Director, Product Management - Enterprise Ai/ml

Capital One Capital One · Banking · McLean, VA +3

Director of Product Management to lead a team focused on Machine Learning and AI platforms, enabling associates to train and serve Models and Generative/Agentic AI applications. Requires deep technical product leadership experience with data scientists and software developers, familiarity with emerging infrastructure and autonomous multi-agent systems for Generative AI.

What you'd actually do

  1. Define Generative AI and ML Platform vision and strategy
  2. Continuously evolve the platforms of industry-leading AI/ML capabilities while maintaining a pristine user experience for our highly talented innovators
  3. Partner strategically with adjacent platform leaders to maintain a cohesive and integrated enterprise platform ecosystem that adapts to a changing world
  4. Unlock game-changing value across the business, while generating real-time, intelligent experiences for our customers

Skills

Required

  • Product Management experience
  • Translating business strategy and analysis into consumer facing digital products
  • Experience in innovative technology environments that embrace public cloud (e.g., AWS) and open source technologies (e.g. Kubernetes, Spark, Ray, LangChain)
  • Experience building business-critical AI and Machine Learning products
  • Experience in AI Risk Management

Nice to have

  • people leadership
  • experience as an engineer or data scientist

What the JD emphasized

  • deeply technical product leader
  • proven history of building products and experiences for data scientists and software developers
  • deep domain expertise in AI/ML technologies for Data Scientists
  • familiarity with emerging infrastructure and autonomous multi-agent systems for Generative AI application development
  • prior experience as an engineer or data scientist
  • several years as a technical Product Manager and leader of a product management team
  • sit in the shoes of the user (data scientists and engineers)
  • drive adoption of Generative AI (including Agentic AI)
  • building business-critical AI and Machine Learning products
  • Experience in AI Risk Management

Other signals

  • leading a product team
  • defining strategy and priorities
  • building products and experiences for data scientists and software developers
  • driving adoption of Generative AI (including Agentic AI)