Capital One
Manager, Product Management, AI/ML Vendor Evaluations
Capital One, Mc Lean, Virginia, us, 22107
Product Management at Capital One is a booming, vibrant craft that requires finding value creation opportunities, and driving innovative and delightful customer experiences through technology.
About The Team At Capital One, we’re changing banking for good. We were founded on the belief that no one should be locked out of the financial system. We’re dedicated to helping foster a world where everyone has an equal opportunity to prosper. We’re a bank. But we don’t think like one. We’re always thinking about what’s next. About how we can innovate, inspire, and develop the tools our customers need to improve their financial lives. Machine Learning and Artificial Intelligence are at the heart of our approach. We provide millions of customers with individualized, real-time experiences, protection, and decisions driven by machine learning and advanced AI capabilities. Empowering Capital One AI and ML innovators, the Enterprise AI/ML organization provides the comprehensive platform, tools, and infrastructure necessary to deliver impactful machine learning models and cutting‑edge AI experiences. As part of Capital One’s Enterprise AI and Machine Learning Product organization, you will contribute directly to shaping the platforms and tools that thousands of engineers, data scientists and analysts across the business apply to making decisions, managing risk, detecting fraud, and delivering intelligent and personalized customer experiences.
Specific responsibilities include, but are not limited to:
Cultivate a thorough understanding of the problem space and key audiences related to Generative AI at Capital One, as well as the landscape of partner teams and related enterprise platforms, by working closely with customers as well as partners in product, tech, architecture and risk to inform strategy, prioritization and requirements definition
Develop and communicate a compelling vision through clear and concise presentations, documents and demos of your product’s developer experience, tailoring approaches to a range of audiences from technical users to internal and customer leadership teams
Make difficult trade‑off and prioritization decisions by working backwards from a customer need and quantifying the value or strategic benefits of your recommendations
Build and maintain partnerships with peers, customers and stakeholders that enable collaboration towards shared goals, leveraging strong influence skills to improve the overall enterprise ecosystem
Invest in support, training and documentation materials and processes that enable self‑service adoption for customers and effective contribution models with partners
Manage day‑to‑day execution across several tech teams, influencing roadmaps to deliver results for target users
Collect and analyze data to track progress, quantify impact and inform decisions
Capital One Product Framework
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 AI products
2+ years of experience in innovative technology environments that embrace public cloud and open source technologies
2+ years of experience building business‑critical AI and Machine Learning products
Familiarity with latest AI/ML technologies such Generative AI, Multi‑agentic systems, AI Safety, AIOps, AI Observability and Governance
Experience with vendor evaluations and selection
Equal Opportunity 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.
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About The Team At Capital One, we’re changing banking for good. We were founded on the belief that no one should be locked out of the financial system. We’re dedicated to helping foster a world where everyone has an equal opportunity to prosper. We’re a bank. But we don’t think like one. We’re always thinking about what’s next. About how we can innovate, inspire, and develop the tools our customers need to improve their financial lives. Machine Learning and Artificial Intelligence are at the heart of our approach. We provide millions of customers with individualized, real-time experiences, protection, and decisions driven by machine learning and advanced AI capabilities. Empowering Capital One AI and ML innovators, the Enterprise AI/ML organization provides the comprehensive platform, tools, and infrastructure necessary to deliver impactful machine learning models and cutting‑edge AI experiences. As part of Capital One’s Enterprise AI and Machine Learning Product organization, you will contribute directly to shaping the platforms and tools that thousands of engineers, data scientists and analysts across the business apply to making decisions, managing risk, detecting fraud, and delivering intelligent and personalized customer experiences.
Specific responsibilities include, but are not limited to:
Cultivate a thorough understanding of the problem space and key audiences related to Generative AI at Capital One, as well as the landscape of partner teams and related enterprise platforms, by working closely with customers as well as partners in product, tech, architecture and risk to inform strategy, prioritization and requirements definition
Develop and communicate a compelling vision through clear and concise presentations, documents and demos of your product’s developer experience, tailoring approaches to a range of audiences from technical users to internal and customer leadership teams
Make difficult trade‑off and prioritization decisions by working backwards from a customer need and quantifying the value or strategic benefits of your recommendations
Build and maintain partnerships with peers, customers and stakeholders that enable collaboration towards shared goals, leveraging strong influence skills to improve the overall enterprise ecosystem
Invest in support, training and documentation materials and processes that enable self‑service adoption for customers and effective contribution models with partners
Manage day‑to‑day execution across several tech teams, influencing roadmaps to deliver results for target users
Collect and analyze data to track progress, quantify impact and inform decisions
Capital One Product Framework
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 AI products
2+ years of experience in innovative technology environments that embrace public cloud and open source technologies
2+ years of experience building business‑critical AI and Machine Learning products
Familiarity with latest AI/ML technologies such Generative AI, Multi‑agentic systems, AI Safety, AIOps, AI Observability and Governance
Experience with vendor evaluations and selection
Equal Opportunity 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.
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