• Define and communicate product vision and strategy for AI-driven merchant risk analysis and decision automation. • Lead development of a platform that automates data collection from merchant websites, marketplaces, and external sources. • Drive product strategies that increase auto-evaluated and auto-published case volume while maintaining defined quality and compliance metrics. • Collaborate closely with data science teams to productionize models for content analysis, prohibited product detection, and risk classification. • Design and evolve human-in-the-loop decision frameworks, including confidence thresholds, escalation paths, and analyst overrides. • Define and track success metrics including automation rate, analyst time savings, precision/recall, and override rates. • Work in a semi-fused product and engineering environment, participating in sprint planning, backlog prioritization, and delivery execution. • Partner with research and data integrity teams to translate regulatory requirements into scalable product capabilities. • Act as a primary point of contact for product-related questions, clearly translating technical and analytical concepts to non-technical stakeholders.