Top Hybrid Jobs in Ann Arbor, MI

The role involves supporting product sales as a technical expert, leading workshops, providing product demonstrations, and collaborating with teams to align solutions with customer needs.

Lead software integration, debugging, CI/CD and release activities for automotive embedded systems. Specify requirements, perform design analysis, mentor engineers, resolve build anomalies, and ensure end-to-end software/system verification.

Provide customer service and clerical support for vehicle title processing: file and retrieve titles, run and send reports, perform data entry, interact with clients and internal teams, and support daily administrative tasks.

Responsible for servicing local clients and agencies, developing marketing activities, maintaining customer records, and driving local ad sales revenue.

The Purchasing Intern will support the Purchasing department by identifying cost-saving opportunities, enhancing supplier relationships, and gaining exposure to procurement processes in an automotive manufacturing environment.

The Product Marketing Manager at Dealerware will own the go-to-market strategy and sales enablement for automotive SaaS products. Responsibilities include developing product positioning, producing customer-facing deliverables, conducting market analysis, and ensuring sales readiness.

As a Healthcare Account Manager, you will develop relationships with healthcare customers to achieve sales growth, leveraging market data and company resources to meet customer needs while managing inventory tasks.

Sales Engineers at KDDI America will communicate with customers to identify needs, create IT solutions, manage projects, and maintain relationships with partners while emphasizing product features through presentations.

Develop and support Machine Learning models for autonomous driving, collaborating across teams and ensuring high-quality experimentation and code, with a focus on cutting-edge AI solutions.

Lead design and delivery of enterprise-scale AI systems (including RAG and multi-agent architectures), drive AI strategy and POCs, embed solutions with business units, mentor engineers, establish MLOps/LLMOps practices, and scale prototypes into production.