Capital One
Manager, Product Management, Card Intelligence
$150K–$205K
McLean, VA +3 · Manager · Full-time · Posted Sep 9, 2026
- Location
- McLean, VA
Richmond, VA
Chicago, IL
New York, NY - Experience
- At least 3 years of Product Management experience is required only for candidates with a bachelor's degree in any field; alternatively, a qualifying degree is accepted.
- Education
- Bachelor's or master's degree in a quantitative field, Business, or Marketing; alternatively, bachelor's degree in any field with 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 ML infrastructure and model delivery capabilities that support customer engagement and acquisition in Capital One’s Card Intelligence team.
What you'll do
- Define product problems, priorities, success metrics, and roadmaps aligned to customer needs and business outcomes.
- Own and prioritize three-year ML infrastructure and model delivery roadmaps, partnering with data science, engineering, and technology teams.
- Drive cross-functional delivery, technical design decisions, agile ceremonies, and reusable capabilities while monitoring performance and product risks.
What they ask for
- Currently holds or is obtaining a bachelor's or master's degree in a quantitative field, Business, or Marketing; degree must be obtained by the scheduled start date.
- Alternatively, holds a bachelor's degree in any field and has at least 3 years of Product Management experience.
Nice to have
- Experience translating business strategy and analysis into consumer-facing digital products.
- Prior experience with data engineering problems and platforms, machine learning infrastructure, MLOps, or software engineering.
Pay
Chicago, IL: $149,800 - $171,000 USD base salary; McLean, VA: $164,800 - $188,100 USD base salary; New York, NY: $179,700 - $205,100 USD base salary; Richmond, VA: $149,800 - $171,000 USD base salary
Tools
ML, GenAI, MLOps
AI focus
Uses ML and GenAI to develop customer engagement and acquisition solutions, including ML infrastructure and model delivery capabilities.
Model-written summary · the original posting is authoritative