Senior Product Associate - SMB Lending

Be an integral part of an AI-forward , agile team that’s constantly pushing the envelope to enhance, build, and deliver top‑notch technology products. As a Senior Product Associate within JPMorganChase Business Banking , you contribute to the end-to-end product lifecycle by supporting product strategy, defining and refining requirements, and partnering with Engineering, Design, Data, and stakeholders to deliver outcomes that matter to clients. You will use customer feedback, user research, and data to help prioritize work, improve existing experiences, and identify opportunities for new capabilities. You will also help ensure releases are high-quality and aligned to our standards for security, resiliency, and scalability, playing a key role in the ongoing success and evolution of our products. 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 Experience with AI integration and collaborating with AI prompt engineers to deliver AI solutions Demonstrated work on AI‑enabled or data‑assisted products (assistive UIs, recommendations, retrieval/search, or workflow copilots). Practical familiarity with responsible AI principles (transparency, user control, error states) and firm controls/governance processes. Preferred qualifications, capabilities, and skills Prior experience working in a matrixed organization with cross-functional teams and multiple stakeholders Familiarity with agile delivery methodologies and tools used to manage product backlogs and sprint planning Experience in small business banking, financial services, or a similarly regulated industry Background in collaborating with data science or AI prompt engineering teams to define and refine AI-driven product features Exposure to document management, digital onboarding, or workflow automation products within a regulated environment