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 responsibilitiesIdentify 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 leadsDevelops a product strategy and product vision that delivers value to customersManages discovery efforts and market research to uncover customer solutions and integrate them into the product roadmapOwns, maintains, and develops a product backlog that enables development to support the overall strategic roadmap and value propositionBuilds the framework and tracks the product's key success metrics such as cost, feature and functionality, risk posture, and reliabilityRequired qualifications, capabilities, and skillsBachelor’s degree or equivalent practical experience5+ years of experience in product management or related technical role2+ years of experience in a company with strong product management cultureExperience driving the full product lifecycle for products, writing product documents, and leading tech teams from idea to alignment and through execution and launchFamiliarity with AI model architectures, such as Large Language Models, and methods such as prompting, context engineering, fine-tuning, RAG, MCPs, and agentic frameworks. 5+ years of experience or equivalent expertise in product management or a relevant domain areaAdvanced knowledge of the product development life cycle, design, and data analyticsProven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value managementPreferred qualifications, capabilities, and skillsDemonstrated prior experience working in a highly matrixed, complex organizationAdvanced 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.