Sr. Director Technical Program Management (AI/ML)

Capital One•San Jose, CA
•$245,100 - $335,700

About The Position

Capital One is seeking a Senior Director-level Technical Program Manager to drive its AI and ML platforms, which are central to the company’s real-time information strategy. The role operates at the intersection of generative AI research and enterprise-scale systems, with technologies spanning the end-to-end AI/ML lifecycle, including agentic AI architectures, multi-agent conversational systems, LLM inference, and ML model training, fine-tuning, and monitoring. The TPM will work with researchers, engineers, business leaders, and cross-functional stakeholders to bring AI initiatives from concept to production and deliver reliable, real-time customer experiences across credit card, retail banking, and auto finance. Alongside managing technical programs, this leader will help strengthen and expand the TPM discipline at Capital One by applying industry experience and developing organizational practices. The role includes setting strategic direction for enterprise AI/ML platforms, communicating program status and risks to executives, establishing governance and performance models, guiding investment priorities, and developing TPM leaders.

Requirements

  • Bachelor’s degree in a technical field.
  • At least 9 years of experience managing technical programs.

Nice To Haves

  • 9+ years of experience building distributed systems and highly available services using cloud computing services or architecture, preferably including AWS.
  • 3+ years of experience with the AI/ML development lifecycle in a business-critical setting.
  • 5+ years of building and leading engineering or TPM teams, or impacting multiple organizations as an individual contributor.
  • Experience building systems and solutions within a highly regulated environment.
  • Master’s degree in a related technical field, such as Computer Science or Software Engineering.
  • 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.

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 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.
  • Manage technical programs that take AI initiatives from concept to production in collaboration with researchers, engineers, business leaders, and cross-functional stakeholders.
  • Help strengthen the TPM discipline by teaching the organization what effective technical program management can achieve.

Benefits

  • Comprehensive health, financial, and other benefits supporting total well-being.
  • Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service