Top Tech Jobs & Startup Jobs in Chicago, IL

Lead supplier quality improvement and SCAR program ownership. Drive data-driven assessments, RCA/RCCA investigations, predictive analytics and dashboards, and cross-functional supplier development to reduce defects, customer escapes, and delivery disruptions.

Lead project engineering for Advanced Power Systems R&D and technology maturation. Define schedules, budgets, IMS, track milestones, mitigate technical/programmatic risks, coordinate cross-functional teams, and communicate program status to leadership and customers to transition technologies into product development.

Lead business development for advanced electromagnetic defense technologies (up to TRL6). Conduct market research, shape customer requirements, build strategic partnerships, pursue external funding, manage pursuit process from concept to contract award, develop proposals and presentations, and maintain a prioritized multi-year pipeline while collaborating with internal technical teams and stakeholders.

Defines project scope and specifications, develops test programs, examines samples for UL compliance, coordinates lab activities and technicians, communicates results to clients, and supports development of test methods and UL requirements. May serve as project handler and travel to client sites for testing.

The Product Manager will guide the vision and strategy for industrial cybersecurity products, ensuring alignment with business objectives and market needs, while managing the product lifecycle and cross-functional team engagement.

Own and deliver high-value AI use cases end-to-end by embedding in business workflows, partnering with AI engineering pods, ensuring integrations (SAP, Salesforce, Databricks, Distyl), driving adoption, measuring business outcomes, and enforcing Responsible AI, security, and governance standards.

Manage a defined territory to meet sales quotas by engaging existing customers on legacy platforms, prospecting, conducting consultative demos with solution consultants, negotiating and closing deals, maintaining CRM and forecasts, and driving pipeline growth through outreach and marketing activities.

Lead and develop a team delivering data conversion for customer implementations. Drive adoption of AI and automation, manage complex/at-risk migrations, track KPIs, and improve processes through experimentation and transformation.

Lead and manage the derivatives operations function, overseeing futures/options clearing, trade allocation, physical delivery, exception management, controls, and process improvements. Drive risk management, regulatory readiness, automation, metrics-driven decision making, stakeholder collaboration, and team development in a high-volume, time-sensitive environment.

Lead and scale a detection engineering and automation team to develop, deploy, tune, and optimize high-fidelity detections across endpoint, identity, network, and cloud. Drive detection strategy, SIEM/EDR/SOAR integration, cloud-native detection capabilities, automation to reduce analyst toil, cross-functional alignment, metrics reporting, and executive communication of detection posture and risk.

The Engineer will work on CIAM architecture, design, implementation, and administration. Responsibilities include integration of IAM systems, documentation, solution design, and collaboration with various teams.

The Data Scientist role focuses on developing analytic solutions for financial services clients, involving programming, statistical analysis, and project management to address credit risk and business intelligence needs.

Lead development and implementation of conversational and agentic AI solutions for contact centers. Manage cross-functional teams, translate client requirements into technical specs, design responsive UIs using AngularJS/React/Vue, run usability testing, apply human-centered design, and mentor junior staff while building client relationships to ensure successful delivery of AI-driven products.

Lead large-scale operations consulting engagements for health services clients, design and implement strategic process improvements, apply analytics and change management,coach teams, engage stakeholders, conduct market research, and drive operational excellence and business transformation.

Lead clinical operations consulting engagements for health services clients: analyze operations, identify improvements, design and implement process optimization, guide strategic planning, mentor teams, ensure data integrity and compliance, and drive stakeholder engagement to achieve operational excellence.

Provide end-user support via Jira Service Management, assist with systems administration (network, server, cloud), support device provisioning and lifecycle, create training and documentation in Confluence, and develop basic scripting for automation under senior staff guidance.

Lead product operations and roadmap for Cat Central, coordinating 2-3 scrum teams and stakeholders to improve onboarding, authentication, and adoption. Drive backlog priorities, cross-team dependencies, ways of working, metrics with Data & Analytics, and ensure high-quality mobile-first customer experiences.

Lead design, development, prototyping, and scaling of emerging-technology software solutions (generative AI, RAG, LLMs). Architect secure, observable cloud-native systems, mentor engineers, define evaluation metrics, and collaborate with product, data, security, and operations to productionize innovative capabilities.

Develop and maintain Python data pipelines and CI/CD deployments to build business data objects. Interpret design requirements, implement source-to-target mappings, write unit/integration tests, and resolve complex application issues while promoting software quality and team improvement.

Serve as an embedded domain IT Project Manager supporting a product domain: run syncs and standups, manage quarterly planning and capacity, track features/epics, manage dependencies, ensure Jira/Confluence hygiene and reporting, surface risks and status to leadership, and guide change management and process adherence.

Maintain and improve Linux-based production systems, automate deployments with Salt and Ansible, manage containerized stacks (Docker/Kubernetes), monitor and harden systems, troubleshoot incidents, partner with engineering for maintenance, and support infrastructure components like VMWare, SAN, backups, Kafka, MongoDB, and RabbitMQ.