Senior AI Product Manager

About This Role

This senior role is at the intersection of product strategy, AI development, and enterprise-level operational workflows, focusing on building the next generation of AI and autonomous agents. The Product Manager will leverage their AI and leadership expertise to set strategy and lead researchers, engineers, and designers in building agentic AI pipelines and orchestrations to automate bank operations and workflows within the Corporate and Investment Bank operations team.

Responsibilities

• Develop a product strategy and product vision that delivers value to customers
• Manage discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap
• Own, maintain, and develop a product backlog that enables development to support the overall strategic roadmap and value proposition
• Build the framework and track the product's key success metrics such as cost, feature and functionality, risk posture, and reliability
• 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

Requirements

• 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 execution
• 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

Nice to have:

• 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