Top Tech Jobs & Startup Jobs in Charlotte, NC

Manage and optimize Microsoft’s U.S. Scale Solution Provider partner portfolio. Develop go-to-market strategies, drive co-selling and customer acquisition, align sales, technical, and marketing resources, and own revenue, deployment, investment, and partner satisfaction outcomes. Engage partner executives, analyze business and financial data, assess partner maturity, and improve execution across Microsoft’s solution areas.

Design and implement AI compiler features and optimization passes, using LLVM/MLIR and related tools. Develop code generation for new hardware, optimize AI workloads, and build AI software in C++ and Python. Collaborate with hardware architects and ML developers, define requirements, estimate effort, and drive coding standards and adoption.

Lead global go-to-market strategy for Security in SME&C, designing GTM plans for Corporate, SMB and Partner segments. Drive channel and partner strategy, align cross-functional stakeholders, influence product and marketing roadmaps, define KPIs, and advise senior leadership to accelerate pipeline, adoption, and revenue.

Design and deliver large-scale, resilient AI and Kubernetes infrastructure for hybrid environments. Implement, optimize, and maintain cloud-native, container orchestration solutions; integrate AI capabilities; participate in on-call rotations; mentor engineers and drive reliability, observability, and performance at scale.

Leads enterprise-scale AI, data, and cloud architecture initiatives for federal customers. Advises executives, designs Azure-based generative AI and agent solutions, modernizes document-intensive workflows, and governs secure, compliant, scalable architectures. Drives customer adoption, technical strategy, pre-sales opportunities, value realization, risk management, reusable intellectual property, and architectural community development. Mentors technical teams and ensures production solutions incorporate evaluation, observability, traceability, security, and human review controls.

Design and implement PostgreSQL internals and indexing/query features for large-scale document workloads, extend query engine with BSON-aware operators and custom scan nodes, tune index pruning and storage, profile distributed systems for performance, collaborate with open-source DocumentDB/PostgreSQL communities, and participate in design/code reviews.

Lead complex AI and application-development consulting engagements from discovery through production. Architect Azure-based AI, agentic AI, and cloud-native solutions; guide multidisciplinary teams; manage delivery risks, governance, security, Responsible AI, and stakeholder expectations. Shape proposals and statements of work, advise executive customers, mentor technical talent, and develop reusable AI-first delivery frameworks and accelerators.

Serve as the senior technical leader for complex enterprise AI transformations. Define long-term strategy, govern architecture across programs, establish standards for secure agentic systems and Responsible AI, create technical roadmaps, manage risks, resolve blockers, and influence customers, engineering teams, product roadmaps, and industry practices.

Design and deliver scalable control-plane and management services for Azure Storage at hyperscale. Lead architecture, reliability, and performance work for storage platforms that support AI workloads, adopt AI-assisted engineering practices, and own system health, incident response, and long-term technical roadmaps.

Lead complex Azure Storage initiatives for strategic AI and data analytics customers. Provide Blob Storage architectural guidance for HPC and machine learning workloads, manage cross-functional technology programs, influence technical priorities through customer feedback, mitigate risks, and improve operational efficiency. The role requires technical depth in cloud infrastructure, high-scale systems, resiliency, performance, capacity management, and production operations, along with strong stakeholder influence.