Top Artificial Intelligence Jobs in Charlotte, NC

Manage and optimize procurement processes, supplier relationships, and contracts to drive cost savings and operational efficiency. Perform cost analysis, use procurement systems, lead negotiations, monitor supplier performance, and provide reporting to support sourcing decisions and alignment with organizational goals.

Partner with automotive dealerships to drive adoption and performance of Dealertrack and Xtime solutions. Assess fixed-ops operations, recommend process improvements, identify upsell opportunities, manage at-risk accounts, and collaborate with sales and product teams to optimize service efficiency, profitability, and customer satisfaction across a regional territory.

Support Managed Services Campaign Coordinators and SEO analysts by processing and executing campaign tasks, collaborating with cross-functional teams, participating in trainings, and assisting with client communications and special projects as assigned.

Lead the Modern Digital Workplace practice, focusing on strategy, collaboration tools, AI integration, and team management to enhance productivity and employee experience.

Inbound remote sales role selling Medicare products: answer calls, assess needs, explain product differences, complete phone enrollments, document interactions in multiple systems, meet performance and licensure requirements, and complete required training and certifications.

Drive new SaaS license revenue through account and territory planning, develop C-suite relationships, orchestrate cross-functional account teams, act as trusted advisor on IT/AI roadmaps, identify and bring specialists into deals, negotiate contracts, and achieve sales targets while promoting customer success.

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.

Serve as a Senior Data Analytics Consultant specializing in Dynatrace and observability to analyze digital experience data, produce dashboards and reports, advise 4–8 enterprise clients, present findings to technical and executive audiences, configure tooling, influence product roadmap, and support client enablement and account growth.

Lead roadmap and execution for CX analytics data models, pipelines, dashboards, and regulatory reporting. Prioritize cross-functional requests, drive delivery across engineering and compliance, automate program processes, implement data quality/testing standards, and leverage AI tooling to scale impact.

Lead and grow a team of learning designers and content developers to build scalable, measurable sales learning programs. Partner with sales and enablement stakeholders to prioritize requests, set instructional standards, manage delivery, and iterate using data and feedback to improve seller effectiveness.

Lead and grow a distributed Enterprise Sales Engineering team, partner with regional sales and cross-functional stakeholders, manage pre-sales escalations, participate in customer calls, hire and develop talent, and scale the sales engineering motion to drive enterprise SaaS/IoT product adoption. Role requires travel and close collaboration with product, support, and customer success.

Design and implement secure, scalable backend services for speech inference and audio processing. Optimize networking, transcoding, latency, memory, and distributed compute orchestration. Measure and improve system performance, debug complex networking/scheduling/HPC issues, customize services for customers, and partner with Product to deliver features end-to-end.

Lead and build Deepgram's AI enablement function: prototype and ship reusable agents, MCP servers, paved-road workflows, prompt and retrieval patterns, and an enablement hub. Drive company-wide AI adoption with measurable productivity metrics, embed safe-use guardrails, partner across Platform, Security, Data, and People Ops, and grow a central team and distributed champions network.

Run and maintain Zapier's incident program operations: manage incident tooling and on-call systems, build AI-powered automations and dashboards, maintain runbooks and enablement, operate reporting and observability, coordinate cross-functional stakeholders, and drive continuous improvement to keep incident response reliable and scalable.