Top Tech Jobs & Startup Jobs in Seattle, WA

Operate and evolve AMP platform to ensure reliability, security, compliance, cost efficiency, and operational excellence. Monitor health and capacity, manage incidents and escalations, provision Azure/Fabric resources, enable onboarding, drive security and compliance remediation, optimize costs and capacity, coordinate with product groups and vendors, and improve automation, observability, and operational tooling.

Lead and negotiate strategic finance-data partnerships (exchanges, indexes, aggregators) to enable Microsoft products. Structure complex AI/ML and grounding/display rights deals, align Product/Engineering/Legal/Finance, drive portfolio optimization and regional coverage, and represent partnerships to executive leadership.

Lead Microsoft9s AI transformation thought leadership: define strategy, synthesize research, craft executive storytelling and GTM content, develop frameworks and scorecards, and drive cross-functional marketing programs to accelerate enterprise AI adoption.

Design, implement, and maintain core debugger engines and kernel-mode transports (WinDbg/DbgEng, KDNET, TTD). Own components end-to-end, bring up debugging across x64/ARM64 and Windows/Linux, diagnose deep systems defects, improve reliability/performance/security, and advance AI-assisted debugging while mentoring engineers and collaborating with product, kernel, silicon, and OEM teams.

Lead architecture and technical vision for a scalable, AI-enabled workforce planning platform. Design distributed data and analytics systems, integrate HR/Finance data, enable AI/ML workflows, enforce engineering standards, drive cross-team technical alignment, mentor engineers, and ensure security, compliance, reliability, and scalability.

Design, prototype, and ship AI-native, scalable production features and services for Microsofts sales ecosystem. Integrate data and systems into agentic workflows, improve reliability with telemetry, and deliver secure, compliant AI solutions through experimentation-driven engineering.

Lead architecture, design, and delivery of hyperscale distributed storage and database platform capabilities. Drive technical strategy across storage, data protection, capacity planning, and AI-native system design. Partner cross-functionally, use telemetry and experimentation to optimize performance and reliability, lead live-site excellence and operational automation, establish technical standards, and mentor engineering leaders.

Lead and grow an engineering team to define strategy and deliver secure identity and authentication platform capabilities. Drive technical direction for agent safety, post-quantum readiness, protocol modernization, and reliable AI/agent engineering while ensuring operational excellence and stakeholder alignment.

Lead product strategy and roadmap for Microsoft Defender Experts (MDR), manage and mentor a team of product managers, partner with engineering and cross‑functional teams to deliver AI‑driven detection and response capabilities, define KPIs, and drive go‑to‑market and operational excellence for a global security service.

Lead performance outcomes for the Windows device ecosystem by defining KPIs, turning telemetry and benchmarks into actionable guidance, influencing hardware and device design, driving issues to resolution with partners, running co-engineering workshops, and applying data and AI to speed triage and fixes. Represent performance externally and enable partners to resolve common issues.