Top Tech Jobs & Startup Jobs in Chicago, IL

Leads enterprise-scale Customer Success and Client Support programs, driving AI-enabled workflow transformation, automation, operational improvements, and customer outcomes. Partners with executives and cross-functional teams to optimize support processes, manage at-risk customers, analyze performance data, build KPI dashboards, lead business reviews, and execute strategic initiatives. Develops SOPs, enablement materials, and training to support adoption and sustained process improvements.

Designs, develops, tests, and maintains scalable software features and services across backend and frontend systems. Collaborates on architecture with engineering, product, QA, and DevOps teams; contributes to CI/CD, monitoring, testing, and operational reliability. Requires C#/.NET and API expertise, cloud platform familiarity, Docker, AI development experience, and strong communication and problem-solving skills.

Contract role supporting Talent Acquisition with multi-channel technical sourcing, high-volume interview scheduling across time zones, agency relationship management, and meticulous ATS documentation. Build candidate pipelines, coordinate complex interview logistics, provide candidate-facing communications, track metrics, and identify process improvements to ensure smooth, candidate-first hiring operations.

The Account Executive is responsible for managing and growing accounts through strategic planning, client collaboration, and ensuring a positive customer experience, while meeting sales goals.

Own recurring sales reporting, maintain Salesforce data integrity, produce executive and board-level pipeline and bookings metrics, deliver ad hoc analyses, support Salesforce enhancements, and drive process improvements to scale reporting and reduce manual work.

Manage end-to-end client implementations of MeridianLink software, lead onboarding and integrations, coordinate cross-functional teams, ensure on-time delivery, drive adoption, educate clients on advanced capabilities, and translate feedback to Product.

Own day-to-day AWS and database operations for a serverless production platform, manage backups and disaster recovery, monitor and debug production, lead incident response and on-call, maintain infrastructure-as-code (SST/Pulumi), optimize costs, and mentor the team on operational best practices.

Design, build, and maintain scalable batch and near-real-time data pipelines and data products using Databricks and Spark. Integrate internal/external sources, implement data models, ensure data quality, support BI (Sisense), CI/CD, and collaborate with analysts, scientists, and stakeholders to enable analytics and decision-making.

Lead a cross-functional agile engineering team while remaining hands-on in architecture and coding. Mentor engineers, coordinate with Product and QA, improve delivery practices, CI/CD, operational reliability, and cloud-based systems, and drive modernization and engineering standards.

Design, deploy, and optimize SQL Server, PostgreSQL, and MongoDB databases across cloud and on-premises; tune queries and indices; manage backups, DR, failover testing; secure and monitor systems; handle migrations, replication, clustering, and troubleshooting.