Top Tech Jobs & Startup Jobs in Charlotte, NC

Leads Blue Team capabilities for large-scale federal cyber exercises. Designs defender workflows, hunt content, evaluation criteria, training objectives, and operational playbooks; coordinates customers, red teams, control cells, and account teams; facilitates exercises and after-action reviews; translates findings into detection improvements and remediation plans; and mentors cybersecurity personnel. The role requires cloud, hybrid environment, threat hunting, detection engineering, incident response, and cybersecurity exercise expertise, plus extensive customer engagement and 50–75% overnight travel.

Leads Microsoft’s anti-bribery and anti-corruption compliance program for datacenter construction and infrastructure development. Responsibilities include designing compliance strategies, conducting books-and-records and transactional audits, performing risk assessments, strengthening controls, developing policies and playbooks, delivering training, monitoring risks, and driving remediation. The role partners with construction, engineering, procurement, legal, and senior leadership teams across global infrastructure programs.

Analyze attacker activity across on-premises and cloud environments, identify emerging threats, produce strategic and tactical intelligence, and recommend defensive improvements. Build threat-hunting tools, automations, and prototypes; use large-scale queries to investigate suspicious activity; develop detections; and communicate findings to engineering teams, customers, and technical or executive audiences. The role requires an active U.S. Government Top Secret clearance and U.S. citizenship verification.

Leads Microsoft Services Sales account strategy across assigned accounts, managing customer and partner relationships, qualifying and closing cloud, AI, consulting, and support opportunities. Drives renewals, upsells, multi-year agreements, deal execution, contract negotiations, forecasting, and sales-to-delivery handoffs. Coordinates virtual account teams, develops close plans using BANT, aligns services with customer priorities, and supports cloud adoption, AI transformation, security, and customer success.

Leads complex datacenter network infrastructure deployments across engineering, operations, vendors, and business stakeholders. Defines technical solutions, success criteria, risks, schedules, staging plans, implementation plans, metrics, and governance reporting. Manages roadmaps, field engagements, customer support, stakeholder expectations, budgets, contracts, and continuous-improvement initiatives while ensuring secure, reliable infrastructure delivery.

Owns Microsoft’s Americas Telco partner strategy, sales performance, forecasting, and operating model across the United States, Canada, and Latin America. Drives partner growth in Microsoft AI, Azure, Microsoft 365 Copilot, Teams Phone, and Operator Connect. Builds executive relationships with Telco partners, aligns Microsoft field organizations, leads co-sell motions, governs KPIs and business reviews, and expands partner technical capabilities, investments, and cloud consumption.

Leads AI-first operating model transformation across cross-functional teams. Defines future-state workflows, requirements, and roadmaps; develops evidence-based strategies; manages agile workstreams; advises business, technology, HR, and Finance stakeholders; embeds change management; conducts experiments; and presents recommendations to senior executives. The role focuses on reimagining work, scaling effective AI-enabled operating models, and advancing organizational adoption of AI-first practices.

Lead consultative, value-driven enterprise sales to plan, orchestrate, and deliver AI Workforce solutions (Copilot, Windows 365, Viva, Agents). Build stakeholder strategies, drive pipeline, cross-sell/up-sell, and partner with internal teams to scale AI adoption and measurable business outcomes.

Leads the technical vision, architecture, and execution of AI performance, framework, benchmarking, and developer-productivity initiatives. Drives cross-team architecture, resolves complex systems trade-offs, mentors technical leaders, and contributes hands-on through prototyping, implementation, reviews, debugging, observability, and automation. Delivers measurable improvements in model onboarding speed, runtime performance, reliability, hardware utilization, and Azure capacity efficiency across models, frameworks, compilers, runtimes, systems, services, and hardware.

Leads enterprise sales for Microsoft Azure cloud and AI platforms. Develops customer-specific sales strategies, qualifies and closes complex opportunities, manages pipelines and forecasts, coordinates partners and internal teams, and advises stakeholders on AI-driven cloud transformation. Uses market intelligence, consumption data, and predictive analytics to drive adoption, expansion, renewals, and customer value. Requires strong consultative selling, enterprise relationship management, and knowledge of Azure infrastructure, data, and AI application platforms.