Capital One

Financial Planning and Analysis

• Lead Grant Operations team within CI&I’s Community Portfolio Management Office (CPMO)
• Oversee the delivery of 1000+ philanthropic grants annually to community partners
• Drive strategic creation and delivery of reporting products
• Partner with internal teams to automate grantmaking processes and enhance controls
• Recruit, mentor and invest in grant operations associates
• Act as primary point of contact for grantees and ensure compliance with guidelines

Senior Manager, Community Investment Portfolio – Grant Operations

Operations

• Own the strategic governance, execution, and final validation of end-to-end billing for the Discover Debit network.
• Collect, analyze and measure process data for reporting to senior leadership and executives.
• Resolve complex problems or transactions, interpreting against policies and guidelines.
• Maintain formal process documents and project reports.
• Collaborate on larger initiatives and represent department interests.
• Coach and train junior PM levels on processes and performance targets.

Senior Associate, Process Manager – Debt Billing

• Creating and validating processes
• Own the end-to-end design, execution, governance, and optimization of complex reward, volume-based incentive, and rebate calculation workflows for automated and manual incentives.
• Designing and producing metrics used to measure efficiency and effectiveness
• Driving process improvements aligned with desired customer outcomes
• Analyzing, identifying, and correcting data issues with systems used or owned by a department
• Providing subject matter expertise on processes when representing the department in projects and other meetings
• Managing and leading a team of associates

Process Manager, Incentive Manager

• Oversee the end-to-end configuration, validation, and freeze of recurring monthly billing processes
• Manage the monthly reconciliation close process
• Create and validate processes
• Design and produce metrics used to measure efficiency and effectiveness
• Drive process improvements aligned with desired customer outcomes
• Analyze, identify, and correct data issues with systems used or owned by a department
• Provide subject matter expertise on processes when representing the department in projects and other meetings
• Manage and lead a team of associates

Process Manager, Monthly Billing

Data Analyst

• Leverage analytic and technical skills to innovate, build, and maintain data solutions and capabilities
• Use Open Source/Digital technologies to mine complex data sources
• Build well-managed data solutions, tools, and capabilities
• Partner with the business to provide consultancy and translate business needs
• Drive analysis that provides meaningful insights on business strategies
• Drive understanding and adherence to data quality management principles
• Collaborate with Tech teams to manage security mechanisms and data access governance
• Build and execute tools to monitor and report on data quality

Principal Data Analyst

Administrative Assistant

• Managing daily calendars for multiple executives, demonstrating flexibility and problem-solving abilities to adjust or prioritize schedules based on last-minute changes
• Arrange and reserve conference rooms, catering, audio/video and other essential services as needed for meetings and conferences
• Coordinate travel arrangements and create expense reports in a timely manner using Capital One systems
• Drive key team activities and events (such as all-hands meeting, team meetings, conferences, ordering supplies and social events)
• Prepare professional business communication documents including memos, letters, and emails
• Build and maintain good business relationships with executives and administrative staff across the organizations
• Participation in general administrative duties (copying), distributing mail, ad-hoc projects, committees and/or group events
• Promote a fun and team-oriented work environment

Senior Administrative Assistant – Legal, Consumer & Small Business

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 to create solutions that help meet regulatory needs for the company
• Lead the design and implementation of AI-native software engineering harnesses that use approved models, coding agents, and developer workflows in governed control-plane capabilities
• Build agentic workflow orchestration systems that support planning, code generation, validation, retry loops, human checkpoints, and controlled promotion through delivery environments
• Define and implement typed input/output contracts, schemas, metadata capture, and workflow state models that make agentic execution auditable and repeatable
• Develop trace capture, observability, and debugging capabilities for AI-assisted engineering workflows, including prompt/output lineage, tool-call traces, model/runtime metadata, and failure analysis
• Integrate evaluation results into CI/CD and release workflows, including quality gates for fidelity, build correctness, accessibility, security, performance, and human-review outcomes
• Build reusable APIs, services, developer tooling, dashboards, and reference implementations that enable teams to adopt AI-native engineering practices consistently
• Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
• Partner with application teams to migrate complex software and digital experiences using governed agentic workflows, while preserving engineering quality, customer experience, and enterprise controls
• Collaborate with Cyber, Risk, Responsible AI, Architecture, Product, and Platform teams to ensure solutions meet enterprise standards for security, auditability, compliance, and operational readiness
• Write architecture proposals, design documents, runbooks, and technical guidance that help scale harness engineering patterns across teams
• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code

Senior Lead Software Engineer, Full Stack

Machine Learning Engineer

• Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers.
• Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI.
• Fine-tune, develop and evaluate machine learning and foundation models.
• Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities.
• Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One.
• Leverage a broad stack of Open Source and SaaS AI technologies.
• Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues.
• Retrain, maintain, and monitor models in production.
• Construct optimized data pipelines to feed ML models.
• Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.

Lead Machine Learning Engineer

• Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams
• Inform ML infrastructure decisions using understanding of ML modeling techniques and issues
• Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment
• Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications
• Retrain, maintain, and monitor models in production
• Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale
• Construct optimized data pipelines to feed ML models
• Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code
• Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI

Senior Machine Learning Engineer, AI Foundations

• Oversee the daily intake, setup, and validation of fee billing forms
• Ensure timely and accurate fee mapping for transactions
• Reconcile daily outputs against internal pricing schedules and partner contracts to ensure billing integrity
• Drive continuous improvement in billing accuracy, cycle time, and audit readiness
• Collaborate with internal teams to ensure fee setups align with contractual terms
• Serve as the escalation point for complex billing discrepancies and pricing exceptions
• Maintain audit-ready documentation for all fee setups
• Provide day-to-day guidance to junior analysts and contractors, reviewing their setups and offering coaching on fee standards and billing logic
• Lead knowledge-sharing sessions and contribute to desk procedures and SOPs

Principal Process Manager – Fee Billing

Data Scientist

• Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
• Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data
• Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
• Flex your interpersonal skills to translate the complexity of your work into tangible business goals

Principal Associate, Data Scientist – Cash Flow Underwriting

• 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 that help meet regulatory needs for the company
• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code
• Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
• Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services

Senior Lead Software Engineer, Full Stack – Global Payment Network

Engineer

• As a Sr. Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of payments in the cloud.
• You will operate as a trusted advisor for key technologies, platforms and capability domains.
• Articulate and evangelize a bold technical vision across multiple domains and mission critical platforms.
• Partner with executive leaders across business, product, and technology functions to set the direction for strategic investment and high-leverage technical decisions.
• Handle multiple concurrent engagements, rapidly context shifting between detailed technical solutions and broad strategic engagement to accelerate value creation.
• Lead tech-driven innovation across engineers and executives, coaching organizations and mentoring individuals to elevate the technical acumen across engineering, business & product groups.

Senior Distinguished Engineer – Global Payment Network

AI Engineer

• Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
• Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
• Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
• Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.
• Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.

Lead AI Engineer – Vision Model Customization, VLM

Product Manager

• Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology.
• The Credit Card Posted Transactions Data Product team builds and manages one of the key data assets for Capital One - authoritative data related to transactions for US and Canada Card consumer and small business accounts which primarily drives customer experiences, servicing treatment, and internal decisioning actions.
• The data product is central to the company’s strategy to make data available through a standardized, well-governed, automated and unified platform.
• We are looking for a Technical Product Manager to take ownership of the critical data product.