Senior Product Manager – Technology Focus

Requirements

Must have:

– Masters degree or foreign equivalent in Computer Science, Engineering, Information Systems Management, or a closely related field plus six years of experience in this position or a related role. – Alternatively, a Bachelors degree or foreign equivalent in Computer Science, Engineering, Information Systems Management, or a closely related field plus eight years of experience in this position or a related role. – Advanced data analysis experience using SQL, BigQuery, and Teradata (minimum 5 years). – Proficiency in data visualization tools such as Tableau and Looker to create dashboards and analyze KPIs (minimum 5 years). – Expertise in conducting statistical analysis of A/B tests utilizing t-tests and regression techniques in Excel or Looker (minimum 4 years). – Experience with cloud-based distributed data systems like Google Cloud Platform (GCP) and Snowflake (minimum 1 year). – Collaborative experience in developing machine learning models such as NLP classifiers, XGBoost, and Decision Trees (minimum 4 years). – Familiarity with clustering algorithms like K-Means for segmentation and user profiling in product applications (minimum 4 years). – Conducted user behavior and clickstream analysis using SQL and internal analytics systems (minimum 3 years). – Experience with Alteryx or Google Analytics for data preprocessing and funnel analysis in onboarding workflows (minimum 1 year). – Worked with Large Language Models (LLMs) for intent recognition, content generation, or messaging optimization in digital product workflows (minimum 1 year).

Responsibilities:

• Formulate both short-term and long-term product strategies and technical roadmaps for Seller Onboarding Registration to align with enterprise business objectives. – Assess business cases and convert business and customer needs into digital product roadmaps, engineering specifications, and system architecture documents. – Conduct competitive intelligence analysis and internal data evaluations to identify new opportunities in Seller Registration. – Perform advanced data analysis utilizing tools such as Tableau, Google Analytics, Excel, SQL, BigQuery, and Looker. – Execute user research and Voice of Customer (VoC) studies to pinpoint critical seller pain points. – Collaborate with engineering, AI/ML, and data science teams to develop scalable and intelligent onboarding features. – Document comprehensive product requirements for onboarding processes using scalable distributed systems. – Design machine learning models such as NLP classifiers, Neural Networks, XGBoost, Decision Trees, and LLMs to enhance onboarding workflows. – Conduct detailed product experimentation and performance evaluations, including A/B and interleaving tests. – Analyze test data with statistical methods including t-tests and regression analysis, and utilize Excel, Looker, and SQL for evaluating clickstream and behavioral data. – Monitor and analyze key operational metrics and financial KPIs to assess product performance and business effects using centralized dashboards. – Manage stakeholder discussions through structured product reviews, roadmap presentations, and prioritization frameworks. – Utilize data-driven insights for decision-making and offer strategic recommendations that align with business OKRs. – Collaborate with offshore development and analytics teams across different time zones to ensure timely delivery of technical outputs and continuous alignment with product objectives. – Define and document functional and technical requirements for intricate workflows, covering identity verification, seller risk scoring, fraud detection, and regulatory compliance, in conjunction with engineering, risk, and legal teams. – Partner with AI/ML teams to create models that personalize the seller onboarding experience through dynamic content rendering and contextual recommendations.

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Company:

At eBay, we are more than just a global ecommerce powerhouse; we are transforming the shopping experience worldwide. Our platform supports millions of buyers and sellers across over 190 markets. We are dedicated to innovation and crafting the future of ecommerce. Our values prioritize authenticity and embrace unique perspectives, fostering a community where bold ideas come to life. Join our passionate team of thinkers, innovators, and dreamers as we connect people and open doors to economic opportunities for all. This role is based in San Jose, CA, and partial telecommuting may be an option within a commutable range. We offer a comprehensive benefits package that includes medical, financial, and various paid time off, in addition to competitive compensation.