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S&P Global

Lead AI Product Manager, Private Markets

S&P Global

. Own the vision, strategy, and execution for the MCP connector ecosystem and AI Analyst capabilities within the iLEVEL platform .

Posted 11/5/2026full-timeUnited StatesSenior💰 $101,000 - $175,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI product development, particularly with LLMs and agentic workflows, while effectively leading cross-functional teams to deliver innovative solutions in the private markets sector.

Highest-signal resume keywords
AI Product DevelopmentLLM ApplicationAgile DeliveryCross-Functional CollaborationPrivate Markets Experience

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Product StrategyData-Driven Decision-MakingKPI ManagementProduct OperationsIntegration of Private Markets Data
Soft Skills
Problem-SolvingSimplifying Complex ProblemsCommunication
Tools & Technologies
AI Development ToolsRetrieval Systems
Industry Keywords
FinTechPrivate MarketsProduct Lifecycle

Tech Stack

Tools & technologies
Go

About the role

Key responsibilities & impact
  • Own the vision, strategy, and execution for the MCP connector ecosystem and AI Analyst capabilities within the iLEVEL platform
  • Enable integration of private markets data and content sources
  • Lead zero-to-one product efforts and build and scale new product offerings
  • Leverage agents, agentic workflows, and LLMs to develop transformative products
  • Work closely with engineering, design, product, data science, marketing, and go-to-market teams
  • Drive new AI products to successful delivery and adoption
  • Support products across the private markets investment lifecycle

Requirements

What you’ll need
  • Experience in FinTech, AI, or other technology-driven environments, with a track record of launching and scaling products
  • Hands-on AI product-building experience applying LLMs, agents, retrieval systems, and modern AI development tools
  • Ability to develop domain expertise, simplify complex problems, and translate insights into product strategies
  • Product operations experience with agile delivery, product requirements, data-driven decision-making, KPI management, and cross-functional execution
  • Experience aligning Product, Engineering, Design, and Go-to-Market teams around a shared vision
  • Experience working in a Private Markets product team preferred
  • Indefinite right to work in the United States

Benefits

Comp & perks
  • Annual incentive plan
  • Health care coverage designed for the mind and body
  • Generous time off
  • Continuous learning resources and career development
  • Competitive pay
  • Retirement planning
  • Continuing education program with company-matched student loan contribution
  • Financial wellness programs
  • Family benefits and perks
  • Retail discounts
  • Referral incentive awards