Top Tech Jobs & Startup Jobs in Chicago, IL

Manage HR policies and programs, advise employees and management, oversee recruiting and hiring, lead training and development, investigate workplace concerns, analyze HR data, and ensure compliance with employment laws and regulations.

Oversee and optimize business operations, including planning, coordination, data analysis, budgeting, forecasting, performance metrics, compliance, and productivity initiatives. Collaborate with finance, HR, IT, vendors, suppliers, and customers while monitoring industry and regulatory developments. The role requires strong analytical and communication skills, operations management experience, relevant education, professional certifications, and proficiency with ERP or CRM systems.

Coordinates transportation, warehousing, inventory, and delivery operations; analyzes logistics data to improve efficiency; collaborates with internal teams and external carriers, suppliers, and customers; and monitors industry trends, regulations, and best practices.

Prepare and review financial statements; manage accounts payable, accounts receivable, payroll, and accounting operations; ensure GAAP, tax, and regulatory compliance; conduct financial analysis; advise management; collaborate with finance, operations, and audit teams; and monitor accounting standards and industry changes.

Provide comprehensive financial planning and investment advice, analyze client finances, develop personalized plans, recommend investment strategies, conduct portfolio reviews, maintain client relationships, collaborate with investment and operations teams, and monitor regulatory and market developments.

Design, develop, deploy, and troubleshoot mobile applications for Android and iOS. Write clean, documented code; integrate applications with existing systems; ensure responsiveness, accessibility, security, and compliance with platform guidelines; and collaborate with cross-functional teams while staying current with mobile development trends.

Develop and optimize cybersecurity threat detection capabilities using SIEM, SOAR, EDR, NDR, streaming data, correlation logic, enrichment pipelines, and automation. Build detection rules, incident response playbooks, dashboards, and data analytics solutions while partnering with customer security, IT, OT, and incident response teams. The role also requires documenting and operationalizing cybersecurity processes, monitoring emerging threats, and improving enterprise security monitoring strategies.

Leads the design, development, deployment, and monitoring of machine learning models for financial applications. Analyzes large structured and unstructured datasets, develops scalable training workflows, and ensures model interpretability, fairness, and regulatory compliance. Collaborates with product, engineering, and business teams to deliver actionable solutions, communicates findings to varied audiences, and mentors junior data scientists. Uses generative AI, MLOps, cloud platforms, and visualization tools to drive business value.