Top Tech Jobs & Startup Jobs in Chicago, IL

Provide high-impact confidential support to C-level executives: manage complex calendars, communications, meetings, travel, and briefing materials; lead cross-functional projects; improve executive-office processes; triage issues and represent the executive with discretion to enable strategic decision-making.

The Senior Staff Cloud Engineer will lead cloud strategy, design architectures for scalability and reliability, and manage cloud solutions to optimize IT infrastructure, ensuring high performance while mentoring team members.

The Senior Business Strategy Analyst conducts strategic analyses to inform growth and GTM strategy, collaborating with leaders and providing data-driven recommendations based on independent analysis.

Lead enterprise planning, forecasting, and performance management. Translate strategy into driver-based models, deliver accurate forecasts, establish KPIs and governance, enable modern reporting and analytics, track initiative value, and partner with executives to drive data-driven decisions and accountability across the organization.

The Senior Product Manager will enhance customer experiences, drive product strategies, manage lifecycle stages, and collaborate with teams to increase satisfaction and revenue growth.

The Senior Product Manager advocates for customers, enhances product experiences, analyzes data for improvements, and leads product development strategies while collaborating with technical teams.

The Analyst will analyze data, develop programming for data extraction, create reports, investigate trends, and monitor statistical models to enhance business decisions.

Define and execute predictive modeling and ML strategy for credit risk, servicing, and collections. Lead cross-functional initiatives, oversee model development, deployment, and monitoring, advise senior leadership on data strategy, represent analytics in regulatory and audit forums, and mentor peers while fostering organizational partnerships.

Lead and execute ML/AI strategy, design and deploy production-grade ML and GenAI solutions, mentor MLEs, collaborate with cross-functional teams, and build scalable, secure ML/LLM platforms and inference pipelines to drive business impact.

Lead vision, architecture, and delivery of an enterprise AI engineering platform. Align platform capabilities with engineering, security, and cost controls; enable self‑service AI tooling, governance, and production‑grade CI/CD for AI workflows; build and mentor a high‑performing platform team; and drive responsible, scalable adoption of AI across the company.