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Director, Product Management – Enterprise AI/ML
Capital One. Lead a product team spanning Capital One's Machine Learning and AI platforms .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading product teams focused on AI and Machine Learning platforms, with a strong emphasis on Generative AI application development and user experience. Proven ability to drive product strategy, adoption, and organizational alignment in complex, data-intensive environments.
Highest-signal resume keywords
Product Management ExperienceAI/ML Technologies ExpertiseGenerative AI Application DevelopmentPublic Cloud Experience (AWS)People Leadership
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Product StrategyAI Risk ManagementData-Intensive Product DevelopmentTechnical Product ManagementUser Experience Design
Soft Skills
Cross-Functional Team LeadershipOrganizational Alignment
Tools & Technologies
KubernetesSparkRayLangChain
Industry Keywords
Machine LearningGenerative AIAutonomous Multi-Agent SystemsDigital ProductsBusiness Strategy
Tech Stack
Tools & technologiesAWSCloudKubernetesOpen SourceRaySpark
About the role
Key responsibilities & impact- Lead a product team spanning Capital One's Machine Learning and AI platforms
- Own capabilities enabling associates to train and serve models and Generative/Agentic AI applications
- Define Generative AI and ML Platform vision and strategy
- Continuously evolve AI/ML platforms while maintaining a high-quality user experience
- Partner with adjacent platform leaders to maintain a cohesive, integrated enterprise platform ecosystem
- Unlock business value and generate real-time, intelligent customer experiences
- Set product strategy and priorities based on technical understanding and user experience
- Drive adoption of Generative AI, including Agentic AI
- Lead cross-functional teams to solve customer problems and drive organizational alignment
Requirements
What you’ll need- Bachelor's degree in any field
- At least 5 years of Product Management experience
- Proven history of building products and experiences for data scientists and software developers
- Domain expertise in AI/ML technologies for Data Scientists
- Familiarity with emerging infrastructure and autonomous multi-agent systems for Generative AI application development
- Several years as a technical Product Manager and leader of a product management team
- Experience translating business strategy and analysis into consumer facing digital products
- 7+ years of experience within a large, data-intensive multi-line of business environment with significant complexity and scale
- 3+ years of experience in people leadership
- 5+ years of experience in innovative technology environments embracing public cloud (e.g., AWS) and open source technologies (e.g., Kubernetes, Spark, Ray, LangChain)
- 3+ years of experience building business-critical AI and Machine Learning products
- Experience in AI Risk Management
- Must not require new employment authorization sponsorship from Capital One
Benefits
Comp & perks- Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
- Comprehensive, competitive, and inclusive health, financial and other benefits supporting total well-being
- Reasonable accommodations for applicants who require them