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  1. Home
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  5. Manager, Product Management - Enterprise AI/ML
Capital One logo

Manager, Product Management - Enterprise AI/ML

Not Disclosed•Full-TimeOn-site

location_onNYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, United States

Apply Now

About the Team

Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry.

This team powers real-time, intelligent banking by safely introducing, scaling, and operationalizing new Artificial Intelligence and Machine Learning capabilities across the business.

Work location

Work model: On-site

location_on

NYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, United States

New York, New York

Key Responsibilities

  • check_circleDeliver game-changing outcomes by focusing on leverage and execution excellence
  • check_circleManage product backlog and work within an Agile environment
  • check_circleDrive innovative and sustainable customer experiences through technology
  • check_circleIdentify and resolve complex problems to deliver outcomes while mitigating product risks
  • check_circleLead cross-functional teams to solve customer problems and drive organizational alignment
  • check_circleOperationalize new Artificial Intelligence and Machine Learning capabilities across the business
  • check_circleReimagine and innovate product solutions by obsessing over internal and external customer needs

Requirements

  • verified3+ years Product Management experience
  • verifiedBachelor's or Master's degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems) or MBA with quantitative concentration
  • verifiedWork authorization in US (no sponsorship provided)

Nice to Have

Experience in product management for technical platforms (data science or Machine Learning preferred), MLOps, or internal developer tools. Familiarity with cloud computing environments (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Kubernetes). Demonstrated experience working in an Agile environment and managing a product backlog.

Benefits & Perks

check_circlePerformance-based incentive compensation including cash bonuses and/or long term incentives
Capital One logo
Company

Capital One

Industry

it

View company profilearrow_forwardlanguageWebsite
Quick Overview

Experience

3+ yrs (Mid Level)

Education

Bachelor's Degree in a quantitative field required

Job Type

Full-Time

Skills Required

Artificial IntelligenceMachine LearningMlopsAwsGCPAzureKubernetesAgile

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Skills, education and keywords

Skills: Artificial Intelligence, Machine Learning, Mlops, Aws, GCP, Azure, Kubernetes, Agile.

Education: Bachelor's Degree in a quantitative field required; Master's Degree in a quantitative field or MBA with quantitative concentration required.

Frequently asked questions about Manager, Product Management - Enterprise AI/ML at Capital One

What does a Manager, Product Management - Enterprise AI/ML at Capital One do?expand_more
In this Manager, Product Management - Enterprise AI/ML at Capital One role, you will deliver game-changing outcomes by focusing on leverage and execution excellence; manage product backlog and work within an agile environment; drive innovative and sustainable customer experiences through technology; and identify and resolve complex problems to deliver outcomes while mitigating product risks.
What are the requirements for this Manager, Product Management - Enterprise AI/ML role?expand_more
To qualify for the Manager, Product Management - Enterprise AI/ML at Capital One position, applicants should have: 3+ years Product Management experience; Bachelor's or Master's degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems) or MBA with quantitative concentration; and Work authorization in US (no sponsorship provided).
Where is the Manager, Product Management - Enterprise AI/ML role at Capital One located?expand_more
Manager, Product Management - Enterprise AI/ML at Capital One is based in NYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, United States. This is a on-site role.
Is this Manager, Product Management - Enterprise AI/ML job remote, hybrid, or on-site?expand_more
Capital One has listed this Manager, Product Management - Enterprise AI/ML role as on-site.
How much experience is required for this Manager, Product Management - Enterprise AI/ML role?expand_more
Manager, Product Management - Enterprise AI/ML at Capital One typically requires 3+ years of relevant experience at the mid level level.
What skills do you need for the Manager, Product Management - Enterprise AI/ML role at Capital One?expand_more
Key skills for Manager, Product Management - Enterprise AI/ML at Capital One include Artificial Intelligence; Machine Learning; Mlops; Aws; GCP; Azure; Kubernetes; and Agile.
What education is required for Manager, Product Management - Enterprise AI/ML at Capital One?expand_more
Educational requirements for this role: Bachelor's Degree in a quantitative field required; and Master's Degree in a quantitative field or MBA with quantitative concentration required.
What category does the Manager, Product Management - Enterprise AI/ML role belong to?expand_more
Manager, Product Management - Enterprise AI/ML at Capital One is part of the it job category on Recrutus.
Recrutus

Curating the world's most innovative career opportunities. We bridge the gap between visionary talent and industry-leading companies.

Search roles by city, category, skill, or job type — explore verified US employers, salary benchmarks, and remote-friendly teams hiring nationwide.

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Job seekers
Browse jobsCompanies hiringRemote jobsJobs by locationJobs by cityJobs by categoryJobs by skillCareer guidesCareer blogSalary insights
Job types
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Top states
Jobs in TexasJobs in CaliforniaJobs in New YorkJobs in FloridaJobs in North CarolinaJobs in OhioAll states →
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Healthcare & Nursing jobsLogistics & Warehouse jobsEngineering jobsIT jobsSales jobsHospitality & Catering jobsAccounting & Finance jobs
Popular skills
CDL-A jobsExcel jobsEnglish jobsMicrosoft Office jobs
Featured employers
Company
About usFAQContactPrivacy policy

Recrutus helps candidates discover roles that match their skills and helps teams reach qualified applicants faster. Browse by metro, discipline, or work style — from internships to senior leadership.

© 2026 Recrutus. All rights reserved.
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US privacy notice
Accessibility