Top Artificial Intelligence Jobs in Charlotte, NC

Handle inbound sales calls and warm leads to consult customers on insurance needs, recommend appropriate Property & Casualty coverages, and close policies. Participate in paid remote training and licensing, work scheduled shifts (including weekends), maintain a professional home workspace with wired high-speed internet, and meet performance goals through customer-focused selling.

Leads the strategic direction of data initiatives, governance, analytics, and decision-making frameworks. Establishes growth and innovation strategies, oversees transformative data projects, maintains executive client relationships, mentors future leaders, fosters creativity, collaborates across departments, supports business development, and ensures adherence to professional data management standards.

Manages ServiceNow’s partner ecosystem across the Americas by developing partner business plans, improving partner capabilities, aligning investments, driving revenue growth, and overseeing governance. The role includes partner enablement, capacity planning, quarterly business reviews, pipeline management, remediation planning, reporting, executive alignment, customer implementation readiness, and joint marketing activities. Approximately 10% travel is required.

Provides escalated technical customer support for the vAuto product through phone and online channels. Troubleshoots hardware, software, access, and data issues; resolves routine to moderately complex problems; escalates difficult cases; documents inquiries and resolutions; follows up with customers; and collaborates with technical experts and cross-functional teams. Preferred experience includes SQL or XML investigation, Salesforce case logging, and Genesys PureCloud.

Own the full sales cycle for the Charlotte territory: prospect, develop relationships, structure and negotiate complex deals, deliver proposals and presentations, manage pipeline and forecasting in CRM, collaborate cross-functionally on underwriting and operations, and leverage AI tools to improve workflows and drive net-new business.

Lead SAP S/4 supply chain transformation as the business owner for Integrated Supply Chain Operations. Define priorities, align cross-functional stakeholders, drive process standardization, ensure business readiness/adoption, monitor risks, and deliver scalable improvements across planning, sourcing, manufacturing, logistics, and fulfillment.

Lead end-to-end pricing experimentation and strategy for consumer and business products. Design and analyze A/B tests, build pricing models and production-grade data pipelines, partner cross-functionally, and present actionable recommendations to senior leadership.

Lead legal strategy for Coinbase payments partnerships: draft, negotiate, and execute complex commercial agreements; provide business-centric regulatory guidance; partner cross-functionally to close deals; build scalable commercial playbooks and risk-mitigation strategies; manage a high-volume deal pipeline and coordinate with specialists and outside counsel.

Design, build, and scale highly available backend and frontend systems powering Coinbase trading experiences for millions of users. Architect extensible support for multiple trading types and assets, evolve critical production infrastructure, partner with product and design, and promote engineering quality through code reviews, mentorship, and knowledge sharing.

Own the full sales cycle for Fieldguide’s AI audit platform across public sector organizations, initially focusing on federal accounts. Build territory and go-to-market strategy, navigate complex government procurement processes, exceed revenue targets, develop executive and practitioner relationships, and manage multithreaded enterprise deals. Collaborate cross-functionally to shape messaging, sales processes, and market expansion into state, local, and higher education sectors. The role is fully remote in the United States with up to 30% travel.

Own the end-to-end onboarding program for new sales hires, including strategy, design, delivery, logistics, content, learning paths, certifications, and ramp milestones. Build a scalable, measurable program in a modern LMS or enablement platform, translate sales methodology into practical training, facilitate virtual sessions, assess rep readiness, and continuously improve outcomes using data and stakeholder feedback.

Build and lead enablement programs for Customer Success and Implementation teams, including onboarding, product training, continuous learning, playbooks, and AI-enabled workflows. Identify performance gaps, translate product updates into practical training, improve adoption of tools and processes, and establish feedback loops with Product, Support, Customer Education, and Product Marketing. The role supports stronger renewals, expansions, customer outcomes, and operational efficiency in a growing SaaS organization.

Lead enterprise-scale service mesh implementation across AWS EKS clusters and hundreds of microservices. Establish Kubernetes standards, operate production infrastructure, improve GitOps and CI/CD automation, support PCI DSS compliance, mentor engineers, and drive reliability, observability, capacity planning, incident response, and global platform architecture for a 24/7 SaaS environment.

Manage post-acquisition integration programs and workstreams within SailPoint’s Integration Management Office. Responsibilities include creating integration plans, tracking milestones, dependencies, RAID logs, and TSA deliverables; coordinating cross-functional teams; supporting due diligence and Day 1 readiness; preparing executive status reports; improving integration playbooks; and leading complex integrations while managing budgets, risks, and synergies.

Design, build, and operate large-scale data platforms and Spark/PySpark pipelines. Enable data integration, modeling, quality, and observability. Build MCP servers and AI-augmented tooling, mentor engineers, and lead cross-functional projects to deliver reliable data products.

Design, build, and maintain scalable Spark-based ETL pipelines and computed tables in a central data lake. Integrate structured and unstructured IoT, sensor, and external data for analytics, model training, and dashboards. Collaborate with Data Science, Analytics, and ML teams to ensure reliable, high-quality customer-facing datasets.

Lead detection, response, and digital forensics for security incidents. Monitor alerts, perform technical analysis, act as Incident Commander, build automation and runbooks, mentor engineers, and coordinate cross-team investigations and insider threat work.