Senior AI Product Manager

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 scale of the world’s largest bank. As a Product Manager in the 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. This high-visibility role sits at the intersection of product strategy, AI development, and enterprise-level operational workflows.

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 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 a 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.

Preferred Qualifications

• 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.

Benefits

• Comprehensive health care coverage.
• On-site health and wellness centers.
• Retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching.
• Discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.

Pay

Base salary determined based on the role, experience, skill set, and location. Those in eligible roles may receive commission-based pay.