Top Tech Jobs & Startup Jobs in Seattle, WA

Lead and modernize a global privacy, data protection, and business resilience program for Microsoft Commercial. Build and manage a high-performing team, create a federated operating model, implement AI-enabled automation and scalable controls, aggregate risk signals into KPIs and executive reporting, and represent data protection posture to customers, regulators, and executives.

Conduct research on document intelligence and multimodal content understanding, developing models and learning techniques for complex documents containing language, visual structure, tables, and images. Collaborate with researchers and engineers, design experiments, evaluate results at scale, build practical AI prototypes, and present findings through papers, reports, posters, or presentations.

Investigates cybersecurity attacks through telemetry analysis, threat hunting, and reverse engineering; develops detection and prevention strategies across the attack lifecycle. Designs and maintains client-side and cloud machine learning, automation, LLM, and agentic systems for Microsoft security products. Supports incident triage, postmortems, root-cause analysis, and cross-team partnerships. Requires advanced education or equivalent experience in computer science, security, mathematics, or related fields, plus experience in cybersecurity, coding, machine learning, and reverse engineering.

Leads finance and FP&A strategy for Microsoft’s engineering organization, advising senior leaders on resource allocation, investment optimization, operating leverage, business health, risks, and tradeoffs. Develops financial models, scenario analyses, analytical frameworks, and process improvements to align engineering resources and spending with strategic priorities. Collaborates across Engineering, Finance, Procurement, Human Resources, and other corporate teams while managing direct reports and influencing decisions in a complex, matrixed environment.

Lead product strategy, roadmap, and delivery for Microsoft’s AI-native agentic security solutions. Partner with engineering, security research, design, data science, and enterprise customers to create products supporting threat detection, investigation, response, remediation, and security posture improvement. Drive cross-organizational alignment, product adoption, measurable customer outcomes, market disruption, and executive communication for large-scale cloud security products.

Leads integrated performance modeling for a topological quantum computing platform. Connects qubit behavior, control and readout, error correction, and workloads to system-level predictions. Defines modeling frameworks, interfaces, assumptions, validation criteria, and uncertainty practices; integrates analytical and simulation models; evaluates architectural trade-offs; influences multidisciplinary technical roadmaps; and uses AI tools to accelerate engineering while preserving validation and traceability.

Perform red team testing of generative AI systems to discover and exploit security and safety vulnerabilities; run sprint-based operations with product stakeholders; develop scalable AI red teaming methodologies; report findings and coach developers; collaborate with offensive security engineers and adversarial ML experts to improve AI defenses.

Work with AI security and application startups to accelerate growth by connecting them to Microsoft platforms (Microsoft Security, Azure AI, Copilot), building cross‑Microsoft partnerships, designing go‑to‑market and co‑marketing strategies, and advising founders on security, threat intelligence, data governance, and responsible AI practices.

Build and maintain cloud-native, large-scale services for deploying, running, fine-tuning, and observing AI agents. Contribute to distributed systems, backend services, tooling, debugging, design discussions, and delivery of production-ready features with strong testing and reliability practices.

Engages strategic enterprise customers across the Americas to identify adoption blockers, gather technical feedback, influence Windows 365 and Azure Virtual Desktop product priorities, and drive engineering improvements. Builds customer and partner relationships, enables deployment ecosystems, supports complex technical engagements, and collaborates across product, engineering, marketing, sales, and support teams. The role requires broad expertise in Microsoft cloud, endpoint management, desktop virtualization, and Azure technologies, with approximately 25% regional travel.