Capital One

Product Manager

• Modernize Capital One’s Card Core
• Lead innovative problem solving, mapping, and conversion execution
• Drive horizontal conversion strategy for major components of the Card Core modernization
• Create the longer-term vision for the Capital One Card core framework and associated capabilities
• Build strategic and operating relationships with Tech, Product, and Enterprise stakeholders
• Build and maintain a highly engaged, high-performing team through talent development and recruiting
• Lead two direct Product Managers and three matrixed Product Managers
• Apply the Capital One Product Framework across human-centered, business-focused, technology-driven, integrated problem-solving, and transformational-leadership practices

Director, Product Management – Card Technology

Full-stack Engineer

• Lead a portfolio of diverse technology projects and a team of developers using 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 customers
• 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 establish 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 improve system performance
• Influence long-term technology strategy by evaluating emerging tools and practices in a you-build-it-you-own-it environment

• Transform agent servicing from a manual, agent-led process into an insights- and data-driven intelligent experience
• Build guided experiences in the agent servicing platform
• Proactively provide relevant information and insights to agents at the right moment
• Recommend best next actions to agents
• Prompt agents to educate customers about self-service options
• Craft a more dynamic and personalized customer servicing experience
• Reimagine and innovate product solutions around internal and external customer needs
• Translate technology into innovative and resilient solutions
• Identify and resolve complex problems while mitigating product risks
• Lead cross-functional teams and drive organizational alignment

Manager, Product Management – NextGen Agent Experiences, Agent Servicing Platform

Data Scientist

• Partner with data scientists, AI/ML engineers, and product managers to deliver enterprise products
• Design AI/ML models and build solutions for agentic AI products
• Define long-term science strategy and analyze and optimize ecosystem impact
• Drive business value at enterprise scale
• Design experiments, including A/B tests
• Model telemetry and translate results into AI strategy and guidance for C-suite leadership
• Use Python, Conda, AWS, H2O, Spark, and other technologies to analyze large volumes of numeric and textual data
• Build machine learning models through design, training, evaluation, validation, and implementation
• Translate technical complexity into tangible business goals
• Research and evaluate emerging technologies and state-of-the-art methods
• Develop talent and challenge conventional thinking with stakeholders

Director, Data Science

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 including AWS Ultraclusters, Hugging Face, vector databases, 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
• Design, implement, and optimize multi-model orchestration pipelines integrating LLMs, vector search, and domain-specific models
• Establish and lead cost-performance governance reviews, tracking GPU utilization, model throughput, and inference cost efficiency
• Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards
• Mentor Principal- and Manager-level AI engineers and elevate organizational technical maturity

AI Engineer 5 – MLXT

• Lead a portfolio of diverse technology projects and a team of developers with distributed microservices and full-stack systems experience
• Build 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
• 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
• Lead end-to-end design and implementation of large-scale, distributed, or cloud-native systems
• Partner with architects and product leaders to define platform roadmaps and shared-services strategy
• Power backend services for customer reward redemptions, including miles transfers, cash redemptions, purchase erasers, and gift-card platforms
• Modernize architecture toward a streamlined microservices environment and accelerate delivery timelines
• Build resilient, highly scalable systems with fraud-reduction and customer-experience teams

Full-stack Engineer 5, Go, Python, Java

• Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products
• Oversee design, development, testing, deployment, and support of AI software components, including foundation model training, LLM inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability
• Make build-versus-buy decisions across open-source and SaaS AI technologies
• 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
• Attract and retain AI talent and nurture team members' personal and professional development
• Translate enterprise AI strategy into portfolio-level execution plans across multiple product areas
• Scale AI engineering practices through shared infrastructure, reusable components, and unified observability and governance frameworks
• Establish enterprise standards for Responsible AI, including fairness metrics, model evaluation protocols, documentation requirements, and audit readiness
• Partner with research, compliance, and enterprise risk teams to ensure deployed systems meet ethical and regulatory standards

Director, AI Engineer – Remote Eligible

• 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 state-of-the-art foundation model optimization techniques to improve scalability, cost, latency, and throughput
• Contribute to the technical vision and long-term roadmap of foundational AI systems
• Define and steer technical AI architecture, integrating applied research into reliable, scalable production ecosystems
• Establish AI performance, safety, and transparency standards for company-wide model development and deployment
• Drive multi-year platform initiatives unifying data, compute, and model lifecycle management under an enterprise AI architecture
• Mentor senior technical leaders across research, data, and engineering disciplines

Senior Staff AI 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 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
• Utilize 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, setting 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, and reduce technical debt while enhancing 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 – Java, Spring Boot, AWS, CI/CD

• Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices and full-stack systems to create solutions meeting 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 supporting millions of Americans’ financial empowerment
• Utilize 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, shaping 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

Full-stack Engineer 5 – Java, Spring Boot, AWS, CI/CD

Machine Learning Engineer

• Design, build, and/or deliver ML models and components solving real-world business problems in collaboration with Product and Data Science teams
• Inform ML infrastructure decisions using knowledge of modeling techniques, data and feature selection, training, hyperparameter tuning, dimensionality, bias/variance, and validation
• Write and test application code, develop and validate ML models, and automate tests and deployment
• Collaborate in a cross-functional Agile team to create and enhance software enabling big data and ML applications
• Retrain, maintain, and monitor models in production
• Leverage or build cloud-based architectures, technologies, and platforms to deliver optimized ML models at scale
• Construct optimized data pipelines feeding ML models
• Apply continuous integration and continuous deployment practices, including test automation and monitoring
• Manage code to reduce vulnerabilities, govern models from a risk perspective, and apply Responsible and Explainable AI best practices
• Use programming languages such as Python, Scala, or Java

Machine Learning Engineer 4, Python, AWS, SQL, GenAI

• Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices and full-stack systems
• Build solutions that help 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 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 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, Python, Java, AWS, API, UI

Compliance

• Assist the SD CCO in administering a Swap Dealer Compliance program
• Advise Sales and Trading and related Operations teams on CFTC swap regulations and Designated Contract Market rules involving commodities, foreign exchange, and interest rate derivatives
• Perform root cause analysis, applicability and control reviews, and risk assessments
• Help maintain written policies and procedures for swaps and exchange-traded futures
• Contribute to internal reports for management committees and the Board
• Work with the Legal Department and outside counsel regarding changes in CFTC and NFA rules, regulations, and interpretive guidance
• Work with Compliance Assurance to ensure compliance testing is appropriate based on risk
• Liaise with the Surveillance Team on disposition of communications and trading alerts
• Assist with development and delivery of compliance training
• Represent Capital One in industry working groups concerning advocacy, interpretation, and implementation of new or proposed rules
• Assist with audits and regulatory/DCM inquiries, coordinating collection and review of responses
• Conduct ongoing compliance risk assessments and coordinate with business leads to identify and mitigate risks and control gaps
• Regularly interact with management and provide regulatory advice and recommendations supporting business strategy
• Support internal and external compliance risk reporting and recurring Swap Dealer Compliance operational processes, including the SD CCO Annual Report

Principal Swap Dealer Compliance Advisor

• 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 supporting 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 by evaluating emerging tools and practices in a you-build-it-you-own-it environment

Full-stack Engineer, Manager

• 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 serving millions of Americans
• Use programming languages, databases, container orchestration services, and AWS tools and services to build solutions
• 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