Senior Product Manager, AI-Driven Card Intelligence

Capital One; McLean (VA); On-site; USD 165,000 - 188,000; Full time

Job summary

Capital One is seeking a Manager, Product Management (PXDP50) in McLean, VA to drive AI-driven product initiatives within Card Intelligence. You will define problem statements, align stakeholders, and own three-year ML infrastructure roadmaps to deliver measurable business outcomes.

Collaborate with data scientists and engineers to translate strategy into consumer digital products, guide agile ceremonies, and ensure scalable model development with responsible execution.

Qualifications

• Bachelor's or Master's degree in a quantitative field or related business/marketing field by start date.
• 3+ years of product management experience if no quantitative degree.

Responsibilities

• Define clear and actionable problem statements to drive iterative software delivery.
• Use customer insights to shape priorities and align stakeholders on roadmaps.
• Own three-year ML infrastructure and model delivery roadmaps linked to business outcomes.
• Identify leverage points in complex systems and define success metrics with data.
• Balance risk and innovation while guiding design decisions with tech partners.
• Collaborate with technology teams on architecture for scalable solutions.
• Present strategy and roadmaps to Tech partners and facilitate agile ceremonies.
• Deliver reusable capabilities and spot opportunities when metrics dip.

Education

Bachelor's or Master's Degree in a quantitative field, Business or Marketing

Tools

ML infrastructure

MLOps

Software engineering

Job description

Capital One is seeking a Manager, Product Management (PXDP50) in McLean, VA to drive AI-driven product initiatives within Card Intelligence. You will define problem statements, align stakeholders, and own three-year ML infrastructure roadmaps to deliver measurable business outcomes.

Collaborate with data scientists and engineers to translate strategy into consumer digital products, guide agile ceremonies, and ensure scalable model development with responsible execution.