Top Tech Jobs & Startup Jobs in Seattle, WA

Design and operate large-scale, AI-native cloud infrastructure (especially Kubernetes/AKS). Improve service quality, automate incident prevention/remediation, accelerate engineering productivity, and integrate AI tools into development workflows.

Develop, design, and implement code for Azure hyperscale WAN features; gather requirements, estimate and decompose work, participate in on-call DRI duties, monitor reliability and performance, and troubleshoot large-scale distributed systems.

Serve as a customer-embedded technical leader aligned to a strategic account, driving business outcomes by building and shipping production-grade solutions, translating business needs into technical approaches, influencing senior stakeholders, preparing transitions to FDE crews, and operating with speed and entrepreneurial ownership in ambiguous, customer-facing environments.

Manages medium-enterprise customer accounts, builds C-level and technical relationships, develops account and co-sell strategies, and drives pipeline, renewals, upsells, consumption, and quota attainment. Coordinates Microsoft teams and partners, forecasts revenue, qualifies opportunities, presents tailored solutions, manages customer satisfaction and escalations, and serves as the customer’s internal advocate. Maintains expertise in Microsoft solutions, industry trends, licensing programs, and digital transformation.

Lead complex cloud, identity, supply-chain, and nation-state security investigations. Perform root-cause analysis, threat hunting, blast-radius assessment, attribution, and incident response across Microsoft telemetry. Operationalize intelligence into queries, detections, playbooks, and platform fixes; investigate adversary tradecraft; use AI-assisted tooling; produce executive-ready reports; and mentor peers in advanced investigations, forensics, and reverse engineering.

Lead enterprise GitHub and Azure architecture engagements, including DevSecOps transformation, GitHub platform governance, security automation, repository migrations, proofs of concept, and production delivery. Design scalable AI, agent, application, integration, and data solutions; oversee workload resiliency, security, capacity, and optimization; support customer adoption through technical workshops; provide escalation support; communicate platform feedback to engineering teams; and mentor customers, partners, and internal teams.

Lead the Americas go-to-market strategy for Microsoft’s Agentic CRM portfolio, including Dynamics 365 Sales, Copilot, and agent-powered scenarios. Develop scalable sales motions, competitive plays, field enablement, and growth strategies that expand pipeline, adoption, revenue, and market share. Coordinate cross-functional execution across Sales, Marketing, Worldwide, partners, Azure AI, Power Platform, and other Business Applications teams. Analyze KPIs, optimize programs, support executive updates, and serve as the CRM competitive strategy expert.

Design and build petabyte-scale multimodal data pipelines and infrastructure (text, audio, images, video). Own and maintain systems like Spark, Ray, and vector databases, partner with pre/post-training teams to improve data recipes through experimentation, and support large-scale dataset storage and processing for AI model training.

Customer-embedded principal data scientist who leads technical delivery for strategic accounts, builds production-grade solutions, translates business needs into technical approaches, influences senior stakeholders, and transitions work to FDE teams while operating in ambiguous, fast-paced environments.

Own product strategy and multi-year roadmaps for GPU back-end networking. Translate AI workload needs into requirements, lead products through qualification and deployment, coordinate engineering and business teams, influence suppliers, and improve performance, reliability, cost, observability, and launch readiness.