Top Tech Jobs & Startup Jobs in Charlotte, NC

Lead Azure AI Operations strategy and delivery for customer support. Translate customer and operational pain points into agentic AI, LLM, RAG, copilot, and automation solutions. Partner with engineering, data, product, support, and field teams to deploy, monitor, evaluate, and continuously improve AI-powered operational capabilities. Define KPIs, observability, responsible AI practices, roadmaps, and adoption strategies that reduce case volume and resolution times while improving customer experience.

Own and resolve complex customer support cases for newly launched Microsoft products. Reproduce issues using logs, traces, test environments, and experimentation; investigate root causes; communicate clearly with customers; and escalate well-defined issues to engineering when needed. Create troubleshooting guides, knowledge-base content, playbooks, and training materials. Mentor support engineers, advise customers, manage expectations, and contribute to product readiness and supportability.

Provides end-to-end technical support for Microsoft partners using the AI Cloud Partner Program. Reviews, investigates, resolves, and escalates partner issues; manages support cases, callbacks, follow-ups, routing, and action plans; collaborates across teams to improve partner satisfaction and reduce recurring issues. The role also contributes to support initiatives, self-help resources, workspace readiness, and operational excellence.

Leads consultative cybersecurity solution sales for managed customers, driving pipeline, business-value selling, strategic opportunities, partner collaboration, forecasting, and deal execution. Advises business decision-makers on security solutions, cloud platforms, competitors, and digital transformation strategies. Builds customer and partner relationships, develops joint proposals, mentors junior sellers, organizes security discussions and events, and shares cybersecurity best practices while coordinating internal teams to deliver customer outcomes.

Leads specialized sales resources serving mid-market and corporate customers. Drives digital transformation sales, deal closure, upsell and cross-sell strategies, stakeholder alignment, forecasting, territory planning, customer satisfaction, and sales delivery success. Coaches teams as a subject matter expert on technology offerings, competitors, and solution sales while removing deployment and consumption blockers through internal and external collaboration.

Leads UX engineering across design and engineering teams, translating research and product concepts into functional prototypes, reusable design systems, front-end solutions, and production-ready code. Drives accessibility, performance, security, and design consistency while influencing product direction, mentoring team members, guiding technical strategy, and collaborating on AI-powered experiences. Owns complex product outcomes, oversees design and code reviews, integrates secure-by-design practices, and supports backlog prioritization and end-to-end product delivery.

Lead large cross-group technical programs modernizing revenue recognition, billing, and financial orchestration at Azure scale. Define milestones, manage dependencies and risks, shape technical solutions with engineers and architects, translate finance requirements into build-ready specifications, and prototype with AI to validate designs. Drive disciplined execution, make trade-offs explicit, and partner with senior finance, business, and compliance stakeholders.

Leads complex commercial sales and negotiation strategies for strategic customer accounts. Develops customer-centric offers, pricing scenarios, contract structures, and close plans to drive revenue, cloud adoption, renewals, and growth. Advises internal and external stakeholders, coordinates account and partner teams, assesses deal, legal, profitability, and compliance risks, and ensures adherence to commercial policies and regulatory requirements. Coaches sales teams and uses AI-enabled tools and sales metrics to improve pipeline conversion and deal outcomes.

Set vision and standards for experimentation, causal inference, and ML; lead high-stakes causal analyses; architect scalable modeling and experimentation frameworks; advise executives; mentor senior data scientists; champion reproducibility and data storytelling; evaluate LLMs and AI agents.

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.