Top Tech Jobs & Startup Jobs in Seattle, WA

Leads complex technical programs across Microsoft Ads Data, Platform, and Tools. Drives performance, reliability, scalability, capacity, cost efficiency, and operational readiness for high-scale advertising systems. Analyzes architecture, code paths, production data, logs, experiments, and telemetry to develop evidence-based technical direction. Aligns engineering, product, data science, and business stakeholders, manages dependencies and risks, drives launches, measures outcomes, and shapes broader technical strategy.

Build and operate Azure’s fault self-healing and failure-prediction platform at hyperscale. Responsibilities include telemetry pipelines, prediction services, AI agents, automated repair workflows, safe staged rollouts, developer SDKs and APIs, dashboards, and reliability metrics. The role requires production AI/ML, distributed systems, cloud-scale automation, and storage or hardware resiliency expertise, including failure analysis, live-site operations, and NVMe/PCIe or firmware experience.

Own the strategy and roadmap for Microsoft 365’s global network connectivity platform. Lead regionalized, policy-enforced connectivity and large-scale infrastructure migrations, balancing security, reliability, performance, scalability, latency, and cost. Drive cross-team execution, dependency resolution, metrics, investment priorities, executive communication, and incident recovery. Participate in platform on-call rotations, convert incident learnings into improvements, and mentor product managers in AI-forward ways of working.

Develop and execute visual concepts for integrated, social-first, creator-led marketing campaigns. Art direct creators, productions, photography, video, motion, and editorial shoots while creating scalable visual systems, storyboards, layouts, and campaign assets. Collaborate with writers, strategists, marketers, agencies, and production teams to deliver culturally relevant work across digital and emerging formats. Use AI-enabled creative tools for ideation and production, and independently create selected content from concept through final execution.

Define product strategy and roadmaps for Azure sovereign cloud capabilities. Partner with engineering, customers, sales, and stakeholders to translate needs into scalable cloud services, tools, processes, and architecture improvements. Lead requirements workshops, prioritization, solution design, communications, and cross-functional execution while ensuring security, compliance, operational resilience, and customer value. Influence distributed teams and senior decision-makers across public-sector and regulated commercial markets.

Design and build large-scale, highly available Responsible AI cloud services. Lead architecture, development, release, and production readiness. Collaborate with engineers, scientists, and product managers to integrate Responsible AI features across Azure AI and related services, drive DevOps practices, and improve performance, observability, and reliability.

Leads quantum systems engineering for scalable quantum computing, including experiments, simulations, cryogenic hardware, electronics, instrumentation, device integration, and system validation. Directs multidisciplinary collaboration, establishes engineering and safety practices, manages technical risks, drives root-cause investigations, and develops reusable tools, methods, and documentation to improve reliability, scalability, quality, and performance.

Leads Microsoft’s sourcing strategy for datacenter switching technologies. Partners with architecture, engineering, suppliers, and legal teams to optimize network designs, cost, quality, continuity of supply, sustainability, and business terms. Owns RFQs, negotiations, supplier selection, multi-sourcing, new product introduction, supplier performance, compliance, and cost-reduction initiatives. Requires expertise in networking hardware, datacenter switching, supplier capabilities, qualification, validation, and continuous improvement.

Lead strategic partnerships and complex commercial agreements for Azure Networking. Develop build, buy, partner, and invest strategies; evaluate technologies and market opportunities; negotiate deals; and coordinate product, engineering, finance, legal, security, sales, and executive stakeholders. Establish governance to ensure partnerships deliver integrated products, customer value, reliability, adoption, and measurable business outcomes across cloud networking, AI infrastructure, connectivity, observability, and application delivery.

Leads technical vision, architecture, and cross-team engineering initiatives for Azure Data Factory services. Designs and develops scalable, secure distributed systems; resolves complex technical issues; improves performance, reliability, and operational excellence; influences engineering roadmaps; and mentors engineers while driving adoption of shared platforms and strong engineering practices.