Top Tech Jobs & Startup Jobs in Chicago, IL

The Product Owner will lead product initiatives by managing the backlog, collaborating with development teams, and enhancing member engagement applications.

The Analytics Manager will lead analytics for the Payments and Identity lifecycle, manage a team of analysts, develop KPIs, and ensure data quality while collaborating with cross-functional teams.

The Sales Manager will drive B2B client growth in the East & LATAM, manage sales pipelines, and build strong client relationships while ensuring high service standards.

Design, implement, and support enterprise network infrastructure, manage Cisco and FortiGate equipment, ensure network performance and security, and coordinate with carriers and data centres.

The Senior Solution Architect will drive sales pursuits in automation, design solutions, and support the sales team by presenting to clients and analyzing opportunities.

The Named Account Executive will manage strategic accounts in the Mid West, focusing on new logo acquisition, upselling, and renewals, while collaborating with multiple departments to drive customer success and revenue growth.

The Customer Relationship Manager acts as the liaison between engineers and clients, ensuring exceptional service delivery and client satisfaction. Responsibilities include implementing service improvement plans, leading complex accounts, and customizing reporting while providing mentorship to new members.

The Senior Accountant will manage day-to-day accounting, prepare financial statements, assist in budgets and forecasts, ensure compliance, and analyze fund performance.

The Strategic Account Manager leads growth and strategy for WIC and DME accounts, managing contracts, relationships, and performance to drive revenue.

Lead ML strategy and standards as a senior individual contributor: define ML infrastructure, tooling, and lifecycle processes; establish monitoring and feature patterns; partner across platform, data, and product teams; mentor data scientists and ML engineers to scale reliable production ML systems.