Top Tech Jobs & Startup Jobs in Seattle, WA

Owns a core Microsoft 365 email transport area from strategy and roadmap through delivery and measurable outcomes. Defines product requirements, manages engineering execution, validates secure and compliant mail-flow changes, analyzes telemetry and message data, and improves service metrics. Partners across engineering, Exchange Online, and Microsoft 365 teams while mentoring product managers and leading cross-organizational initiatives.

Perform offensive security research and engineering for Windows: discover vulnerabilities, develop PoC mitigations and tools (fuzzers/agents), conduct code and design reviews, partner with product teams, and engage external researchers to improve OS security.

Develops strategic partnerships between Microsoft and AI-focused portfolio startups. The role evaluates startups’ business models, technical roadmaps, and market positioning; connects companies with Microsoft engineering, product, sales, and strategic resources; supports channel sales, product development, co-marketing, and ecosystem integrations; and helps accelerate portfolio company growth through experimentation, technical guidance, and enterprise AI adoption.

Leads architecture and hands-on development of distributed systems that identify, evaluate, and mitigate AI security threats. Responsibilities include adversarial testing, model evaluation, telemetry, monitoring, secure deployment workflows, threat modeling, automation, and security mitigations. Partners with security researchers, applied scientists, platform teams, product groups, and leadership to drive technical strategy, risk reduction, reliable engineering delivery, and scalable protections across Microsoft's Copilot AI ecosystem.

Leads the enterprise supplier performance scorecard program, defining strategy, requirements, governance, roadmaps, metrics, and execution plans. Partners with engineering, procurement, operations, data, vendors, and senior stakeholders to improve supplier performance, compliance, risk management, automation, and preferred-supplier adoption. Evaluates program health, costs, value, and risks through dashboards and analysis, while driving change management, communication, training, stakeholder adoption, and continuous improvement across Source-to-Pay processes and technology.

Define product strategy, roadmap priorities, and investment decisions for Microsoft Purview capabilities. Lead cross-functional initiatives, align engineering and partner teams, represent customer needs, analyze market and competitive insights, establish success metrics, and drive data-informed product outcomes. The role requires strong collaboration, communication, execution rigor, and the ability to meet Microsoft Cloud background-check requirements.

Own end-to-end physical design execution for large SoC blocks, from synthesis through place-and-route and RTL-to-GDS implementation. Lead clock construction and CTS, timing and physical signoff, EMIR, formal equivalence, low-power verification, methodology optimization, and tool-flow improvements. Collaborate with CAD, RTL, DFT, architecture, power, performance, technology, and external teams to deliver advanced-node production silicon while optimizing power, performance, and area.

Build quantum developer tools, including languages, compilers, simulators, debuggers, profilers, VS Code integrations, and AI-enabled workflows. Develop reliable software in Rust, Python, and TypeScript; collaborate with quantum science and hardware experts; contribute to open-source projects; and advance technologies such as Q#, OpenQASM, QIR, LLVM, GPU development, and quantum computing stacks.

Leads strategic communications, executive messaging, employee engagement, culture activation, leadership operating rhythms, and organizational effectiveness for Microsoft Business Operations. Translates complex business priorities into compelling narratives, aligns cross-functional stakeholders, drives change management, and guides AI transformation strategy, workforce evolution, governance, and adoption across a global organization.

Build AI platform capabilities for Windows Server across on-premises, hybrid, and air-gapped environments. Responsibilities include developing usage tracking, policy and efficiency systems, observability and telemetry pipelines, AI inference management layers, model lifecycle and catalog tooling, validation plans, and end-to-end workflow evaluation. The role also coordinates with security and compliance teams and requires strong software engineering, systems architecture, server management, and AI inference knowledge.