Top Tech Jobs & Startup Jobs in Chicago, IL

Lead Data Engineer designs, develops, tests, and supports cloud-based data solutions. Collaborates with Agile teams on distributed, real-time, and ML-enabled systems using languages and data platforms (Java, Scala, Python, Go, Redshift, Snowflake). Mentors engineers, performs code reviews and unit tests, and drives technical innovation and experimentation.

Provide high-level administrative support to multiple executives, managing complex calendars, travel and expense reporting, coordinating team events, circulating communications, and acting as a team ambassador to ensure efficient operations and strong internal relationships.

Lead and grow multiple product-focused software engineering teams building cloud-native, ultra-low-latency, highly resilient payment systems. Drive architecture, microservices decomposition, AWS deployments, engineering practices, cross-team collaboration, mentorship, and adoption of cutting-edge AI tooling to accelerate development and improve system availability and scalability.

Lead Global Payment Network product efforts to improve consistency, scalability, and adoption of payment experiences. Partner cross-functionally across Authorizations, Settlement, Disputes, Backoffice, Pricing and Go-to-Market; use data and technology to identify improvements, deliver reliable payment products, and drive customer-focused, scalable solutions.

Partner with Enterprise Payments teams to define and prioritize features across Authorizations, Settlement, Disputes, Backoffice, Pricing and Go-to-Market. Break down epics into user stories, own roadmaps, use data and hypothesis-driven assessment, and collaborate with designers, engineers, and data scientists to deliver scalable, customer-focused payment products in an agile environment.

Lead product strategy and roadmap for an enterprise Secure Foundations platform to automate container and artifact vulnerability detection and remediation. Partner with engineering, cybersecurity, and risk to transform reactive vulnerability management into proactive, automated workflows, measure impact on developer productivity, and drive enterprise adoption and continuous improvement.

Lead technical vision and solutions as a domain expert: decompose complex problems, ensure design quality, optimize scalability/operability, mentor engineers, produce reusable artifacts, and drive engineering excellence across teams.

Lead product efforts for Global Payment Network to improve consistency, scalability, and adoption of payment experiences. Partner across Authorizations, Settlement, Disputes, Backoffice, Pricing, and Go-to-Market teams to evaluate processes, define solutions, use data and technology, and drive cross-functional delivery of reliable, user-focused payment products.

Serve as chief of staff to the SVP for U.S. and Canadian payment markets, translating strategy into execution. Lead cross-functional programs, manage and sequence multiple projects, apply quantitative and qualitative analysis to solve ambiguous problems, drive executive communications, and improve business performance across product, technology, finance, and operations.

Lead end-to-end strategy and execution to integrate Google generative AI products across Capital One, drive rapid experimentation, partner with Google product leadership, build quantifiable value cases, balance user experience with enterprise controls, and lead cross-functional teams to scale AI-driven productivity and automation.