Capital One

AI Engineer

• Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products
• Design, develop, test, deploy, and support AI software components including foundation model training, LLM inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability
• Leverage Open Source and SaaS AI technologies such as AWS Ultraclusters, Hugging Face, VectorDBs, and PyTorch
• Invent and introduce foundation model optimization techniques to improve scalability, cost, latency, and throughput of production AI systems
• Contribute to the technical vision and long-term roadmap of foundational AI systems
• Own end-to-end architecture for complex AI systems, ensuring maintainability, observability, and ethical alignment
• Define and maintain service-level objectives for AI reliability, including latency, uptime, and model performance drift
• Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines
• Lead technical reviews for AI system deployments, ensuring security, data governance, and compliance standards
• Mentor Principal and Senior Associates on scalable design, performance tuning, and research-to-production translation

AI Engineer 4, LLM Gateway, FM Hosting

Product Manager

• Reimagine the status quo and identify value-creation opportunities
• Drive innovative and sustainable customer experiences through technology
• Modernize how the Bank Product organization works, learns, and delivers value
• Use rapid experimentation and data-driven discovery to turn strategy into measurable customer impact
• Demonstrate human-centered product management focused on internal and external customer needs
• Deliver business outcomes through leverage and execution excellence
• Leverage technology to deliver innovative and resilient solutions
• Identify and resolve complex problems while mitigating product risks
• Lead cross-functional teams to solve customer problems and drive organizational alignment
• Own end-to-end product strategy and execution within a fast-moving technology corporation

Senior Director, Product Management, Retail Bank

Technical Program Manager

• Lead programs delivering critical business goals and large-scale products and platforms
• Contribute to the organization’s TPM and delivery strategy by establishing operating mechanisms, maturity models, and scalable tooling
• Drive development and alignment of program roadmaps anchored in business objectives, definitions of done, technical solutions, and dependency sequencing
• Lead cross-platform technical investment planning and ensure architectural alignment toward long-term platform convergence and reuse
• Serve as an executive-level escalation point for program risks
• Influence technology leaders to make data-driven tradeoffs between speed, cost, and resiliency
• Define measurable platform success outcomes, including availability, scalability, cost efficiency, and developer velocity
• Ensure delivery accountability across multiple engineering teams
• Help establish and expand the TPM discipline within the team
• Leverage industry knowledge and experience to teach the organization what effective TPM can achieve

Director, Technical Program Manager – Card Tech

• Lead a top-priority technical program for Digital Commerce & Innovation
• Drive major technical transformations and scale platform capabilities across Capital One
• Establish TPM operating mechanisms, maturity models, and tooling that scale across portfolios
• Develop and align program roadmaps around business objectives, definition of done, technical solutions, and dependency sequencing
• Lead cross-platform technical investment planning and ensure architectural alignment toward long-term platform convergence and reuse
• Serve as an executive-level escalation point for program risks
• Influence technology leaders to make data-driven tradeoffs between speed, cost, and resiliency
• Define measurable platform-success outcomes, including availability, scalability, cost efficiency, and developer velocity
• Ensure delivery accountability across multiple engineering teams
• Expand the TPM discipline by teaching the organization what effective technical program management can achieve

Full-stack Engineer

• Lead a portfolio of diverse technology projects and a team of developers with deep 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 for 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
• Drive end-to-end design and implementation of large-scale, distributed, or cloud-native systems requiring high reliability and performance
• Partner with architects and product leaders to define platform roadmaps and shared-services strategy

• Lead a portfolio of diverse technology projects and a team of developers using 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 supporting millions of Americans' financial empowerment
• 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 through targeted refactoring and efforts to 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 experience in distributed microservices and full-stack systems
• Create solutions that help 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 supporting millions of Americans' financial empowerment
• 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

Compliance

• Follow privacy trends, new privacy laws, and emerging privacy risks domestically and internationally
• Maintain subject matter expertise in applicable privacy laws and regulations
• Provide guidance, advice, and effective challenge on privacy risks of business initiatives and changes
• Support business lines through interactions and forum engagements
• Consult with legal counsel and subject matter experts on privacy compliance matters
• Map legal and regulatory requirements to business processes and activities
• Advise on privacy requirements, controls, monitoring, remediation, corrective actions, and regulatory changes
• Engage with compliance testing teams on privacy compliance matters
• Review privacy-related complaints and provide remediation guidance
• Escalate and consult with subject matter experts when necessary
• Prepare and participate in reporting on privacy compliance activities
• Travel to various Capital One locations as necessary

Compliance Privacy Advisor, Manager

Events

• Support business customers through Risk Event and/or Issue containment and remediation, with guidance from senior team members
• Work with internal process owners, analysts, technology teams, and third parties to understand and address issues
• Assist in analyzing and interpreting Risk Event and/or Issue results to determine implications and corrective actions
• Coordinate, influence, and negotiate with teams to meet timelines and advance remediation projects
• Contribute to root-cause investigations and problem-solving for remediation projects
• Maintain artifacts, evidence, and entries in the system of record
• Identify and escalate situations to leadership in a timely manner
• Support process improvements aligned with desired customer outcomes
• Develop subject matter expertise on Issue & Event processes when representing the department in projects and meetings
• Understand and use Capital One’s risk management tools and systems
• Assist in drafting and delivering presentations using well-reasoned information and cohesive data
• Collaborate with the direct team and business partners, sharing tools, ideas, and expertise
• Concurrently manage multiple open risk events and issues through analysis, solution identification, execution, and closure

Risk Specialist, Issues and Events Management

• Lead a portfolio of diverse technology projects and a team of developers building distributed microservices and full-stack systems
• Create solutions that meet regulatory needs for Capital One
• 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 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

Director

• Lead client and participant readiness initiatives
• Build and manage a dedicated participant enablement function
• Design an end-to-end readiness system
• Own the CRM ecosystem and marketing tool stack
• Define and execute the Salesforce and related enablement-platform roadmap
• Establish a single source of truth for participant metrics, referral tracking, and client performance analytics
• Oversee adoption, integration, and governance of marketing and enablement technologies
• Prioritize automation to reduce administrative friction while maintaining data accuracy
• Lead implementation and daily operation of merchant referral software, including RAM and RMS, within Salesforce
• Establish one system of record for merchant acceptance complaints
• Design referral workflows for seamless participant experience, accurate attribution, and automated dashboard distribution
• Develop CRM dashboards and KPI frameworks to monitor client programs, enablement initiatives, and referral performance
• Translate opportunities, engagement data, and referral metrics into actionable recommendations to improve participant engagement and conversion rates

Director of Participant Enablement

• Lead a portfolio of diverse technology projects and a team of developers with experience in distributed microservices and full-stack systems
• Create solutions that help meet regulatory needs for the company
• Stay current on technology trends, experiment with and learn new technologies
• Participate in internal and external technology communities
• Mentor members of the engineering community
• Code or evaluate code as needed
• Collaborate with digital product managers
• Deliver robust cloud-based solutions that create powerful experiences for millions of Americans
• Use modern programming languages, databases, container orchestration, and AWS tools and services

Machine Learning Engineer

• Deliver ML models and software components solving business problems in financial services
• Collaborate with Product, Architecture, Engineering, and Data Science teams
• Drive the creation and evolution of ML models and software for intelligent systems
• Lead large-scale ML initiatives with the customer in mind
• Leverage cloud-based architectures and technologies to deliver optimized ML models at scale
• Optimize data pipelines feeding ML models
• Use Python, Scala, Java, and GoLang
• Leverage Dask and RAPIDS compute technologies
• Evangelize engineering and modeling lifecycle best practices
• Help recruit, nurture, and retain engineering talent

Staff Machine Learning Engineer

Risk

• Apply cyber best practices to assess current state, identify gaps, and assess cyber risk, threats, and business impact
• Define mitigation strategies and prioritize and escalate recommendations
• Participate in the design and implementation of cyber control programs
• Manage end-to-end controls lifecycle management and ensure adherence to the Enterprise Control Standard
• Oversee comprehensive design assessments for new controls
• Lead risk professionals as they help lines of business create and update controls
• Assess the impact of control changes on regulatory gap assessments, processes, and risks
• Build and monitor data-quality metrics for control data in the system of record
• Partner with Enterprise Services Risk Analytics to implement automated solutions for proactive risk management
• Support content development for Internal Audit and regulatory agencies
• Drive project and program delivery, reporting, facilitation of senior leadership meetings, and preparation of materials for senior management and the Board of Directors

Senior Manager, Tech Risk & Analysis

Data Analyst

• Manage data-adjacent risks within the Data Governance and Pricing team of Global Payment Networks
• Develop overarching programs, controls, and processes to mitigate data risks across Global Payment Networks
• Drive current and future strategy using analytical skills
• Build and use models to test and validate data
• Work with large and complex databases containing millions to billions of records
• Lead and mentor junior analysts
• Participate in the full life cycle of projects
• Collaborate across business units
• Mine data to produce crucial organizational information
• Identify and implement process, data, and reporting improvements
• Improve operational efficiency and effectiveness
• Conduct process analysis and testing
• Extract and analyze data to evaluate product offerings
• Consult on the design and implementation of production and data storage systems
• Develop and implement strategic tests of products, initiatives, and marketing materials

AI Engineer 4, LLM Gateway, FM Hosting

Senior Director, Product Management, Retail Bank

Director, Technical Program Manager – Card Tech

Director, Technical Program Manager – Card Tech

Full-stack Engineer

Full-stack Engineer

Full-stack Engineer

Compliance Privacy Advisor, Manager

Risk Specialist, Issues and Events Management

Full-stack Engineer

Director of Participant Enablement

Full-stack Engineer

Staff Machine Learning Engineer

Senior Manager, Tech Risk & Analysis

Manager, Data Analytics – Data Governance and Programs