Capital One

Product Manager

• Reimagine the status quo and identify value-creation opportunities in Product Management
• Drive innovative and sustainable customer experiences through technology
• Build the Depersonalization Ecosystem, which depersonalizes sensitive Card and Enterprise data
• Enable modeling and analysis teams to derive customer insights while remaining compliant and secure
• Address internal and external customer needs through human-centered product solutions
• Deliver outcomes through business-focused leverage and execution excellence
• Leverage technology to deliver innovative, resilient solutions and long-term value
• Identify and resolve complex problems while mitigating product risks
• Lead cross-functional teams to solve customer problems and drive organizational alignment

Manager, Product Management

Account Manager

• Build long-term meaningful relationships with business owners
• Understand customers' businesses and goals and help them achieve greater success
• Use a consultative approach to optimize rewards and benefits from products
• Serve as a trusted advisor and informed teacher to business owners
• Grow customer purchase volume in the assigned territory
• Manage all aspects of the sales cycle
• Conduct outreach to business owners to set appointments
• Assess current customers' needs using a consultative approach
• Drive existing account engagement
• Educate customers on the Capital One value proposition and business solutions
• Teach customers how to leverage purchasing, travel, and electronic accounts payable payment solutions
• Learn purchasing needs and behaviors of current customers
• Analyze total business spend to identify opportunities for additional products and services
• Build broad and technical product knowledge and understand customer processes
• Assist customers with incorporating products into purchasing platforms and bookkeeping software
• Maintain and update CRM systems for data compliance
• Drive incremental card charge volume with existing customers

Relationship Manager – Customer Growth, Business Cards & Payments

Project Manager

• Lead large, complex programs by providing strategic direction and tactical guidance to project teams, peers, and direct reports
• Design, develop, and manage comprehensive project plans, adapting strategies to evolving business requirements
• Ensure rigorous project documentation and governance to mitigate risk, ensure compliance, and maintain on-time delivery
• Leverage advanced problem-solving and influencing skills to align stakeholder goals with strategic intent
• Partner cross-functionally with key stakeholders to provide thought leadership, streamline communication, and drive successful deliverables
• Build collaborative relationships across organizational boundaries to secure buy-in and achieve shared commitments
• Oversee end-to-end program management for critical initiatives within the Experience Platforms Top of House team
• Own and drive stakeholder engagement, timeline risk and dependency management, communication flows, strategic insights for senior leadership, and core project operations

Senior Project Manager

Operations

• Lead a team of process managers in delivering flawlessly executed processes
• Create and modify processes to improve business efficiency and drive results
• Collaborate with leaders and stakeholders to influence business outcomes
• Monitor data trends and establish benchmarks or thresholds to ensure data integrity
• Educate stakeholders and gain buy-in for appropriate process utilization
• Create and validate processes
• Design and produce efficiency and effectiveness metrics
• Drive process improvements aligned with desired customer outcomes
• Analyze, identify, and correct data issues in departmental systems
• Provide process subject matter expertise in projects and meetings
• Manage and lead a high-performing team of associates

Senior Process Manager, PULSE

• Support and lead technical oversight, integration, and technical operations for corporate customers
• Champion corporate partners and represent their interests with internal and third-party technical teams
• Ensure quality customer service and identify growth opportunities
• Provide timely, accurate, and transparent communications and counsel to stakeholders
• Drive well-managed execution, rigorous risk management, and continuous process improvements through influence and negotiation
• Negotiate mutually beneficial agreements across customers, stakeholders, and technical teams
• Understand business needs and translate them into technical solutions
• Conduct analysis, gain support, and drive solutions through influence and negotiation
• Communicate across and up through partner and Capital One leadership teams
• Analyze complex, interconnected business processes and systems to manage risks and ensure effective controls
• Assist with Intent grooming so acceptance criteria and conditions of satisfaction define completion for agile delivery teams
• Focus on quality, resilience, and performance of technologies and services used by partners
• Work closely with software engineering teams to develop creative solutions and remove delivery impediments

Principal Associate, Project Management – Partnerships Technology Team

Backend Engineer

• Productionize machine learning applications and systems at scale
• Participate in detailed technical design, development, and implementation of ML applications
• Focus on ML architectural design and develop and review model and application code
• Ensure high availability and performance of ML applications
• Design, build, and deliver ML models and components solving real-world business problems in collaboration with Product and Data Science teams
• Make ML infrastructure decisions involving model choice, data and feature selection, training, hyperparameter tuning, dimensionality, bias/variance, and validation
• Write and test application code, develop and validate ML models, and automate testing and deployment
• Collaborate with a cross-functional Agile team to create and enhance big data and ML applications
• Retrain, maintain, and monitor production models
• Leverage or build cloud-based architectures and platforms to deliver optimized ML models at scale
• Construct optimized data pipelines feeding ML models
• Apply CI/CD practices, test automation, and monitoring for ML model and application deployments
• Manage code to reduce vulnerabilities, govern models from a risk perspective, and apply Responsible and Explainable AI best practices
• Contribute to the Marketing and Messaging team’s scalable platforms for hyper-personalized omnichannel messages and experiences

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

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
• Work on foundation model training, large language model 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
• Improve scalability, cost, latency, and throughput of large-scale production AI systems
• Contribute to the technical vision and long-term roadmap of foundational AI systems at Capital One

Senior Lead AI Engineer, AI Foundations, VLM Customization

Business Analyst

• Lead, coach and develop a team of recruiters and Recruiting Leads responsible for identifying and hiring top Business Analyst talent
• Partner with the BA Recruiting Leader and BA Recruiting Leads to translate recruiting priorities and strategies into execution
• Support overall recruiting season management, including planning through execution, monitoring progress against goals, identifying risks and opportunities, coordinating across teams, and addressing emerging needs
• Build and maintain relationships with internal HR partners, Students & Grads teams, business stakeholders, and external partners as needed
• Provide consultation, share recruiting insights, and ensure strong connectivity across partners
• Contribute to recruiting strategy through innovative ideas, market insights, and recruiting practices
• Leverage recruiting data, trends, and insights to understand performance and inform recommendations
• Support executive-level reporting and communication as needed
• Guide and coach the team in sourcing and recruiting strategies and candidate management from initial engagement through offer acceptance
• Collaborate on forecasting, selection logistics, interviewer engagement, and interview readiness
• Stay abreast of early talent trends and innovative recruiting practices to improve recruiting effectiveness and candidate experience
• Leverage Workday and other recruiting technologies

Business Analyst Recruiting Manager – S&G

• 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, Huggingface, 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 Engineer – Gen AI Platform Services, Agentic AI, Guardrails, Evaluation

• 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-vs-buy decisions across open-source and SaaS AI technologies
• Invent and introduce 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
• Attract and retain AI talent and nurture the personal and professional development of the team
• Foster a culture of learning and staying abreast of the state of the art in AI

Senior Manager, AI Engineer – Gen AI Platform Services, Agentic AI, Guardrails, Evaluation

Full-stack Engineer

• Lead, manage and grow multiple teams of product-focused software engineers
• Mentor and guide the professional and technical development of engineers
• Work with product managers to understand desired application capabilities and testing scenarios
• Continuously improve software engineering practices
• Design, develop, test, implement, and support technical solutions across full-stack development tools and technologies
• Lead the craftsmanship, availability, resilience, and scalability of solutions
• Stay current with technology trends, experiment with and learn new technologies, and participate in internal and external technology communities
• Encourage innovation, cutting-edge technology adoption, inclusion, teamwork, self-organization, and diversity
• Improve the velocity of the team and other teams
• Lead deployment of new and existing applications into AWS environments
• Break monolithic applications into microservice architectures and build new microservices

Director, Software Engineer

• Lead, coach, and develop a high-performing team
• Own and operate end-to-end processes; identify failure modes; maintain controls for compliance and risk reduction
• Partner with stakeholders across Risk, Product, Tech, and Data to align requirements and influence project outcomes
• Identify and automate repetitive processes and implement strategic changes for efficiency and operational excellence
• Monitor process health, resolve complaints and risk events, and incorporate audit/testing outcomes into continuous improvement
• Translate high-level intent into resilient, pragmatic implementation plans while managing the team and well-managed agenda
• Transform the “Well Managed” control suite to make it more automated, effective, and resilient
• Provide L2 Process oversight for core platforms supporting marketing, credit line management, and balance transfer programs

Senior Manager, Project Management – Customer Service Platforms

• Provide L2 Process oversight for core platforms supporting marketing, credit line management, and balance transfer programs
• Help transform the Well Managed control suite to make it more automated, effective, and resilient
• Solve complex problems, influence product design, and consult on new initiatives
• Translate high-level intent into pragmatic requirements and implementation plans
• Own, operate, and document end-to-end processes
• Identify failure modes and develop or maintain controls for compliance and risk reduction
• Build stakeholder relationships across Risk, Product, Tech, and Data to drive transparency, buy-in, and outcomes
• Drive process improvements and automation using emerging technology
• Lead resolution of complaints and risk events
• Monitor process health through metrics and operational resilience practices
• Ensure testing outcomes and observations are incorporated into operational resilience and continuous improvement cycles
• Serve as leader and subject matter expert for well-managed delivery execution

Manager, Project Management – Customer Service Platforms

• Influence, manage, and own process management activities for Shopping, including PLA/PRA assessments, process and control creation and validation, and audit activities
• Lead Shopping’s adherence to email governance, sanctions processes, external data sharing, and script governance
• Lead risk assessments, solve problems to remediate issues, create efficiencies, and reduce risk
• Document risks, results, and issues and work with internal partners on remediation plans
• Partner with Shopping team leads and enterprise partners to ensure clear communication of project requirements
• Serve as point of contact for risk and audit partners
• Provide subject matter expertise on processes when representing the department in projects and meetings
• Advise on risk, process, and data management requirements for new initiatives and Enterprise requests
• Apply inquiry and analysis to make recommendations and decisions
• Question the obvious, explore options, and develop alternatives

Senior Manager, Process Management

Financial Planning and Analysis

• Lead, develop, and support Card Tech Finance associates
• Support specific leaders within the Card Tech organization
• Leverage financial insights to influence strategy, prioritization, and outcomes
• Analyze current financial results, socialize drivers and impact, and provide recommendations
• Act as a strategic advisor to the Tech organization and integrate into supported leadership teams
• Tell the story of financial results and forecasts in the context of business priorities
• Build relationships across the organization to deliver on Card’s agenda
• Communicate analytic insights through clear, high-impact, executive-ready presentations
• Attract, manage, coach, and develop direct reports
• Create connections across the team and organization to drive collaboration
• Own budget and forecast accuracy for areas of responsibility
• Evaluate analytical results and formulate recommendations using sound business judgment
• Analyze and explain key cost drivers and annual financial trajectory
• Provide strategic insights and suggest actions to business and finance partners