Sr Product Manager - Recommendations

eBay • Toronto, ON

37d

About The Position

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all. About the team and the role: eBay’s Memory initiative is chartered to turn eBay into a highly personalized shopping destination that cannot be easily disintermediated by shopping agents. We’re building durable, user-centric memory across the stack, from ML and back-end systems to front-end experiences, to deliver highly relevant - both contextually and personally - shopping journeys from discovery to conversion and post purchase. We’re seeking a seasoned Senior Product Manager who is a strong generalist, eager and quick to learn different parts of the stack, and who thrives at the intersection of ML/back-end systems and experience design. You will work with creative and technical partners across design, content, analytics, and engineering to define and deliver end-to-end memory-powered experiences that differentiate eBay. If you excel at building relationships, navigating complex stakeholder landscapes, and driving exceptional execution across multiple concurrent projects, this role is for you.

Requirements

• 5+ years of Product Management (or equivalent) building consumer or platform products at scale, with a strong record of end-to-end delivery.
• Demonstrated ability to learn quickly across domains (ML/personalization, data, back-end APIs, UX) and translate technical concepts into customer value.
• Hands-on experience with personalization or ML-driven features (signals, feature stores, data pipelines, experimentation, evaluation metrics).
• Familiarity with back-end/platform systems and APIs; comfortable working closely with engineering and analytics partners.
• Strong execution and delivery: shipped multi-quarter initiatives, managed complex stakeholder relationships, and hit milestones consistently.
• Excellent program leadership: planning, prioritization, risk management, and cross-functional collaboration across design/content/analytics/engineering.
• User-centric mindset and experience design fluency; adept at iterating with design partners toward measurable outcomes.
• Clear, concise communication; strong storytelling and data-informed decision-making in ambiguous, fast-paced environments.
• Proven ability to manage multiple concurrent projects effectively.

Responsibilities

• Champion the Memory product vision, strategy, and roadmap to deliver deeply personalized shopping experiences that resist agent disintermediation.
• Partner with science and engineering to design and evolve core memory capabilities (signals, features, embeddings, data pipelines, APIs, memory graph) that power retrieval, ranking, and relevance.
• Translate memory signals into user-facing surfaces in collaboration with design and content — home, search, browse, recommendations, notifications — with clear user value and measurable outcomes.
• Define world-class success metrics and experimentation strategy (A/B tests, offline metrics, guardrails); drive continuous improvement across relevance, engagement, and GMV.
• Lead cross-functional planning and execution across design, content, analytics, science, and engineering; align stakeholders, manage dependencies, and ensure on-time, high-quality delivery.
• Write crisp PRDs and decision docs; maintain backlogs; run agile rituals; systematically unblock teams and manage risk.
• Champion privacy, safety, and responsible personalization (data governance, opt-ins, regional requirements) while maximizing user value.
• Communicate progress, insights, and tradeoffs clearly to executives and partners; foster strong relationships across the organization.
• Manage multiple projects simultaneously, balancing near-term wins with foundational long-term investments.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees