AI Product Manager, VP

Build the next generation of AI and autonomous agents that can reason, plan, act, and learn to solve critical operations problems at massive scale. In this high-visibility role, you will shape product strategy and help deliver solutions that automate workflows across bank operations. You will partner closely with researchers, engineers, designers, and business stakeholders to bring ideas from concept to launch. If you enjoy working at the intersection of product, AI, and complex operational systems, this role offers meaningful impact and strong growth opportunities.

As an AI Product Manager in the AI for Operations team, you will set product strategy and lead cross-functional teams building agentic AI pipelines and orchestrations to automate bank operations and workflows. You will translate user and business needs into actionable requirements and clear roadmaps. You will guide technical and non-technical decision-making from discovery through launch, helping teams deliver reliable, high-quality outcomes. You will also communicate progress and drive alignment with senior leaders across the organization.

Job Responsibilities

- Identify opportunities where AI can improve key business outcomes and operational performance
- Translate user and business needs into product strategy, priorities, and actionable requirements
- Own product roadmaps and write Product Requirements Documents (PRDs)
- Lead cross-functional teams of engineers, designers, analysts, and business stakeholders from concept through launch
- Drive day-to-day decisions across product, design, and engineering to deliver measurable outcomes
- Present product direction, progress, and trade-offs to leaders to gain alignment and buy-in

Required Qualifications, Capabilities, and Skills

- Bachelor’s degree or equivalent practical experience
- Demonstrated experience in product management or a related technical role
- Demonstrated experience operating in a strong product management culture
- Demonstrated ability to own the full product lifecycle, including product documentation and execution through launch
- Demonstrated ability to lead cross-functional teams through technical and non-technical decisions
- Working knowledge of large language model architectures and applied methods including prompting, context engineering, fine-tuning, retrieval-augmented generation, model context protocols, and agentic frameworks

Preferred Qualifications, Capabilities, and Skills

- Advanced degree in computer science, engineering, or a related field
- Experience defining robust evaluation sets and leading quantitative and qualitative evaluation cycles to improve quality and reliability
- Track record of delivering and launching successful products at scale
- Experience leading technology transformation for large digital operations
- Experience building products in highly complex, large-scale backend environments

We are transforming bank operations by applying the latest advancements in agentic AI and large language models to automate workflows, improve outcomes, and deliver impact at enterprise scale.