Top Tech Jobs & Startup Jobs in Seattle, WA

Owns end-to-end architecture and delivery of AI back-end networks across scale-up and scale-out systems. Leads requirements, silicon and hardware integration, optical and electrical links, protocols, performance modeling, validation, manufacturing readiness, deployment, fleet operations, and reliability. Connects networking architecture with distributed AI workloads and collective communication while coordinating engineering, suppliers, manufacturing, and datacenter teams.

Build and maintain automation, planning systems, workflows, and platform features supporting Microsoft datacenter construction and operations. Responsibilities include writing reusable code, resolving system integrations, collaborating in Agile environments, supporting project and release planning, serving as an on-call Designated Responsible Individual, and improving system reliability, observability, availability, and performance across large-scale cloud operations.

Leads complex commercial negotiations and strategic customer engagements for Microsoft technologies. Designs deal structures, pricing, licensing, and contract strategies while partnering with sales, finance, legal, operations, executives, and customers. Uses market insights and business judgment to shape deal strategy, manage risk, drive growth, and create customer-centric outcomes. The role also promotes cross-functional alignment, responsible deal-making, continuous improvement, and adoption of Azure, Microsoft 365, Dynamics, and emerging technologies.

Develop and execute manual and automated tests for Surface hardware and software features. Create scripts and tools to collect diagnostics, investigate failures, document issues in Azure DevOps, identify validation gaps, and support product issue resolution. The role also involves hardware/software integration, test automation, quality reporting, and use of AI-assisted development tools.

Lead the architecture and development of shared platform services that improve engineering productivity, reliability, performance, security, and cost. Build distributed systems, developer tools, AI-assisted workflows, automated delivery and observability capabilities. Drive initiatives from discovery through production adoption, mentor engineers, guide technical decisions, and lead cross-team efforts while integrating AI agents with appropriate evaluation, safeguards, permissions, and human oversight.

Lead product marketing quality for Microsoft Copilot by unifying customer, competitive, product, and technical signals. Partner with engineering and product teams to identify quality gaps, define evaluation frameworks, influence prioritization, assess competitors, and establish automated feedback loops. Synthesize quantitative and qualitative insights into executive-ready recommendations, translating technical findings into implications for customers, marketing, and sales.

Leads AI system evaluation and experimentation for Microsoft 365 Copilot. Develops metrics, scalable data pipelines, dashboards, and analytical tools; applies statistics, machine learning, and data mining to large datasets; investigates quality regressions; partners with engineering, research, and product teams; communicates findings; establishes responsible AI measurement practices; and mentors other scientists.

Lead and grow a software engineering team to design, build, and operate highly available, low-latency Responsible AI and AI service infrastructure. Drive architecture and code reviews, DevOps culture, cross-team program delivery, production readiness, and service KPIs while collaborating with engineers, scientists, and product managers.

Leads Microsoft’s Cloud and AI consumption strategy, identifying growth opportunities and translating customer, market, financial, and usage insights into strategic recommendations. Influences senior leaders, aligns cross-functional stakeholders, establishes measurable outcomes, and guides initiatives from strategy through implementation, adoption, and performance measurement. The role requires strong business and financial acumen, executive communication, and experience leading complex initiatives in cloud, AI, enterprise technology, strategy, finance, or related fields.

Leads sourcing, procurement, and commercial strategy for electrical and mechanical data center programs across the Americas. Manages supplier negotiations, long-lead equipment, demand planning, production schedules, delivery sequencing, risk mitigation, supplier performance, cost optimization, procurement governance, and capital planning. Partners with engineering, construction, finance, operations, and infrastructure teams to support retrofit programs, equipment modernization, sustainability initiatives, and reliable cloud data center deployment.