Capital One Manager Product Management Machine Learning Tools 

United States, Virginia, Arlington 

899533594

Center 1 (19052), United States of America, McLean, Virginia Manager, Product Management, Machine Learning Tools

Specific responsibilities include, but are not limited to:

• Develop and communicate the product vision for key ML and Generative AI capabilities.

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

• Incorporate design thinking and analytics to inform product design.

• Facilitate collaboration and communication between teams.

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

• Keep the team unblocked by escalating road-blocks and fast-tracking resolutions.

• Serve as a critical connection between your customers and your team.

We want you if you are:

• Passionate about building impactful products.

• You deeply understand the needs of modern data scientists, machine learning engineers, and Generative AI practitioners.

• You have experience shipping products powered by ML or GenAI. Even better if you’ve worked directly on the development of models or LLMs.

• Naturally curious about the GenAI frontier. You’re familiar with emergent technologies like RAG, LangChain, Haystack, and GenAI Agents.

• You have excellent oral and written communication skills.

• 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 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 product management or at least 3 years of experience in product design, agile delivery, business analysis, data science, or software engineering

Preferred Qualifications:

• Bachelor’s Degree in Computer Science or Engineering

• MBA or Master’s degree

• 3+ years of experience in Agile product management

• Familiarity with Machine Learning lifecycle and Gen AI frontier

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

. 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.