Jobs at Microsoft

Lead multiple support engineering teams to resolve technical customer issues, drive operational excellence, mentor managers, own escalations and incident response, and partner on product/process improvements, AI adoption, readiness, and security across the organization.

Lead and coach a high-performing AI-focused sales team to meet targets, drive solution sales and pipeline, deploy customer solutions, share best practices, partner with stakeholders, and align execution with corporate priorities to accelerate AI transformation and customer impact.

Serve as a technical expert supporting Exchange Online and hybrid Exchange environments: diagnose and resolve complex incidents, use PowerShell and diagnostic tools, collaborate with engineering, improve processes and knowledge content, and follow secure troubleshooting and compliance standards to ensure excellent customer outcomes.

Owns and resolves escalated, account-aligned customer incidents by coordinating engineering, operations, vendors, and stakeholders. Manages expectations, communicates status to leadership and customers, mentors teammates, identifies systemic issues, drives process improvements, and supports strategic projects to improve resolution times and customer satisfaction.

Owns and resolves high‑severity customer escalations by coordinating engineering, operations, and partner teams; mentors peers; communicates status to leadership and customers; identifies trends and drives process improvements to reduce resolution time and improve support experience.

Lead a global technical sales organization for Microsoft Channel partners to drive partner transformation to AI-first, services-led businesses. Coach and manage cross-solution partner architects, set technical strategy across Copilot, Agents, Azure and Security, orchestrate executive engagement, ensure solution quality and operational readiness, drive partner-led consumption and pipeline discipline, surface partner insights, and build scalable IP and enablement models to accelerate customer adoption and partner profitability.

Provide technical support for newly launched Microsoft products: triage and reproduce issues, drive resolution, escalate with clear problem statements, create readiness assets, mentor peers, and maintain customer communication.

Provide technical case resolution for customers by troubleshooting complex issues, using analytics and AI-supported diagnostics, escalating defects, and collaborating with engineering. Improve documentation, create and share readiness content, and drive process improvements. Adhere to secure troubleshooting, compliance, and privacy standards while mentoring peers on AI-assisted troubleshooting.

Provide Tier 2/3 technical support for Dynamics 365 Finance & Operations and other ERP platforms. Perform advanced troubleshooting using Visual Studio, Azure telemetry, SQL, KQL and diagnostic tools. Resolve finance, supply chain, deployment, integration, upgrade and performance issues; escalate to engineering as needed. Create technical documentation, mentor peers, and participate in onboarding and readiness activities.

Lead and coach specialized sales resources to drive digital transformation, close new business, and build upsell/cross-sell engines. Orchestrate deal closure, align internal stakeholders, enforce forecasting, and ensure delivery success across assigned territory. Provide technical subject-matter expertise and competitive insight to inform pursuit decisions.

Design and build petabyte-scale multimodal data pipelines and infrastructure (text, audio, images, video). Own and maintain systems like Spark, Ray, and vector databases, partner with pre/post-training teams to improve data recipes through experimentation, and support large-scale dataset storage and processing for AI model training.

Lead data science strategy across complex customer engagements, turn ambiguous business problems into repeatable ML solutions, define modeling and evaluation standards, drive data readiness and MLOps practices, mentor teams, produce reusable IP, and represent Microsoft in executive and thought-leadership forums.

Design, build, and ship frontend, backend, or full-stack services that leverage AI/LLMs to improve M365 user experiences. Define scenarios, architect solutions, mentor engineers, lead technical projects, and collaborate with product, design, and partner teams to deliver customer-focused innovation.

Lead regional go-to-market execution for Data & AI solution plays across SMB. Translate strategy into measurable GTM plans, drive pipeline and revenue, enable sellers and partners, coordinate cross-functional campaigns, synthesize market and field insights, and deliver operational excellence via reporting, dashboards, and standardized execution rhythms to accelerate customer adoption and partner-led growth.

Provide Tier 2/3 technical support for Dynamics 365 Finance & Operations across cloud and hybrid ERP environments. Troubleshoot complex, high-impact cases using Visual Studio, Azure telemetry, SQL and AI tooling; collaborate with product engineering, mentor peers, create knowledge content, drive process and product improvements, and ensure secure, compliant handling of customer data.

Partner with business, finance, and engineering teams to design and evaluate incentive compensation plans. Build scalable data pipelines, ML models, NLP and AI agents, and dashboards to generate actionable insights, perform scenario modeling, and ensure quota and compensation outcomes are explainable, reliable, and aligned to business goals.

Lead large-scale, cross-functional data center delivery programs by applying technical knowledge in mechanical, electrical, networking, and building automation systems. Drive pilots and transformation initiatives, implement templates and automation, design reporting for actionable insights, manage scope/schedule/budget/quality, and influence executive stakeholders to deliver on-time, on-budget data center projects.

Lead development and deployment of ML and AI solutions for global incentive and quota design. Partner cross-functionally to define quota strategy, build scalable data pipelines and models, create AI agents, evaluate model performance, ensure governance/compliance, and communicate insights to stakeholders to drive business outcomes.

Lead architecture and development of large-scale VM management and monitoring platforms for Azure. Provide technical leadership, design documentation, debugging, performance tuning, operational excellence, mentoring, on-call monitoring, and adoption of AI-assisted workflows to improve reliability, availability, security, and observability across Windows and Linux environments.

Design, develop, and optimize high-performance, low-latency networking infrastructure for large-scale AI training on Azure. Benchmark, debug, and improve scalability, reliability, observability; author design documents; act as DRI and participate in on-call operations.