Drimva

Capital One

Senior Manager, Product Management - Cloud Operations Resilience Engineering (CORE)

$182K–$250K

McLean, VA +3 · Manager · Full-time · Posted Oct 23, 2026

Location
McLean, VA
Richmond, VA
New York, NY
Plano, TX
Experience
4 years of Product Management experience is required as an alternative to the specified degree fields.
Education
A Bachelor's or Master’s Degree in a quantitative field, Business or Marketing; or a bachelor's degree in any field and 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 product management for a cloud operations platform that automates provisioning, security, scaling, and maintenance of infrastructure across Capital One.

What you'll do

  • Set product direction for cloud operations resilience engineering and platform capabilities across areas such as connectivity, managed infrastructure, and cloud resource automation.
  • Translate customer needs and business priorities into technology solutions, while managing product risks and execution.
  • Lead cross-functional teams and align engineering stakeholders around platform outcomes.

What they ask for

  • Currently has, or is obtaining by the start date, a bachelor's or master's degree in a quantitative field, Business, or Marketing; alternatively, a bachelor's degree in any field and 4 years of Product Management experience.

Nice to have

  • Experience translating business strategy and analysis into consumer-facing digital products.
  • Ability to onboard rapidly into new technical domains and establish technical credibility with senior engineering stakeholders; experience with cross-system API architecture or complex compute portfolio management at scale.

Pay

$200,700 - $229,100 USD base salary (McLean, VA); $219,000 - $249,900 USD base salary (New York, NY); $182,500 - $208,300 USD base salary (Plano, TX); $182,500 - $208,300 USD base salary (Richmond, VA)

Tools

cloud, AI, API

AI focus

Pioneering AI-driven operations to eliminate manual toil from infrastructure lifecycle management.

Model-written summary · the original posting is authoritative

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