Manager, Product Management- Gen AI Infrastructure & Analytics

Capital One • McLean, VA

2d • $149,800 - $205,100

About The Position

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. As a Product Manager at Capital One, you will lead the technical strategy for the next generation of AI analytics within our quality assurance platform. You will act as the technical bridge between business strategy and execution, partnering with Generative AI engineering and AI operations teams to orchestrate, govern, and scale from pilot to production. By optimizing data flows and backend performance, you will transform batch-processed transcripts into high-value enterprise insights. Your role involves navigating complex architectural requirements to move pilots into robust production environments, coordinating tech teams to architect automated workflows that balance compute performance with sustainable unit economics. 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

Requirements

• At least 3 years of experience working in Product Management
• 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 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) A 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) or an MBA with a quantitative concentration

Nice To Haves

• Experience translating business strategy and analysis into consumer facing digital products

Responsibilities

• Lead the technical strategy for the next generation of AI analytics within our quality assurance platform.
• Act as the technical bridge between business strategy and execution
• Partner with Generative AI engineering and AI operations teams to orchestrate, govern, and scale from pilot to production.
• Optimize data flows and backend performance
• Transform batch-processed transcripts into high-value enterprise insights.
• Navigate complex architectural requirements to move pilots into robust production environments
• Coordinate tech teams to architect automated workflows that balance compute performance with sustainable unit economics.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Number of Employees: 5,001-10,000 employees