About the Role
Your mission is to identify, validate, andlaunch AI-powered productsthat deliver step-function value to customers. You will translate research breakthroughs into viable products by deeply understanding the customer problem space and creating evaluations that blend quantitative metrics with the product sense needed to judge the quality, usability, and performance of generative AI experiences. You will lead high-performing, cross-functional teams of AI researchers, engineers, designers and communicate with extreme clarity to senior leaders.
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 -
Basic Qualifications:
At least 5 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
Built new products from the ground up in a "zero-to-one," agile environment.
Shipped products powered by LLMs, deep learning, or other foundation models from concept to launch.
Understand the end-to-end machine learning lifecycle (data collection to model deployment).
. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
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