Top Tech Jobs & Startup Jobs in Seattle, WA

Own product strategy and roadmaps for Python and Java developer tools, language-specific GitHub Copilot workflows, and AI-first development experiences. Conduct customer and market research, define end-to-end product experiences, collaborate with engineering, design, data science, and advocacy teams, and validate decisions through prototypes, experiments, usage metrics, and customer feedback. Engage developer communities, support go-to-market efforts, and drive products from concept through launch and iteration.

Designs and owns scalable, fault-tolerant data processing architectures and pipelines handling petabyte-scale Bing and MSN data. Builds datasets, dashboards, metrics, anomaly detection, data quality checks, and real-time insights using Spark, Flink, Azure, Kafka, EventHub, HDFS, and Azure Blob Storage. Optimizes performance, storage, reliability, compliance, and governance while collaborating with data scientists and product managers. Applies AI throughout coding, testing, data processing, and validation.

Leads product strategy and roadmap for Azure PaaS and serverless capabilities. Translates customer, market, telemetry, and business insights into requirements and priorities, partnering with engineering, design, sales, marketing, and support from discovery through launch and adoption. Focuses on cloud-native, AI-enabled applications, developer experiences, security, reliability, scalability, and measurable business outcomes.

Leads Microsoft’s Demo Experiences team, setting portfolio strategy and delivering credible, outcome-led demos for executives, customers, events, and field teams. Oversees hiring, coaching, technical and creative standards, AI-enabled tooling, cross-functional engagement, flagship event demos, budgets, vendors, rehearsals, and feedback loops. Partners with Engineering, Design, Product Marketing, field, and event organizations to translate product capabilities and customer insights into compelling narratives and reusable demo assets.

Lead end-to-end power architecture for high-power AI accelerator SoCs across silicon, package, board, and system levels. Define power-management, power-delivery, thermal, and workload-aware architectures; establish power budgets and system interfaces; evaluate performance, reliability, cost, and implementation tradeoffs; and provide technical leadership through design, silicon bring-up, characterization, and deployment.

Lead applied science for Microsoft 365 Copilot by developing reliable long-horizon agentic capabilities, frontier-model evaluation methods, offline benchmarks, online experimentation, ML pipelines, and performance metrics. Own experiments and ML projects from inception through production, build workflow tools, shape technical roadmaps, communicate findings to leadership, mentor scientists and engineers, and help grow the applied science recruiting and research culture.

Manage operating expense P&L outcomes, develop resource blueprints, guide hiring and allocation decisions, analyze headcount, cost-per-head, and program spending, and partner with finance and business leaders on budgeting, forecasting, financial targets, and operational efficiency.

Leads cross-functional technical programs for Azure cloud hardware, from concept through launch and deployment. Coordinates hardware and software engineering, sourcing, supply chain, networking, and data center operations teams. Establishes program plans, milestones, technical requirements, risk mitigation, stakeholder alignment, and executive communications. Drives new product introduction, supplier collaboration, process improvement, and delivery of scalable server platform solutions on schedule and within budget.

Design, build, and operate large-scale, highly available Responsible AI cloud services. Lead projects, ensure production readiness and DevOps practices, integrate with Azure AI products, and collaborate with engineers, scientists, and stakeholders to deliver scalable, observable, and secure Responsible AI features and infrastructure.

Leads cross-functional technical programs that transform large datasets into actionable insights. Designs analytics, automation, AI, and low-code/no-code solutions; collaborates with engineering and business stakeholders; prioritizes projects; establishes data standards; and delivers stable, compliant, scalable platforms and visualizations using Microsoft technologies.