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Manager, Product Management, AI / ML Vendor Evaluations

Manager, Product Management, AI / ML Vendor Evaluations

Capital OneFalls Church, VA, US
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Manager, Product Management, Ai / Ml Vendor Evaluations

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. 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 AI revolution transforms our society and our industry.

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.

In this role, you will be accountable for building partnerships with the world's best vendors of AI tools and making their capabilities available to Capital One associates. You will shepherd the vendor capabilities from idea to enterprise-scale platform offering by : understanding business and user needs, identifying and evaluating best-in-class third-party products, navigating due diligence and onboarding, and integrating vendors into platform experiences.

The ideal candidate is passionate about AI technology and deeply empathizes with engineers and data scientists. They keep a finger on the pulse of modern data and modeling tools and the problems they solve. They are comfortable in conversation with software engineering and data science teams as well as non-technical stakeholders and senior leaders.

Product Managers take a holistic approach to creating value through applying human-centered design principles, deeply understanding the needs and opportunities in our business, fostering technological innovation, applying creativity to solve hard problems and embracing boundaryless leadership. Your expertise and insight will be integral to accelerating technology innovation and enabling better customer experiences at Capital One.

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

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
  • A Master's Degree in a 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
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    Product Manager • Falls Church, VA, US

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