Key Responsibilities:
Own product vision, strategy, and execution for integrating commerce solutions into PayPal’s emerging conversational search experience, powered by LLMs and retrieval-augmented generation (RAG) methods.
Define and prioritize a phased roadmap balancing foundational infrastructure, early partner integrations, and quick user-facing wins.
Develop scalable integration models for structured commerce content (e.g. feeds, APIs, availability, pricing) with appropriate fallback logic for aggregator-based inventory.
Partner closely with engineering, design, applied science, and partnerships to ship experiences that are context-aware, brand-safe, andconversion-optimized.
Shape the taxonomy, ranking logic, and UX patterns for embedding
shoppable content within search results and conversational flows.
Guide test-and-learn cycles to validate hypotheses, drive performance improvements, and refine the balance between utility and monetization.
Establish success metrics and instrumentation to measure engagement, revenue impact, and partner contribution.
Stay current on developments in AI interfaces, RAG architectures, vector search, and commerce enablement platforms.
Requirements
8+ years of product management experience, including time spent on commerce, search, or platform integration initiatives.
Familiarity with LLM-based products and architectures, including the fundamentals of RAG systems and their application to commerce discovery.
Proven ability to lead in ambiguous, zero-to-one environments defining strategy, driving alignment, and executing with urgency.
Strong product instincts with an ability to simplify complex problems, make pragmatic tradeoffs, and focus on high-leverage opportunities.
Experience building and launching partner-facing tools (e.g. structured feed ingestion, onboarding flows, integration health dashboards).
Excellent collaboration and communication skills; adept at navigating cross-functional dynamics and influencing across levels.
Analytical mindset; comfortable interpreting experiment results and behavioral data to inform decision-making
Preferred Qualifications
Experience in fintech, e-commerce, or a high-growth consumer tech company.
Familiarity with machine learning models for content recommendations.
Advanced degree in Computer Science, Product Management, or a related field.
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The US national annual pay range for this role is $188,000 to $323,950
Our Benefits:
Any general requests for consideration of your skills, please
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