Senior AI Product Manager

Testing Site - JPMC; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

Testing Site - JPMC in London seeks an AI Product Manager for the Corporate and Investment Banking operations team. You will set strategy and lead researchers, engineers, and designers building agentic AI pipelines to automate bank operations and workflows.

The role blends product leadership with AI development in a high-visibility setting at a global bank, requiring strong communication, strategic thinking, and hands-on execution across the full product lifecycle.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5+ years of product management or related technical role.
• 2+ years in a company with strong product management culture.
• Experience driving the full 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.

Responsibilities

• Identify how AI can impact top-line business metrics.
• Translate user and business needs into strategy and actionable requirements,
• Write and own Roadmaps and Product Requirements Documents (PRDs),
• Lead a project team of engineers, designers, analysts, and front-office business leads through technical and non-technical decisions all the way to launch.
• Present, drive alignment, and get buy-in from the company leads.

Skills

Product management

Team leadership

Strategic thinking

AI / LLM knowledge

Stakeholder communication

Education

Bachelor’s degree or equivalent practical experience

Advanced degree in CS/Engineering (preferred)

Tools

Roadmapping tools

Job description

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 Corporate and Investment Banking 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 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

• Identify how AI can impact top-line business metrics.
• Translate user and business needs into strategy and actionable requirements,
• Write and own Roadmaps and Product Requirements Documents (PRDs),
• Lead a project team of engineers, designers, analysts, and front-office business leads through technical and non-technical decisions all the way to launch.
• Present, drive alignment, and get buy-in from the company leads.

Required qualifications, capabilities, and skills

• Bachelor’s degree or equivalent practical experience
• 5+ years of experience in product management or related technical role
• 2+ years of experience in a company with strong product management culture
• Experience driving the full 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

Preferred qualifications

• Advanced degree in Computer Science, engineering, or related field.
• Experience defining robust evaluation sets and leading teams through quantitative and qualitative evaluations and iterations to achieve reliable, high-quality delivery.
• Proven track record of delivering and launching successful products at scale.
• Experience leading tech transformation for large digital operations.
• Experience leading product development in highly complex, large-scale back-end environments.