Top Tech Jobs & Startup Jobs in Charlotte, NC

Lead strategy and roadmap for support tooling, prioritize build-vs-buy decisions, embed AI/LLM capabilities responsibly (agent-assist, summarization, knowledge retrieval), drive adoption and telemetry, coordinate releases across engineering and support, and align stakeholders to improve agent productivity and CSAT.

Leads global teams in developing and executing technology strategies for complex enterprise customers. Acts as a trusted executive advisor, aligns Microsoft and partner resources, develops multi-year technology roadmaps, drives digital transformation, generates demand, manages account plans and pipelines, and identifies opportunities for technology adoption and consumption. The role also coordinates stakeholders, delivers executive briefings, advocates for customers internally, and positions cloud, AI, and security solutions against business priorities.

Manages medium enterprise accounts, builds CxO and stakeholder relationships, develops account and co-sell strategies, drives pipeline, renewals, upselling, cloud consumption, and revenue forecasting. Coordinates Microsoft internal teams and partners to deliver tailored solutions, improve customer outcomes, and achieve sales targets. Serves as the customer advocate while maintaining Microsoft solution, industry, and digital sales expertise.

Set vision and standards for experimentation, causal inference, and ML; lead high-stakes causal analyses; architect scalable modeling and experimentation frameworks; advise executives; mentor senior data scientists; champion reproducibility and data storytelling; evaluate LLMs and AI agents.

Design, implement, and ensure quality of systems stack, tools, and SDK integration for AI frameworks. Collaborate with hardware and ML teams, apply engineering principles, write low-level/high-performance code, define architecture, estimate scope, and drive coding standards.

Build and improve Azure Kubernetes Service capabilities for Linux and Windows containers. Develop distributed cloud infrastructure, automation, observability tooling, and reliability improvements at global scale. Support AI-native infrastructure, including GPU orchestration, model deployment, inference, and platform operations. Accelerate engineering workflows, prevent production incidents, integrate AI tools, and contribute to Kubernetes and cloud-native platform innovation.

Designs and delivers EPMS, electrical telemetry, and industrial controls solutions for Microsoft AI datacenters. Responsibilities include defining instrumentation and communications requirements, configuring EPMS hardware and networks, developing system integrations, testing and commissioning technologies, troubleshooting complex electrical and controls issues, producing technical documentation, and coordinating with multidisciplinary engineering, vendor, commissioning, and deployment teams.

Provides technical architecture and advisory support for Microsoft Copilot and Power Platform customers. Responsibilities include post-sales presentations, demonstrations, installations, solution optimization, technical planning, stakeholder advising, and customer adoption initiatives such as prompt-engineering sessions and hackathons. The role partners with sales, engineering, solution specialists, and customer personnel to implement Microsoft 365 workloads, improve solution performance, and drive successful technology adoption.

Leads complex cybersecurity incident investigations across cloud and on-premises environments. Directs investigative priorities, coordinates threat hunters and technical specialists, communicates findings and response recommendations to executive customers, and balances containment with recovery and evidence preservation. Conducts threat research, develops analytical automation, improves data quality, mentors colleagues, and contributes to technical publications and presentations.

Design, build, and optimize production-grade applications on Azure while contributing to an observability-focused Azure service. Responsibilities include developing cloud-native systems, creating reusable engineering assets, supporting production environments through on-call participation, investigating incidents, improving reliability and performance, and influencing Azure platform engineering through customer insights. The role also involves direct engagement with strategic customers and strengthening technical capabilities across the organization.