Location
London

Hours
Full Time

Salary
Competitive, commensurate with experience

About the Role
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 within 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. This team, focused on Corporate and Investment Banking operations, is transforming the bank by leveraging the latest advancements in agentic AI and large language models (LLMs). This is a high-visibility role positioned at the intersection of product strategy, AI development, and enterprise-level operational workflows.

Key responsibilities include defining and measuring baseline business metrics for AI products and validating that production performance meets established goals and success criteria. You will build demos and prototypes using code agents and collaborate 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. Additionally, you will translate user and business needs into strategy and actionable requirements, write and own user stories and Product Requirements Documents (PRDs), and contribute to team-wide and firm-wide AI presentations.

Experience
- Minimum 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
- Proven ability to learn new businesses and map out pain points and opportunities
- Experience driving full or partial product lifecycles, writing product documents, and leading technical teams from idea through execution and launch
- Familiarity with AI model architectures such as Large Language Models and methods including prompting, context engineering, fine-tuning, retrieval-augmented generation (RAG), multi-channel processing (MCPs), and agentic frameworks
- Excellent communication skills

About you
Strategic thinker with strong leadership skills, able to work collaboratively across diverse teams. Comfortable operating at the intersection of AI technology and enterprise operations with a passion for innovation and delivering impactful products.

Qualifications
- Bachelor's degree or equivalent practical experience required
- Advanced degree in Computer Science, Engineering, or a related field preferred
- Proven track record of delivering and launching successful products at scale
- Experience driving technology transformation for large digital operations
- Experience presenting strategy and progress to senior leadership