AI-Driven Product Lead: Capital Management & Lending

Citigroup Inc.; New York (NY); On-site; USD 192,000 - 288,000; Full time

Job summary

Citi seeks a Product Lead, AI Product Engineering in New York to bridge product strategy with advanced AI across Capital Management and Lending tooling. You will guide a cross-functional team, shape the vision for AI-enabled credit risk, capital optimization, and client servicing, and deliver production-grade solutions for financial professionals.

The role demands 10+ years of product and engineering experience, strong AI/ML expertise, and leadership across stakeholders, with a focus on risk,

Qualifications

• 10+ years shipping products in product-centric roles.
• Hybrid product-management and engineering experience.
• Deep AI/ML methods for real-world problems; NLP/credit risk desirable.
• Strong domain knowledge of capital management and lending.
• Proven leadership and cross-functional team mentorship.
• Excellent communication with senior leaders.

Responsibilities

• Define the vision and strategy for AI tooling in Capital Management and Lending.
• Develop and prioritize the roadmap with epics and user stories.
• Lead a team of engineers; mentor and establish best practices.
• Bridge business needs with technical designs for growth.
• Prototype and validate ideas with proofs-of-concept for AI apps.
• Influence senior leaders to secure resources for the product.
• Ensure risk, compliance, and Basel III/IV considerations.

Skills

Product leadership

AI/ML expertise

Capital management

Lending

Leadership

Stakeholder management

Technical acumen

Education

Bachelor’s degree in Finance/CS

Master’s degree preferred

Job description

Citi seeks a Product Lead, AI Product Engineering in New York to bridge product strategy with advanced AI across Capital Management and Lending tooling. You will guide a cross-functional team, shape the vision for AI-enabled credit risk, capital optimization, and client servicing, and deliver production-grade solutions for financial professionals.

The role demands 10+ years of product and engineering experience, strong AI/ML expertise, and leadership across stakeholders, with a focus on risk,