Top Tech Jobs & Startup Jobs in Seattle, WA

Lead definition of scalable classical control and readout system architecture across room-temperature and cryogenic domains. Drive compute, communication, synchronization, and dataflow designs; establish HW/FW/SW co-design and partitioning; guide platform trade-offs, validation, and integration to deliver production-ready quantum control and measurement systems.

Lead and manage a team of applied threat intelligence analysts to track threat actors, translate technical findings into actionable guidance, build intelligence pipelines and tooling, partner with product and research teams, and represent Microsoft in customer briefings and industry venues.

Lead definition of system and silicon architecture for Windows devices, translating workloads and product goals into SoC/system requirements. Drive silicon roadmaps, co-design across hardware and software teams, build workload/system models, define KPIs/tradeoffs (compute, memory, power, thermal, security), and align partners and engineering teams from early definition through silicon and product execution.

Advise senior leadership on long-term company strategy through quantitative and qualitative analysis. Lead M&A and partnership evaluation, market sizing, competitive analysis, and business model assessment. Build financial models, frame strategic questions, produce executive communications, and collaborate with cross-functional partners to inform multi-billion-dollar decisions and drive strategic initiatives.

Leads end-to-end procurement operations for external staffing and third-party software. Develops outsourcing strategies, manages vendor spend, drives strategic sourcing and cost optimization, oversees contracts, budgets, invoices, renewals, supplier performance, and risk. Establishes procurement governance, reporting, standardized workflows, and operational metrics while partnering with business, finance, legal, and procurement stakeholders to consolidate vendors, simplify processes, and improve supply assurance.

Lead Microsoft Specialized Clouds planning and AI transformation programs. Own planning lifecycle improvements, governance, operating rhythms, dependency management, capacity planning, and execution measurement. Partner with engineering, AI, data, finance, security, compliance, and operations teams to deliver AI-enabled workflows, agentic capabilities, and automation. Drive cross-team alignment, experimentation, adoption, executive communication, and continuous improvement while maintaining security, quality, reliability, and human oversight.

Lead financial modeling, business analysis, forecasting, budgeting, and resource allocation for Microsoft’s Copilot, Agents, and Platform Finance team. Partner with engineering, procurement, and senior leadership to optimize investments, analyze business health, model trade-offs, manage finance rhythms, and align spending with product roadmap priorities. Use data and AI tools to improve insights, planning efficiency, and executive decision support.

Architects long-term AI scale-up networking systems, including switches, topologies, ASICs, optical and electrical interconnects, and AI cluster fabrics. Leads architecture tradeoffs involving performance, scalability, reliability, power, cost, and serviceability; defines requirements and design guidelines; develops capacity and TCO models; evaluates emerging technologies; and guides cross-functional hardware, silicon, software, firmware, operations, and partner teams.

Develop and operate large-scale, low-latency Azure cloud services for hardware health monitoring, anomaly prediction, telemetry, reliability, and performance. Evaluate and implement AI technologies, including LLMs, embeddings, RAG, and custom machine learning models, to improve firmware and hardware. Lead root-cause analysis, service restoration, testing automation, security and compliance, production deployment, and analytics reporting.

Lead finance for Microsoft’s Security ACR business, owning close reporting, business-health analysis, KPI development, annual planning, forecasts, and fiscal-year outlooks. Partner with Azure, engineering, marketing, sales, field finance, and executive stakeholders to assess customer adoption, revenue growth, risks, and opportunities. Translate product and business-model changes into financial insights, influence strategic decisions, and improve execution across global security products and services.