Top Tech Jobs & Startup Jobs in Seattle, WA

The Sourcing Manager will oversee contractor labor sourcing and management for multiple site services, ensuring compliance and performance across various trades. Responsibilities include building supplier networks, negotiating contracts, and developing workforce capacity in local communities.

Own procurement for data center mechanical category (CDUs, chillers, pumps, dry coolers, piping). Negotiate multi-year supply agreements, dual-source equipment, drive qualification of second sources, and coordinate specs with manufacturing and design to meet lead times and delivery schedules.

Build and lead detection engineering: create telemetry pipelines, detection-as-code with versioning and CI, write cloud and endpoint detections, automate triage/enrichment in Python, lead high-severity incident response, and partner with corp IT and infrastructure to obtain telemetry and remediate root causes.

Lead Fluidstack's editorial voice and content strategy for technical audiences. Turn complex infrastructure, AI, and energy work into credible long-form essays, launch messaging, and executive communications. Build and run an editorial pipeline, set writing standards, partner with founders and engineers, and ship timely, high-quality public-facing content.

Coordinate executive support (travel, meetings, ad-hoc requests), manage office operations (logistics, space planning, workplace technology), improve team experience (onboarding, perks, socials, onsites), lead culture initiatives across global hubs, and liaise with landlords, vendors, suppliers, and onsite candidates. Role requires full-time in-person presence.

Lead end-to-end R&D program plans for hardware and infrastructure: scope, sequencing, owners, and critical path from concept through prototype, qualification, and production handoff. Run NPI programs, coordinate design reviews, procurement, lab/test capacity, surface risks, drive cross-functional execution with manufacturing, supply chain, and deployment, and build leadership reporting while optimizing for velocity.

Build and operate large-scale GPU compute fleet tooling: metrics pipelines, alerting, Redfish/BMC telemetry, repair/RMA automation, GPU qualification, and orchestration for Kubernetes and bare-metal deployments. Own reliability, scalability, incident response, and automation to minimize manual toil.

Model and track fleet capacity (power, space, cooling, compute), forecast constraints, connect deployment schedules to sellable capacity, run scenario analyses to inform allocation and deal decisions, and build executive-ready reporting.

Own and scale the GPU compute fleet: build metrics, alerting, observability, and repair automation; design GPU qualification/burn-in pipelines; own Redfish/BMC tooling and firmware telemetry; run incidents, eliminate toil, and deliver end-to-end reliability and orchestration for Kubernetes and bare-metal compute at hyperscale.

Build AI-powered internal tools and shared AI infrastructure (agents and skills), integrate LLMs with internal systems, design and ship web applications, and enable cross-functional adoption through documentation and support.