Top Tech Jobs & Startup Jobs in Seattle, WA

The Product Manager for Finance will lead strategic finance systems initiatives, including system design, automation, and collaboration with finance stakeholders to enhance operational efficiency and compliance.

The Executive Researcher at CoreWeave will lead executive search research for VP and C-level hires, leveraging modern AI tools and methodologies.

Partner with Data Center Operations to map and improve workflows, build and maintain internal tools, automations, dashboards, and AI-enabled solutions, produce SOPs and training, drive adoption, measure impact with operational metrics, and collaborate across teams to deploy and iterate solutions.

As a Technical Sourcing Manager, you will lead strategic sourcing for hardware systems, negotiate with suppliers, and optimize supply chain strategies across Mechanical, Power, and Thermal systems.

Join a small Applied Training team building Kubernetes-native research cluster and sandbox infrastructure for large-scale ML training. Design and implement cluster experiences (CLI, job schemas, operators), own Python SDKs for RL rollouts, work directly with customers and infra teams, document OSS training frameworks, and ship production-grade ML infrastructure solving distribution, scheduling, and isolation at scale.

Sell and shape adoption of CoreWeaves AI Runtime Services by driving technical-commercial strategy, proving value with early customers, creating playbooks, and feeding product roadmap. Advise on serving frameworks, batching, execution isolation, throughput modeling, GPU utilization, and SLA structures while partnering with product, infra, and sales teams.

Lead technical strategy and architecture for CoreWeave's orchestration platform (SUNK). Own critical orchestration components, drive cross-org initiatives in scheduling, quota enforcement, and hyperscale scaling. Mentor senior engineers, establish reliability and observability best practices, and ensure workloads run reliably and efficiently for large GPU ML training and inference clusters.

Design and implement data platforms, manage data infrastructure, develop streaming architectures, improve performance, and ensure data compliance.

Build and maintain fault-tolerant bare-metal Kubernetes control planes and automated tooling using Python, Golang, and Bash. Perform day-2 maintenance, debugging, upgrades, reliability improvements with Grafana, design automated tests, and participate in on-call rotation.

The Quality Manager ensures quality execution in supplier management and infrastructure performance, embedding quality in asset lifecycle phases.