Top Tech Jobs & Startup Jobs in Seattle, WA

Design, build, and operate scalable security data platforms and ingestion pipelines. Develop identity management features, troubleshoot distributed production systems, improve reliability and performance, analyze telemetry, and implement automated validation, staged deployments, CI/CD, and AI-assisted engineering practices. Collaborate with engineers, product managers, customers, and cross-functional teams to deliver secure, efficient, cloud-native services.

Conduct original security research with Microsoft Research mentors and fellow doctoral candidates. Investigate secure and trustworthy software and cloud services across systems security, confidential computing, formal verification, zero-knowledge proofs, data-driven security, and agentic security. Build or extend complex software, collaborate with researchers, present findings, and contribute to research and development during a 12-week internship.

Owns CRM and seller-tooling domains for Microsoft Advertising, translating field needs into product requirements, roadmap priorities, launch plans, adoption strategies, and measurable business outcomes. Partners cross-functionally with Product, Engineering, Sales, Enablement, data, and executive teams to prioritize investments, define success metrics, manage dependencies, and lead domain governance without direct authority.

Develop and direct high-quality visual concepts across product, web, brand, print, and emerging formats. Lead creative projects from ideation through production, evolve brand identity and design systems, and ensure cohesion between product and brand experiences. Present design rationale to stakeholders, collaborate across Marketing, Product, Communications, and engineering partners, manage project delivery with producers, and use AI-assisted tools to enhance creative output.

Lead end-to-end electrical engineering initiatives (PCB and superconducting ICs), manage supplier and manufacturing engagements, develop PCB/process/DFM/DFT workflows, coordinate cross-functional hardware teams, own program schedules, budgets, resource planning, and mentor junior engineers to deliver high-quality hardware on aggressive timelines.

Designs and develops secure, performant Copilot products and platform services across Windows, Mac, and mobile. Builds distributed AI and agent-driven systems capable of reasoning, planning, and executing tasks. Collaborates with infrastructure, platform, application engineering, and research teams to ship high-quality software. Champions AI-assisted development, coding-agent adoption, prompt design, tooling best practices, and human-in-the-loop systems.

Design, develop, test, and operate large-scale distributed software services within Microsoft Security. Responsibilities include system and interface design, code and design reviews, secure and reliable modular components, integration testing, monitoring, troubleshooting, automation, and Live Site optimization. Engineers collaborate with product and engineering teams to deliver data-driven customer experiences and may work on cloud, secure software, and AI/ML-powered systems.

Leads the commercial development of Microsoft for Startups portfolios across manufacturing, energy, cybersecurity, and AI. Develops industry investment theses, identifies high-potential startups, drives enterprise customer access, manages co-sell and marketplace execution, coaches founders on go-to-market strategy, transitions startups into managed sales coverage, and builds relationships across venture capital, partner, customer, and industry ecosystems.

Owns search product initiatives from concept through launch and iteration for Microsoft Copilot and related applications. Responsibilities include defining requirements and roadmaps, coordinating engineering, data science, research, and design teams, managing dependencies, setting quality and release criteria, measuring search relevance and customer impact, running experiments, incorporating feedback, and leading through influence.

Own the roadmap for cybersecurity exposure-reduction scenarios in Microsoft Intune. Define product requirements, partner with engineering, design, and security teams, and build AI-powered experiences that recommend or automate endpoint remediation. Engage enterprise customers, incorporate feedback, and measure adoption and exposure-reduction outcomes while balancing security improvements with operational impact.