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About the Role
Drive complex technical initiatives and pioneer AI/ML technology by developing creative solutions for business problems in a fast-paced, collaborative environment. Be part of a world-class group focused on solving real problems and meeting customer needs. This role is at the forefront of driving major technical transformations and scaling AI and ML capabilities.
Responsibilities
- Drive the end-to-end strategic roadmap for enterprise AI/ML platforms, ensuring modernization, scalability, and alignment with business growth priorities.
- Own executive communications on delivery status, program risk, and long-term architectural decisions to drive enterprise-wide technology alignment.
- Establish and scale TPM best practices, governance frameworks, and OKR-based performance models that are adopted across multiple domains.
- Influence investment prioritization and ensure platform decisions optimize for long-term agility, resilience, and cost efficiency.
- Mentor and develop TPM leaders, fostering a high-performance culture focused on technical excellence and delivery accountability.
- Collaborate with researchers, engineers, business leaders, and stakeholders to take AI initiatives from concept to production.
- Deliver high-reliability, real-time experiences for customers across credit card, retail banking, and auto finance lines of business.
Requirements
- Bachelor's degree in a technical field.
- At least 9 years of experience managing technical programs.
- 9+ years of experience in building distributed systems & highly available services using cloud computing services / architecture, preferably including AWS experience.
- 3+ years of experience with the AI/ML development lifecycle in a business-critical setting.
- 5+ years of building & leading engineering or TPM teams or impacting multiple organizations as an IC.
- Experience in building systems & solutions within a highly regulated environment.
- Ability to communicate complex technical concepts clearly to a variety of audiences.
- Industry impact through conference presentations, papers, blog posts, open source contributions, or patents.
Skills
- AI/ML
- Generative AI
- Agentic AI architectures
- Multi-agent conversational systems
- LLM inference
- ML model training, fine-tuning and monitoring
- Distributed systems
- Highly available services
- Cloud computing services / architecture
- AWS
Location
- Cambridge, MA
- McLean, VA
- New York, NY
- Plano, TX
- San Francisco, CA
- San Jose, CA
Work Type
- Full-time
Experience Level
- Senior Director
- 9+ years of experience managing technical programs
- 9+ years of experience in building distributed systems & highly available services
- 3+ years of experience with the AI/ML development lifecycle
- 5+ years of building & leading engineering or TPM teams
Education Level
- Bachelor's degree in a technical field
- Master’s Degree in a related technical field (Computer Science, Software Engineering)
Salary/Compensations
- Cambridge, MA: $269,600 - $307,700
- McLean, VA: $269,600 - $307,700
- New York, NY: $294,100 - $335,700
- Plano, TX: $245,100 - $279,800
- San Francisco, CA: $294,100 - $335,700
- San Jose, CA: $294,100 - $335,700
Benefits
- Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
- Eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI).
About the Company
- Capital One is a world-class group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs.
- Capital One Financial is made up of several different entities.
Equal Opportunity
- Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws.
- Capital One promotes a drug-free workplace.
- Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
- 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.