Top Tech Jobs & Startup Jobs in Chicago, IL

Perform FP&A analyses including variance analysis, forecasting, budgeting, and financial modeling. Consolidate company-wide reports, manage source data queries, build Anaplan models, produce performance reports and recommendations to support business decisions and planning.

Lead end-to-end delivery of cross-functional AI/ML and SDLC modernization initiatives. Plan and drive projects, manage risks and dependencies, run Agile rituals, embed AI across requirements, development, testing, and release, and use tooling (Jira/Confluence) and engineering metrics to ensure aligned, measurable outcomes.

This role involves designing, developing, testing, and maintaining software solutions, collaborating with various teams while focusing on scalable and reliable engineering.

Lead a cross-functional engineering team with hands-on architecture and coding. Mentor engineers, drive technical execution, improve delivery practices, and collaborate with Product and QA to deliver reliable, modern cloud-based AI platform solutions.

Lead the development of AI-powered automation in a SaaS platform, focusing on strategy, customer engagement, and cross-functional delivery while ensuring compliance and product performance tracking.

Senior individual contributor owning integration architecture and API design across products. Defines API contracts, patterns, tooling, and governance; leads cross-team technical decisions; implements integration services; operates integrations on cloud (AWS preferred); mentors engineers and documents standards, RFCs, ADRs, and runbooks.

Build and maintain org-scale CI/CD, AI tooling, and sandbox/agent infrastructure. Own features end-to-end, drive adoption, instrument platform impact, mentor engineers, and ensure secure, observable, cost-controlled AI sandbox environments.

The Predictive Analytics Consultant designs and delivers analytics solutions for lending operations, focusing on predictive modeling, data transformation, and stakeholder communication.

Consult with financial institutions to analyze consumer credit and loan performance, evaluate underwriting and decision rules, develop data-backed lending recommendations, produce client reports/dashboards, and lead engagements using MeridianLink decisioning platforms and BI tools.

Lead end-to-end development of AI-native financial products for credit union members. Use and improve AI agents, build features across a TypeScript stack, integrate with third-party APIs, monitor production, and partner with design and stakeholders to deliver reliable, scalable solutions.