Top Tech Jobs & Startup Jobs in Seattle, WA

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.

Advise CoreAI senior leadership on integrated people strategy, including workforce planning, organization design, succession, talent management, rewards, inclusion, culture, and employee experience. Lead organizational transformation and change initiatives, coach executives, partner with People Team Centers of Excellence, and develop HR professionals. Shape operating models, leadership effectiveness, capability planning, and enterprise-wide people solutions in a complex AI engineering environment.

Leads large, cross-organizational silicon, systems, and AI programs for Microsoft cloud infrastructure. Responsibilities include developing technical strategies and roadmaps, integrating AI into silicon development workflows, managing governance, risks, schedules, and releases, establishing scalable operating models and metrics, aligning executive stakeholders, and mentoring senior technical program managers. The role also partners with engineering teams to prioritize requirements, improve operational efficiency, and deliver secure, responsible AI capabilities at enterprise scale.

Develops and validates hardware systems for Microsoft Azure cloud infrastructure. Responsibilities include designing system validation plans, test frameworks, automation, debugging methodologies, and benchmarking tools for CPU/GPU server platforms. The role performs hands-on laboratory validation, troubleshoots hardware, firmware, driver, and operating-system issues, collaborates with OEMs and ODMs, and develops software, libraries, and drivers. It also supports DevOps activities and occasional production on-call resolution.

Design, build, and operate large-scale, highly available platform services across GitHub (Actions, Enterprise AI, Identity, Billing, Git systems, database infrastructure). Provide technical leadership, mentor engineers, own architecture and APIs, participate in on-call incident response, drive reliability, security, testing, and roadmap decisions across cross-functional teams.