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As a Senior Product Manager on our Data Platforms team, you will be building out an extraordinary Machine Learning and data infrastructure to deliver high priority seller solutions, such as sales analytics, market research, growth recommendations, price guidance and much more. Candidates with experience with Machine Learning and Data Science backgrounds are preferred.
What you will accomplish:
Lead the development of ML seller recommendations and prioritization, to drive marketplace sales growth and seller retention
Work closely with the Lead Product Manager on the development of the eBay Seller recommendation system, that will power all seller facing recommendations across web, mobile and email
Lead the development of the data structure system that will enhance seller analytics visualizations and comparisons on web and mobile
Be accountable for the articulation and the execution of the product strategy. Communicate team status and priorities to executives, partner teams, and the wider product team
Break Down Silos & Enable Strong Collaboration. Create connections and processes across teams that will drive efficient cross-team collaboration and clear alignment
What you will bring:
7+ years of strong product management experience in building products with deep expertise in customer focused product management and product development lifecycle. Experience with online marketplaces and eCommerce platforms preferred
Technical depth and proven experience with building engaging, customer-focused end-to-end UX experiences; designing elegant solutions to sophisticated problems that require integrations with multiple platforms, domains and services; and driving analysis of qualitative and quantitative data and metrics to derive opportunities, gaps, and solutions
Strong collaboration and communication skills. Experience working with matrixed teams in a global context to successful delivery and excellence
Strong analytical abilities with a successful track record and specific examples of launching products with measurable impact.
Deep understanding of the product lifecycle from planning through deployment; experience using test and validation frameworks. Experience in Agile/Scrum methodologies and working in Agile teams is desirable
Effective story-teller; experience using both analytics and qualitative research to express the vision and strategy
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