Top Tech Jobs & Startup Jobs in Charlotte, NC

Lead technical vision and architecture for AI frameworks, performance, benchmarking, and tooling. Drive cross-team alignment, mentor engineers, ship high-performance distributed software, and improve model onboarding, runtime performance, reliability, and Azure hardware efficiency.

Lead enterprise database modernization and cloud migration strategies across SQL Server, PostgreSQL, and Azure Databases. Advise executives on architecture, platform selection, licensing, commercialization, and AI-ready data foundations. Accelerate strategic sales opportunities, competitive displacement, Azure consumption, and customer adoption. Partner with account teams, engineering, product, customer success, and partners; enable field teams; develop scalable playbooks; and provide customer and market feedback influencing product roadmaps and go-to-market strategy.

Designs and implements protocols and features for highly scalable distributed block storage, focusing on durability, availability, performance, reliability, and observability. Responsibilities include coding, optimization, debugging, design documentation, stakeholder collaboration, incident response, on-call operations, and mentoring engineers. The role requires expertise in C or C++, distributed systems, cloud backend development, multithreaded programming, and large-scale software delivery.

Lead Microsoft Services sales for State, Local Government, and Education customers. Build executive relationships, develop account and territory plans, generate and close complex consulting and support opportunities, manage renewals and expansions, maintain pipeline forecasts, and coordinate Microsoft teams, partners, legal, finance, delivery, and customer success. Apply public-sector procurement expertise and technology knowledge to connect customer missions with cloud, AI, security, data, business application, consulting, and support solutions.

Leads Microsoft Services sales for state, local government, and education customers. Owns account planning, opportunity development, consultative solution shaping, forecasting, negotiation, closing, renewals, and expansions. Builds executive relationships, navigates public-sector procurement, develops territory strategies, and coordinates Microsoft teams, partners, consulting, delivery, legal, finance, and customer success resources. Positions cloud, AI, security, data, business applications, consulting, and support services around customer mission outcomes and long-term adoption.

Design, build, test, and operate production-grade, secure, and scalable software and services. Partner with customers to translate requirements into technical designs, drive engineering best practices (CI/CD, testing, observability), deliver end-to-end solutions, lead technical workstreams, and apply AI/LLM approaches where appropriate to produce production-ready outcomes.

Owns the AMERS datacenter portfolio strategy and program-management rhythm across design, procurement, construction, commissioning, networking, capacity, and operations. The role maintains trusted milestone, risk, dependency, and capacity reporting; coordinates cross-functional initiatives; improves templates, workflows, automation, and telemetry; and drives executive-ready decisions, schedule adherence, cost control, quality, and operational reliability across large-scale infrastructure programs.

Leads strategic sourcing and contract management for complex data center construction special projects. Negotiates construction, commissioning, architectural engineering, and service contracts; develops multi-year sourcing strategies; manages suppliers, budgets, change orders, compliance, risks, reporting, and contractor performance. Partners with legal, procurement, engineering, construction, and senior stakeholders to onboard contractors, resolve issues, improve supplier capabilities, and ensure successful project delivery.

Lead end-to-end delivery of strategic data science and AI solutions for AI infrastructure. Work with telemetry and experimentation at fleet scale to build, deploy, and measure predictive and prescriptive models. Partner with stakeholders, present insights, enable adoption, and promote responsible AI. Collaborate closely with data engineers and infrastructure teams to productionize scalable ML solutions.

Lead product and program analytics for Microsoft skilling experiences. Design funnel and learner-journey analyses, define success metrics, build measurement frameworks, run experiments and causal analyses, develop competency/skill models, partner with product and engineering on telemetry, recommend content and curriculum improvements, mentor data scientists, and ensure data privacy and telemetry quality.