Drimva

Capital One

Sr. Manager, Product Manager- AI Enablement- GPN

$201K–$250K

McLean, VA +1 · Manager · Full-time · Posted Oct 9, 2026

Location
McLean, VA
New York, NY
Experience
At least 4 years of Product Management experience is required only under the alternative of a bachelor's degree in any field.
Education
Bachelor's or Master’s Degree in a quantitative field, Business or Marketing; alternatively, a bachelor's degree in any field with at least 4 years of Product Management experience.
Visa sponsorship
Capital One will not sponsor a new applicant for employment authorization for this position.

About the job

Leads Global Payment Network’s AI use-case strategy and delivery pipeline, building shared knowledge infrastructure and scaling governed AI solutions from pilot to production.

What you'll do

  • Identify and prioritize AI use cases across Product, Tech, and Business, managing them from ideation through production.
  • Oversee the GPN Knowledge Base and Context Engine, coordinating requirements, documentation, and validated context across 15+ functions.
  • Track adoption and ROI, and create scalable playbooks to move use cases from pilot to business-as-usual.

What they ask for

  • Currently hold or be obtaining by the scheduled start date a bachelor’s or master’s degree in a quantitative field, Business, or Marketing; alternatively, a bachelor’s degree in any field plus at least 4 years of Product Management experience.

Nice to have

  • Experience building or scaling knowledge management systems, taxonomies, or data/content platforms across cross-functional stakeholders.
  • Experience with AI/ML or Generative AI product development, including use-case definition, prioritization frameworks, and adoption metrics.

Pay

$200,700 - $229,100 USD base salary; $219,000 - $249,900 USD base salary

Tools

Mainframe, Cloud, SharePoint, Google Drive, AI/ML, Generative AI

AI focus

Leads AI use-case strategy and prioritization, oversees knowledge and context infrastructure supporting agentic development and PRD-to-code mapping, and tracks adoption and ROI while maintaining human oversight and governance.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 6, 2026 (UTC)