Capital One Manager Product Enterprise AI Agent Assist 

United States, Virginia, Arlington 

637001206

Center 1 (19052), United States of America, McLean, Virginia Manager, Product Manager, Enterprise AI, Agent Assist

Specific responsibilities include, but are not limited to:

• Develop and communicate the product vision and strategy for key components and features.

• Responsible direct ownership of products.

• Deeply understand the needs of data scientists, engineers and Capital One customers.

• Prioritize the product backlog to maximize business and customer outcomes.

• Incorporate design thinking and analytics to inform product design.

• Enable collaboration and ensure communication between teams.

• Maintain a healthy backlog of work and play a critical role in many agile ceremonies.

• Support the team with escalation and resolution of impediments.

• Serve as the connection between customers, Capital One’s mission, and your team.

We want you if you are:

• Passionate about building impactful products.

• You have expertise in, or are excited about, machine learning and the latest technologies in AI

• Already on your journey to Machine Learning and Generative AI fluency, even if via non work-related training, reading, and experimentation.

• You enjoy putting yourself in the shoes of customers. Even better if you have experience doing this with internal customers.

• You are a learner who is able to quickly get up to speed in a highly technical environment.

• You are experienced working in an Agile environment.

• You are a do-er who can also zoom out and think strategically.

• You have excellent oral and written communication skills.

• You are highly collaborative and have the ability to influence and lead.

Basic Qualifications:

• Bachelor’s Degree or military experience

• At least 3 years of experience in digital product management

Preferred Qualifications:

• MBA or advanced degree in science, engineering or related fields

• Knowledge of or demonstrated investment in learning about emerging machine learning methods, techniques, and applications

. 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.