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Sr. Product Manager–T, Shopping Intent & Conversion Triggers

About the Team and Role

This role is part of eBay’s Buying Conversion team and will lead the Shopping Intent portfolio of user intent decisioning and automated re-engagement systems. You will act as portfolio lead across strategy, roadmap, and execution for customer-facing communications. These communications help buyers return to relevant inventory and continue their path to purchase. You will also lead experimentation and measure business impact.

Shopping Intent sits at the center of eBay’s buyer re-engagement strategy. The portfolio activates both expressed and observed buyer intent signals — including saved searches, followed sellers, watched items, recently viewed items, carts, checkout, price changes, and other high-intent shopping behaviors — across email, push notifications, in-app notifications, and emerging CRM channels.

In this highly visible role, you will shape how eBay uses user intent, personalization, recommendation signals, and AI-powered decisioning to deliver relevant, timely, and valuable customer communications while mitigating notification fatigue. Partnering directly alongside Engineering, Data Science, Build, and Analytics, you will evolve the portfolio into an intelligent, event-driven re-engagement engine.

As the portfolio lead, you will own end-to-end technical product management—from defining automated trigger logic and intent decisioning models to writing PRDs, establishing A/B testing frameworks, and scaling system capabilities. If you are passionate about marketplace dynamics, customer-centric growth, and building high-scale product systems, this is an outstanding opportunity. It allows you to influence the next era of eBay’s conversion engine.

What You Will Do

• Own the Shopping Intent CRM portfolio, including vision, strategy, roadmap, experimentation, performance, and measurable business outcomes.
• Define how eBay activates high-intent shopping signals and build customer-facing CRM experiences across email, push notifications, in-app notifications, hub, and future owned-channel surfaces to help customers return to relevant inventory and continue their path to purchase.
• Lead roadmap planning and prioritization across multiple programs and features, balancing customer relevance, conversion impact, operational complexity, technical feasibility, and long-term strategic value.
• Partner with Engineering, Data Science, Recommendations, CRM, Analytics, Design, and partner product teams to improve personalization, targeting, trigger logic, ranking, suppression, frequency capping, send-time optimization, channel orchestration, and measurement.
• Translate customer problems and portfolio opportunities into clear product requirements, MVPs, experiments, and execution plans; create PRDs, manage dependencies, and drive execution from discovery to launch.
• Lead and influence a small portfolio team of PMs, helping them increase their impact, sharpen product judgment, and deliver high-quality outcomes across the Shopping Intent roadmap.
  

What You Will Bring

• 7–9 years of product management experience, including experience in technical product management, growth product management, lifecycle/CRM communications, personalization, marketplace products, recommendations, search, or user behavior-based trigger systems.
• Experience owning complex customer-facing product portfolios with measurable business outcomes, ideally in a marketplace, e-commerce, consumer technology, or large-scale digital platform environment.
• Proven experience building or optimizing lifecycle communications across email, push, in-app, hub, or similar owned channels, including audience strategy, trigger logic, messaging, experimentation, and measurement.
• Strong customer and product judgment, with the ability to understand customer needs, fatigue, intent signals, marketplace dynamics, and conversion trade-offs across both sides of a marketplace.
• Working knowledge of AI/ML-powered product systems, with the ability to partner effectively with Data Science, Recommendations, Analytics, and Engineering teams on model behavior, inputs and outputs, performance measurement, and governance.
• A growth mindset and demonstrated ability to lead complex cross-functional initiatives, communicate clearly with technical and non-technical partners, influence without authority, and turn ambiguity into actionable strategy and execution.

Additional Details

The base pay range for this position is expected in the range below:

Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

If hired, employees will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

Remote roles are not eligible for U.S. visa sponsorship.

eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at [email protected]. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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