Lead AI Product Manager, Private Markets

S&P Global•Charlottesville, VA

2d•$101,000 - $175,000

About The Position

The Lead AI Product Manager will own the vision, strategy, and execution for the MCP connector ecosystem and AI Analyst capabilities within S&P Global Market Intelligence’s flagship iLEVEL platform. The MCP ecosystem will enable seamless integration of private markets data and content sources. The role will lead zero-to-one product efforts, building and scaling new offerings that use agents, agentic workflows, and large language models to deliver value to clients. This is a hands-on, highly cross-functional role at the intersection of AI, customer-centric product development, and financial technology. The product manager will work closely with engineering, design, product, data science, marketing, and go-to-market teams. The Private Markets product organization supports the investment lifecycle across Private Equity, Venture Capital, Real Estate, Infrastructure, and Private Credit markets.

Requirements

Experience in FinTech, AI, or another technology-driven environment, with a track record of launching and scaling products.
Hands-on experience building AI products and applying AI technologies, including LLMs, agents, retrieval systems, and modern AI development tools.
Ability to develop deep domain expertise, simplify complex problems, and translate customer insights into impactful product strategies.
Strong product operations skills, including agile delivery, product requirements, data-driven decision-making, KPI management, and cross-functional execution.

Nice To Haves

Exceptional communication and collaboration skills, including the ability to align Product, Engineering, Design, and Go-to-Market teams around a shared vision.
Experience working in a Private Markets product team.

Responsibilities

Own the vision, strategy, and execution for the MCP connector ecosystem and AI Analyst capabilities within the iLEVEL platform.
Lead zero-to-one product initiatives, building and scaling new product offerings.
Apply agents, agentic workflows, LLMs, and other AI technologies to develop products that deliver value to clients.
Work cross-functionally with engineering, design, product, data science, marketing, and go-to-market teams to drive new AI products to success.
Develop product strategy by building domain expertise, simplifying complex problems, and translating insights into product outcomes.
Drive agile delivery, product requirements, data-driven decision-making, KPI management, and cross-functional execution.