform

Wayfair; Boston (MA); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Wayfair in Boston, MA is seeking a Product Manager to lead the Experimentation Platform squad, shaping strategy, roadmap, and outcomes for experimentation across the company. You will partner with product, engineering, data science, and business teams to reduce friction, accelerate hypothesis testing, and scale AI-driven experimentation while delivering measurable business value.

This role requires a strong track record in product management, adoption of platform capabilities, and the ability to

Qualifications

• 5+ years experience in product management.
• Proven ability to drive value and optimization for widely adopted platform products.

Responsibilities

• Lead the Experimentation Platform squad, owning strategy, roadmap, and outcomes for experimentation at Wayfair.
• Partner with product, engineering, data science, and business teams to reduce friction in the experimentation lifecycle.
• Drive a culture of rapid, rigorous experimentation by turning ideas into hypotheses, launching tests, and measuring impact.

Skills

Product Management

Adoption strategy

Analytical thinking

Stakeholder collaboration

Experimentation

Education

Bachelor's degree in Computer Science / Computer Engineering

Job description

Candidates for this position are expected to be based in Boston, MA and will need to comply with their team's hybrid work schedule requirements.

Who We Are

The Content & Client Platforms Pod is responsible for the foundational infrastructure and capabilities that every customer-facing at Wayfair team relies on to deliver innovative and exciting experiences. The Experimentation Platform Team enables all Wayfair teams to learn faster by making experimentation simple, fast, and reliable. The team owns the systems that power experimentation end-to-end, from hypothesis management and experiment configuration to traffic allocation, measurement, statistical analysis, and rollout. We are seeking a Product Manager to lead the evolution of experimentation into an AI-powered experimentation operating system, dramatically reducing the cost and complexity of testing so teams can make high quality product decisions faster, driving product-led growth through improvements to our customer experience and continuously improve the customer experience at scale.

What You’ll Do

• Lead the Experimentation Platform squad, owning the strategy, roadmap, and outcomes for experimentation at Wayfair.
• Partner closely with product, engineering, data & machine learning science, and business teams to understand how they experiment today and systematically remove friction from the experimentation lifecycle.
• Drive a culture of rapid, rigorous experimentation by making it easier for teams to turn ideas into hypotheses, launch tests, measure impact, and confidently act on results.
• Identify opportunities to expand experimentation across Wayfair that enable teams to launch experiments with less engineering effort.
• Lead the evolution toward an agentic experimentation, applying AI to hypothesis generation, variant creation, analysis, and organizational learning to dramatically increase the speed and scale of experimentation.

We Are a Match Because You Have

• 5+ years experience working in product management.
• Value Optimization at Scale. You possess the necessary product management experience to drive consistent value and optimization for widely adopted, mature platform products, ensuring they continue to scale effectively across new teams and use cases.
• Deep user empathy. You genuinely enjoy working alongside engineers, analysts, data scientists, Product Managers, and business stakeholders to understand their workflows, and diagnosing bottlenecks in their day-to-day experience.
• Proven Success in Adoption. You are skilled at evangelizing new platform capabilities and driving their successful adoption, ensuring the platform delivers maximum business value despite initial resistance.
• Sufficient Technical & Analytical Acumen. You possess enough technical and analytical depth to understand experimentation methodologies, statistical concepts, and measurement frameworks. You can effectively partner with Data Science and Analytics teams and facilitate decisions around experiment design, metrics, statistical rigor, and interpretation of results.
• Bachelor’s degree in Computer Science, Computer Engineering or equivalent combination of education and experience

Assistance For Individuals With Disabilities

Wayfair is fully committed to providing equal opportunities for all individuals, including individuals with disabilities. As part of this commitment, Wayfair will make reasonable accommodations to the known physical or mental limitations of qualified individuals with disabilities, unless doing so would impose an undue hardship on business operations. If you require a reasonable accommodation to participate in the job application or interview process, please let us know by completing our Accomodations for Applicants form.

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 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 [e-mail].