Top Tech Jobs & Startup Jobs in Seattle, WA

Manages medium-enterprise customer accounts and drives digital transformation, cloud, and AI adoption. Builds executive relationships, generates pipeline, manages territories, forecasts revenue, supports upsell and renewals, and coordinates Microsoft specialists and partners. Serves as the customer advocate while developing account strategies, maintaining satisfaction, and orchestrating resources to deliver solutions aligned with business needs.

Lead technical presales engagements for Microsoft security solutions, including Entra, Purview, Defender, and Sentinel. Deliver discovery sessions, demonstrations, whiteboarding, solution designs, and proof-of-concept efforts. Build competitive strategies, resolve technical blockers, guide customer decisions, collaborate with partners and deployment teams, and help existing customers optimize security product usage. Embed governance, security, and compliance into customer engagements while quantifying business value and supporting sales targets.

Lead the architecture and technical direction of large-scale Azure cloud infrastructure and machine learning platforms. Design distributed systems for model training, inference, data processing, and platform services; improve compute efficiency, reliability, security, scalability, and observability; guide Kubernetes and AI workloads in production; support MLOps practices; establish engineering standards; and mentor engineers across teams.

Leads complex, cross-functional technical programs for Microsoft’s commercial industry customers. Defines program strategy, roadmaps, metrics, business cases, governance, and technical architectures; drives execution, customer engagements, executive alignment, AI adoption, and continuous improvement. Partners across engineering, product, security, design, marketing, and field teams while promoting responsible AI, security, privacy, compliance, and quality. Mentors program managers and advises senior leadership on transformation initiatives.

Leads complex cross-functional business and operational programs across security and research organizations. Responsibilities include budget execution, supplier contracting, cloud spend analysis, financial tracking, data-driven insights, governance, process improvement, risk mitigation, and executive decision support. The role manages projects from planning through execution, improves operating procedures, and influences Finance, Legal, Procurement, and senior leadership stakeholders.

Leads a multi-manager federal customer success organization, developing leaders and overseeing executive relationships, strategic roadmaps, delivery risk, cloud and AI adoption, consumption growth, retention, and mission outcomes. Advises federal customers on Azure, Copilot, data, AI, security, and digital transformation while ensuring predictable execution and value realization. Requires active Top Secret clearance, U.S. citizenship verification, and extensive technology, customer success, people management, and federal government experience.

Leads and develops a team of security solution engineers supporting manufacturing and mobility customers. Oversees technical sales strategy, integrated cloud-to-edge security architecture design, demonstrations, pilots, proofs of concept, standards adoption, capacity planning, and partner alliances. The role requires expertise in cybersecurity, security architecture, cloud and hybrid environments, Zero Trust, threat protection, data protection, and technical pre-sales, along with people management experience.

Design, implement, and optimize distributed pre-training infrastructure for large-scale GPU clusters. Profile, benchmark, and debug compute, memory, networking, and storage bottlenecks; optimize communication libraries and GPU programming stacks; collaborate with hardware and model teams to scale training, ensure reliability, and influence architecture and roadmap.

Design and build Azure Kubernetes Service features and AI-native infrastructure, improve service reliability and developer velocity, automate incident prevention/remediation, integrate AI tools, and operate distributed, containerized systems at cloud scale.

Leads the design, implementation, optimization, and support of highly scalable Azure Storage services. Responsibilities include end-to-end performance testing, benchmarking, automation, profiling, bottleneck and root-cause analysis across compute, storage, and networking layers, KPI definition, scaling recommendations, and operational incident response. The role collaborates across teams, drives project and release plans, supports reliable and secure services, and mentors engineers while participating in on-call responsibilities.