Sr. Product Manager, Buyer Science

eBay•Toronto, ON

35d

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 Buyer and Seller Science is core to eBay’s business. Joining eBay's science team means being part of an innovative and dynamic team that is dedicated to delivering exceptional experiences to millions of customers worldwide. As a member of the eBay science team, you'll have the opportunity to lead the strategic direction of user taste graphs powering personalized search and recommendation experiences across eBay and drive innovation in related technologies. You'll work with some of the brightest minds in the industry, using cutting-edge data science techniques and technologies to create relevant experiences. We're looking for individuals who thrive in a fast-paced and collaborative environment, and who are committed to delivering the best possible experience to our customers. With a culture that values creativity, courage, and collaboration, and with endless opportunities for growth and advancement, our team is the perfect place to take your career to the next level. Join us and be part of a team that's shaping the future of ecommerce! We are seeking a highly motivated and experienced Product Manager to join the science team and lead the effort to build and improve user taste graphs that will power personalized search and recommendation experience across eBay. As the Product Manager for user taste graphs, you will be responsible for driving the strategy and execution of initiatives aimed at improving the experiences for our customers, ultimately driving revenue growth for the company. The candidate should be comfortable dealing with ambiguity and should have experience with defining requirements, driving cross team collaboration and exec level communication, as well as working with product managers, engineers, applied researchers, and analytics teams to define the solutions. The candidate should be adept at data driven decision making and with analyzing huge amounts of data.

Requirements

5+ years of proven track record of product management experience. Ideally have previous experience building customer centric platform products delivering values to both sides of a market place (buyers and sellers)
Bachelor’s Degree or equivalent experience required; Master’s Degree preferred
A consistent record of building new, innovative, and engaging customer experiences informed by customer data from various sources (market research, A/B testing, user research)
A customer obsession with a passion for everything related to search and recommendation technology, and AI driven innovation to build great experiences for the customers
Strong quantitative skills with a data first mindset; ability to use data and metrics to back up assumptions, recommendations, and drive actions
Excellent written and verbal communication skills
Technically savvy (a technical role in past, or Computer Science Degree)

Responsibilities

Own product strategy and roadmap for user taste graphs.
Data driven product prioritization with a balance of near-term deliverables and longer-term investment in technology platforms
Effectively communicate strategies & trade-offs up to senior leaders and down to development teams
Putting the customer first, understand market specific nuances and identify science algorithm improvements to address unique market specific needs
Driving collaboration across multiple teams to ensure teams are aligned and are working towards solving customer problems
Drive A/B testing to identify launch candidates that improve metrics

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