About this role
Manager, Product Management - AI/ML
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.
About the Team
Enterprise AI/ML is powering real-time, intelligent banking by introducing new AI/ML capabilities and safely scaling business-led innovations. This horizontal platform team builds intelligence capabilities, spanning distributed compute technologies, control plane operations, and cost management, directly engaging with users of Capital One's largest AI & ML platforms to understand and solve complex technical and operational challenges. We drive transformative solutions in partnership with engineering, risk, security, and business teams to ensure that rigorous governance, security, resiliency, and availability requirements are met. We are seeking a Technical Product Leader with a proven history of building exceptional products and experiences for technical users like data scientists, ML engineers, and software developers, who is capable of bringing a fresh, innovative perspective to influence and shape the platforms and tools that thousands of engineers use every day to deliver intelligent, personalized customer experiences.
Capital One Product Framework
In this role, you’ll be expected to demonstrate proficiency in five key areas which we consider to be the foundation for successful Product management:
Human Centered - Obsesses about internal and external customer needs to reimagine and innovate product solutions
Business Focused - Delivers game-changing outcomes by focusing on leverage and execution excellence
Technology Driven - Leverages technology to deliver innovative and resilient solutions that enable both near term and long term value
Integrated Problem Solving - Identifies and resolves complex problems to deliver outcomes while mitigating product risks
Transformational Leadership - Leads cross functional teams to solve customer problems and drive organizational alignment
Basic Qualifications:
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
A Bachelor's or Master’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field), Business or Marketing
OR
Bachelor's degree in any field and at least 3 years of Product Management experience
Preferred Qualifications:
Experience translating business strategy and analysis into consumer facing digital products
Experience exploring, prototyping, or implementing emerging technologies and AI automation tools (such as Gemini, Claude, Claude Code, or Google Apps Script)
Previous experience in an AI/ML product role
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.