Sr Product Associate - AI Product Manager

JPMorgan Chase · LONDON, LONDON, United Kingdom

Salary not stated · Compare with UK Product Manager pay →

Full-timeSeniorJun 2026 · checked today

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.

As an AI Product Manager at the AI for Operations team, you will leverage your AI and leadership expertise to set strategy and lead researchers, engineers, and designers building agentic AI pipelines and orchestrations to automate bank operations and workflows.

The AI for Operations team for Corporate and Investment Banking operations is transforming the bank by leveraging the latest advancements in agentic AI and LLMs. This is a high-visibility role, positioned at the intersection of product strategy, AI development, and enterprise-level operational workflows.

Job Responsibilities

Define and measure baseline business metrics for AI products and validate that production performance meets established goals and success criteria.

Build demos and prototypes using code agents and work with cross-functional teams of engineers, designers, analysts, and front-office business leads to define product requirements that drive impact on our top-level product strategy

Translate user and business needs into strategy and actionable requirements

Write and own user stories and Product Requirements Documents (PRDs)

Contribute to our team-wide and firm-wide AI presentations

Required Qualifications, Capabilities, and Skills

Bachelor’s degree or equivalent practical experience

2+ years of experience in product management or related technical role

1+ years of experience in a company with strong product management culture

Experience in learning new businesses and mapping out pain points and opportunities.

Experience driving full or parts of the product lifecycle for products, writing product documents, and leading tech teams from idea to alignment and through 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

Great communication skills

Preferred Qualifications

Advanced degree in Computer Science, engineering, or related field

Proven track record of delivering and launching successful products at scale

Experience driving tech transformation for large digital operations

Experience in presenting strategy and progress to senior leads.

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