Top Tech Jobs & Startup Jobs in Charlotte, NC

Design, build, test, deploy, and operate scalable cloud-native applications, distributed services, data platforms, and AI-powered experiences. Develop frontend and backend solutions, APIs, workflows, data pipelines, and LLM-enabled capabilities using Azure technologies. Create technical designs, modernize platforms, improve reliability and observability, support production operations, and collaborate across teams while mentoring engineers and maintaining secure, compliant development practices.

Lead design and analysis of large experiments and observational studies; select causal inference methods; develop and productionize ML and causal models; set experimentation best practices; influence metrics and measurement; mentor junior data scientists; present results to senior stakeholders.

Drive Databricks adoption on Azure by leading architecture reviews, proofs of concept, and production deployments. Advise customers and partners on data, analytics, and AI architectures; resolve technical blockers; promote security, governance, reliability, and operational excellence; create reference architectures and reusable IP; and collaborate across sales, engineering, and partner teams to accelerate cloud consumption and measurable customer outcomes.

Supports Microsoft partners with AI Cloud Partner Program issues by investigating and resolving escalations, coordinating across teams, managing requests end to end, routing cases appropriately, communicating updates, and improving partner satisfaction. The role also contributes to support processes, self-help initiatives, readiness activities, and business projects.

Manages complex, high-impact customer escalations as the central coordination point across support, engineering, product, operations, sales, and leadership teams. Drives issue resolution, root-cause analysis, mitigation plans, executive communications, stakeholder alignment, and customer advocacy. Identifies systemic trends and process gaps, leads continuous improvement initiatives, conducts post-incident reviews, and mentors peers on escalation management and stakeholder engagement.

Leads strategic relationships with Microsoft distribution partners across the Americas, driving partner plans, CSP revenue, sales pipeline, cloud adoption, and profitable growth. The role manages executive stakeholder alignment, business reviews, performance forecasting, partner investments, go-to-market strategies, sales enablement, and partner skilling. It also coaches partner sales and technical teams, promotes Microsoft solution adoption, and drives achievement of Microsoft partner designations and specializations.

Resolves complex Microsoft partner escalations involving cloud commerce, licensing, provisioning, identity, and Partner Center issues. Investigates technical problems, performs root cause analysis, advises customers, and coordinates resolution across engineering, operations, support, and business teams. The role also mentors peers, delivers technical readiness programs, improves supportability, and helps develop automation and diagnostic tools to enhance Microsoft products and partner experiences.

Own the technology strategy and roadmap for a major financial services account. Advise C-suite leaders on Azure, AI, data, security, cloud modernization, and digital transformation. Identify strategic opportunities, orchestrate Microsoft engineering and partner teams, influence technology decisions, and drive Azure adoption, workload modernization, consumption, and measurable business outcomes. Build executive relationships and connect customer priorities with Microsoft’s product and innovation roadmap.

Own complex AI initiatives from architecture through production, including model selection, RAG and agentic pipelines, prompt and tooling design, safety guardrails, governance, and telemetry-based validation. Drive roadmaps, release plans, stakeholder alignment, and customer supportability while partnering with applied science and engineering teams. Serve as a trusted technical expert translating complex AI concepts into customer and business outcomes.

Manage procurement and material management for multiple datacenter construction projects: run RFI/RFP processes, negotiate contracts and change orders, oversee supplier performance and compliance, collaborate with cross-functional stakeholders, and ensure SLA-driven deliverables.