Drimva

Capital One

Manager, Product Management,Card Intelligence Acquisitions Models

$165K–$205K

McLean, VA +1 · Manager · Full-time · Posted Sep 21, 2026

Location
McLean, VA
New York, NY
Experience
At least 3 years of Product Management experience is required only for candidates with a bachelor's degree in a field other than the listed quantitative fields, business, or marketing. The posting also values experience leading technology delivery, large technology transformation projects, big data projects, or delivering machine-learning solutions.
Education
Bachelor's or master's degree in a quantitative field (including related quantitative fields), business, or marketing; or a bachelor's degree in any field and at least 3 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 product management for machine-learning platforms and behavior and risk models that support credit-card customer acquisition.

What you'll do

  • Define platform, tool, and model requirements and drive production deployment, integration, adoption, and scaling of ML models.
  • Lead a cross-functional product pod with data science and technology teams, managing priorities and communicating with senior stakeholders.
  • Partner across business, data science, and engineering to reduce model delivery time and establish scalable architecture patterns.

What they ask for

  • Currently holds or is obtaining a qualifying degree, expected by the scheduled start date: a bachelor's or master's in a listed quantitative field, business, or marketing; alternatively, a bachelor's degree in any field plus at least 3 years of Product Management experience.

Nice to have

  • Experience translating business strategy and analysis into consumer-facing digital products.

Pay

$164,800 - $188,100 USD base salary (McLean, VA); $179,700 - $205,100 USD base salary (New York, NY)

Tools

Machine Learning (ML), Generative AI, AI

AI focus

Build and deploy machine-learning models and platforms for card customer acquisition; may investigate Generative AI model use cases.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)