Jobs at Microsoft

Leads proactive and reactive technical delivery for enterprise customers using Power Platform, SharePoint, and Microsoft 365. Evaluates customer environments, identifies resiliency and security issues, provides modernization and AI transformation guidance, and delivers data-driven recommendations. Coordinates support, account, and engineering teams, contributes to incident resolution and on-call rotations, conducts assessments and workshops, and improves service delivery processes.

Designs and demonstrates secure, scalable Azure database and analytics solutions for enterprise customers. Leads technical sales engagements, proofs of concept, hackathons, architecture workshops, migrations, and production deployments. Advises platform leaders, resolves technical blockers, collaborates with engineering, and develops expertise across Microsoft Fabric, Azure Databases, Databricks, Purview, on-premises data warehouses, Hadoop, and competing analytics platforms.

Lead and grow a solution engineering team for AI-powered Dynamics 365 business solutions. Own technical win strategy, coach demos and solution design, partner with sales to convert pipeline, enable value assessments, manage proposals, and align with partners and Customer Success to achieve revenue and deployment outcomes.

Own the technical relationship between Microsoft and customers, helping them adopt Azure and Microsoft 365 security solutions. Lead architectural design sessions, develop Zero Trust and cloud security strategies, resolve implementation blockers, improve security posture, and drive adoption of Purview, Defender, identity, access management, and threat protection solutions. Collaborate with Microsoft engineering, product, consulting, partner, and security teams while advising senior IT stakeholders and delivering secure, scalable solutions.

Lead complex enterprise customer engagements involving secure, resilient, AI-enabled Azure solutions. Advise executives and technical leaders, improve solution health, performance, and availability, resolve critical incidents, and drive cloud adoption and business value. Deliver proactive assessments, workshops, guidance, and support while collaborating with account, engineering, and support teams. Influence product roadmaps, identify growth opportunities, mentor technical talent, lead projects, and contribute to customer success strategies and on-call support.

Lead technical customer engagements for Agentic AI and cloud application platforms. Design secure, scalable, resilient architectures; conduct workshops, demonstrations, whiteboarding, prototypes, proof-of-concepts, and pilot deployments. Advise technical and business stakeholders, influence Azure adoption and technical decisions, modernize application platforms, and deliver AI transformation outcomes. Collaborate with engineering, customer success, partners, and specialists while sharing reusable architectures and best practices.

Drive revenue growth and customer outcomes for strategic enterprise energy accounts. Develop and execute account plans, engage senior stakeholders, promote digital transformation, identify new business opportunities, and orchestrate Microsoft’s cross-functional teams and partners. Build trusted customer relationships, apply industry knowledge, increase market share, and deliver sales targets across Microsoft’s AI, Copilot, Security, and broader solutions portfolio.

Leads technical pre-sales engagements for Microsoft Dynamics 365 CRM and AI solutions. Owns technical win strategies, conducts executive workshops and demonstrations, leads proofs of concept, develops migration and technical close plans, addresses compliance and security concerns, and supports competitive displacement. Collaborates with account teams, systems integrators, partners, engineering, and customer success teams to accelerate enterprise sales, adoption, and deployment outcomes.

Leads enterprise AI workforce transformation by redesigning operating models, business processes, employee roles, and human-agent collaboration. Designs and deploys AI agents, develops AI literacy and retraining programs, embeds adoption into performance and onboarding systems, and protects employee privacy. Directs readiness assessments, change programs, AI councils, champion networks, global training, stakeholder workshops, and adoption analytics to ensure sustained behavioral change across large organizations.