Sr. Director, Product Management - AI/ML Platform Intelligence

About the Team

• The Sr. Director, AI/ML Platform Intelligence will lead a product team spanning the Machine Learning and Generative AI platforms at Capital One.
• Responsible for the core platform services for AI/ML platform that powers mission critical business applications.
• Partner with technology, risk, security, and business teams to monitor platform performance, identify issues, and support resilience.
• Looking for a technical product leader with a proven history of building products and experiences for data scientists and software developers.
• Must have excellent familiarity with emerging infrastructure and tooling for AI/ML application developers.
• May have prior experience as a software engineer or data scientist with several years as a technical Product Manager and leader of product management teams.
• This leader will set the strategy and priorities grounded in technical understanding and user experience.
• Must be able to sit in the shoes of the user (data scientists and engineers) and measure the benefits of more powerful, faster capabilities and from a better developer experience.

Capital One Product Framework

• 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 9 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
• 5+ years of experience in people leadership
• 3+ years of experience in innovative technology environments that embrace public cloud and open source technologies
• 3+ years of experience building business-critical AI and Machine Learning products
• Experience with AI/ML technologies such as Kubernetes, Observability, Security, AI/ML Experiment Management, or Model Monitoring
• Experience in Gen AI Application Evaluation, MLOps, or AIOps

Additional Information

• Capital One will not sponsor a new applicant for employment authorization for this position.
• Salary ranges vary by location: Chicago, IL ($245,100 - $279,800), McLean, VA ($269,600 - $307,700), New York, NY ($294,100 - $335,700), San Francisco, CA ($294,100 - $335,700).
• Role is eligible for performance based incentive compensation, including cash bonuses and/or long term incentives.
• Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits.
• Equal opportunity employer committed to non-discrimination and drug-free workplace.
• Accommodations available for applicants with disabilities or requiring assistance during the application process.