Top Tech Jobs & Startup Jobs

Leads product management for Capital One’s Global Payments Network, improving payment experience consistency, scalability, adoption, and customer value. Partners cross-functionally across authorizations, settlement, disputes, back-office operations, pricing, and go-to-market. Uses customer insights, business strategy, data, technology, and integrated problem-solving to develop reliable digital payment products, mitigate risks, and drive organizational alignment and transformation.

Manage BeyondTrust endpoint privilege management, application policies, integrations, testing, deployments, and elevation requests. Advise teams on endpoint risk reduction, support security investigations, ensure governance and audit compliance, test controls, identify process gaps, and document procedures. Collaborate with vendors, architects, platform teams, and business stakeholders while tracking project milestones. Develop PowerShell scripts and support cloud, deployment, monitoring, and infrastructure automation capabilities.

Conduct applied AI research focused on foundation models, LLM customization, and fine-tuning. Design, train, evaluate, validate, and deploy large-scale models using PyTorch, AWS, Hugging Face, and Lightning. Develop scalable research and platform code, reproduce and extend peer-reviewed work, design controlled experiments, publish findings, and collaborate with data scientists, engineers, and product managers to deliver AI-powered products.

Leads engineering projects and developers building large-scale, distributed, cloud-native full-stack systems for Capital One Card Technology. Responsibilities include architecture, implementation, technical strategy, platform roadmaps, mentoring, regulatory solutions, reliability and performance optimization, observability, and collaboration with product and architecture teams. The role uses modern programming languages, microservices, databases, containers, cloud platforms, APIs, CI/CD, and automated testing.

Analyze complex data to support business strategy, build self-service data solutions, develop dashboards and metrics, and manage data quality, metadata, lineage, security, and governance. The role requires collaboration with business and technology teams, use of Python, R, Spark, SQL, and AWS, and delivery of data-driven insights within financial services.

Leads data analysis and analytics for Capital One’s card account data products. Responsibilities include mining large databases, validating data models, improving processes and reporting, evaluating products and marketing initiatives, consulting on data systems, and collaborating across business units. The role also manages and mentors junior analysts, supports strategic product decisions, and contributes to business intelligence and project delivery.

Data Analytics Engineering Interns will transform and structure data in data lakes and Snowflake, maintain data processes and pipelines, ensure data quality and documentation, build automated reporting and visualizations, and analyze large datasets. The role involves solving business problems end to end, collaborating cross-functionally, developing practical solutions, and communicating technical concepts to nontechnical audiences.

Supports multiple senior executives by managing complex calendars, coordinating travel and expense reports, organizing team meetings and events, disseminating information, and fostering collaboration. The role requires strong judgment, adaptability, communication, organization, and multitasking skills in a fast-paced environment.

Leads large-scale full-stack engineering initiatives, mentors developers, and designs reliable cloud-native and distributed systems. The role involves architectural leadership, technical strategy, microservices, APIs, databases, cloud platforms, CI/CD, infrastructure as code, observability, automated testing, and cross-functional collaboration with product and architecture teams. The engineer will guide multiple technology projects, establish engineering standards, influence platform roadmaps, and deliver solutions supporting regulatory and customer needs.

Leads enterprise data analysis and analytical tool validation initiatives for card data products. Responsibilities include developing validation frameworks, planning validation projects, assessing methodology quality and risk, researching emerging analytical tools, prototyping best practices, preparing reports and presentations, and coaching junior staff. The role requires collaboration with data product and technology partners, independent problem solving, and management of concurrent projects.