JPMorgan AI Product Manager - Agents Sr Associate 

United States, New York, New York 

973620835

As an AI Product Manager, Sr. Associate for the AI Agents team within CDAO, you will be responsible for contributing to building products that facilitate the firm-wide efforts to drive the adoption of AI Agents across the firm. You will drive the product strategy, progression through the product development lifecycle, and partnership with technology partners necessary to deliver best-in-class products for the firm.

Job Responsibilities

• Define a strategic vision and roadmap for the product that enables capabilities, governance, and operational metrics for the Agents Builder platform that could include topics such as Orchestration, Supervised Fine-Tuning (SFT), RLHF, Memory, RAG and, Search.
• Become the evangelist for the product vision across the firm and engage stakeholders across the Firm and demonstrate clarity, experience, and criticality of the product.
• Work with stakeholders across the various businesses (Investment Bank, Consumer Bank, etc.) and functional groups (Legal, Technology, Controls) to collect business requirements, create PRDs and ship high quality products that solve business needs/requirements.

Required qualifications, capabilities and skills

• 3+ years of experience in product management with proven ability to lead and develop high performing product teams
• Excellent communication and collaboration skills, with the ability to positively influence and inspire technology teams and stakeholders
• Strong track record of product features and managing product roadmap. Able to balance short-term goals and long-term vision in highly complex and fast moving environments
• Experience interaction with engineering teams, building PRDs, providing status communications.
• Contributing to product strategy and conducting product research

Preferred qualifications, capabilities, and skills

• Experience in Financial Services or other highly regulated industries
• Experience in any of Supervised Fine-Tuning (SFT), and Reinforcement learning with human feedback (RLHF), RAG, Search, and Agents.
• Familiarity with LLM frameworks such as LangChain, OpenLLM, and Llama Index
• Hands-on experience building or using LLM powered Agentic solutions.