Top Tech Jobs & Startup Jobs in Seattle, WA

Lead financial strategy and modeling for Andromeda's global GPU compute portfolio, managing lender relationships and capital allocation decisions.

Own full-cycle technical recruiting for high-priority engineering and AI infrastructure roles: talent mapping, creative sourcing, hiring-manager partnership, assessment, offers, and closing. Improve recruiting operations, maintain Ashby, use data and AI to iterate on process and pipelines.

Source and secure global GPU capacity across clouds, data centers, and vendors. Evaluate technical readiness, negotiate commercial terms, travel for site assessments, track market pricing, and build a compute sourcing thesis to direct large-scale spend.

Embed with customer teams running large-scale GPU training and inference to onboard, tune, debug, and improve reliability. Diagnose fabric, driver, scheduler, and application failures; profile performance; build automation, monitoring, and preflight checks; lead incident response; and convert field learnings into product improvements and reusable reference configurations.

Own technical engagements end-to-end for large customers: lead technical discovery and POCs, design GPU/HPC cluster and workload architectures, provision and validate production training runs, optimize performance and cost, and build SA assets (runbooks, benchmarks, reference architectures). Act as named technical owner to grow accounts and feed product/engineering with customer feedback.

Lead and build the revenue operations function: own HubSpot CRM, pipeline hygiene, forecasting dashboards, deal desk and RACI, comp and capacity planning, cross-functional processes between sales, supply, legal, and finance, and introduce AI-driven efficiencies to automate reporting and ops.

Design and operate large-scale GPU infrastructure for distributed AI training, ensuring reliability, performance, and efficient customer partnerships.

This job is for candidates with AI infrastructure experience to submit their resumes for future opportunities. No specific role is posted.

The Site Reliability Engineer will provision and manage Kubernetes clusters, build automation tools, debug customer issues, and improve infrastructure reliability.

As a Software Engineer in AI Infrastructure, you will design and develop core platform components, build APIs and services, enhance performance, and automate tooling while collaborating across teams and improving system reliability.