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 a Product Manager in Corporate and Investment Bank 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
- Develops a product strategy and product vision that delivers value to customers
- Manages discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap
- Owns, maintains, and develops a product backlog that enables development to support the overall strategic roadmap and value proposition
- Builds the framework and tracks the product's key success metrics such as cost, feature and functionality, risk posture, and reliability
- Identifies how AI can impact top-line business metrics.
- Translates user and business needs into strategy and actionable requirements,
- Writes and owns Roadmaps and Product Requirements Documents (PRDs),
- Leads a project team of engineers, designers, analysts, and front-office business leads through technical and non-technical decisions all the way to launch.
- Presents, drive alignment, and get buy-in from the company leads.
Required qualifications, capabilities, and skills
- 5+ years of experience or equivalent expertise in product management or a relevant domain area
- 2+ years of experience in a company with strong product management culture
- Advanced knowledge of the product development life cycle, design, and data analytics
- Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management
- Experience leading tech teams from Idea to alignment and through executionn
- Familiarity with AI model architectures, such as Large Language Models, and methods such as prompting, context engineering, fine-tuning, RAG, MCPs, and agentic frameworks
- Bachelor’s degree or equivalent practical experience
Preferred qualifications, capabilities, and skills
- Demonstrated prior experience working in a highly matrixed, complex organization
- 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
#CIBAppliedAI