Product Manager, Advertiser Supplier

In‑Office Policy

This is a hybrid role based in Toronto, Canada and will require you to work in the office on Tuesdays, Wednesdays, and Thursdays.

• Partner strategically with business, machine learning / applied science, and core engineering teams to identify and capitalize on opportunities to expand or optimize our advertising footprint through sponsored product placements, applying deep analytical rigor and leveraging advanced Machine Learning models to drive significant business impact.
• Translate complex business problems into clear, comprehensive product requirements, collaborating closely with cross‑functional and cross‑department teams (including ad ranking, platform, and advertiser experience teams). These requirements will include detailed technical specifications and data schemas to guide engineering efforts.
• Design and coordinate rigorous A/B testing frameworks and experimentation plans with stakeholder teams owning Wayfair’s website and recommendation algorithms. You will lead the execution of sponsored footprint expansions and optimizations, meticulously analyzing test results to inform iterative product development and data‑driven decisions.
• Act as a technical product leader within your dedicated engineering team, driving timely and smooth execution by actively participating in sprint rituals (grooming, planning, retrospective) and providing technical guidance and problem‑solving support to ensure high‑quality delivery.
• Drive successful go‑to‑market strategies for your products in partnership with internal or external stakeholders, ensuring seamless integration and adoption.
• Contribute to the longer‑term vision for sponsored placements, articulating how and when they should be used versus other ad or organic content types on the site. This will involve integrating insights from performance metrics, user behavioral data, and competitive analysis.
• Influence and shape the strategic direction for improving all aspects of the advertising program, including sophisticated candidate generation and ranking algorithms, with the goal of maximizing ads monetization outcomes for sponsored product placements while safeguarding customer experience.
• Build and maintain a robust product roadmap, constantly monitoring product success and measuring the impact of your features through advanced data analysis, KPI tracking, and experimentation frameworks.

• 3‑5 years building software products at scale with measurable impact, ideally across multiple platforms or work streams, demonstrating a strong foundation in software development lifecycle and agile methodologies.
• Experience with advertising technology platforms or consumer‑facing e‑commerce experiences is highly preferred.
• A strong track record of effective partnership with engineering and machine learning / applied science teams, demonstrating a deep understanding of complex technical architectures, data pipelines, and algorithmic design in driving cross‑organizational initiatives and product launches.
• Exceptional quantitative skills with a track record of translating customer feedback or other complex data into actionable product insights, rapidly pressure‑testing hypotheses, and translating learnings into a validated product roadmap with high‑fidelity requirements.
• Demonstrated proficiency in agentic‑enabled workflows to accelerate and evolve the product discovery lifecycle.
• Solid understanding of UI/UX design principles and best practices for a front‑end eCommerce experience, with the ability to articulate user flows, wireframes, and collaborate effectively with design teams to create intuitive and effective interfaces.
• Proven ability to engage deeply in highly technical conversations with both software engineers and machine learning scientists, understanding architectural tradeoffs, data models, API design, and machine learning model development and iteration.
• Excellent communication skills, with the ability to distill complex technical nuances into clear, concise "so‑what" statements and tailor your message effectively to diverse audiences (cross‑functional stakeholders, senior leadership, etc.).
• A customer‑centric mindset and…