Top Tech Jobs & Startup Jobs in Charlotte, NC

Lead a team of SREs to operate large-scale hybrid CPU/GPU AI training and inference infrastructure. Design observability, automation, deployments, incident management, security/compliance, and collaborate with ML teams to accelerate research-to-production workflows.

Lead product efforts for Azure HPC & AI supercomputers by engaging customers, prioritizing backlog from telemetry and incidents, partnering with SREs and engineers to improve service health, build deployment strategies, and deliver AI-driven product improvements with security-by-default.

Lead global SMB strategy and execution for Microsoft Cloud & AI Platforms: define product positioning, drive partner co-sell and field enablement, translate strategy into scalable operating models, govern performance, and evangelize SMB customer value. Collaborate cross-functionally to convert field insights into actionable plans and continuous learning to improve execution and revenue outcomes.

Work directly with strategic Azure customers to design, build, and operate production-grade, cloud-native applications. Contribute to an observability-focused Azure service, own production reliability (including on-call and incident response), develop reusable engineering assets and CI/CD pipelines, and collaborate with Azure product teams to drive platform improvements and accelerate customer adoption.

Lead consultative sales engagements to drive adoption and scaling of AI Workforce solutions (M365 Copilot, Copilot Studio, Copilot Chat, Agents, ME3/ME5, Frontline Worker). Orchestrate virtual teams, develop stakeholder strategies, identify and pursue opportunities, present technical value propositions, and collaborate with internal teams and partners to cross-sell and deliver end-to-end AI workforce transformations.

Lead customer engagements to qualify and close cloud and AI opportunities on Azure. Drive sales strategy, pipeline hygiene, partner co-sell, and AI-driven forecasting. Collaborate across account teams, enable customer adoption and consumption, and act as trusted advisor to accelerate AI and cloud transformations.

Lead as a customer‑embedded principal engineer to design, build, and ship production-grade solutions. Translate business needs into technical approaches, influence senior stakeholders, accelerate delivery in ambiguous environments, and transition work to FDE crews while driving long-term account impact.

Design and build petabyte-scale multimodal data pipelines and infrastructure (text, audio, images, video). Own and maintain systems like Spark, Ray, and vector databases, partner with pre/post-training teams to improve data recipes through experimentation, and support large-scale dataset storage and processing for AI model training.

Lead data science strategy across complex customer engagements, turn ambiguous business problems into repeatable ML solutions, define modeling and evaluation standards, drive data readiness and MLOps practices, mentor teams, produce reusable IP, and represent Microsoft in executive and thought-leadership forums.

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.