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 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 maintaining the infrastructure that powers the AI/ML platforms across Capital One. You will act as the champion for system reliability, performance, and operational efficiency. You’ll identify opportunities for standardization, automation, and innovation in infrastructure and tooling to ensure scalable and resilient solutions for the enterprise.
Responsibilities
- Cultivate a thorough understanding of the problem space and key audiences related to modeling at Capital One.
- Develop and communicate a compelling vision through clear and concise presentations, documents and demos of your product’s developer experience.
- Make difficult trade-off and prioritization decisions by working backwards from a customer need.
- Build and maintain partnerships with peers, customers and stakeholders that enable collaboration towards shared goals.
- Invest in support, training and documentation materials and processes that enable self-service adoption for customers.
- 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.
Requirements
- At least 3 years of experience working in Product Management.
- Currently has, or is in the process of obtaining a Bachelor's or Master's Degree in a quantitative field or an MBA with a quantitative concentration.
Nice-to-haves
- Experience translating business strategy and analysis into consumer facing digital products.
Benefits
- Comprehensive health benefits.
- Financial benefits including performance-based incentives.
- Inclusive set of benefits that support total well-being.
