Top Tech Jobs & Startup Jobs in Charlotte, NC

Lead regional go-to-market execution for Data & AI solution plays across SMB. Translate strategy into measurable GTM plans, drive pipeline and revenue, enable sellers and partners, coordinate cross-functional campaigns, synthesize market and field insights, and deliver operational excellence via reporting, dashboards, and standardized execution rhythms to accelerate customer adoption and partner-led growth.

Provide Tier 2/3 technical support for Dynamics 365 Finance & Operations across cloud and hybrid ERP environments. Troubleshoot complex, high-impact cases using Visual Studio, Azure telemetry, SQL and AI tooling; collaborate with product engineering, mentor peers, create knowledge content, drive process and product improvements, and ensure secure, compliant handling of customer data.

Partner with business, finance, and engineering teams to design and evaluate incentive compensation plans. Build scalable data pipelines, ML models, NLP and AI agents, and dashboards to generate actionable insights, perform scenario modeling, and ensure quota and compensation outcomes are explainable, reliable, and aligned to business goals.

Lead large-scale, cross-functional data center delivery programs by applying technical knowledge in mechanical, electrical, networking, and building automation systems. Drive pilots and transformation initiatives, implement templates and automation, design reporting for actionable insights, manage scope/schedule/budget/quality, and influence executive stakeholders to deliver on-time, on-budget data center projects.

Lead development and deployment of ML and AI solutions for global incentive and quota design. Partner cross-functionally to define quota strategy, build scalable data pipelines and models, create AI agents, evaluate model performance, ensure governance/compliance, and communicate insights to stakeholders to drive business outcomes.

Design, build, deploy, and operate AI-native systems and LLM-powered applications for Azure capacity orchestration. Lead architecture and design for distributed systems, write and review production-quality code, drive automation and safe deployments, integrate monitoring and on-call reliability practices, and ensure AI safety and security. Collaborate across teams and mentor engineers while shipping scalable, secure solutions.

Lead consultative, value-driven enterprise sales to plan, orchestrate, and deliver AI Workforce solutions (Copilot, Windows 365, Viva, Agents). Build stakeholder strategies, drive pipeline, cross-sell/up-sell, and partner with internal teams to scale AI adoption and measurable business outcomes.

Design and lead development of Azure platform capabilities and services. Partner with stakeholders to define requirements, produce design documents, mentor engineers, ensure reliability/observability at scale, serve as DRI and on-call, and drive consistency across distributed systems and lifecycle management.

Lead customer-facing data science engagements: manage data acquisition/cleaning, develop and evaluate scalable models, drive modeling best practices, contribute thought leadership, write extensible code, and define solution and business strategy with cross-functional teams.

Lead customer-facing data science engagements: acquire and prepare data, evaluate and operationalize models at scale, drive modeling best practices, research industry trends, write extensible code, and define solution and customer strategy while promoting ethics and privacy.