Top Tech Jobs & Startup Jobs in Seattle, WA

Provide high-level administrative support to the Corporate VP of Microsoft Quantum, including strategic calendar and travel management, policy compliance, project work, executive-level problem solving, stakeholder engagement, and mentorship/leadership within the Business Support community.

Lead planning and execution for electrical engineering initiatives focusing on PCBs and superconducting ICs. Manage supplier engagements, process development, cross-functional coordination, budgets, schedules, risk mitigation, and manufacturing readiness. Improve design and validation workflows, mentor junior staff, and communicate with technical and executive stakeholders to deliver hardware on aggressive timelines.

Design, architect, and implement extremely high-scale, low-latency identity and security services. Lead reliability, deployment automation, incident triage, and infrastructure security improvements. Define KPIs and priorities, drive large technical deliverables, and mentor a diverse engineering team while incorporating customer feedback and AI/ML solutions.

Lead research on agentic AI including recursive self-improvement, multi-agent coordination, continual learning, autonomous skill acquisition, and human-AI collaboration. Build evaluation frameworks and synthetic data pipelines, refine scalable architectures, and drive research-to-deployment in collaboration with engineers and product teams.

Lead vision, strategy, and roadmap for AI-driven creative advertising products. Partner with Data Science, Engineering, UX, Marketing, Legal, and Finance to build generative-asset pipelines, creative automation, quality systems, and go-to-market plans that drive advertiser performance, scale creative production, and protect brand integrity.

Lead research on agentic AI, developing self-improving, multi-agent systems and continual learning methods. Design evaluation frameworks, synthetic data pipelines, and scalable architectures to move research into deployed products while collaborating with engineers and product teams.

Design, build, and scale cloud-native distributed systems and runtimes to deploy, run, fine-tune, and observe enterprise AI agents. Drive architecture, optimize model/infrastructure interactions, improve developer iteration tooling, enforce secure-by-design practices, and mentor engineering teams to deliver production-ready agent platforms.

Lead architecture and delivery of Teams-integrated, Azure-native product capabilities including web UX, Azure Functions, identity, data workflows, GitHub integration, and agent orchestration. Define AI-native development practices and tooling, partner with senior stakeholders on product strategy, establish secure, maintainable coding practices, and drive engineering excellence, observability, and compliance for enterprise-grade AI workflows.

Lead analog-layout execution for quantum ASICs: produce schematic-to-GDS layouts across process nodes (including FinFET), establish flows and methodologies, coordinate team members, contingent staff, and vendors, and support project planning, schedule tracking, and delivery of high-performance, low-power analog IP.

Lead Zero Trust for AI strategy and cross-portfolio messaging; partner with product and engineering to influence roadmap, evolve the Zero Trust Assessment Tool, create customer-facing content, and drive go-to-market adoption across Microsoft Security.