JPMorganChase

product manager in AI for Operations

In short

This product management role at a global financial services company involves defining AI product metrics, building demos and prototypes with code agents, and writing product requirements and PRDs for AI initiatives in Operations. The company is a large investment bank, and the role sits within a Commercial & Investment Bank team collaborating with engineers, designers, analysts, and business leads. It demands at least 2 years of product management experience plus familiarity with AI model architectures like LLMs, prompting, RAG, and agentic frameworks.

About
J.P. Morgan is a global financial services provider offering strategic advice and products to corporations, governments, wealthy individuals, and institutional investors. Its Commercial & Investment Bank provides banking, markets, securities services, and payments, as well as strategic advice, capital raising, risk management, and liquidity.
Responsibilities
•Define and measure baseline business metrics for AI products, and validate that production performance meets goals and success criteria
•Build demos and prototypes using code agents, and collaborate with engineers, designers, analysts, and front-office business leads to define product requirements aligned with product strategy
•Translate user and business needs into strategy and actionable requirements
•Write and own user stories and Product Requirements Documents (PRDs)
•Contribute to team-wide and firm-wide AI presentations
Requirements
•Bachelor's degree or equivalent practical experience
•At least 2 years of experience in product management or a related technical role
•At least 1 year of experience in a company with a strong product management culture
•Experience learning new businesses and mapping pain points and opportunities
•Experience driving all or part of the product lifecycle, writing product documents, and leading tech teams from idea through alignment, execution, and launch
•Familiarity with AI model architectures such as Large Language Models, and methods such as prompting, context engineering, fine-tuning, RAG, MCPs, and agentic frameworks
•Strong communication skills
Nice to have
•An advanced degree in Computer Science, engineering, or a related field
•A proven track record of delivering and launching successful products at scale
•Experience driving tech transformation for large digital operations
•Experience presenting strategy and progress to senior leads
Conditions
•Location: London

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