Top Tech Jobs & Startup Jobs in Seattle, WA

Design, build, and operate highly available cloud security services for sovereign/government clouds. Collaborate across teams to ensure reliability, scale, and performance; automate CI/CD and service scaling; investigate and fix production issues; participate in periodic on-call rotations within a secure facility.

Define and execute go-to-market strategy and messaging for Microsoft Defender. Partner with product, sales, and engineering to create customer-facing content, enablement, and launch plans. Translate technical capabilities into clear value propositions, provide competitive insights, and drive adoption through cross-functional coordination and AI-powered content tools.

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.

Build and ship AI-first growth experiments and scalable systems to drive acquisition, activation, engagement, and retention. Design and evolve A/B testing frameworks, instrumentation, metrics, and tooling; partner with Product, Data Science, Design, and Research to iterate quickly and scale successful patterns across global, high-traffic AI products.

Lead manufacturing engineering for Microsoft cloud hardware: plan factory capacity and layouts, manage suppliers and production risks, standardize processes, implement quality systems (SPC, vision, automation), lead root-cause analysis and continuous improvement (8D, Six Sigma, DFMEA/PFMEA), drive AI/ML and predictive maintenance adoption, validate designs for manufacturability, and deliver metrics and governance for mass production.

Own product strategy and roadmap for a major area of Azure Logic Apps. Align engineering, design, and GTM; engage enterprise customers and partners; write technical specs; make tradeoffs on latency, throughput, durability, security, and cost; represent Microsoft publicly; and partner across Azure integration services to deliver integrated enterprise-grade solutions.

Design, build, and operate enterprise-scale Microsoft Fabric data platform components and semantic models. Engineer scalable ELT pipelines, tune Spark/Delta workloads, enable secure governed data products, improve platform reliability and observability, and accelerate AI-native engineering with agentic workflows to support analytics, automation, and AI at scale.

Lead architecture and development of SoC validation firmware, debug infrastructure, and IP-level firmware libraries. Drive silicon bring-up, boot flow and memory training, root-cause complex HW/FW issues across RTL and firmware, and technically lead a small engineering team to deliver server-class SoC features into validation and manufacturing.

Lead strategic customer engagements for AI products in highly regulated, air-gapped cloud environments. Translate complex customer requirements into product strategy, roadmaps, and success metrics; coordinate cross-functional teams from private preview to GA; perform market/competitive analysis and drive data-informed decisions to deliver Microsoft’s AI platform for sensitive government and industry customers.

Design, develop, and operate large-scale distributed networking security services (Microsoft Entra SSE). Build secure, reliable, monitored systems using languages like C/C++/Golang/Rust, leverage AI for security and productivity, improve test coverage and integration tests, troubleshoot live-site issues, and collaborate across product and engineering teams.