JPMorgan AI Product Manager - Agents Vice President 

United States, New York, New York 

34122753

As an AI Product Manager, Vice President for the AI Agents team within CDAO, with responsibility 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. This is a very fast moving space and strong passion for AI, Agents with strong curiosity to learn is a critical requirement.

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.
• Make rapid decisions in a complex distributed environment
• Ability to navigate through ambiguity
• 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

• 6+ years of experience in product management with proven ability to lead and develop high performing product teams
• Excellent leadership and collaboration skills, with the ability to positively influence and inspire technology teams and stakeholders
• Strong track record of owning and developing a product domain strategy and roadmap. Able to balance short-term goals and long-term vision in highly complex environments
• Experience in the AI lifecycle, spanning from data discovery, data processing, model development, model deployment, and model monitoring
• Hands-on experience building or using LLM powered Agentic solutions.
• Familiarity with LLM frameworks such as LangChain, OpenLLM, and Llama Index
• Knowledge of operationalizing LLMs responsibly through MLOps pipeline

Preferred qualifications, capabilities, and skills

• Experience in Financial Services or other highly regulated industries
• Experience in Designing products for Developer Experience
• Experience in any of Supervised Fine-Tuning (SFT), and Reinforcement learning with human feedback (RLHF), RAG, Search, and Agents.
• Experience in Cloud computing and architecture