Top Tech Jobs & Startup Jobs in Chicago, IL

Lead a segment of claims operations, managing people, performance, reserving, and compliance across P&C lines. Drive expense and risk management, stakeholder partnerships, continuous improvement, and ensure regulatory adherence while serving as escalation contact for complex claims.

Protect and monitor high-value, high-security shipments using In-Transit Security protocols. Monitor shipments in EyeOnIt and McLeod, perform data entry, manage risks and escalations, update customer portals, coordinate with teams, and ensure paperwork and customer communications. Requires 2nd-shift weekend availability; training onsite in Lisle before remote work.

Manage and grow GPCC portfolio, support strategic priorities, develop KPIs, coordinate cross-functional execution, track performance and insights.

Facilitate therapeutic group sessions via Telehealth, develop treatment curriculum, and engage creatively with clients to enhance mental health recovery.

Own complex order workflows from quote-to-cash, evaluate and process customer orders for accuracy and compliance, resolve non-standard deal scenarios with Sales/Finance/RevOps, analyze order data to identify root causes, and document/process improvements to increase scalability and throughput.

Lead and manage the Park District's financial operations and business functions including accounting, budgeting, audits, payroll, investments, grants, tax levy, and compliance (GASB). Supervise IT and finance staff, oversee technology/networking needs, prepare financial reports and CAFR materials, and serve as liaison to auditors and external agencies.

Provide technical support for desktop and laptop troubleshooting, imaging PCs, resolving software issues, and managing IT assets.

The Director of Mortgage Compliance leads the compliance program, ensuring adherence to mortgage lending regulations and fostering a culture of compliance across departments.

Ripple Fiber seeks motivated Outside Sales Representatives to educate customers about fiber internet and meet sales quotas while building relationships.

The ML Data Engineer develops and maintains machine learning pipelines and systems, collaborating with teams to optimize manufacturing processes through data-driven insights and predictive models.