Top Tech Jobs & Startup Jobs in Chicago, IL

Design, develop, and maintain a native IBM i connectivity agent for Redwood RunMyJobs. Responsibilities include job submission and monitoring, spool and queue handling, CL/RPG invocation, security integration, API connectivity, troubleshooting, performance and reliability improvements, architecture, code reviews, testing, documentation, and collaboration with product and engineering teams. The role also requires validating AI-assisted solutions against authoritative IBM i documentation.

Build and maintain a Java-based connectivity agent integrating Redwood RunMyJobs with IBM z/OS. Responsibilities include JES, TSO, SMF, USS, security, cryptography, custom protocols, C/JNI integration, concurrency, troubleshooting, performance, architecture, testing, documentation, and collaboration. The role requires deep mainframe systems expertise, strong Java and C skills, DevOps experience, and sound judgment when using AI-assisted engineering tools.

The Solution Consultant drives adoption of Pareto's Savings Engine solutions through education, technical expertise, and cross-functional collaboration. The role focuses on client engagement, risk identification, and solution improvement.

Processes reverse mortgage loans from application through closing, ensuring accurate Loan Origination System data, documentation, disclosures, underwriting conditions, regulatory compliance, and timely communication among borrowers, loan officers, underwriters, funders, title companies, and settlement agents. Maintains a pipeline of approximately 50 loans, resolves issues, monitors critical dates, and meets productivity, conversion, and customer service standards.

Lead end-to-end data science implementations for manufacturing clients using Azure and Microsoft data technologies. Build and deploy predictive models, analyze structured and unstructured data, develop scalable architectures, and deliver actionable insights. Mentor junior team members, manage complex client projects, gather requirements, support proposals, and communicate technical findings to business stakeholders. The role also contributes to data strategy, automation, process improvement, and innovation while requiring approximately 10% travel.

Leads architecture and delivery of production-ready data science, AI, machine learning, forecasting, optimization, and analytics solutions on Azure. Partners with clients, translates business needs into scalable technical designs, guides modeling and deployment, and manages a Senior Data Scientist. Responsibilities include technical leadership, client engagement, model monitoring, stakeholder communication, solution estimation, mentoring, and delivery oversight across complex and ambiguous data environments.

Own the monthly sales commission process, including payout calculations, validation, adjustments, and payroll handoff. Analyze sales funnels, pipeline health, conversion, and revenue attainment while building executive reports and dashboards. Support territory design, capacity planning, and target-setting through data analysis. Improve recurring workflows with automation and AI, resolve discrepancies, document business rules, and collaborate cross-functionally across revenue and support teams.

Leads the insurance platform product team, setting strategy, roadmap, and priorities for complex regulated systems. Oversees platform modernization, migration, workflow improvements, and engineering partnerships while balancing business needs, reliability, compliance, and operational performance. Manages and develops product managers, collaborates with cross-functional stakeholders, and guides decisions involving insurance product capabilities, customer needs, and technology investments.

Owns and grows a Southwest-region customer portfolio through net-new business development and account expansion, specializing in Palo Alto Networks cybersecurity solutions. Builds executive relationships, develops territory strategy, leads opportunities from discovery through close, coordinates with engineering, services, partners, and Palo Alto Networks teams, and maintains pipeline forecasting in Salesforce. This remote, field-based role requires approximately 20% domestic travel, strong consultative selling skills, and demonstrated enterprise or mid-market technology sales experience.

Develops and manages digital video campaigns across programmatic, direct publisher, CTV, and streaming environments. Responsibilities include strategy, campaign setup, trafficking coordination, pacing, optimization, QA, reporting, performance analysis, and client-facing insights. Partners with planning, investment, analytics, ad operations, and client service teams; mentors specialists; standardizes workflows; and supports education, onboarding, and new business efforts.

Build trusted enterprise customer relationships, develop technical adoption plans, guide OutSystems development and architecture, conduct technical reviews, provide customer support, communicate product roadmaps, assist with upgrades, and advocate for customer needs across internal teams. The role requires application development or architecture experience, knowledge of IT infrastructure and networking, strong communication skills, and Spanish and English proficiency.

Own go-to-market funnel reporting, dashboards, data quality, and analysis for Sales, Marketing, and RevOps. Integrate CRM and marketing data, monitor lead scoring and attribution models, investigate funnel performance, identify root causes, and provide actionable recommendations. Maintain reporting systems, audit data hygiene and tool adoption, and communicate insights clearly to non-technical stakeholders in a remote-first SaaS environment.