Top Tech Jobs & Startup Jobs in Seattle, WA

Leads AI workforce solution sales teams serving strategic retail and consumer goods customers. Responsibilities include people leadership, executive engagement, complex deal orchestration, pipeline management, forecasting, territory strategy, partner collaboration, whitespace analysis, and driving adoption of Microsoft AI, Copilot, Security, Cloud, and Power Platform solutions. The role coaches teams, advances AI-driven transformation initiatives, strengthens customer relationships, and delivers revenue growth while maintaining security, compliance, and consumption objectives.

Lead technical pre-sales engagements to design secure, scalable Azure architectures for migration, modernization, and AI workloads. Build trusted advisor relationships, drive POCs, apply CAF/CMF best practices, design hybrid networking and containerization solutions (AKS, Arc, AVS), and collaborate with engineering and partner teams to overcome technical objections and optimize enterprise migrations.

Leads Site Reliability Engineering teams responsible for reliability, availability, incident response, disaster recovery, automation, telemetry, security, and compliance for Microsoft Substrate services in regulated environments. Establishes SLOs and SLIs, drives operational excellence, participates in on-call rotations, leads post-incident improvements, develops senior engineers, and influences cross-organizational engineering strategy.

Leads the technical vision, architecture, and execution of AI performance, framework, benchmarking, and developer-productivity initiatives. Drives cross-team architecture, resolves complex systems trade-offs, mentors technical leaders, and contributes hands-on through prototyping, implementation, reviews, debugging, observability, and automation. Delivers measurable improvements in model onboarding speed, runtime performance, reliability, hardware utilization, and Azure capacity efficiency across models, frameworks, compilers, runtimes, systems, services, and hardware.

Lead as a customer‑embedded principal engineer to design, build, and ship production-grade solutions. Translate business needs into technical approaches, influence senior stakeholders, accelerate delivery in ambiguous environments, and transition work to FDE crews while driving long-term account impact.

Supports established customers in adopting Azure and AI technologies, improving solution health, and achieving measurable business outcomes. Builds stakeholder relationships, assists with customer success planning and reviews, coordinates delivery resources, tracks risks and dependencies, escalates issues, and connects customer priorities with Microsoft solutions. The role includes structured onboarding, mentorship, and development of technical, communication, and customer success skills.

Designs, develops, and optimizes high-performance networking infrastructure for large-scale distributed AI training and inference in Azure. Responsibilities include building low-latency communication frameworks, benchmarking scalability, debugging complex networking issues, improving code performance and reliability, creating technical designs, participating in on-call operations, and guiding engineers. The role emphasizes observability, availability, scalability, and performance across diverse network architectures and accelerator technologies.

Lead end-to-end delivery of strategic data science and AI solutions for AI infrastructure. Work with telemetry and experimentation at fleet scale to build, deploy, and measure predictive and prescriptive models. Partner with stakeholders, present insights, enable adoption, and promote responsible AI. Collaborate closely with data engineers and infrastructure teams to productionize scalable ML solutions.

Owns the AMERS datacenter portfolio strategy and program-management rhythm across design, procurement, construction, commissioning, networking, capacity, and operations. The role maintains trusted milestone, risk, dependency, and capacity reporting; coordinates cross-functional initiatives; improves templates, workflows, automation, and telemetry; and drives executive-ready decisions, schedule adherence, cost control, quality, and operational reliability across large-scale infrastructure programs.

Leads complex commercial sales and negotiation strategies for Microsoft licensing, cloud, and AI-enabled solutions. Advises sellers, executives, customers, and partners on deal structures, pricing, contracting, risk, compliance, and revenue growth. Orchestrates cross-functional teams, develops customer-centric offers, manages high-value negotiations, drives pipeline conversion, and ensures adherence to commercial policies, regulatory requirements, and ethical selling standards.