Top Tech Jobs & Startup Jobs in Seattle, WA

Leads the design and delivery of enterprise-scale data, analytics, AI, Microsoft Fabric, Power BI, and data-driven application platforms. Owns analytics architecture, semantic modeling, data engineering, AI integration, governance, security, engineering standards, and technical roadmaps. Drives measurable business impact through KPIs and insights while leading architecture reviews, developing reusable patterns, and building analytics engineering, BI, data science, and technical leadership teams.

Design, develop, and operate scalable software platforms and automation for Azure network qualification infrastructure. Build tools for device provisioning, configuration, lifecycle management, testing, telemetry, and health validation. Develop AI-powered agents for troubleshooting, root-cause analysis, and engineering productivity. Create reliable distributed systems with observability, diagnostics, automated recovery, and scalability while collaborating across software and network engineering teams.

Lead Microsoft’s strategic relationship with a global systems integrator, developing joint business plans, go-to-market and co-sell strategies, pipeline, account activation, and executive engagement. Drive partner sales performance, cloud consumption, customer transformation opportunities, and complex deal execution. Coordinate Microsoft and partner sales, technical, industry, and delivery stakeholders, resolve escalations, remove execution blockers, and influence partner innovation and commercial outcomes.

Lead design and delivery of cloud-native, AI-powered data platforms, copilots, and enterprise-scale services. Architect LLM/RAG/agentic solutions, build AI-ready data foundations, create reusable frameworks/SDKs, establish Responsible AI and governance practices, and provide hands-on technical leadership and cross-team partnership to drive AI adoption and scale.

Provides technical leadership for Azure cloud-scale distributed data platforms processing network telemetry and operational data. Defines architecture and long-term technical strategy, leads streaming and batch system design, resolves complex scalability and reliability challenges, oversees production readiness and continuous improvement, and influences cross-team technical investments. Partners across Azure Networking, conducts design reviews, establishes reusable engineering patterns, improves observability and quality, and mentors engineers and technical leaders.

Leads go-to-market programs for Microsoft’s Cloud and AI Platform across the Americas. Translates business strategy into field execution plans, seller enablement, and measurable outcomes. Partners with sales, customer success, marketing, partners, operations, and global teams to accelerate revenue, pipeline, usage, adoption, and customer success. Identifies market insights, risks, and blockers; influences program design; drives change management; monitors performance; and orchestrates cross-functional execution in a complex matrixed organization.

Leads integrated planning and scheduling across a portfolio of large-scale data center construction projects. Oversees schedules, critical paths, forecasting, risks, contingency planning, reporting, and schedule governance. Leads and mentors planning professionals, facilitates schedule reviews, advises senior stakeholders, and drives consistent planning practices and delivery predictability across the sub-region.

Leads Microsoft's global supplier quality, development, technical capability, and innovation strategy for datacenter infrastructure. Drives supplier performance, qualification, risk mitigation, corrective actions, capability development, technology evaluation, industrialization, and scaled deployment. Partners with Procurement, Engineering, CTO, Planning, Operations, and executive supplier stakeholders to strengthen resilience, enable future capacity, and introduce innovative technical solutions.

Develop and operate software for Azure’s hyperscale networking infrastructure and SONiC switch and router platforms. Responsibilities include designing, coding, optimizing, debugging, and maintaining network software; supporting packet forwarding, telemetry, observability, reliability, and performance; creating design and release plans; responding to incidents; and mentoring engineers. The role requires expertise in software engineering, IP networking, distributed systems, Linux, SDN technologies, and container-based environments.

Leads business program planning, execution, evaluation, and continuous improvement. Responsibilities include researching business trends, defining program strategy and requirements, managing project plans, timelines, risks, resources, metrics, communications, stakeholder alignment, and change adoption. The role uses data analytics, dashboards, cost-benefit analysis, and performance metrics to optimize complex programs and drive measurable business outcomes across engineering and other cross-functional teams.