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Product Manager Experimentation Platform

Job in Toronto, Ontario, C6A, Canada
Listing for: eBay
Full Time position
Listed on 2026-06-30
Job specializations:
  • IT/Tech
    Business Systems/ Tech Analyst, Data Analyst
Job Description & How to Apply Below

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 Cloud Data and AI organization provides the backbone that powers eBay’s global scale, operations, and experiences. Within this organization, Data, AI & Experimentation platforms accelerate product velocity and business impact by providing integrated, reliable foundations for data, analytics, machine learning, and experimentation. We enable the insight to production loop so teams can move from ideas to decisions and from prototypes to shipped features quickly, with confidence, and with measurable outcomes.

What

You Will Accomplish
  • Set Direction:
    Craft a compelling long‑term vision and strategy for the portfolio, aligning user and team needs with business objectives and industry trends.
  • Champion Users:
    Build deep user understanding and empathy through regular engagement, research, and feedback loops to identify difficulties and opportunities.
  • Manage

    Roadmap:

    Build and prioritize projects that balance today’s needs with strategic evolution to improve impact, making thoughtful trade‑offs and aligning interested parties along the way.
  • Guide Development:
    Partner with design and engineering to define requirements, develop intuitive experiences, and validate solutions that result in cohesive user journeys across the platform ecosystem.
  • Drive Adoption:
    Build effective rollout strategies. Promote new capabilities through targeted communication, education, and roadshows. Provide comprehensive documentation, learning resources, and self‑service tools to accelerate adoption and reduce support burden.
  • Drive Improvement:
    Define success metrics tied to user adoption, happiness, and efficiency.
  • Partner with the broader Product team to bring to bear the data and AI platform in service to platform and experience improvements.
What You Will Bring
  • 7+ years of experience in technical Product Management within complex technical fields.
  • Strong knowledge of experimentation fundamentals, experiment runtime/triggering, analysis pipelines, and monitoring for bias, novelty, and interference.
  • Demonstrated passion for experimentation platforms and methodologies with a pulse on emerging trends.
  • Curiosity and growth mindset: actively seeking new perspectives and able to bring fresh thinking to technical challenges.
  • Strategic vision and acumen: proven track record of managing product portfolios in complex technical domains with a clear vision and strategy to improve portfolio impact. Skilled at connecting business objectives with user needs, balancing quick wins with strategic bets, and making thoughtful trade‑offs.
  • Business insight:
    Understands how platform investments drive business outcomes. Clearly explains the value of technical investments in business terms and links platform capabilities to company strategic priorities.
  • Customer focus:
    Deeply understanding user needs through continuous engagement. Ability to identify and articulate clear problem statements. Develops innovative solutions with strong product intuition and judgement, thinking holistically about end‑to‑end user experience.
  • Data Driven:
    Analytical outlook that employs quantitative and qualitative data to understand user behavior, validate assumptions, and inform product decisions. Builds a culture that demonstrates clear success metrics to measure impact and drive continuous improvement.
  • Decisive:
    Makes timely decisions that provide clear direction and reduce ambiguity. Conviction in product opinions while remaining open to alternative perspectives and new…
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