Top Internships

Leads product management for Capital One’s Customer Identity and Core team, overseeing enterprise systems that manage customer, business, and device data. Drives customer-focused digital product strategy, technology innovation, security, business growth, and cross-functional organizational alignment. Translates business strategy into scalable consumer experiences and foundational identity capabilities.

Leads enterprise product management and experience strategy at Capital One. Reimagines customer and internal experiences, identifies value creation opportunities, translates business strategy into digital products, leverages technology, solves complex problems, mitigates product risks, and aligns cross-functional teams to deliver innovative and sustainable outcomes.

Design, build, and operate scalable cloud data pipelines, platforms, and applications using distributed data technologies. Lead architectural decisions, evaluate platforms such as Snowflake and Databricks, establish engineering patterns, and deliver resilient data solutions. Collaborate with product managers, software engineers, analysts, and data scientists while mentoring engineers and communicating technical outcomes to stakeholders. Drive large-scale data initiatives independently in an Agile environment.

Design, develop, deploy, and support scalable AI systems, including foundation model training, LLM inference, agentic workflows, similarity search, guardrails, evaluation, governance, and observability. Optimize AI infrastructure for cost, latency, throughput, reliability, and hardware utilization. Define system architectures and SLOs, lead technical reviews, ensure security and compliance, contribute to long-term AI platform strategy, and mentor engineering colleagues.

Leads process management and operational improvement initiatives across Network Risk Operations. Partners with stakeholders to identify business needs, analyze trends and risks, and implement solutions involving process changes, dashboards, digital tools, automation, AI, and enablement. Establishes governance, prioritization, and controls while driving scalable solutions, stakeholder alignment, adoption, and measurable improvements across cross-functional teams.

Leads and develops Dealer Success Managers through training, coaching, performance management, goal setting, and career development. Oversees team productivity, policy adherence, talent management, and continuous improvement while collaborating with sales and regional leadership. Drives performance, communication, motivation, and execution across the Dealer Success organization. Travel may be required up to 50%.

Lead multiple software and data engineering teams delivering data platform features and merchant-focused products. Define product vision, roadmaps, KPIs, and enterprise data requirements while using SQL and analytics to guide decisions. Partner with engineers, analysts, data scientists, designers, and executives to prioritize initiatives, manage trade-offs, improve customer experiences, and launch revenue-driving products. The role requires strategic leadership, strong communication, AI interest, and oversight of product operations and team culture.

Lead data science initiatives for agentic AI products, partnering with data scientists, AI/ML engineers, and product managers. Build, deploy, validate, and optimize machine learning models using large-scale numeric and textual data. Design A/B tests, analyze telemetry, translate technical findings into business strategy, research emerging technologies, and develop talent while guiding enterprise-scale AI decisions.

Build and lead full-stack software engineering initiatives using distributed microservices, cloud platforms, APIs, databases, and modern front-end technologies. Provide technical leadership across Agile teams, establish engineering standards, mentor developers, partner with architects and product managers, improve system performance, reduce technical debt, and influence technology strategy. The role requires extensive experience with programming languages, cloud infrastructure, CI/CD, testing, version control, observability, and scalable systems.

Lead research and user intelligence for Capital One’s auto finance experiences. Build cumulative user intelligence, configure AI-enabled research and testing agents, establish continuous discovery programs, and develop experience measurement frameworks. Partner with product, engineering, design, and business leaders to analyze qualitative and quantitative data, create dashboards, identify correlations, and guide customer-focused decisions. Manage researchers, analysts, or data scientists while influencing senior stakeholders and developing team talent.