Drimva

Capital One

Senior Associate, Product Management - US Card

$101K–$205K

McLean, VA +3 · Senior · Full-time · Posted Sep 25, 2026

Location
McLean, VA
Richmond, VA
Chicago, IL
New York, NY
Experience
At least 1 year in product management, or at least 1 year of experience in product design, agile delivery, business analysis, data science, or software engineering.
Education
Bachelor’s degree or military experience.
Visa sponsorship
Capital One will not sponsor a new applicant for employment authorization for this position.

About the job

Own product strategy and delivery for US Card platforms and data capabilities that support customer servicing, recoveries, payments, disputes, and related experiences.

What you'll do

  • Partner with Technology, Data Engineering, and cross-functional teams to modernize platforms, define roadmaps, and deliver customer outcomes.
  • Prioritize MVPs and backlogs, build business cases, and manage product features and roadmaps while following risk processes.
  • Collaborate on platform controls and AI-enabled servicing tools for agents and digital channels.

What they ask for

  • Bachelor’s degree or military experience.
  • At least 1 year of product management experience, or at least 1 year in product design, agile delivery, business analysis, data science, or software engineering.

Nice to have

  • Bachelor’s degree in computer science or engineering.
  • 1+ years translating business strategy or analysis into consumer-facing digital products; working on core product platforms; or serving as a product owner with cross-functional teams in an agile development process.

Pay

Chicago, IL: $101,100 - $115,400 (base salary); $149,800 - $171,000 (base salary); McLean, VA: $111,200 - $126,900 (base salary); $164,800 - $188,100 (base salary); New York, NY: $121,300 - $138,400 (base salary); $179,700 - $205,100 (base salary); Richmond, VA: $101,100 - $115,400 (base salary); $149,800 - $171,000 (base salary)

Tools

AI, MVP, agile

AI focus

Develop and scale AI-leveraged servicing knowledge and intelligent tools that help agents and digital channels assist customers.

Model-written summary · the original posting is authoritative

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