Senior Product Associate, Agentic AI

Unleash your expertise in product development and optimization by leveraging user research, analyzing metrics, and collaborating across one of the world’s most innovative financial organizations. As a Senior Product Associate in Chase's Agentic Experience organization, you are an integral part of the team that innovates new product offerings and leads the end-to-end product life cycle. As a core leader, you are responsible for acting as the voice of the customer and developing the strategies that drive awareness, adoption, and long-term engagement with Chase's agentic experiences. Utilizing your deep understanding of customer behavior, digital engagement, and channel strategy, you guide how customers discover and return to agentic features — translating data and research into actionable messaging, entry point, and notification strategies. With a strong commitment to scalability, resiliency, and stability, you collaborate closely with cross-functional teams across Channels, Communications, and Personalization to deliver experiences that exceed customer expectations. Job responsibilities Partners with the Product Manager to identify new product opportunities that reflect the needs of our customers and the market through user research and discovery Considers and plans for upstream and downstream implications of new product features on the overall product experience Supports the collection of user research, journey mapping, and market analysis to inform the strategic product roadmap and provide insight on potential product features that provide value to customers Analyzes, tracks, and evaluates product metrics including work to time, cost, and quality targets across the product development life cycle Writes the requirements, epics, and user stories to support product development Required qualifications, capabilities, and skills 3+ years of experience or equivalent expertise in product management or a relevant domain area Proficient knowledge of the product development life cycle Experience in product life cycle activities including discovery and requirements definition Developing knowledge of data analytics and data literacy Preferred qualifications, capabilities, and skills Experience with AI-driven or agentic product experiences, personalization engines, or proactive customer communication platforms