Top Tech Jobs & Startup Jobs in Chicago, IL

Lead an agile engineering team to architect, develop, and productionize secure, scalable software that integrates LLMs and generative AI. Drive AI-assisted engineering practices, mentor engineers, translate business requirements into technical roadmaps, automate reliability, and ensure compliant, high-quality delivery.

Lead software engineering delivery of secure, scalable, cloud-native microservices applications. Design and develop production code, review and debug others’ work, resolve technical issues, improve application resiliency, automate recurring remediation, and support zero-downtime releases. Collaborate within agile teams, apply domain modeling and modern architectural patterns, lead technical communities of practice, mentor others, and drive adoption of effective engineering practices.

Owns product strategy, vision, discovery, roadmap, backlog, delivery, launches, and lifecycle management for client onboarding and servicing products. Defines success metrics, manages dependencies and blockers, coordinates cross-functional delivery, and ensures change readiness and compliance with risk, controls, and regulatory requirements. Uses customer insights and data analytics to prioritize initiatives and improve product value, scalability, reliability, and client experience.

Leads a Treasury Sales Support team responsible for improving client onboarding, billing and pricing processes, service-level agreements, controls, reporting, and continuous improvement. Builds partnerships with Sales, Implementation, Product, Documentation, and Technology teams; coaches staff; manages workloads; drives process and policy changes; identifies procedure gaps; and delivers reporting and presentations to senior stakeholders.

Supports Private Client Advisors by processing account openings, money movements, investment trades, client requests, account reviews, performance reporting, and relationship-building activities. The role also assists with wealth planning, lead generation, risk management, Know Your Customer procedures, compliance documentation, and operational prioritization while promoting firm services and maintaining strong client relationships.

Lead SEO/AEO strategy by analyzing search data, customer intent, and competitive trends. Build content roadmaps, optimize content for AI/answer-first discovery, audit and improve pages for discoverability and conversion, create executive presentations, own channel reporting, and partner cross-functionally to prioritize opportunities, forecasts, and test-and-learn plans that drive measurable growth.

Supports end-to-end trading operations, including trade execution, account monitoring, reconciliation, reporting, discrepancy resolution, compliance, and process improvement. Collaborates with traders and stakeholders, analyzes trading data, contributes to strategic initiatives, and helps train junior team members. The role requires financial markets knowledge, strong analytical and communication skills, proficiency with Excel and trading platforms, and adaptability in a fast-paced environment.

Lead the transformation of Payments Production Management into a mature SRE organization. Build and manage a centralized program function, establish governance and operating standards, develop a transformation roadmap, and coordinate cross-functional execution across engineering, operations, risk, and product teams. Track reliability metrics, improve incident and change management, reduce toil, expand automation, and deliver executive reporting. Lead AI-assisted production operations practices with human validation, security awareness, and auditability.

Lead end-to-end brand and campaign strategy for the Olympic and Paralympic sponsorship: translate rights into creative platforms, manage paid media and measurement, coordinate agencies and internal teams, oversee timelines, budgets, and stakeholder alignment, and create executive presentations and measurement frameworks.

Design, build, and deliver production AI/ML solutions using agile practices. Translate business requirements into ML specifications, produce secure high-quality code, create architecture artifacts, analyze large datasets, troubleshoot complex issues, and contribute to engineering communities and continuous improvement.