Capital One

Communications

• Develop and execute proactive communication, talent, and tastemaker campaigns and team operations under senior team guidance
• Collaborate with internal and external stakeholders to execute program elements
• Liaise with media on inbound media inquiries
• Create media messaging, pitches, media lists, briefing books, and executive social posts
• Provide project management support, including workback plans, project trackers, and actionable meeting follow-ups
• Assist with measurement and media coverage reports
• Coordinate contract deliverables and logistics for talent and tastemaker partners
• Manage and optimize communications reporting and analytics
• Support external communications for Capital One’s Premium Products and Experiences line of business, including Premium Products & Travel and Loyalty, Marketing & Spend Experiences
• Support executive thought leadership and vet business engagements for reputation risk

Communications Principal Associate, Premium Products & Experiences

Product Manager

• Reimagine operational processes and leverage agentic automation, money movement, and messaging to unlock self-servicing, speed, transparency, and accuracy
• Empower frontline and back-office associates to focus on high-value decisions
• Build and execute a strategy spanning multiple operations teams
• Unlock differentiated customer experiences and enable the Bank and its products to scale seamlessly
• Meet Operational Efficiency targets
• Build and lead high-performing, inclusive teams of product managers and extended teams of engineers, designers, strategists, and data scientists
• Equip product managers with frameworks to drive strategy, make data-backed decisions, and solve complex customer problems
• Lead the AI Understand roadmap and assess emerging generative and agentic technologies
• Develop strategic initiatives for faster learning and market validation
• Refine cross-functional operating models to align teams around shared goals and outcomes
• Demonstrate human-centered, business-focused, technology-driven, integrated problem-solving, and transformational leadership

Director, Product Management – Servicing Experience, Platforms

Risk

• Optimize and enhance foundational elements of the Risk Identification Framework
• Lead cross-functional initiatives to simplify and standardize Risk Identification processes
• Leverage data analysis and operational insights to identify core problems and formulate solutions
• Collaborate with 1st Line and 2nd Line stakeholders across business lines
• Partner with technology, product, and data teams on system and process updates
• Design and implement risk metrics to measure framework effectiveness and process health
• Lead training across lines of defense
• Establish and manage guidance for consistent execution across business lines
• Deliver reporting and executive-level presentations for real-time risk visibility
• Fulfill audit and regulatory exam requests and other ad-hoc deliverables
• Support governance activities, including controls and issues

Risk Manager

Backend Engineer

• Participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms
• Focus on machine learning architectural design
• Develop and review model and application code
• Ensure high availability and performance of machine learning applications
• Design, build, and/or deliver ML models and components that solve real-world business problems in collaboration with Product and Data Science teams
• Inform ML infrastructure decisions using understanding of modeling techniques and issues, including model choice, data and feature selection, training, hyperparameter tuning, dimensionality, bias/variance, and validation
• Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment
• Collaborate with 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 to feed ML models
• Apply continuous integration and continuous deployment practices, including test automation and monitoring
• Ensure code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and ML follows Responsible and Explainable AI best practices
• Continuously learn and apply the latest innovations and best practices in machine learning engineering

Lead Machine Learning Engineer, Python, GoLang, AWS

Consultant

• Generate new and expand existing full-service treasury management relationships for Sponsor and Specialized Industries clients
• Sell and maintain depository accounts and treasury management services for new and existing Capital One relationships
• Advise prospects and clients on deposit, treasury management, risk, and liquidity needs
• Build a book of business through deposit growth, cross-selling, and prospecting for new-to-bank relationships
• Work with TMT or FIG Relationship Managers and leadership to generate new relationships and develop existing clients
• Deliver value-added solutions and collaborate across product and technology organizations
• Identify prospects and develop relationships to profitably expand business
• Provide thought leadership through corporate events and industry conferences
• Collaborate with marketing on sales collateral and company-sponsored marketing
• Manage existing and new-to-bank client portfolios for profitable revenue growth and reduced attrition
• Identify and communicate operational credit exposures and other risks
• Ensure treasury management product risk and Capital One policies are adhered to and mitigated
• Establish onboarding expectations, execute documentation, and ensure ramp-up of sold services
• Conduct sales calls to generate profitable treasury management and deposit business and achieve growth goals
• Engage with industry, networking, and community associations
• Identify working capital efficiency opportunities and deepen client relationships
• Identify and refer ancillary business opportunities to appropriate partners
• Design customer-centric treasury management solutions and provide consultative liquidity-management expertise

Treasury Management Consultant III, Specialized Industries

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, similarity search, guardrails, model evaluation, experimentation, governance, and observability
• Leverage Open Source and SaaS AI technologies including AWS Ultraclusters, Hugging Face, VectorDBs, NeMo Guardrails, and PyTorch
• Invent and introduce state-of-the-art LLM 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 at Capital One

Senior Lead AI Engineering – GenAI Platform Services, Agentic Systems

Technical Program Manager

• Lead the Core Technical Program Management tower at Capital One
• Identify and mitigate technical risks throughout the delivery lifecycle
• Grow and develop a team of technical program managers
• Build the foundations for the TPM practice
• Simplify technically complex issues and drive informed decisions across product, engineering, design, and data science
• Drive execution, follow-through, accountability, and measurable results
• Collaborate across functions, organizations, and reporting boundaries
• Own business or technical vision for large and complex programs
• Collaborate with cross-functional teams, secure commitments, unblock teams, and deliver business impact
• Drive resilience, reliability, observability, incident response, disaster recovery, and related technical programs

Director, Technical Program Manager – Core TPM Tower

Business Analyst

• Identify business challenges and opportunities and use analysis to make strategic or tactical recommendations
• Perform modeling and analytics for new product and pricing strategies across lending products
• Support direct-to-consumer marketing and strategic intent for retail-channel products
• Build targeted insights for new customer experiences, breakthrough technology, and go-to-market strategies
• Improve credit performance by connecting future consumer credit trends to historical behavior
• Create risk models and test hypotheses through rigorous monitoring and analysis
• Frame problems, develop and test hypotheses, analyze results, develop solutions, assess operational feasibility, lead implementation, and develop monitoring plans
• Partner with IT, Sales, Operations, Finance, and other Capital One colleagues to improve quality, volume, service, and profitability
• Establish frameworks for integrating Gemini, Claude, and Capital One's AI Platform into analyst workflows
• Gather user context, engineer workflows with Claude, drive development of credit tools, and support enterprise adoption
• Identify and operationalize AI use cases and disseminate learnings across the department

Senior Business Analyst – AI Strategy & Tooling

• Lead the strategy for the bank ledger
• Build personalized experiences that help customers improve financial health
• Develop tools that help customers create sustainable saving habits and gain spend visibility and confidence
• Ensure the ledger is accurate and fast as the foundation of the banking experience
• Partner closely with engineering, design, business, and risk teams
• Reimagine and innovate product solutions around 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

Manager, Product Manager – Retail Bank, Money Management

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 help meet regulatory needs for the company
• Stay current with technology trends, experiment with and learn new technologies
• Participate in internal and external technology communities
• Mentor members of the engineering community
• Collaborate with digital product managers
• Deliver robust cloud-based solutions that drive customer experiences and financial empowerment
• Use programming languages, open-source relational and NoSQL databases, container orchestration services, and AWS tools and services

Lead Software Engineer, Full Stack – Scala, React, AWS

• 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 Capital One
• Stay current with technology trends and experiment with and learn new technologies
• Participate in internal and external technology communities
• Mentor members of the engineering community
• Collaborate with digital product managers
• Deliver robust cloud-based solutions that create powerful experiences for millions of Americans
• Use programming languages, databases, container orchestration services, and AWS tools to build performant, scalable services
• Own shared foundational components used across multiple engineering groups
• Drive features for innovative fintech travel products

Lead Software Engineer – Full Stack, Scala, React, AWS

• Partner with research scientists, product managers, and engineers to prototype and ship AI-native products reaching millions of customers
• Research, prototype, and productionalize AI systems including multimodal search, intelligent document processing, and autonomous agentic workflows
• Design and optimize AI infrastructure, including fine-tuning and pre-training pipelines, reinforcement learning, inference optimization, guardrails, and evaluation frameworks
• Use AWS Ultraclusters, PyTorch, and agentic frameworks to develop AI capabilities
• Architect agentic workflows that autonomously navigate tools, orchestrate multi-step reasoning, and integrate with complex microservice environments
• Build Agentic AI applications and platform capabilities for customer-facing GenAI workflows and internal coding tools

AI Engineering Internship

• Partner with research scientists, product managers, and engineers to prototype and ship AI-native products
• Research, prototype, and productionalize high-impact AI systems, including multimodal search, intelligent document processing, and autonomous agentic workflows
• Design and optimize AI infrastructure, including fine-tuning and pre-training pipelines, reinforcement learning, inference optimization, guardrails, and evaluation frameworks
• Use AWS Ultraclusters, PyTorch, and agentic frameworks to build AI systems
• Architect agentic workflows that navigate tools, orchestrate multi-step reasoning, and integrate with complex microservice environments
• Build Agentic AI applications and platform capabilities for customer-facing GenAI workflows, AI infrastructure, and internal agentic coding tools
• Contribute to AI systems and AI-native experiences serving Capital One’s 100mm+ customers

AI Engineering Intern

General

• Participate in a full-time, 12-week summer applied research experience
• Discover solutions to real-world, large-scale problems
• Conduct high-impact applied research to advance AI-driven customer experiences and contribute to publications
• Partner with applied researchers, data scientists, software engineers, machine learning engineers, and product managers
• Test and design AI-powered products that change how customers interact with their money
• Use PyTorch, AWS Ultraclusters, Hugging Face, Lightning, VectorDBs, and other technologies to analyze large volumes of numeric and textual data
• Translate complex research into tangible business goals
• Collaborate with leading researchers to publish papers at top academic conferences
• Develop professionally through networking, technical deep dives, and executive speaker sessions

PhD Internship, Applied Research

Engineering Manager

• 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 and experiment with and learn new technologies
• Participate in internal and external technology communities
• Mentor members of the engineering community
• Occasionally code or evaluate code
• Collaborate with digital product managers
• Deliver robust cloud-based solutions that create powerful experiences for millions of Americans
• Use programming languages, databases, container orchestration services, and AWS tools and services