Top Tech Jobs & Startup Jobs in Seattle, WA

Leads end-to-end international data center expansion programs across EMEA, APAC, and emerging markets. Owns demand-to-supply alignment, market prioritization, land and lease execution visibility, integrated planning, risk management, pipeline processes, and executive portfolio reviews. Coordinates Legal, Finance, Engineering, Operations, and Due Diligence teams while managing program interdependencies, resource sequencing, and international market-entry milestones. The role also manages direct reports and develops scalable intake and tracking workflows.

Provide proactive administrative support to up to three VP-level Product and Engineering leaders. Manage complex calendars across time zones, coordinate travel, resolve scheduling conflicts, protect executive focus time, handle expenses, manage vendor and partner relationships, and support team events and company-wide initiatives. The role requires discretion, strong judgment, organization, attention to detail, and the ability to operate independently in a fast-paced technical environment.

Leads technical sourcing strategy for data center hardware and infrastructure portfolios. Owns supplier selection, RFI/RFQ/RFP processes, negotiations, contracts, cost modeling, supply resilience, supplier performance, and lifecycle management. Partners cross-functionally with engineering, finance, legal, operations, and planning teams to secure capacity, optimize total cost of ownership, mitigate supply risks, and support transitions from prototype through global production deployment.

Leads manufacturing program execution across NPI and sustaining operations, including EVT through MP readiness, build and test planning, transition to production, risk management, quality issue resolution, supply chain strategy, and executive communication. Coordinates engineering, manufacturing, supply chain, quality, contract manufacturers, and product management to drive milestones, readiness gates, corrective actions, and cross-functional decisions.

Develop and maintain scalable software for CoreWeave’s GPU infrastructure validation and performance testing platform. Build automated performance tests and hardware validation workflows, maintain Kubernetes controllers and operators, extend open-source tooling for system metrics and health visibility, troubleshoot infrastructure at scale, and participate in on-call support. The role requires Go or Python development and production-scale Kubernetes experience, with backend, hardware testing, HPC, and AI/ML infrastructure experience preferred.

Lead design of data center fit outs, ensuring compliance with project requirements and coordinating across teams. Manage projects from design through construction.

Lead electrical engineering design and delivery for hyperscale data center facilities. Develop scalable electrical infrastructure solutions, review consultant and contractor designs, validate electrical loads and system performance, conduct technical studies, ensure code compliance, and support testing, inspections, commissioning, troubleshooting, budgets, and schedules. Coordinate with consultants, vendors, IT, operations, mechanical, and project teams. Travel to various data center sites is required.

Leads CoreWeave’s Design Management team and oversees multidisciplinary design delivery across a global data center portfolio. Responsibilities include team development, resource allocation, design governance, consultant and provider management, budget and schedule coordination, risk and change management, executive reporting, and construction and commissioning support. The role ensures coordinated, constructible designs meet technical, quality, scope, schedule, and business requirements while resolving complex portfolio-level issues.

The posting identifies a Manager, Field Engineering role at CoreWeave, but does not provide specific responsibilities, qualifications, or team details. The position involves field engineering management in an AI cloud infrastructure environment. The role requires access to export-controlled information and may require U.S. person status or export authorization eligibility.

Support and maintain large-scale bare-metal GPU infrastructure across data centers. Diagnose customer issues and incidents, analyze logs across firmware, drivers, and hardware, coordinate data center interventions, troubleshoot networking, and participate in on-call operations. The role also develops automation, documentation, troubleshooting processes, and reliability improvements while collaborating with customers and engineering teams supporting HPC and AI workloads.