Top Tech Jobs & Startup Jobs in Chicago, IL

Reviews closed mortgage loan files for completeness, underwriting and mortgage insurance compliance, and insurability. Manages a loan pipeline, interprets DU and LP findings, identifies discrepancies, researches guidelines, and resolves post-closing exceptions with internal and external stakeholders. Supports quality control, process improvement, accurate issue tracking, and regulatory compliance while maintaining confidentiality and meeting productivity standards in a remote environment.

Build and own the technical roadmap: design AI-first interfaces and APIs, architect scalable ETL pipelines, develop data models for ML features, ship autonomous B2B workflows (PO generation, vendor sync, schedule optimizations), and establish engineering standards, CI/CD, and mentoring.

Architects FHIR-compliant clinical data models and develops harmonization, enrichment, and validation strategies across EHR, HIE, and claims data. Maintains clinical ontologies and value sets, ensures data accuracy and longitudinal integrity, and documents technical requirements for engineering teams and stakeholders. The role requires advanced Python and SQL skills, healthcare interoperability expertise, and experience with clinical informatics or data integration.

Own clinical quality for member-facing AI products by partnering with product, engineering, and clinical teams. Design clinical AI evaluations, define quality thresholds and rubrics, assess accuracy, omissions, hallucinations, medication-safety risks, and translate clinical reasoning into prompts and decision logic. Monitor evolving evidence and standards of care, validate product launches, and communicate findings to technical and clinical audiences.

Own corporate FP&A forecasting, consolidations, cash flow planning, reporting, and financial modeling. Partner with Accounting and cross-functional leaders to analyze variances, improve forecast accuracy, support executive and Board reporting, and guide resource allocation. The role also enhances planning processes, automation, and models covering stock-based compensation, capital expenditures, collections, share count, and long-range planning.

Lead end-to-end AI improvement initiatives by assessing workflows, identifying automation opportunities, gathering stakeholder requirements, designing and integrating AI-powered solutions, and managing deployment and adoption. The role also includes process redesign, executive communication, internal AI enablement, responsible AI governance, privacy, access controls, and measuring post-implementation business impact.

Leads the North Central regional sales team, key account and builder strategies, financial planning, forecasting, P&L management, and profitable growth. Develops sales talent, manages retail and dealer relationships, monitors competitors, strengthens brand positioning, and executes regional plans across premium luxury appliance channels. The role requires travel throughout the region and occasional travel to headquarters.

Supports executives and stakeholders in defining business problems, requirements, processes, and success metrics for data, AI, and digital transformation initiatives. Identifies automation opportunities, specifies AI and data requirements, facilitates workshops, supports pilots and change management, partners with technical teams, oversees UAT, and maintains client relationships. Uses generative AI to accelerate analysis and documentation while validating outcomes and coaching project teams.

Drive partner health, product adoption, onboarding, training, and long-term engagement for cybersecurity clients and partners. Provide technical support, prepare partner reviews, document processes, collaborate with GTM and Product teams, and track customer health and KPIs using ChurnZero. The role requires customer-facing technical expertise, security-industry experience, strong communication, analytical skills, and independent remote work capability.

Own end-to-end Lyric deployment workstreams from planning through go-live. Manage project plans, meetings, timelines, budgets, risks, UAT, customer adoption, training, and post-launch monitoring. Partner with executives, engineers, and supply chain operators to translate business needs into platform solutions and ensure successful delivery.