Top Artificial Intelligence Jobs in Boise, ID

Join the AI-enabled Go-To-Market team as a Senior Business Development Representative, focusing on outbound sales, managing AI prospecting tools, and closing business with pro accounts and mid-market enterprises.

The Staff Engineer at Pager Health leads system design, mentors engineers, manages projects, and collaborates with cross-functional teams to develop scalable healthcare applications.

The Strategic Customer Success Manager will manage relationships with key healthcare clients, drive retention and expansion, offer strategic insights, and collaborate cross-functionally to enhance customer satisfaction and company growth.

The Engineering Manager for Forecasting and Scheduling will lead a team in developing algorithms and user interfaces to optimize workforce management, combining technical direction with product decisions while collaborating with various teams.

As an Account Executive, you'll manage sales cycles, engage with insurance accounts, drive upsell and new opportunities, and negotiate complex deals.

Drive partner marketing strategy and execution, collaborating with sales teams to create integrated marketing plans and measure success. Maintain relationships with partners and align marketing programs with revenue objectives, while managing budgets and achieving quarterly targets.

The Client Integration Enablement Specialist drives client integration, ensuring seamless onboarding and activation of healthcare workflows, optimizing technical implementations across various platforms.

The Principal Product Manager for Connected Devices will lead vision, strategy, and execution for AI-powered camera products, collaborating across engineering and product teams to optimize their performance and enhance customer safety.

As a Manager of Cloud Software Engineering at Coupa, you will lead AI platform DevOps, manage global teams, and oversee agile delivery while ensuring technical quality and innovation.

The Pre-Sales Solution Engineer collaborates with sales teams to understand customer needs, demonstrate TrakSYS solutions, and ensure technical feasibility through PoCs and tailored implementations.