Top Tech Jobs & Startup Jobs in Charlotte, NC

Designs, deploys, adopts, and optimizes Microsoft Copilot and Power Platform solutions for customers and partners. Advises technical and business decision-makers on cloud architectures, security, resilience, compliance, risks, and digital transformation. Identifies solution opportunities, removes deployment blockers, drives consumption and adoption, leads customer engagements, mentors team members, and influences product roadmaps through customer feedback and technical thought leadership.

Define product vision and roadmap for enterprise AI readiness within Microsoft Security. Lead cross-functional teams to build secure, customer-facing experiences across identity, devices, data, governance, and cloud, measure adoption via telemetry, engage customers and stakeholders, and drive go-to-market and operational excellence.

Leads Site Reliability Engineering teams responsible for reliability, availability, incident response, disaster recovery, automation, telemetry, security, and compliance for Microsoft Substrate services in regulated environments. Establishes SLOs and SLIs, drives operational excellence, participates in on-call rotations, leads post-incident improvements, develops senior engineers, and influences cross-organizational engineering strategy.

Lead solution sales for Microsoft Security with enterprise customers: identify opportunities, build solutions and business cases, manage senior relationships and pipeline, collaborate with partners and internal teams, forecast and pursue high-potential accounts, and obtain relevant product/role certifications.

Design and assess secure systems for Microsoft business operations: perform threat modeling and security design assessments, drive risk-based architecture decisions, communicate risk, mentor teammates, and ensure compliance with security policies and screenings.

Leads end-to-end AI model capacity programs, including demand management, prioritization, allocation, governance, forecasting, and resource optimization. The role coordinates Engineering, Finance, Product, Capacity Planning, Sales, and executive stakeholders; establishes operating processes and governance; develops dashboards and executive reporting; identifies risks and bottlenecks; and drives automation and continuous improvement to scale AI capacity operations and support customer and business outcomes.

Leads Microsoft’s strategic healthcare and life sciences accounts, driving AI and technology transformation, executive relationships, commercial negotiations, competitive displacement, account growth, and customer outcomes. Oversees complex portfolios, develops multi-year strategies, manages cross-functional teams, and coaches senior sellers and account leaders while strengthening succession and organizational capabilities.

Manages strategic customer accounts, develops and executes account plans, drives Microsoft revenue and solution adoption, and leads digital transformation engagements. Builds executive relationships, identifies upsell and cross-sell opportunities, coordinates internal teams and partners, addresses customer risks, and presents value propositions aligned with customer business objectives. Maintains strong knowledge of Microsoft’s solutions and assigned industries while achieving revenue, consumption, and customer satisfaction targets.

Designs, builds, scales, and operates distributed CI/CD services supporting millions of builds, tests, and releases. Develops code for Azure-based infrastructure spanning virtual machines, containers, and custom lab environments. Responsibilities include requirements analysis, architecture and design documentation, estimation, debugging, optimization, operational playbooks, on-call incident response, monitoring, reliability improvements, and mentoring engineers.

Drive execution and adoption of Value Acceleration Services for the AI Business Solutions portfolio. Translate strategy into scalable programs, enable field and sellers, align cross-functional stakeholders, design adoption initiatives, track performance with data-driven insights, and continuously optimize the portfolio to accelerate customer value and growth.