Group AI Product Director
JPMorgan Chase · New York, United States · 9h ago
Director & ExecutiveOn-siteProduct Management
J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
#CIBAppliedAI
We are building the next generation of AI and autonomous agents that can reason, plan, act, and learn to solve critical problems in operations at the huge scale of the world’s largest bank. The AI team for Corporate and Investment Banking operations is transforming the bank by leveraging the latest advancements in agentic AI and LLMs.
As an AI Product Manager Lead at the Corporate and Investment Banking operations team, you will leverage your AI and leadership expertise to lead large areas of our AI strategy, guide product managers and engineers through strategy and execution, and drive our most business-critical initiatives to delivery key results.
Job responsibilities
- Defines and drives the AI product strategy for a large area of the bank operations.
- Collaborate with executive leaders, including Executive Directors and Managing Directors, from various teams across the firm, to deliver results.
- Lead teams of product managers, guiding their work and developing their skills.
- Write and own Roadmaps and Product Requirements Documents (PRDs) for our most ambitious early-stage top projects and initiatives.
- Stay up to date with the latest AI innovation and agentic practices to ensure JPMC is building with the latest technology.
Required qualifications, capabilities, and skills
- Bachelor’s degree in Computer Science, other relevant engineering discipline, or equivalent practical experience.
- 8+ years of experience in product management or related technical role, driving teams through the entire product development lifecycle (vision, strategy, requirements, execution, launch).
- 4+ years of experience in a company with strong product management culture.
- Familiarity with AI model architectures, mostly Large Language Models (LLMs), optimization techniques, such as prompting, context engineering, and fine-tuning, and AI frameworks, such as RAG, MCPs, and agentic pipelines.
Preferred qualifications, capabilities, and skills
- Advanced degree in Computer Science, other relevant engineering discipline.
- Proven track record of delivering and launching successful products at scale, within time sensitive timelines.
- Experience motivating and aligning others at all levels, by creating solid roadmaps and shared sense of purpose.
- Experience delivering complex projects, with the ability to take on initiative and have solid outcomes.
- Ability to balance detailed, technical guidance with big picture strategy.
- Ability to collaborate across organizations and product areas to get things done and comfort with organizational complexity.
#CIBAppliedAI