Senior Product Manager 2 - Technical

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, Inc. seeks Senior Product Manager 2 - Technical in San Jose, CA  What you will accomplish:  Job Duties: Lead the risk policy, data science, engineering, and operations teams throughout the design, development, and implementation of high-impact software and systems features, experiments, risk framework, and capabilities that improve the customer experience while managing financial loss due to fraud. Design and drive a user-focused project roadmap, utilizing data insights, qualitative user research, and design principles to enable genuine users. Define and track key performance indicators (KPIs) to measure the success of product features and experiments. Communicate product vision, roadmap, and progress to partners across the company. Supervise and direct the installation and usage of Artificial Intelligence and Machine Learning models and tools to proactively detect fraud risk patterns. Create strategic alignment with other products and cross-functional teams around vision, resourcing, and priorities to execute effectively. Establish a clear strategy and vision for the area of focus within buyer risk by leveraging internal and external capabilities. Lead A/B testing sequences to validate hypotheses and implement solutions to enhance conversion rates and user engagement and using experimental data to iteratively improve product performance and achieve key business objectives. Lead and estimate engineering effort, plan implementations, and rollouts for applications integrating with cross-functional components. Evaluate individual and team performance at each project checkpoint to proactively identify and mitigate any potential risks and maintain compliance with the timeline of deliverables. Partial telecommuting permitted from within a commutable distance.

Minimum Requirements: Master’s degree, or foreign equivalent, in Computer Science, Engineering, Business Administration or a closely related field plus two years of experience in the job offered or a related occupation. Employer will accept a Bachelor’s degree, or foreign equivalent, in Computer Science, Engineering, Business Administration or a closely related field plus five years of experience in the job offered or a related occupation. Special Skill Requirements:  Experience developing and interpreting fraud detection, transaction risk, and identity verification models (2 years) Proficiency with SQL for large-scale data extraction, transformation, and analysis (2 years) Working knowledge of machine learning concepts, including feature engineering, supervised and unsupervised classification, and anomaly detection (2 years) Proficiency in Agile product management tools such as Jira, Confluence, and Asana for product backlog and roadmap tracking (2 years) Strong understanding of data pipeline structures, real-time event processing, and decisioning systems (2 years) Salary: $223,142.00-271,300.00 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m. Must be legally authorized to work in the U.S. without sponsorship.  Additional Details 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