Jobs at Capital One

Leads data product management for Capital One’s Bank Modernization team, overseeing account and transaction data products used across the enterprise. Manages a team of 10+ product managers, drives data modeling and governance, coordinates stakeholders, and supports fraud, AML, and customer-facing use cases. Translates complex technical and business topics into clear strategies, improves operating models, and leads cross-functional teams to deliver scalable, resilient data solutions.

Build and lead full-stack software engineering projects using microservices, cloud platforms, databases, APIs, and modern development frameworks. Provide technical leadership across Agile teams, mentor engineers, establish coding standards, partner with architects and product managers, improve system performance, reduce technical debt, and shape long-term technology strategy. The role focuses on delivering scalable, robust solutions in a remote-eligible environment.

Build and lead full-stack software engineering initiatives using distributed microservices, cloud platforms, databases, APIs, and modern programming languages. Provide technical leadership across Agile teams, establish engineering standards, mentor developers, partner with product managers and architects, improve system performance, reduce technical debt, and influence long-term technology strategy.

Advises sales, trading, treasury derivatives, and operations teams on CFTC, NFA, and futures exchange requirements. Supports the Swap Dealer Compliance program through risk assessments, root cause analysis, control reviews, policy maintenance, reporting, compliance testing, surveillance coordination, training, audits, regulatory inquiries, and remediation of control gaps. Partners with legal, business leaders, regulators, and industry groups to interpret and implement new requirements.

Owns the feature flagging and experimentation platform that enables safe code deployment, precise targeting, and measurement of product impact. Leads development of tools, SDKs, statistical engines, and scalable platform primitives for developers, data scientists, and product managers. Responsibilities include managing developer-facing infrastructure, experimentation frameworks, targeting logic, access controls, approval workflows, compliance guardrails, and cross-functional product strategy.

Leads a 50+ person organization across data engineering, ML, GenAI, and security products. Owns multi-year strategy, architecture, technical roadmaps, hiring, and delivery standards. Designs low-latency identity decisioning and threat-detection systems, robust ML infrastructure, streaming pipelines, MLOps practices, AI security capabilities, and automated governance. Partners with executive and security leadership to address regulatory priorities, emerging cyber risks, and protection of human, workload, and AI-agent identities.

Leads software engineering teams and technology portfolios while designing and implementing large-scale, distributed, cloud-native systems. Responsibilities include architectural leadership, full-stack development, platform roadmap strategy, mentoring engineers, regulatory solutions, and delivery of highly reliable services. The role uses Java, Python, Go, AWS, Kubernetes, databases, machine learning systems, and observability practices to support real-time fraud detection and financial transaction protection.

Build enterprise Generative AI solutions for Commercial Banking using multi-agent systems, advanced RAG, context engineering, tool-calling frameworks, and machine learning. Partner with data scientists, ML engineers, and product managers to develop, evaluate, validate, fine-tune, and deploy AI pipelines over large numeric and textual datasets. Translate complex technical work into business outcomes while researching emerging AI methods.

Manage monitored-employee populations for Broker-Dealer and Swap Dealer businesses. Responsibilities include onboarding and offboarding workflows, surveillance-system provisioning, roster reconciliation, data integrity checks, stakeholder coordination, process automation, and escalation of compliance risks. The role requires analyzing large datasets, resolving discrepancies, maintaining regulatory coverage, and improving high-volume operational processes using spreadsheet and data-management tools.

Design, build, deploy, retrain, monitor, and maintain production machine learning models and infrastructure. Develop application code, data pipelines, testing, automation, and cloud-based architectures using distributed systems and containerized environments. Collaborate with Product and Data Science teams in Agile delivery, apply responsible and explainable AI practices, optimize model performance, and support resilient deployments at scale.

Leads strategy and delivery for business customer data products spanning business identity, relationships, and risk attributes. Drives product innovation, customer-centered solutions, technology enablement, enterprise data platform scaling, governance, and AI/ML enablement. Partners with cross-functional teams to translate business needs into digital products, resolve complex problems, mitigate risks, and align stakeholders across multiple business lines.

Leads technology and cybersecurity audits covering cloud infrastructure, application controls, emerging technology, third-party management, and technology risk. Performs risk assessments, evaluates control effectiveness, analyzes evidence, documents findings, communicates results to management, tracks budgets, and supervises or coaches less experienced auditors. The role requires collaboration with clients and audit teams while delivering independent assurance over governance, risk management, and internal controls.

Architect, build, and deploy enterprise-scale full-stack applications and autonomous AI agent workflows for HR technology. Lead engineering projects and developers, define AI integration patterns, ensure security and regulatory compliance, mentor engineers, and establish development standards. The role involves cloud solutions, distributed microservices, databases, APIs, agentic LLM systems, RAG, vector search, CI/CD, and emerging AI development tools.

Leads product management for Capital One’s cloud runtimes and operations platform. Defines strategy for cloud infrastructure automation, connectivity, observability, managed infrastructure, developer experience integrations, and cloud resource topology. Drives customer-centered product solutions, business outcomes, technical innovation, integrated problem solving, and cross-functional organizational alignment. Partners with engineering stakeholders to build an intelligent platform that provisions, secures, scales, and maintains cloud resources across the enterprise.

Lead software engineering projects and developers building cloud-based, full-stack solutions with distributed microservices. Provide technical leadership across Agile teams, establish development standards, define service architectures, mentor engineers, and improve system performance. The role involves programming across multiple languages, databases, cloud platforms, container orchestration, APIs, CI/CD, infrastructure as code, automated testing, observability, and emerging AI-based development tools.

Own CreditWise product strategy, roadmap development, and delivery of consumer-facing features that improve financial and credit wellbeing. Collaborate with analysts, engineers, UX researchers, legal, risk, compliance, credit reporting agencies, and enterprise stakeholders. Lead cross-functional teams across web and mobile applications, translating customer needs and business strategy into innovative, resilient products while managing risks and driving engagement.

Build and lead enterprise-scale generative AI and agentic systems for HR technology. Design multi-agent workflows using LangChain, LangGraph, LLMs, RAG, and cloud services; establish secure, compliant AI architectures; lead engineering initiatives and developers; define service boundaries and integration patterns; improve system performance and reduce technical debt; mentor engineers and influence long-term technology strategy.

Leads software engineering projects and developers building large-scale, distributed, cloud-native systems. Designs and implements full-stack solutions using Java, Spring Boot, AWS, microservices, databases, containers, and CI/CD. Provides technical leadership, shapes architecture and platform roadmaps, establishes engineering standards, mentors engineers, improves system reliability and performance, and partners with product and architecture leaders on enterprise technology initiatives.

Leads a US Card data science team developing machine learning solutions for customer behavior prediction and valuation forecasting. Partners with data scientists, engineers, product managers, and business stakeholders; builds models through design, training, validation, evaluation, and implementation; analyzes large-scale numeric and textual data; translates technical findings into business outcomes; and develops team talent.

Leads complex technical programs, platform investments, roadmaps, architectural alignment, and delivery across multiple engineering teams. Establishes TPM operating models, maturity frameworks, tooling, measurable outcomes, and accountability. Drives executive-level risk escalation, cross-platform standardization, business and technical alignment, and tradeoffs involving speed, cost, and resiliency. Mentors and expands the TPM discipline while influencing senior technology leaders and delivering scalable, highly available platforms.