Jobs at Microsoft

Lead system technical ownership for next-generation AI/GPU platforms from architecture handoff to production. Translate requirements into system designs, drive cross-functional execution across hardware/firmware/software/validation/manufacturing/datacenter, resolve system-level tradeoffs (performance, power, thermal, reliability, manufacturability, cost), ensure program readiness and integration, evaluate emerging datacenter technologies, and coordinate with ODMs and suppliers while communicating technical status to leadership.

Design and implement infrastructure to evaluate fault-tolerance strategies and quantum error correction codes. Collaborate with theorists, experimentalists, and engineers to develop logical and physical qubit architectures, enable scalable resilient quantum systems, and apply AI to accelerate engineering and experimentation.

Conduct research and develop novel fault-tolerance strategies and quantum error-correction codes, collaborate with theorists and experimentalists to design scalable, resilient quantum systems, drive experimentation and implementation of logical and physical qubit architectures, and apply AI to accelerate engineering and prototype development.

Define and drive architecture for a next-generation topological quantum system focused on readout, control, and orchestration software. Translate system requirements into scalable subsystem/component specs, analyze performance and scaling via modeling and prototyping, use AI tools for validation and rapid prototyping, and communicate tradeoffs across multidisciplinary teams.

Lead global IP co-sell and marketplace strategy to accelerate partner solution adoption and revenue. Develop strategic plans, KPIs, scorecards, and governance; drive cross-functional execution, executive communications, and operational improvements across sales, marketplace, engineering, and finance to scale partner-led growth.

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.

Lead end-to-end segmentation strategy for Microsoft Advertising, translating business priorities into coverage, capacity, and resource-allocation models. Build measurement frameworks, analytical models, and cross-functional alignment to operationalize segmentation into territory design, quota and capacity planning. Advise senior leaders and continuously refine models using data-driven insights to drive growth.

Generate actionable insights for Microsoft Advertising by integrating and analyzing large datasets, applying statistical methods, ensuring data governance, collaborating with internal and client teams, and presenting persuasive visualizations and narratives to influence senior stakeholders and drive ad investment decisions.

Serve as a trusted technical advisor and virtual CTO for large enterprise accounts: map business priorities to Microsoft technologies (Azure, Dynamics 365, Modern Workplace), create multi-horizon technology roadmaps, drive adoption and demand generation, orchestrate internal and partner teams, and lead AI/metaverse and security-led transformation to achieve customer outcomes and consumption goals.

Lead design of scalable regulatory, governance, and compliance frameworks for advertising; partner across product, engineering, legal, trust & safety, and ops; identify emerging regulatory risks; drive cross-organizational programs balancing customer experience and risk; create intake, prioritization, and readiness processes; produce executive narratives and strategic roadmaps; advise senior stakeholders and build global partnerships to ensure scalable, compliant solutions.

Senior individual-contributor business program manager owning CRM and seller-tooling domains end-to-end. Translate field workflows into problem statements, prioritized roadmaps, launch and adoption plans, and measurable success metrics. Partner across Product, Engineering, Sales, Data, Enablement, and Support to drive implementation, measurement, and steady-state handoff while influencing senior stakeholders and maturing operating practices.

Own strategic, multi-year account plans for high-profile customers; build C-level relationships; drive large cloud sales and partner ecosystem initiatives; orchestrate cross-functional teams to deliver digital transformation and long-term customer value.

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.

Design, build, deploy, and operate AI-native systems and LLM-powered applications for Azure capacity orchestration. Lead architecture and design for distributed systems, write and review production-quality code, drive automation and safe deployments, integrate monitoring and on-call reliability practices, and ensure AI safety and security. Collaborate across teams and mentor engineers while shipping scalable, secure solutions.

Lead consultative, value-driven enterprise sales to plan, orchestrate, and deliver AI Workforce solutions (Copilot, Windows 365, Viva, Agents). Build stakeholder strategies, drive pipeline, cross-sell/up-sell, and partner with internal teams to scale AI adoption and measurable business outcomes.

Design, build, and maintain Azure-based full-stack skilling platforms and CI/CD pipelines. Implement scalable microservices, REST APIs, automation, and AI/LLM features, improve site reliability, automate testing, and collaborate across teams to ensure secure, high-quality production deployments.

Design and lead development of Azure platform capabilities and services. Partner with stakeholders to define requirements, produce design documents, mentor engineers, ensure reliability/observability at scale, serve as DRI and on-call, and drive consistency across distributed systems and lifecycle management.

Design, build, benchmark, and operate large-scale reinforcement learning and pretraining systems on NVIDIA and AMD GPU clusters. Optimize distributed, parallel software for training models, gather compute-roadmap data, and collaborate to deliver production-grade conversational and generative AI features.

Lead data science engagements with customers to acquire, clean, analyze, and model data; develop scalable operational models and evaluation methods; coach engineers on best practices; drive solution strategy, ethics, and industry thought leadership; write extensible code and collaborate across teams to deliver cloud-based AI solutions.

Lead customer-facing data science engagements: manage data acquisition/cleaning, develop and evaluate scalable models, drive modeling best practices, contribute thought leadership, write extensible code, and define solution and business strategy with cross-functional teams.