Capital One

Researcher

• Partner with data scientists, software engineers, machine learning engineers, and product managers to deliver AI-powered products
• Leverage PyTorch, AWS Ultraclusters, Hugging Face, Lightning, and other technologies to analyze large volumes of numeric and textual data
• Build AI foundation models through design, training, evaluation, validation, and implementation
• Conduct applied research to advance AI developments into customer experiences
• Translate complex research into tangible business goals
• Lead cross-functional research threads bridging prototype model development and deployment with ML engineering partners
• Ensure scientific insights translate into production impact

Applied Researcher 5

Risk

• Serve as a liaison interfacing with business partners, Tech, legal, compliance, and other assurance functions to reduce risk
• Synthesize data and reporting, perform analysis, and provide business insights from team analyst data
• Design, implement, and/or influence internal governance processes
• Assess controls and glean insights from issues and events across business areas
• Manage, implement, and deliver key program deliverables
• Drive strategy and execute high-priority platform modernization projects
• Work with stakeholders across the company to deliver results impacting the company’s bottom line

Card Vertical Risk Manager

Technical Program Manager

• Lead high-impact technical programs that drive strategic business goals and scale modern platforms powering Capital One’s core customer experiences
• Lead delivery of key components of a multi-year platform modernizing customer-facing systems
• Partner across product, engineering, and multiple lines of business to accelerate execution, eliminate friction, and build scalable solutions
• Expand the TPM discipline by teaching the organization what effective technical program management can achieve
• Own the operational framework for program execution and roadmap transparency, including dependency mapping, risk escalation pathways, and platform governance routines
• Partner with engineering leaders to influence technical decisions and ensure platform scalability, resilience, and long-term maintainability
• Establish program-wide visibility and accountability through metrics, dashboards, and executive communication cadences
• Coordinate across multiple lines-of-business stakeholders to align product strategy with engineering platform capabilities

Senior Manager, Technical Program Management

Customer Success Manager

• Operate as a Strategic Consultant and Customer-Centric Partner to auto dealers within the Capital One Sales Process
• Partner with POD counterparts to strategize and achieve sales success
• Provide consultative expertise and training enablement supporting POD sales objectives
• Support efforts to gain and retain Navigator Platform subscribers
• Provide specialized expertise during initial pitches and compelling closing techniques
• Own seamless customer setup, expert training, and strategic ROI conversations
• Educate and gain buy-in from key auto dealer stakeholders
• Collaborate with the Area Sales Manager and POD team members to develop and execute market strategies and unified sales goals
• Support Navigator Platform sales efforts and own the customer adoption and retention lifecycle
• Drive process improvements aligned with customer outcomes and the Capital One Sales Process
• Provide subject matter expertise on processes and Navigator Platform while representing Sales
• Troubleshoot Navigator Platform product and process issues
• Make frequent in-market visits to dealerships to foster relationships and execute the customer enablement cycle

Dealer Success Manager

Project Manager

• Plan, design, manage, and execute end-to-end technical compliance workstreams, including Vulnerability Management, Cloud Compliance, End-of-Life Software, and Exception renewals
• Ensure compliance workstreams align with established Service Level Agreements and defined priorities
• Serve as strategic partner, intake liaison, and “Front Door” for engineering teams
• Reduce administrative friction and identify opportunities to streamline business and technology processes through self-service resources and job aids
• Track Cyber and Technology Risk metrics and maintain key project documentation
• Identify trends and mitigate or escalate potential compliance risks before they affect delivery timelines
• Champion Generative AI and intelligent automation to streamline routine activities and reduce manual spreadsheet dependency
• Build collaborative relationships with Cyber, Risk, and Technology leaders
• Embed well-managed practices into Bank Tech leadership cadence and delivery reviews
• Use Agile and Jira frameworks to manage project plans and establish standardized playbooks
• Use automated dashboards and data collection mechanisms to provide actionable risk visibility to engineering towers

Manager, Project Manager – Well-Managed Advisor

Human Resources

• Provide guidance and advice to business partners on implementing HR risk policies and programs
• Apply technology, automation, and data analytics capabilities to innovate HR risk management, improve process efficiency, and deliver actionable insights
• Provide day-to-day risk support across the Enterprise Risk Management framework
• Partner with second-line risk management functions, including Legal and Compliance, on employment and privacy law adherence
• Ensure the FUSE risk management system of record accurately reflects process applicability and the control environment
• Support lead VRAs and business partners on key risk activities
• Develop and enhance HR risk management reporting and analytics
• Design, build, and execute automated workflow solutions for risk assessments, control tracking, and reporting
• Support HR risk assessments for new or changing intent
• Review and update regulatory applicability with HR, Legal, and Compliance
• Identify and document appropriate controls for the Uncovered RMAP process in FUSE
• Support HR issues and events in accordance with Enterprise Risk Management standards
• Support HR policies through documentation maintained in Wdesk
• Support related audits and examinations
• Assess the impact of regulatory changes to employment and privacy laws and document implementation plans
• Advise on HR functional-area documentation and ensure process documentation meets enterprise requirements
• Support Enterprise Assessments including Process Criticality, Process Level Assessments, and Risk and Control Self Assessment

HR Manager – Vertical Risk Advisor, Tech & Automation

Full-stack Engineer

• Drive new paradigms to lower the company’s cybersecurity risk
• Lead a portfolio of diverse technology projects and a team of developers building distributed microservices and full-stack systems
• Share knowledge of technology trends and participate in internal and external technology communities
• Mentor engineering community members
• Collaborate with digital product managers to deliver robust cloud-based solutions serving millions of Americans
• Utilize Python, serverless technologies, open-source RDBMS and NoSQL databases, and AWS tools and services
• Provide technical leadership across Agile teams and set standards for design, development, and operational excellence
• Develop and manage engineers and scale leadership capability across teams
• Partner with architects to define service boundaries, integration patterns, and reusable frameworks
• Identify improvement opportunities, refactor systems, reduce technical debt, and enhance performance
• Influence long-term technology strategy through evaluation of emerging tools and practices in a “you build it, you own it” environment

Manager, Full-stack Engineer

• Lead, manage, and grow multiple teams of product-focused software engineers
• Mentor and guide engineers' professional and technical development
• Partner with product managers to understand application capabilities and testing scenarios
• Continuously improve software engineering practices
• Design, develop, test, implement, and support full-stack technical solutions across Agile teams
• Lead the craftsmanship, availability, resilience, and scalability of solutions
• Stay current with technology trends, experiment with new technologies, and participate in technology communities
• Encourage innovation, cutting-edge technology adoption, inclusion, teamwork, self-organization, and diversity
• Improve the velocity of the team's and other teams' work
• Lead deployment of new and existing applications into AWS environments
• Oversee migration of monolithic applications to microservice architectures and build new microservices
• Shape long-term technical strategy and architecture standards for enterprise platforms
• Align product roadmaps with scalable technology capabilities in partnership with senior engineering and business leaders
• Drive talent strategy, succession planning, skill development, and equitable opportunity across engineering teams

Director, Software Engineering – Bank Tech

Controller

• Support Capital One’s Commercial Broker Dealers registered with FINRA and the SEC
• Prepare journal entries and monthly reconciliations
• Perform month-end closing and financial reporting processes timely and accurately
• Manage accounts payable for the business and interface with Enterprise Supplier Management
• Prepare and present monthly, quarterly, and ad hoc analytics for line of business, Accounting, and Finance leadership
• Support quarterly SEC and regulatory reporting and other ad hoc reporting requests
• Interact directly with Finance, key business partners, associates throughout the controller’s group, tax, and external and internal auditors
• Participate in challenging project initiatives with the team
• Support automation and data transformation efforts
• Identify and drive process efficiencies

Associate, Accounting – Commercial Controllers

Program Manager

• Lead programs delivering critical business goals and large-scale products and platforms
• Drive the end-to-end strategic roadmap for enterprise platforms, ensuring modernization, scalability, and alignment with business growth priorities
• Own executive communications on delivery status, program risk, and long-term architectural decisions
• Establish and scale TPM best practices, governance frameworks, and OKR-based performance models across multiple domains
• Influence investment prioritization for long-term agility, resilience, and cost efficiency
• Mentor and develop TPM leaders while fostering technical excellence and delivery accountability
• Help expand the TPM discipline by teaching the organization what effective technical program management can achieve
• Collaborate with stakeholders and sister organizations on product and platform strategy and implementation

Senior Director, Technical Program Management

Security Engineer

• Act as the central Information Security point of contact for the Enterprise Platforms line of business
• Coordinate and execute proactive Information Security consulting for business and technology teams
• Cover Infrastructure Security, Resiliency, Data Security, Network Architecture and Design, and User Access Management
• Serve as an expert on Capital One’s Information Security capabilities, solutions, policies, procedures, and standards
• Influence customers to leverage security capabilities and integrate security earlier in development processes
• Escalate and manage cybersecurity risk
• Provide ad hoc support on special Information Security topics for the business
• Provide regular updates to executive leadership on Information Security health and the risk environment
• Work with line-of-business leadership to anticipate objectives and needs

Senior Manager, Cyber Security – Information Security Office Consultant

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 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
• Set technical direction for enterprise-wide AI architecture and unify tooling, observability, and deployment standards
• Own the design and integration of model routing, caching, and orchestration systems for hybrid and multi-model workloads
• Champion responsible AI principles, including transparency, reproducibility, and fairness-by-design
• Drive internal education, mentorship, and dissemination of best practices through architecture councils and AI guilds

Staff 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, multi-agent workflows, similarity search, guardrails, evaluation, experimentation, governance, and observability
• Leverage open-source and SaaS AI technologies including 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
• Set technical direction for enterprise-wide AI architecture, tooling, observability, and deployment standards
• Own design and integration of model routing, caching, and orchestration systems for hybrid and multi-model workloads
• Champion responsible AI principles, including transparency, reproducibility, and fairness-by-design
• Drive internal education, mentorship, and best-practice dissemination through architecture councils and AI guilds

Staff AI Engineer – Enterprise Analysis Platform

• Articulate and evangelize a bold technical vision for the domain
• Decompose complex problems into practical and 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 engineering community
• Handle several projects simultaneously and balance time to maximize impact
• Mentor engineers and strengthen the technical expertise of engineering and product communities
• Drive modernization of 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
• Create communications, code samples, blog posts, and other materials to share knowledge internally and externally

Staff Full-Stack Engineer

Data Engineer

• 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, 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 data engineering design patterns for code quality, maintainability, and reusability
• 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