Capital One

Human Resources

• Influence the future talent strategy of Capital One’s AI organizations
• Orchestrate an HR roadmap to scale AI/ML and build the organizational structure of the future
• Lead organizational design and talent strategy for the LOB Applied AI organization
• Develop a sustainable, aligned leadership team across AI, ML, AI/ML Product, and LOB Applied AI
• Partner with recruiting, compensation, business leaders, and HR to drive hiring strategy for scarce AI engineering and research roles
• Consult with senior executives, HR business partners, and HR partner groups to deliver aligned HR strategy
• Translate business strategy into talent strategy and reinforce an equitable associate culture
• Define talent strategy, conduct strategic workforce and succession planning, and develop recruiting and retention strategies
• Assess human capital risks, skills gaps, employment practice risks, and remediation strategies
• Provide executive coaching and advice on leadership, teamwork, organizational design, and strategy
• Lead enterprise-wide HR projects and create systemic solutions to HR challenges
• Measure HR strategy and program effectiveness using data-driven insights
• Lead and develop the HR team and partners through vision, prioritization, coaching, and development
• Oversee scaling of the Applied AI organization for 800 current FTEs and 400 projected hires
• Drive specialized talent management processes for AI-centric job families
• Operationalize the 2026 AI/ML framework and map talent to LOB goals
• Build out a novel organization while managing ambiguity and influencing undefined outcomes
• Implement hiring strategies to mitigate competitive risks, high cost-to-hire, and talent scarcity

Senior Director, HR Business Partner – Tech

Product Designer

• Join Capital One’s Premium Design - Rewards team within the Experience Design organization
• Co-create innovative solutions to complex problems
• Drive product strategy and contribute to a thriving team culture of high-performing designers
• Leverage interaction, visual and service design expertise to elevate the design practice
• Help oversee and optimize tools, platforms, frameworks and design systems with cross-functional partners
• Develop artifacts including vision stories, journey maps, blueprints, high-fidelity designs and prototypes
• Lead, mentor and consult with designers to mature the design discipline and culture
• Shape product direction and outcomes using content design expertise, user insights and business understanding
• Drive alignment across product, technology and business partners
• Advocate for human-centered methodologies using data, research insights and design expertise
• Manage and shape the design portfolio based on products, processes, customers, competitors and market trends
• Own problem-solving approaches and balance competing interests and priorities
• Engage organizational partners to support workstream projects and deliver results
• Present work across levels and job functions, integrating design frameworks, data and research insights

Senior Product Designer

Full-stack Engineer

• Lead a portfolio of diverse technology projects and a team of developers with experience in distributed microservices and full-stack systems
• Create solutions that meet the company's regulatory needs
• Stay current with technology trends, experiment with and learn new technologies, and participate in internal and external technology communities
• Mentor members of the engineering community
• Collaborate with digital product managers to deliver robust cloud-based solutions
• Use programming languages, databases, container orchestration services, and AWS tools and services
• Provide technical leadership and direction across Agile teams
• Set standards for design, development, and operational excellence
• Partner with architects to define service boundaries, integration patterns, and reusable frameworks
• Identify areas for improvement, implement targeted refactoring, reduce technical debt, and enhance system performance
• Influence long-term technology strategy through evaluation of emerging tools and practices in a 'you build it, you own it' environment

Full-stack Engineer 4, Cyber

Data Engineer

• Collaborate with Agile teams to design, develop, test, implement, and support technical solutions
• Influence developers, data analysts, and data scientists across machine learning, distributed microservices, lakehouse architecture, and full-stack systems
• Use Python and Spark, open-source relational and NoSQL databases, and cloud data warehousing platforms including Databricks and Snowflake
• Stay current with data trends, experiment with new technologies, participate in technology communities, and mentor data community members
• Collaborate with product managers and software engineers to deliver cloud-first data solutions
• Independently design, build, and deliver cloud data solutions and applications
• Architect and enforce reusable data engineering design patterns
• Communicate technical concepts and data outcomes to internal and external stakeholders
• Design and build scalable, resilient, and operationally efficient data pipelines and platforms
• Mentor peers and junior engineers while contributing hands-on technical innovation
• Lead large-scale data initiatives end to end, making architectural decisions and evaluating platforms such as Snowflake and Databricks

• Lead a portfolio of diverse technology projects and a team of developers with experience in distributed microservices and full-stack systems
• Create solutions that meet regulatory needs
• Stay current with technology trends, experiment with and learn new technologies, and participate in internal and external technology communities
• Mentor members of the engineering community
• Collaborate with digital product managers to deliver robust cloud-based solutions supporting financial empowerment
• Use Java, Scala, Python, Go, Node.js, JavaScript, TypeScript, open-source relational and NoSQL databases, Docker, Kubernetes, and AWS tools and services
• Provide technical leadership and direction across Agile teams
• Set standards for design, development, and operational excellence
• Partner with architects to define service boundaries, integration patterns, and reusable frameworks
• Identify improvement opportunities, implement targeted refactoring, reduce technical debt, and enhance system performance
• Influence long-term technology strategy through evaluation of emerging tools and practices in a 'you build it, you own it' environment

• Lead a portfolio of diverse technology projects and a team of developers with distributed microservices and full-stack systems experience
• Build solutions that meet Capital One's regulatory needs
• Stay current with technology trends, experiment with and learn new technologies, and participate in internal and external technology communities
• Mentor members of the engineering community
• Collaborate with digital product managers to deliver robust cloud-based solutions supporting millions of Americans
• Use Java, Scala, Python, Go, Node.js, JavaScript, TypeScript, open-source RDBMS and NoSQL databases, Docker, Kubernetes, and AWS tools and services
• Provide technical leadership across multiple teams and shape system architecture and long-term technology direction
• Design and implement large-scale, distributed, or cloud-native systems with high reliability and performance requirements
• Partner with architects and product leaders to define platform roadmaps and shared-services strategy

Full-stack Engineer 5, Cyber

• Collaborate with Agile teams to design, develop, test, implement, and support technical solutions
• Influence developers, data analysts, and data scientists across machine learning, distributed microservices, lakehouse architecture, and full-stack systems
• Use Python and Spark, open-source relational and NoSQL databases, and cloud-based data warehousing platforms including Databricks and Snowflake
• Stay current with data trends, experiment with new technologies, participate in technology communities, and mentor data community members
• Collaborate with product managers and software engineers to deliver cloud-first data solutions
• Independently design, build, and deliver cloud data solutions and applications
• Architect and enforce common data engineering design patterns across data platforms and pipelines
• Communicate technical concepts and data outcomes to internal and external stakeholders
• Design and build scalable, resilient, and operationally efficient data pipelines and platforms
• Implement data security standards including encryption and fine-grained access control

• Reimagine the status quo and identify value creation opportunities
• Drive innovative and sustainable customer experiences through technology
• Enable multi-user experiences through investment in backend architecture and the data ecosystem
• Connect new services throughout the Bank to unlock relationship possibilities
• Build and support adoption of scalable data tools and products
• Work with product managers, designers, engineers, data scientists, and analysts to redefine how customers interact with their money
• Demonstrate human-centered, business-focused, technology-driven, integrated problem-solving, and transformational leadership

Senior Manager, Product Manager – Multi-User Experiences

• Lead a portfolio of diverse technology projects and a team of developers specializing in distributed microservices and full-stack systems
• Build and deploy proprietary risk-management solutions powered by state-of-the-art AI technology
• Stay current with technology trends, experiment with and learn new technologies, participate in technology communities, and mentor engineers
• Collaborate with digital product managers to deliver robust cloud-based solutions supporting financial empowerment for millions of Americans
• Use Java, Scala, Python, Go, Node.js, JavaScript, TypeScript, open-source relational and NoSQL databases, Docker, Kubernetes, and AWS tools and services
• Provide technical leadership across Agile teams and set standards for design, development, and operational excellence
• Partner with architects to define service boundaries, integration patterns, and reusable frameworks
• Identify improvement opportunities, perform targeted refactoring, reduce technical debt, and enhance system performance
• Influence long-term technology strategy through evaluation of emerging tools and practices in a you-build-it-you-own-it environment

Full-Stack Engineer 4, Nodejs, Angularjs, Java

Sales

• Lead, coach, and empower an elite team of Account Managers to exceed revenue targets and optimize campaign performance
• Direct-manage a flagship portfolio of enterprise accounts and unlock high-dollar ad spend and long-term business value
• Target, engage, and negotiate with executive decision-makers
• Design tailored, high-performing ad campaigns with merchants
• Execute seamless technical integrations using APIs and proprietary ad platforms
• Leverage transaction insights, audience data, and campaign performance metrics to optimize client ROI and identify revenue opportunities
• Collaborate with Product, Revenue Management, and Tech teams to inform product roadmaps and monetize new ad inventory
• Elevate ad tech solutions based on market demand
• Accelerate pipeline growth and represent Capital One Ad Solutions at major industry events
• Lead high-stakes executive pitch presentations

Senior Director, Client Development, Ad Sales

• Lead a portfolio of diverse technology projects and a team of developers with experience in distributed microservices and full-stack systems
• Create solutions that meet regulatory needs for the company
• Stay current with technology trends, experiment with and learn new technologies, and participate in internal and external technology communities
• Mentor members of the engineering community
• Collaborate with digital product managers to deliver robust cloud-based solutions serving millions of Americans
• Use Java, Scala, Python, Go, Node.js, JavaScript, TypeScript, open-source RDBMS and NoSQL databases, Docker, Kubernetes, and AWS tools and services
• Provide technical leadership and direction across Agile teams
• Set standards for design, development, and operational excellence
• Partner with architects to define service boundaries, integration patterns, and reusable frameworks
• Identify areas for improvement through targeted refactoring
• Reduce technical debt and enhance system performance
• Influence long-term technology strategy by evaluating emerging tools and practices in a “you build it, you own it” environment

• Articulate and evangelize a bold technical vision for the domain
• Decompose complex problems into practical, operational solutions
• Ensure the quality of technical design and implementation
• Serve as an authoritative expert on performance, scalability, and operability
• Continue learning and inject advanced technical knowledge into the community
• Handle multiple projects while balancing time to maximize impact
• Mentor engineers and strengthen technical expertise across engineering and product communities
• Modernize monolithic systems into microservice architectures and event-driven platforms
• Collaborate with senior engineering and architecture leaders on long-term platform strategy and API standards
• Balance hands-on technical contribution and innovation with mentoring and elevating peers and junior engineers
• Lead cross-divisional projects promoting technological best practices and enhancements
• Ship production-ready code and mentor a team of AI-native builders
• Own technical benchmarks and leverage agentic development tools through rigorous, spec-driven design
• Attract top-tier talent and ensure AI-generated output is flawless, secure, and scalable

Staff Software Engineer – Card Tech

• Lead a portfolio of diverse technology projects and a team of developers building distributed microservices and full-stack systems that meet regulatory needs
• Stay current with technology trends, experiment with and learn new technologies, and participate in internal and external technology communities
• Mentor members of the engineering community
• Collaborate with digital product managers to deliver robust cloud-based solutions serving millions of Americans
• Use Java, Scala, Python, Go, Node.js, JavaScript, TypeScript, open-source RDBMS and NoSQL databases, Docker, Kubernetes, and AWS tools and services
• Provide technical leadership across multiple teams and shape system architecture and long-term technology direction
• Design and implement large-scale, distributed, or cloud-native systems with high reliability and performance requirements
• Partner with architects and product leaders to define platform roadmaps and shared-services strategy

Full-stack Engineer 5 – Senior Manager, IC – Go, React, AWS

• Lead a portfolio of diverse technology projects and a team of developers building distributed microservices and full-stack systems that meet regulatory needs
• Stay current with technology trends, experiment with and learn new technologies, participate in internal and external technology communities, and mentor engineering community members
• Collaborate with digital product managers to deliver robust cloud-based solutions that help millions of Americans achieve financial empowerment
• Use programming languages, open-source relational and NoSQL databases, container orchestration services, and AWS tools and services
• Provide technical leadership across multiple teams and shape system architecture and long-term technology direction
• Drive end-to-end design and implementation of large-scale, distributed, or cloud-native systems with high reliability and performance requirements
• Partner with architects and product leaders to define platform roadmaps and shared-services strategy

• Collaborate across Agile teams to design, develop, test, implement, and support technical solutions
• Influence developers, data analysts, and data scientists across machine learning, distributed microservices, lakehouse architecture, and full-stack systems
• Use Python and Spark, relational and NoSQL databases, Databricks, and Snowflake
• Design, build, and deliver cloud data solutions and applications independently
• Architect and enforce reusable data engineering design patterns
• Communicate technical concepts and data outcomes to internal and external stakeholders
• Design and build scalable, resilient, and operationally efficient data pipelines and platforms
• Implement data security standards, encryption, and fine-grained access controls
• Mentor members of the data community and participate in technology communities