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Manager, Product Management - AI Strategy & Enablement; Business Cards & Payments

Job in Richmond, Henrico County, Virginia, 23214, USA
Listing for: Capital One
Full Time position
Listed on 2026-06-18
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Scientist, Data Science Manager
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below
Position: Manager, Product Management - AI Strategy & Enablement (Business Cards & Payments)

Overview

Manager, Product Management - AI Strategy & Enablement (Business Cards & Payments)

Manager, Product Management (PXDP
50)

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.

The

Team

The Business Cards & Payments (BC&P) organization is committed to fueling the courageous entrepreneurial spirit that7s at the heart of America7s business owners. We offer financial products and services for small business owners through corporate clients, with the goal to pave the path for them to do more business. We7ve built an organization that is focused on listening to and learning from the millions of customers we serve to make sure our products, services, and experiences work as hard as they do.

Within BC&P, the AI Strategy & Enablement team is laying the foundation for us to become an AI-native organization.

The Role

We are seeking a Manager-level Product Manager to execute our technical AI vision. Reporting directly to the Head of AI Strategy & Enablement, you will help scale AI use cases, data infrastructure, development velocity, and knowledge governance across the organization.

Responsibilities
  • Design Agentic Workflows & Written Evals: Architect complex agentic workflows and conduct rigorous written evaluations of LLM models and prompts to ensure high-quality, reliable outputs.

  • Possess Outcome-Driven Autonomy: Translate strategic outcomes into technical architecture and drive them to completion independently.

  • Practice Extreme Ownership: Anticipate roadblocks, rigorously manage dependencies, and maintain a bias for action.

  • Apply Systems-Level Thinking: Build scalable, agentic-first architectures for a future-proofed data layer.

  • Maintain Cutting-Edge AI Proficiency: Continuously research and experiment with evolving AI/LLM models and frameworks.

  • Execute with Strategic Pragmatism: Connect AI advancements directly to business goals with clear technical ROI.

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
  • 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

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

At this time, Capital One will not sponsor a new applicant for employment authorization for this position

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please…

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