Top Tech Jobs & Startup Jobs in Seattle, WA

Owns strategy, roadmap, requirements, launch, adoption, and continuous improvement for Microsoft Partner Center and Marketplace commercial insights and channel services. Leads AI-powered partner experiences, translates complex commerce and financial needs into scalable platform capabilities, and partners with engineering, design, data science, finance, marketing, sales, and support. Engages strategic partners, defines success metrics, communicates investment decisions to senior leaders, and mentors product managers.

Lead performance architecture for AI-focused SoCs and accelerators. Analyze workload bottlenecks, evaluate power and performance trade-offs, develop and integrate SoC and IP models, and collaborate with architects, design teams, and verification engineers to achieve performance goals.

Leads finance strategy for Microsoft’s Security business within SME&C, providing pricing, resource allocation, forecasting, budgeting, planning, business-case, and growth insights. Partners with finance, sales, channel, corporate, and business leaders to guide investments, revenue execution, risk management, compliance, and long-range planning. Develops analytical frameworks, dashboards, and AI-enabled tools while advising senior leaders and driving standardized reporting and corrective action.

Lead analog mixed-signal (AMS) verification for SoCs and IP: build AMS models, create system-level simulation environments, run block and top-level simulations, develop behavioral models, coordinate engineers and contractors, establish verification methodology, document results, and drive design resolution through tape-out to production.

Lead development and execution of pre-silicon simulation and post-silicon validation plans for quantum SoC and IP. Own verification environments, testbenches, AMS models, bug-tracking, and verification databases; coordinate vendors and contingent staff. Align verification methodology with cross-functional teams and drive release-quality verification to production.

Design, architect, and implement key Windows Ads SDK components focused on performance, scalability, reliability, and maintainability. Build CI/CD, test automation, telemetry, and validation. Collaborate across teams on design reviews, data-informed rollouts, integration testing, and production readiness while ensuring security, privacy, accessibility, and compliance.

Leads creative vision and strategy for Microsoft’s commercial brand initiatives, developing scalable visual, motion, brand, and content systems. Directs multidisciplinary designers, motion artists, creative technologists, and producers; manages talent, resources, team health, and operating models. Partners with executives, marketing, product, communications, and engineering teams to align creative investments with business outcomes. Champions high-quality craft, brand consistency, AI-enabled workflows, innovation, and emotionally resonant storytelling across channels and audiences.

Leads strategic planning and cross-organization initiatives within Microsoft Security Engineering. Translates enterprise strategy into engineering priorities, investment plans, roadmaps, execution cadences, metrics, and executive communications. Aligns product, engineering, research, and go-to-market teams, manages dependencies and risks, facilitates leadership decisions, and improves governance and operational discipline. Uses customer insights, competitive intelligence, KPIs, and OKRs to drive execution and customer impact across AI-focused security initiatives.

Serves as trusted advisor and force multiplier to the CVP of Data Strategy. Leads business operations, strategy execution, organizational health, budgeting, executive communications, stakeholder alignment, and cross-functional strategic programs. Manages the rhythm of business, supports customer and partner engagements, drives measurement of organizational impact, and helps prioritize decisions across a complex, fast-changing environment.

Build AI agents, applications, and workflows that automate Copilot evaluation, testing, validation, competitive analysis, and reporting. Identify failures and regressions, prototype agentic evaluation systems, translate evaluation signals into product and competitive insights, and scale reusable AI automation tools across product, engineering, research, and marketing teams.