Capital One

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 – GenAI Platform, AI Foundations, LLM Core, Agentic AI

Account Manager

• Develop and manage omnichannel marketing prospect campaigns on Capital One’s rapidly growing Card Partnerships business.
• Creation and execution of marketing campaigns for partner card programs.
• Continuous improvement of new customer acquisition results for established card products.
• Drive and execute marketing strategies for new, innovative multi-channel campaigns across owned channels.
• Partner with cross-functional stakeholders to build and launch marketing intent.
• Leverage insights & performance results to identify opportunities to optimize marketing programs.
• Write clear and concise creative briefs and test documents.
• Merchandize and socialize marketing & business results with broader stakeholder groups.
• Collaborate with multiple cross-functional teams including creative agencies, analytics, research, operations, legal and client/partner.

Senior Associate, Prospect Marketing – Card Partnerships

Financial Planning and Analysis

• Manage financial planning and analysis for internal Enterprise Risk organizations
• Partner with leadership to assess financial implications of ongoing efforts
• Develop materials that articulate business results to support partner objectives
• Proactively identify and address financial issues and opportunities
• Conduct accurate budgeting, forecasting, financial management reporting, and variance analysis
• Build presentations with data-driven insights for senior audiences
• Engage with business partners to analyze and manage cost drivers
• Independently coordinate workstreams and deliverables under tight timelines
• Identify and enable continuous improvements across the team
• Indirectly manage and develop associates

Manager, Financial Planning & Analysis – Hybrid

Engineer

• Define and implement the multi-year reliability roadmap and target architectural state for the entire product portfolio.
• Invent and deliver novel engineering solutions to reduce organizational toil, maximizing engineering velocity across all services.
• Serve as the final escalation point for system crises, codifying best practices to build an organizational culture of outage prevention.
• Govern secure IaC/Platform strategy, driving enterprise-wide adoption and standardization across multi-cloud environments.
• Establish organization-wide reliability standards and Error Budget governance to align business objectives with engineering risk.
• Lead the growth and technical development of SRE and platform engineering talent across multiple teams and disciplines.
• Establish company-wide FinOps governance and capacity management to ensure sustainable, cost-efficient infrastructure growth.

Distinguished Engineer

Product Designer

• Combine craft expertise and leadership skills to co-create innovative solutions to complex problems
• Influence product strategy
• Demonstrate a high degree of skill in product design across interaction, visual, and service design
• Lead design projects, directing work for more junior team members
• Mentor and help mature the overall product design practice at Capital One
• Navigate stakeholder needs while ensuring focus on customer-centered solutions and inclusive design
• Apply relevant insights on customers, competitors and broader market trends to shape business challenges
• Help cross-functional teams navigate technical limitations for impactful solutions
• Present work using a human-centered approach that influences strategic decision-making

Product Design Manager

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
• 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
• 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 Python, Java, HTML/CSS, TypeScript, JavaScript, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services

Lead Software Engineer, Full Stack – Intelligent Foundations & Experiences

• Lead a portfolio of diverse technology projects and a team of developers
• Share passion for tech trends and mentor other engineers
• Collaborate with product managers to deliver cloud-based solutions
• Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, Go, and various AWS tools

Lead Software Engineer, Full Stack

Manager

• Leads the design, development, and execution of strategic learning initiatives
• Partners directly with business leaders to assess learning needs
• Manages key learning programs and workstreams
• Drives the creation of new skillsets, onboarding frameworks, and functional training
• Coaches, mentors and manages junior associates on the team

Senior Learning Manager

Data Engineer

• Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
• Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
• Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake
• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community
• Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
• Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance

Lead Data Engineer – Finance Tech

Director

• As a Business Director, you will apply strategic and analytical skills to major challenges
• Manage and develop a team of analysts, coaching and mentoring them
• Manage timely delivery and flawless execution of quarterly economic forecasts
• Develop and implement economic data product
• Work closely with colleagues across Capital One including Tech, Data Analysts, Project Managers, and others
• Produce quarterly economic forecasts used for business planning, loss forecasting and credit allowance.
• Share quarterly economic forecasts with senior management and design economic scenarios for stress testing.

Business Director, Economic Forecasting

• Lead multiple teams of software and data engineers to design and deliver data platform features for internal users
• Understand the enterprise data requirements and ensure the system’s compliance with enterprise patterns
• Relentlessly push to understand user and stakeholder needs and ensure they are considered in prioritization and trade-off discussions
• Create a vision and roadmap for your product that addresses stakeholder needs
• Partner with analysts, data scientists, designers, engineers, and others to continuously refine the roadmap and harvest insights from experiments and product launches
• Build and maintain strong relationships with leaders and stakeholders that depend on the capabilities and performance of our platforms
• Define, socialize, and monitor key performance indicators to understand the evolution and success of the project

Product Director

Data Scientist

• Build machine learning models through all phases of development, from design through training, evaluation and validation, and partner with engineering teams to improve operationalization in scalable and resilient production systems that serve 50+ million customers.
• Explore billions of clickstream events to discover the patterns in customer behavior, and use those patterns to model key customer outcomes
• Develop the real-time models that use vast amounts of customer data to anticipate customers’ needs and deliver the right options at the right time
• Write software (Python, e.g.) to collect, explore, visualize and analyze numerical and textual data (billions of customer transactions, clicks, payments, etc.) using tools like Spark.

Manager, Data Science – Consumer Identity Machine Learning

Machine Learning Engineer

• part of an Agile team dedicated to productionizing machine learning applications and systems at scale
• 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
• continuously learn and apply the latest innovations and best practices in machine learning engineering
• design, build, and deliver ML models and components that solve real-world business problems
• 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
• collaborate as part of a cross-functional Agile team
• 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
• leverage continuous integration and continuous deployment best practices to ensure successful deployment

Lead Machine Learning Engineer

Security Engineer

• Optimize cybersecurity program processes and output
• Contribute to the broader program roadmap
• Drive reporting accuracy and demand excellence in department deliverables
• Actively manage and escalate risk and customer-impacting issues within the day-to-day role to management
• Manage and execute cybersecurity risk assessments using qualitative and quantitative methodologies to support the organization's overall security posture
• Maintain an awareness of emerging cybersecurity threats by analyzing and reporting on cybersecurity risk against various Cybersecurity Frameworks (NIST CSF, NIST 800-53, PCI DSS)
• Perform in-depth analysis of security issues and vulnerabilities using tools including WhiteHat, Veracode, and Qualys to ensure compliance with audit, regulatory and legal requirements
• Design metrics and develop advanced capabilities to ensure confidentiality, integrity, availability, authentication, and non-repudiation to communicate elevated risk in a business friendly manner to Cybersecurity Leadership and 2nd line partners
• Proactively identify and report control deficiencies as issues within action plans
• Conduct strategic and operational effectiveness assessments as required for cyber events, and regulatory and audit reviews
• Utilize ServiceNow and Cyber Risk System for risk management and risk remediation, processing potential security exceptions and/or risk acceptances against established security policies and standards
• Gather and challenge data, evidence, or statuses for accuracy to achieve initiative and risk mitigation completion

Mainframe Security Engineer

Brand Designer

• Partner with Creative Directors and Project Managers to define intent, brief teams, and deliver marketing that cuts through the noise.
• Be a creative leader amongst your team of Art Directors, Graphic Designers, and Copywriters.
• Lead and execute creative development in support of Capital One’s credit card business across Performance Marketing channels, including social media platforms, video, click-based outbound and SEM.
• Give clear direction and effective feedback around project intent, concepts, design, copy and motion.
• Collaborate with marketing strategists and internal business clients to positively influence marketing strategy and the customer experience.
• Use evidence and data to ground your creative decisions.
• Demonstrate expert knowledge of digital marketing channels, social media advertising and marketing trends and translate business intent into creative strategies and executions that market products effectively.
• Present and influence with a convincing and inspiring style to increase buy-in and open the door for new opportunities.
• Mentor and build expertise in your craft, whether copywriting or art direction with your peers, and team members.