Jobs at Capital One

Manages second-line oversight of network participant and operational risks within Capital One’s Global Payments Network. Responsibilities include developing testing and monitoring strategies, analyzing data, challenging first-line risk decisions, validating controls, documenting findings, identifying trends, and supporting remediation plans. The role also contributes to risk policies, issue and event analysis, stakeholder collaboration, and executive guidance across risk management functions.

Manage Capital One Travel’s call center quality program, including BPO partner oversight, QA rubric integrity, global calibrations, audits, coaching feedback loops, KPI tracking, and continuous improvement. Translate quality insights into training and workflow enhancements, drive adoption of AI-assisted tools, and lead initiatives that improve agent proficiency, service consistency, and customer experience.

Leads product management for Capital One’s Consumer and Developer Experience organization. Oversees strategic pillars including developer experience, AI tools and platforms, marketing and messaging delivery, experience platforms, and enterprise supplier and operations products. Drives customer-centered product strategy, technology-enabled innovation, business outcomes, cross-functional alignment, and transformational leadership across consumer-facing digital products and enterprise platforms.

Lead products within Capital One’s Payments Intelligence platform, managing spend-data organization, enhancement, resilience, performance, and quality. Develop and execute strategic roadmaps, prioritize features using business and customer insights, collaborate cross-functionally, monitor product metrics, and drive continuous improvement. The role requires technology-driven product leadership, integrated problem solving, and alignment across teams delivering data products, APIs, and analytics capabilities.

Design, build, deploy, scale, and monitor production machine learning systems. Develop models, application code, data pipelines, cloud architectures, automated tests, and CI/CD processes. Collaborate with Product and Data Science teams, ensure high availability and performance, govern models for risk and responsible AI, and lead teams developing ML solutions.

Design, develop, deploy, and support foundational AI systems, including model training, LLM inference, similarity search, guardrails, evaluation, governance, experimentation, and observability. Optimize large-scale AI systems for performance, scalability, latency, throughput, hardware utilization, and cost. Shape the technical vision and roadmap for foundational AI platforms while collaborating with engineers, research scientists, technical program managers, and product managers. Lead technical innovation and influence cross-functional stakeholders.

Develop generative AI and machine learning solutions for customer-facing and internal applications. Responsibilities include partnering with data scientists, engineers, and product managers; analyzing large numeric and textual datasets; building, training, validating, evaluating, and implementing models; researching emerging AI technologies; and translating technical findings into business outcomes.

Leads product design strategy and hands-on craft across concierge and premium card experiences. Establishes AI-driven design workflows, prototypes innovative digital experiences, mentors designers, raises organizational design capabilities, and partners with research, product, engineering, marketing, and analytics leaders. Translates customer insights, business strategy, and technical constraints into scalable, human-centered products while influencing senior stakeholders and long-term product direction.

Leads product management for Consumer and Developer Experience, bringing Product, Technology, and Design together to build scalable digital products and platforms. Oversees strategic pillars including AI and developer tools, communication delivery, experience platforms, and enterprise supplier and operations products. Translates customer needs and business strategy into technology-driven solutions, leads cross-functional teams, manages product risks, and drives organizational alignment and growth.

Lead a data science team building scalable AI and machine learning solutions for customer-facing financial products. Develop and fine-tune NLP and large language models, manage model training, evaluation, validation, and production deployment, and partner with engineering, product, and design teams. Apply emerging generative AI technologies at scale while mentoring talent, translating technical findings into business outcomes, and delivering resilient systems for millions of customers.

Leads product strategy and strategic initiatives for Consumer and Developer Experience, partnering with senior leaders, engineering, and cross-functional teams. Responsibilities include solving complex business problems, driving AI transformation, conducting quantitative and qualitative analysis, developing innovation roadmaps and prototypes, leading strategy and product teams, fostering customer-centric culture, and building organizational alignment. The role requires strong strategic judgment, communication, relationship-building, people leadership, and product orientation.

Lead data science for AI Foundations, developing and deploying large-scale NLP, machine learning, and generative AI solutions. Partner with software engineering, ML engineering, product, and design teams to build customer-facing applications. Train, fine-tune, evaluate, and operationalize language models and other advanced models using technologies including PyTorch, AWS, Hugging Face, LangChain, and VectorDBs. Provide technical leadership, communicate complex findings, and develop team talent.

Leads product management for Capital One’s Anti-Money Laundering risk platform. Responsibilities include launching regulatory-compliance features, partnering with data and technology teams, using AI tools for product discovery and delivery, developing the product roadmap, and driving a multi-year enterprise risk management transformation. The role requires cross-functional leadership, customer-focused product development, business and technology strategy, integrated problem-solving, and risk mitigation.

Lead a team and portfolio of full-stack, cloud-based projects—designing distributed microservices, mentoring engineers, collaborating with product, and delivering secure, regulatory-focused solutions using modern languages, containers, orchestration, and cloud services.

Lead data engineering efforts by designing, developing, testing, and supporting scalable data pipelines and movement solutions. Build cloud-based systems using Python, SQL, Spark, Kafka, Snowflake, and Databricks; optimize data models, quality, governance, and performance; collaborate with Agile teams and product managers; conduct code reviews and testing; and mentor engineers while applying emerging technologies and interactive AI tools.

Lead data engineering role responsible for designing, developing, testing, implementing, and supporting cloud-based data solutions. The position uses Python, Java, Scala, SQL, distributed computing, streaming technologies, data warehouses, NoSQL databases, and public cloud platforms. Responsibilities include collaborating with Agile and product teams, building scalable systems, conducting code reviews and unit tests, optimizing performance, tracking technology trends, and mentoring engineers.

Leads software engineering projects and developer teams building distributed microservices and full-stack systems. Designs cloud-based solutions using Java, Python, AWS, APIs, databases, Docker, Kubernetes, and related technologies. Collaborates with product managers, mentors engineers, evaluates emerging technology, and delivers enterprise platforms supporting regulatory and customer needs.

Lead product development for Small Business Bank money-movement capabilities. Define vision, prioritize roadmaps, break epics into MVP features, collaborate with designers, engineers and data scientists, run experiments using data-driven hypotheses, and align stakeholders to deliver customer-centric digital payments and servicing solutions.

Leads product management for Capital One’s Depersonalization Ecosystem, developing technology that depersonalizes sensitive data for modeling and analysis while maintaining compliance and security. The role requires customer-focused product strategy, business and technology leadership, integrated problem solving, risk mitigation, and cross-functional organizational alignment. Candidates need a quantitative, business, or marketing degree, or a bachelor’s degree with at least three years of product management experience.

Perform independent technology controls testing, design and execute test plans, identify control and process gaps, document findings, evaluate cybersecurity compliance, and communicate results to stakeholders. The role also manages testing engagements, maintains partner relationships, collaborates across risk and technology teams, and supports process improvements related to cybersecurity, identity and access management, and cloud technologies.