Top Tech Jobs & Startup Jobs in Seattle, WA

Leads the AI Infrastructure platform roadmap, scaling distributed GPU systems and AI workloads from research to production. Owns product areas, requirements, launches, experiments, and performance metrics while coordinating engineering, research, UX, data science, marketing, and product teams. Drives customer-focused development, resolves ambiguity, and delivers reliable, efficient cloud infrastructure for AI Foundry and other Microsoft AI services.

Lead technical program management for Microsoft’s AI Infrastructure platform, including the roadmap for scaling AI workloads from research to production. Own a product area, define requirements, coordinate engineering, research, UX, data science, and marketing teams, and drive platform development, launches, experiments, and adoption. The role focuses on distributed computing, multi-node GPU infrastructure, fleet efficiency, reliability, and scalable AI services.

Lead end-to-end simultaneous global releases for a strategic AI partnership, coordinating engineering, product, compliance, localization, and partner teams to ensure release readiness, reliability, and regulatory compliance. Drive program rhythm, risk mitigation, metrics, continuous improvement, and executive reporting while ensuring Responsible AI governance and strong stakeholder influence across Microsoft and external partners.

Lead Microsoft Foundry’s enterprise security and governance strategy and roadmap for AI models, agents, and platform capabilities. Partner with engineering, security, compliance, identity, governance, and field teams to deliver secure AI capabilities for enterprise, regulated, and government cloud environments. Translate customer needs and telemetry into scalable product improvements, engage CISOs and industry analysts, and drive cross-functional execution, adoption, and product growth.

Directs business operations for Global Commercial Strategy & Operations, partnering with the VP and leadership team to manage business rhythms, planning, budgets, headcount, prioritization, communications, culture, and organizational alignment. Leads complex cross-functional initiatives, staff meetings, employee engagement, inclusion programs, and strategic workstreams while advocating for team needs across marketing, sales, engineering, finance, and other functions.

Leads complex electrical engineering programs involving PCB and superconducting integrated circuit development, supplier and manufacturing engagements, validation, process improvement, budgets, schedules, resource planning, and cross-functional execution. Partners with engineering, supply chain, fabrication, and leadership teams to deliver hardware milestones, improve quality and manufacturing readiness, manage risks, and mentor team members.

Develop and validate low-level firmware libraries for Microsoft AI accelerators, HBM, compute, and SoC subsystems. Responsibilities include firmware framework and API development, silicon bring-up, debugging, root-cause analysis, verification planning, and pre-silicon validation. The engineer collaborates with architects, hardware, validation, security, platform firmware, and software teams throughout the development lifecycle.

Conduct end-to-end applied research and engineering to improve web data quality, scalability, and readiness for Search, grounding, and LLM training. Develop machine learning, statistical, data mining, and LLM-based methods; analyze web-scale data; design experiments; apply prompt engineering for data evaluation and labeling; and translate research findings into product decisions and technical roadmaps. Collaborate across teams to establish scalable, responsible, privacy-conscious AI practices.

Build and optimize frontend advertising experiences and rendering libraries across platforms. Collaborate with design, product, and partner teams on UX, analyze ad-stack performance using data and monitoring systems, and drive improvements across complex, multilingual, multi-region, cross-platform web applications.

Lead strategy and execution for Microsoft’s Enterprise Search and Grounding Platform supporting Copilot and agents. Define the developer experience vision, roadmap, retrieval API capabilities, integration patterns, onboarding, documentation, self-service tooling, observability, and diagnostics. Translate agent needs into platform requirements, coordinate execution across engineering teams, align stakeholders across Microsoft 365, Graph, and Work IQ, and mentor product managers while driving data-informed platform improvements.