About this role
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