Top Tech Jobs & Startup Jobs in Ann Arbor, MI

The PLC Programmer will troubleshoot and support PLC-controlled manufacturing equipment, work within Ford GVOSS standards, and assist with automation and production support in a travel position.

The Solution Architect will drive business development and client satisfaction by applying technology expertise, supporting pre-sales activities, and ensuring technical solution delivery.

Provide technical support for desktop and laptop repairs, address client queries, ensure customer satisfaction, and manage inventory effectively.

As a Shoulder Sales Representative, you will drive sales, provide technical support, build relationships with healthcare professionals, and manage a business plan within Ann Arbor territory.

The Product Designer & Consultant will lead design projects, conducting user research, creating prototypes, and collaborating with teams to deliver user-centered software products. Responsibilities include using AI tools, establishing design frameworks, and supporting client relationships.

The Pega Admin will manage Pega server installations, upgrades, debugging, code movement, server health monitoring, and coordinate system upgrades.

The Sales Administration Support will assist the sales team with order entry, customer communication, and administrative tasks while ensuring efficient processing of customer orders.

The Lead IT Consultant will develop training strategies for IS tools, provide operational support, manage international communications, and conduct training globally. Responsibilities include software deployment, customer acceptance testing, and travel to international locations for on-site consultations.

Design, develop, test, and implement document and mail-generation workflows using Quadient Inspire (Designer and Interactive). Build and optimize templates, import/migrate legacy forms, configure environments, and support upgrades. Participate in testing and provide guidance for scalable enterprise configurations.

The Principal Data Engineer will lead technical direction, manage data platforms, make architectural decisions, mentor engineers, and ensure data systems operate reliably.