Top Artificial Intelligence Jobs in Ann Arbor, MI

Join the Application Platform Team to build and improve backend services, ETL pipelines, GraphQL APIs, and integrations that power NodeZero. Own features, improve performance, observability, and reliability, collaborate with product and frontend teams, and support production debugging and operational readiness.

The Clinical Product Sales Specialist will enhance sales and customer satisfaction by providing clinical consulting and training, focusing on Molecular Imaging technology and developing relationships with sales teams and customers in the Northeast and Central US regions.

As a Clinical Applications Specialist, you'll provide technical training and support for GE Healthcare's PET modality, enhancing customer experience and developing training solutions while collaborating with various teams.

Serve as a technical lead on Go-to-Market partnerships: define technical strategy, validate architectures, build demos and POCs, educate and enable partners, collect product feedback, and mentor the SE team to ensure successful integrations.

As an AI Research Engineer, you'll partner with customers to advise on AI evaluation and data collection projects, design methodologies, and mentor team members in AI concepts.

The Participant Recruitment Partner will identify and engage top-tier participants, manage client-specific recruitment operations, and enhance the participant pool quality through data-driven insights and collaboration.

The Senior Account Executive will drive new business growth, manage sales cycles, prospect leads, and exceed sales targets across various sectors.

The Solutions Consultant, Post-Sales supports onboarding and customer success, provides technical assistance, and ensures effective platform implementation.

As a Software Engineer, you'll develop backend services for document verification, collaborate across teams, optimize performance, and integrate machine learning capabilities.

Lead strategy and execution for vertical marketing, defining positioning, developing campaigns, and driving revenue growth within a specific industry segment.

Owner of client implementation and adoption for Sift's revenue cycle solutions. Build strong client relationships, deliver KPI-driven insights and ROI, coordinate cross-functional teams, surface product feedback, and apply healthcare revenue cycle expertise to drive operational improvements and client value.

The Product Marketing Manager will drive product launches, manage sales enablement, and optimize customer conversion through strategic campaigns and materials. Responsibilities include overseeing go-to-market strategies, creating landing pages, producing webinars, building sales resources, and managing lifecycle emails.

The Content Marketing Lead is responsible for producing high-quality written content for marketing and sales purposes, managing thought leadership, creating sales enablement content, establishing a content system, and ensuring effective use of AI tools.

The Demand Generation & Customer Lifecycle Manager executes demand generation programs, manages customer lifecycle marketing, oversees website and SEO performance, and reports on campaign effectiveness, collaborating with cross-functional teams.

Lead end-to-end physical network deployments in data centers: translate designs to field plans, manage vendors, oversee racking, fiber routing, patching, testing, scheduling, documentation, and handover to operations.