Top Tech Jobs & Startup Jobs in Charlotte, NC

Build and maintain a capacity management portal and observability features for ML training and inference. Partner with researchers and PMs to turn requirements into intuitive UIs, integrate backend APIs across schedulers and training frameworks, develop internal tooling, and drive architectural improvements and best practices to improve efficiency and model quality visibility.

Lead product marketing for Microsoft AI Content: craft external narratives, define AI quality standards and guardrails, own audience and format strategies globally, partner with Sales to translate capabilities into revenue narratives, and serve as a cross-functional steward aligning Product, Policy, Monetization, and Leadership.

Lead commercial strategy and execution for highly complex Defense Industrial Base accounts. Own multi-year, multi‑affiliate deal constructs, lead executive negotiations, manage financial/contractual/compliance risk, advise on cloud/government approaches, influence cross-functional stakeholders, and ensure forecast accuracy and audit‑ready agreements.

Lead and grow a developer experience team responsible for monorepo strategy, CI/CD, build systems, developer environments, and onboarding. Improve engineering velocity, CI reliability, and developer trust; establish standards, adopt AI-assisted workflows, and partner with infra/ML teams to remove friction for large-scale AI research.

Technical pre-sales role designing secure, scalable Azure architectures and migrations. Lead workshops, demos, and proofs-of-concept; guide modernization (6R, containerization, AKS, Arc); design hybrid networking and enterprise integrations; collaborate with engineering and partners to remove technical blockers and meet security and compliance requirements.

Lead customer-facing Azure cloud and AI architecture engagements: advise executives, design secure scalable solutions, drive Azure adoption, modernize applications, and enable production-scale AI across apps, infra, and data while mentoring peers and delivering technical excellence.

Develop and maintain code and automation for highly scalable M365 sovereign cloud services. Operate live sites, participate in on-call rotations, troubleshoot incidents, improve observability, design automation for deployments, and collaborate with product and security stakeholders to ensure reliability and compliance.

Design and deliver secure, scalable Azure and AI-ready infrastructure. Lead architecture sessions, drive migrations and modernization (infrastructure, databases, SAP, hybrid), ensure operational excellence, create repeatable IP, resolve technical blockers, and accelerate customer adoption and business value.

Lead end-to-end delivery of strategic data science and AI projects: define business problems with stakeholders, prepare large datasets, build and deploy predictive, prescriptive, and generative AI models (including LLMs), implement prompt engineering and fine-tuning, ensure production-grade code and ML lifecycle practices, present insights to senior stakeholders, and promote responsible AI and adoption across teams.

Lead customer success engagements by aligning Microsoft solutions (cross-cloud, Azure, Modern Work, Dynamics) to customer objectives. Build executive relationships, develop strategic roadmaps and Customer Success Plans, drive adoption and consumption, mitigate blockers, orchestrate delivery resources, and coach teams to achieve business outcomes and operational health.