Top Tech Jobs & Startup Jobs in Charlotte, NC

Lead product strategy, roadmap, and delivery for AI-native security experiences. Partner with engineering, security research, design, and data science teams to translate emerging technologies into customer value. Establish operational readiness practices covering release governance, risk management, quality reviews, incident learning, executive readiness, onboarding, adoption, and partner success. Drive complex cross-organizational programs and ensure scalable, reliable launches and measurable customer outcomes.

Drive enterprise cybersecurity sales by identifying customer needs, building stakeholder relationships, developing solution strategies, and closing security opportunities. Manage technical, business, and partner resources to deliver customer value. Serve as a security subject matter expert, communicate Microsoft Cloud, AI, automation, compliance, identity, and Zero Trust capabilities, conduct forecasting and competitive analysis, and support account planning and digital transformation initiatives.

Drive technical sales and solution adoption through demonstrations, proofs of concept, hackathons, and architecture workshops. Partner with enterprise platform and engineering teams to design secure, scalable solutions using Microsoft Azure, Dynamics 365, Power Platform, and AI capabilities. Resolve technical blockers, influence solution architecture, support production deployments, build customer relationships, and represent Microsoft through technical thought leadership.

Leads and develops a team of Azure Solution Engineers serving public-sector customers. Coaches technical discovery, architecture design, demonstrations, workshops, prototypes, proofs of concept, and customer technical engagements. Drives Azure and AI growth, sales execution, pipeline progression, forecasting, CRM hygiene, executive relationships, and partner collaboration. Ensures secure, scalable solutions and effective transitions to deployment, adoption, and customer success.

Provides technical leadership for AI framework and model-serving initiatives at cloud scale. Owns architecture, roadmaps, performance optimization, benchmarking, observability, and multi-release execution across models, compilers, runtimes, services, GPUs, and silicon. Leads cross-team alignment, makes architectural decisions, mentors engineers, performs hands-on implementation and debugging, and drives measurable improvements in model onboarding, runtime performance, reliability, hardware utilization, and Azure capacity efficiency.

Build and verify FPGA-based networking acceleration for Microsoft Azure. Develop constrained-random SystemVerilog verification environments, test plans, test cases, assertions, sequences, constraints, and functional coverage. Automate test execution for CI/CD, collaborate with hardware and software teams using Agile methods, and occasionally support customer-reported hardware issues through on-call responsibilities.

Designs and operates controlled cyber-capability evaluations for frontier AI models and agentic systems. Builds vulnerable applications, cyber ranges, exploit-development targets, and evaluation harnesses; runs experiments; collects telemetry; analyzes model behavior and evaluation artifacts; and documents security findings. The role also develops sandboxing, containment, access, and secrets-management controls while collaborating with red-team operators, researchers, engineers, and Responsible AI stakeholders.

Lead technical pre-sales engagements for Microsoft 365 Copilot, Copilot Studio, AI agents, and cloud endpoint solutions. Deliver demonstrations, discovery sessions, whiteboarding, solution designs, and proof-of-concept support. Develop technical win strategies, address objections and blockers, collaborate with partners and internal teams, educate customers, and guide adoption while embedding governance, security, and compliance into proposed solutions.

Lead data science engagements with customers to acquire, clean, analyze, and model data; develop scalable operational models and evaluation methods; coach engineers on best practices; drive solution strategy, ethics, and industry thought leadership; write extensible code and collaborate across teams to deliver cloud-based AI solutions.

Lead architecture and hands-on development for Microsoft's virtualization platform, focusing on hypervisor and VMM capabilities. Design, implement, and optimize systems software across Windows, Linux, macOS, Azure, and containers. Improve performance, security, reliability, testing, and operational readiness; diagnose low-level hardware/software issues; enable virtualization on new silicon; mentor engineers; and influence platform strategy across teams and hardware partners.