Top Tech Jobs & Startup Jobs in Seattle, WA

Owns Microsoft’s next-generation regional Ethernet networking program for AI infrastructure. Responsibilities include defining requirements, shaping network designs, leading interoperability and workload testing, coordinating engineering and operations, planning staged production deployments, establishing operational-readiness criteria, and managing cross-team dependencies, risks, metrics, and partner alignment.

Lead global go-to-market strategy for AI Workforce across corporate, SMB, and partner segments. Develop segmentation, positioning, customer journeys, partner-led motions, sales enablement, and growth plans. Align engineering, marketing, product, finance, sales, customer success, and partners around strategic priorities. Establish KPIs, evaluate business performance, translate customer and field insights into recommendations, and drive initiatives from planning through measurable execution.

Leads technical pre-sales engagements with enterprise customers, using Azure, application modernization, cloud architecture, and AI expertise to design solutions, build prototypes, guide adoption, and connect technical recommendations to business value. Owns complex opportunity direction, aligns stakeholders, advises executives and technical teams, develops roadmaps, supports sales growth, and coaches colleagues while promoting secure and responsible AI adoption.

Leads global channel sales excellence, including business rhythms, executive reviews, reporting, planning, partner performance insights, sales process adoption, and operational workstreams. The role designs scalable review practices, translates data into recommendations, supports go-to-market and revenue execution, manages quota and territory planning, and influences cross-functional stakeholders across a global organization.

Leads global channel sales excellence through business rhythms, executive reviews, forecasting, pipeline and performance analysis, standardized dashboards, and actionable insights. Partners with Sales, Finance, Operations, and Enablement leaders to improve predictability, establish scalable sales processes, drive adoption of operating models and AI initiatives, remove execution barriers, and influence cross-functional stakeholders in a matrixed environment.

Lead design and implementation of Azure full‑stack, scalable skilling platform features. Drive CI/CD, reliability, automation, and AI/LLM-enabled capabilities. Mentor engineers, enforce engineering best practices, coordinate cross-team dependencies, and improve test automation and observability for enterprise-scale services.

Leads strategic account management for Microsoft’s government customers, developing account plans, executive relationships, complex sales opportunities, digital transformation strategies, and partner ecosystems. Drives cloud, AI, security, data, and collaboration solution adoption, coordinates internal stakeholders, presents business cases, closes large agreements, and aligns Microsoft offerings with Army mission and modernization priorities. Requires an active U.S. Government Top Secret clearance and U.S. citizenship verification.

Design, build, and optimize production-grade applications on Azure while contributing to an observability-focused Azure service. Responsibilities include developing cloud-native systems, creating reusable engineering assets, supporting production environments through on-call participation, investigating incidents, improving reliability and performance, and influencing Azure platform engineering through customer insights. The role also involves direct engagement with strategic customers and strengthening technical capabilities across the organization.

Establishes and runs a continuous improvement operating rhythm for AI transformation engagements. The role uses adoption and operational signals to redesign workflows, refine prompts and agents, embed standard work, facilitate improvement events, retire low-value solutions, and direct investment toward high-ROI capabilities. It also transfers continuous improvement practices, tooling, and cadences to customer teams so gains remain durable after the engagement ends.

Leads Microsoft’s worldwide Non-AI Azure capacity business, connecting customer demand with supply and guiding service availability, regional allocation, growth shaping, and future reservations. Manages capacity escalations, planning, governance, financial tradeoffs, and cross-functional coordination with Engineering, Finance, Field, and Sales. Builds scalable operating models, automation, reporting, and enablement resources while managing and developing a team of capacity program managers.