Top Tech Jobs & Startup Jobs in Charlotte, NC

Lead technical strategy, architecture, and multi-year roadmaps for networking supporting hyperscale AI training and inference infrastructure. Evaluate InfiniBand, RDMA, Ethernet, switches, optics, and interconnect technologies; translate AI workload needs into system requirements; influence suppliers and cross-functional stakeholders; and drive initiatives from proof of concept through qualification, production deployment, and lifecycle improvement. Establish performance and reliability metrics while resolving technical, operational, supply, and execution risks.

Leads Microsoft commercial fiscal-year planning content strategy, governance, orchestration, and audience experiences. Translates business strategy and leadership decisions into executive narratives, manager resources, field materials, and individual contributor guidance. Coordinates stakeholders, milestones, dependencies, risks, approvals, and delivery across global and regional teams. Improves content usability, accessibility, discoverability, and adoption while driving readiness and continuous process improvement, including responsible AI-enabled efficiencies.

Define architectural direction for Azure Specialized platform services and lead the design of highly available distributed cloud systems. Drive reliability, scalability, observability, security, diagnostics, and operational improvements across engineering organizations. Establish service health frameworks, SLOs, metrics, and governance for mission-critical services. Mentor engineers, influence technical strategy, resolve complex cross-system challenges, and advance AI-assisted troubleshooting and platform modernization.

Own Windows Consumer Retail strategy across North America, including category strategy, P&L, assortment, programs, investments, and performance management. Drive unit growth and market share against Mac and Chrome while coordinating Retail, OEM, Silicon, Sales, Marketing, Worldwide, and Finance stakeholders. Lead and develop a team of Senior Category Managers, manage hiring plans, and transform business operations through AI-enabled insights and execution.

Drive enterprise sales of Microsoft AI workforce solutions, including Microsoft 365, Copilot, and AI agents. Engage senior business and technology leaders, identify transformation opportunities, build business cases, manage complex sales cycles, develop pipeline, forecast accounts, and orchestrate Microsoft teams, services, customer success groups, and partners to accelerate adoption and measurable business outcomes.

Perform offensive security research and engineering for Windows: discover vulnerabilities, develop PoC mitigations and tools (fuzzers/agents), conduct code and design reviews, partner with product teams, and engage external researchers to improve OS security.

Owns AMER inventory governance, optimization, and portfolio risk management for datacenter construction procurement. Leads inventory utilization, reduction, allocation, audits, risk mitigation, and executive escalation. Facilitates weekly S&OE governance, integrates demand and supply risks, tracks actions, and partners with planning, procurement, engineering, project controls, suppliers, and site teams to resolve constraints and improve execution consistency.

Design, implement, test, and maintain cloud-scale services and platform components for security‑critical, highly regulated environments. Collaborate with security, operations, and compliance teams, respond to incidents and on‑call rotations, apply secure‑by‑design principles, and support service reliability and operational excellence.

Leads strategic sourcing, contract negotiations, commercial management, supplier performance, and risk mitigation for general contractors and critical service providers supporting large-scale data center construction. Partners with Legal, Construction, Cost Management, Engineering, Procurement, and Operations teams to manage contracts, changes, claims, compliance, forecasting, and continuous improvement. Oversees executive stakeholder relationships and ensures suppliers deliver against project, budget, schedule, and performance requirements.

Design, build, and operate distributed storage and file-system platforms for cloud-scale AI training and inference. Architect storage and caching for Kubernetes and GPU workloads, improve performance, reliability, observability, and resiliency, diagnose cross-layer production issues, and lead architecture reviews. Partner across infrastructure, networking, operating systems, and AI platform teams while mentoring engineers and shaping long-term storage strategy.