Top Tech Jobs & Startup Jobs in Seattle, WA

Lead data science strategy across complex customer engagements, turn ambiguous business problems into repeatable ML solutions, define modeling and evaluation standards, drive data readiness and MLOps practices, mentor teams, produce reusable IP, and represent Microsoft in executive and thought-leadership forums.

Lead product strategy and roadmap for Microsoft's agentic engineering platform. Prototype with AI developer tools, define developer onboarding, governance, and agent/plugin ecosystems, measure adoption and productivity impact, and ship scalable AI-assisted workflows across engineering orgs while partnering with engineering, design, and data teams.

Lead end-to-end delivery of high-impact data science and AI solutions for AI infrastructure. Clean and prepare hyperscale datasets, build and deploy predictive, prescriptive, and generative AI models (including LLMs), implement prompt engineering and fine-tuning, and collaborate with stakeholders and engineers to drive adoption, measurement, and responsible AI practices.

Lead development of end-to-end signal integrity simulation methodologies for quantum systems. Build and validate system-level models predicting fidelity, crosstalk, timing, noise, attenuation, and bandwidth. Drive architecture trade studies, define modeling standards and validation practices, partner with Cryo-CMOS, packaging, readout, and qubit teams, and document results to reduce risk and accelerate hardware development.

Lead architecture, integration, validation, optimization, and deployment of networking hardware for Microsoft's MAIA AI platform. Drive qualification of switches, NICs, PHYs, optics, SerDes, and AI fabric performance tuning, and build telemetry, debugging, and automation for large-scale AI training and inference systems. Influence technology roadmap and collaborate across silicon, firmware, hardware, software, validation, manufacturing, and Azure teams.

Lead cross-functional analytics for MSN & Copilot Discover to drive engagement and revenue. Build forecasting, scenario-planning, and ML solutions, evaluate UX/monetization tradeoffs, inform product and monetization strategy, and communicate insights to senior stakeholders to influence investments and business outcomes.

Lead product marketing for Microsoft AI Content: craft external narratives, define AI quality standards and guardrails, own audience and format strategies globally, partner with Sales to translate capabilities into revenue narratives, and serve as a cross-functional steward aligning Product, Policy, Monetization, and Leadership.

Lead and translate AI research into developer products: build datasets from public and internal code, design and run large-scale ML experiments, train state-of-the-art models, collaborate with product teams across Microsoft and GitHub, and evaluate and iterate AI systems for software engineering.

Lead system-level signal and power integrity for high-performance SoCs and platforms. Design, model, and simulate end-to-end power delivery (DC/AC/transient), validate I/O/link performance, and drive PI solutions across silicon, package, board, and platform with cross-functional stakeholders to meet data-center/HPC performance and scaling requirements.

Provide executive-level administrative support for an Azure Databases leader: manage complex calendars and meetings, plan events and travel, support rhythm-of-business, assist with budgets/headcount/expenses, maintain space planning, lead and mentor administrative staff, and serve as liaison across teams while handling confidential communications.