Senior AI Product Manager

JPMorganChase is hiring a Senior AI Product Manager for its Corporate and Investment Bank operations team. The role sets product strategy and leads researchers, engineers, and designers in developing agentic AI pipelines and orchestrations to automate banking operations and workflows.

Responsibilities

• Develops a product strategy and product vision that delivers value to customers
• Manages discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap
• Owns, maintains, and develops a product backlog that enables development to support the overall strategic roadmap and value proposition
• Builds the framework and tracks the product's key success metrics such as cost, feature and functionality, risk posture, and reliability
• Identifies how AI can impact top-line business metrics
• Translates user and business needs into strategy and actionable requirements
• Writes and owns Roadmaps and Product Requirements Documents (PRDs)
• Leads a project team of engineers, designers, analysts, and front-office business leads through technical and non-technical decisions all the way to launch
• Presents, drive alignment, and get buy-in from the company leads

Preferred

• Demonstrated prior experience working in a highly matrixed, complex organization
• Advanced degree in Computer Science, engineering, or related field
• Experience defining robust evaluation sets and leading teams through quantitative and qualitative evaluations and iterations to achieve reliable, high-quality delivery
• Proven track record of delivering and launching successful products at scale
• Experience leading tech transformation for large digital operations
• Experience leading product development in highly complex, large-scale back-end environments
• Matrixed Organization Experience
• Computer Science
• Evaluation Set Design
• Quantitative Evaluation
• Qualitative Evaluation
• Iterative Product Improvement
• Reliable Product Delivery
• Product Launch
• Scaled Product Delivery
• Technology Transformation
• Digital Operations
• Product Development
• Large-Scale Back-End Environments
• Team Leadership
• Cross-Functional Collaboration

Benefits

• Those in eligible roles may receive commission-based pay.
• Those in eligible roles may receive discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
• Comprehensive health care coverage
• On-site health and wellness centers
• A retirement savings plan
• Backup childcare
• Tuition reimbursement
• Mental health support
• Financial coaching

Company

• Global financial institution offering banking, asset management, and advisory services
• New York, New York, USA
• https://www.jpmorganchase.com/
• Founded in 2000
• 10001+ employees

Qualifications

• 5+ years of experience or equivalent expertise in product management or a relevant domain area
• 2+ years of experience in a company with strong product management culture
• Advanced knowledge of the product development life cycle, design, and data analytics
• Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management
• Experience leading tech teams from Idea to alignment and through executionn
• Familiarity with AI model architectures, such as Large Language Models, and methods such as prompting, context engineering, fine-tuning, RAG, MCPs, and agentic frameworks
• Bachelor's degree or equivalent practical experience
• Demonstrated prior experience working in a highly matrixed, complex organization
• Advanced degree in Computer Science, engineering, or related field
• Experience defining robust evaluation sets and leading teams through quantitative and qualitative evaluations and iterations to achieve reliable, high-quality delivery
• Proven track record of delivering and launching successful products at scale
• Experience leading tech transformation for large digital operations
• Experience leading product development in highly complex, large-scale back-end environments

Required skills

• Product Management, Product Development Lifecycle, Product Strategy, Data Analytics, Large Language Models (LLMs), Context Engineering, Fine-Tuning, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), Agentic AI Frameworks, AI Evaluation

Experience

• 5+ years