• Lead customer interviews, workshops, and data analysis to uncover unmet needs and product opportunities • Translate insights into clear problem statements, business requirements, user stories, and product hypotheses • Evaluate opportunities based on customer value, market potential, and technical feasibility • Define early product concepts, including workflows, data structures, and integration requirements, in partnership with engineering and design • Outline MVP scope, success criteria, and validation plans for new product initiatives • Build and test low- and high-fidelity prototypes to assess usability and business value • Define product requirements and user stories for AI-enabled features and automation • Translate business intent into functional AI use cases (e.g., copilots, document intelligence, decision-support tools) • Document model assumptions, governance requirements, and evaluation frameworks to support responsible AI development • Act as the product liaison in customer and stakeholder discussions, articulating value propositions and technical trade-offs • Partner with Product, Engineering, Design, and Marketing to test new product concepts through pilots and iterative experiments • Synthesize learnings to refine product positioning, roadmap priorities, and development strategies • Define and track KPIs for validation-stage product initiatives • Lead retrospective reviews to capture learnings from both successful and failed experiments • Provide recommendations that inform long-term roadmap and product portfolio decisions