Top Tech Jobs & Startup Jobs in Seattle, WA

Lead Gaming Advertising Finance across forecasting, month-end close, planning, quota support, performance analytics, and resource allocation. Build scalable financial models and reporting frameworks, evaluate investments and returns, analyze variances, identify risks and opportunities, and translate business drivers into actionable insights. Partner with product, engineering, sales, and finance leaders across Microsoft gaming and advertising businesses, influence senior stakeholders, maintain financial controls, and mentor team members.

Leads strategic AI transformation initiatives for financial services customers, helping move AI pilots into scalable, enterprise-ready deployments. Develops sales accelerators, proof-of-concept assets, transformation roadmaps, business cases, and customer messaging. Coordinates with engineering, consulting, sales, marketing, partner, and leadership teams while providing strategic insights, project leadership, technical guidance, and measurable success metrics.

Own the definition, delivery, and optimization of AI tool governance features in Microsoft Agent 365. Responsibilities include managing MCP server and connector onboarding, tool discovery, Shadow AI observability, roadmap prioritization, customer research, product requirements, execution with engineering and design, success metrics, and compliance capabilities for regulated and government-cloud customers.

Own the strategy, development, and continuous improvement of Excel Copilot. Identify customer needs, evaluate AI and agentic capabilities, define product requirements and success metrics, run experiments, analyze telemetry and feedback, prioritize enhancements, and make product and technical tradeoffs. Partner with engineering, applied science, design, and stakeholders to deliver intelligent Excel experiences at scale.

Lead design and delivery of a cloud-native, distributed platform for agentic generative AI applications. Define product vision, architect for scale, collaborate across SDK/experience teams, engage customers, and drive operational excellence and reliability for large-scale AI services.

Develop and ship advanced AI capabilities for Microsoft 365 Copilot. Responsibilities include designing deep learning algorithms for text, images, and video; conducting applied research; building backend platform and orchestration systems; leading projects from experimentation through production; and delivering scalable, secure, low-latency AI products in collaboration with engineers and scientists.

Build and maintain reliable distributed engineering systems and infrastructure for Microsoft Fabric’s SQL Data Warehouse. Develop deployment automation, cluster provisioning, branching strategies, validation pipelines, and cloud services. Troubleshoot complex issues, improve reliability and performance, collaborate across teams, contribute to architecture and product roadmaps, mentor engineers, and participate in on-call support.

Build and operate production-quality AI framework, runtime, benchmarking, performance, automation, observability, and developer-tooling systems. Optimize large language model training and inference across GPUs and Microsoft hardware, diagnose cross-stack reliability and performance issues, and improve model onboarding, hardware utilization, Azure efficiency, and deployment speed. Senior engineers own major components and projects; Principal engineers define technical direction, architecture, and multi-release strategy while leading cross-team initiatives and mentoring technical leaders.

Leads system validation for Azure cloud hardware solutions, including validation architecture, test frameworks, automation, test plans, debugging, defect triage, and quality metrics. Collaborates with engineering teams, ODMs, technology providers, and customers to validate CPU/GPU platforms and resolve fleet-level issues. Drives standardized testing and data-quality improvements, develops custom validation and debug tools, and mentors validation engineers. The role requires extensive server hardware validation experience and expertise in hardware, firmware, operating system interactions, and system-level troubleshooting.

Owns AIX’s end-to-end learning strategy, including manager enablement, DRI and Atlas training, AI fluency, compliance training, and Aspire programming for early-career hires. Builds role-based curricula, learning content, champion and train-the-trainer networks, and measurement systems focused on behavior change, adoption, readiness, productivity, and data quality. Partners with HR, product teams, leaders, and subject matter experts across a distributed engineering organization.