Top Tech Jobs & Startup Jobs in Ann Arbor, MI

Lead design and solution architecture for SAP S/4 Fashion OTC processes. Configure Order Management, Delivery, Billing, Returns, and integrations (POS, CAR, EDI). Drive fit-to-standard workshops, prepare WRICEF and test plans, support data migration (Syniti), integration testing (CPI), deployment, and post-go-live stabilization. Mentor junior staff and collaborate with vendors and integration/data teams to enable omnichannel and real-time inventory capabilities.

Lead end-to-end enterprise implementations of the Anecdotes GRC platform, translating customer needs into scalable, product-based solutions. Configure and tailor the platform, coordinate cross-functional teams, manage multiple projects, act as an internal SME, and drive successful adoption and optimization for enterprise customers.

This is an open invitation to submit your resume for future consideration within JuneShine Brands, a growing beverage company. The role emphasizes self-motivation and the ability to work in a fast-paced environment.

The Educational Consultant will deliver professional learning experiences to educators, adapt sessions for diverse needs, and maintain client satisfaction. Responsibilities include planning, delivering sessions, and collaborating with teams.

The AI Enablement Lead facilitates AI adoption in enterprises, delivering training programs, coaching sessions, and developing curriculum while engaging closely with customer leadership.

The Chief Technology Officer leads technology vision and strategy for a communications platform, overseeing engineering, infrastructure, security, compliance, and executive collaboration.

The Senior Customer Success Manager at Relo Metrics manages a portfolio of clients, enhancing client satisfaction, retention, and revenue growth while collaborating across teams to optimize product use.

The Staff Backend Engineer will own the Economic Core of Voyagu's Radar platform, focusing on financial systems architecture and ensuring revenue correctness and financial logic implementation across the system.

As a Senior Agentic AI Engineer, you'll develop core systems for AI agents, focusing on reliability, observability, and production readiness, working hands-on with distributed systems and orchestration.

Build and maintain pipelines and web scrapers to create a large case-law dataset, implement metadata extraction (citations, overruling/appeals), ensure scraper reliability, optimize core utilities, expose data via APIs/websockets, and benchmark/evaluate tasks.