AI Product Lead - Investment Banking, Rapid Prototyping

Madison-Davis, LLC; New York (NY); On-site; USD 180,000 - 280,000; Full time

Job summary

Madison-Davis, LLC in New York seeks an AI Product Lead to bridge deep business understanding with hands-on technical execution in Investment Banking. This role goes beyond traditional PM, working with senior AI leadership to prototype AI-powered applications, validate business impact, and drive production adoption.

The ideal candidate has Investment Banking experience and hands-on capability building LLM-powered applications, with the ability to prototype across data integration, backend logic,

Qualifications

• Hands-on experience building LLM-powered applications beyond tutorials or basic prompt engineering.
• Strong communication skills across senior business and technical stakeholders.
• Ability to rapidly prototype across data integration, backend logic, and user-facing applications.

Responsibilities

• Identify high-friction Investment Banking workflows and translate them into practical AI opportunities.
• Design and build AI-powered tools supporting workflows such as pitch preparation, comparable-company analysis, diligence, document preparation, client research, and market surveillance.
• Own the early product lifecycle from opportunity identification and data sourcing through prototyping, validation, deployment, and adoption.
• Integrate LLM applications with financial-data platforms, APIs, internal databases, and enterprise systems.
• Develop context pipelines, evaluation approaches, guardrails, and agentic workflows.
• Partner closely with bankers, analysts, associates, engineers, security, legal, and other stakeholders.
• Evaluate opportunities based on feasibility, implementation cost, business value, risk, and expected ROI.
• Monitor adoption, usage, performance, time savings, and business outcomes for deployed solutions.

Job description

Madison-Davis, LLC in New York seeks an AI Product Lead to bridge deep business understanding with hands-on technical execution in Investment Banking. This role goes beyond traditional PM, working with senior AI leadership to prototype AI-powered applications, validate business impact, and drive production adoption.

The ideal candidate has Investment Banking experience and hands-on capability building LLM-powered applications, with the ability to prototype across data integration, backend logic,