Top Tech Jobs & Startup Jobs in Seattle, WA

Owns CoreWeave’s Physical AI communications strategy, including messaging, media relations, product and customer launches, executive thought leadership, technical content, and reporter relationships. The role translates AI infrastructure, robotics, autonomy, and scientific computing into credible narratives, advises senior leaders, coordinates cross-functional communications, develops customer and partner stories, and measures coverage and message performance.

Designs, automates, and supports server hardware infrastructure across its lifecycle, including provisioning, firmware management, monitoring, qualification, deployment, troubleshooting, and decommissioning. The role performs hardware and firmware root-cause analysis, manages vendor and OEM relationships, supports data center expansion, participates in on-call escalations, and improves reliability through automation, telemetry, documentation, and operational tooling.

Build and ship full-stack software for CoreWeave’s internal data infrastructure and operational applications. Develop TypeScript, React, and Next.js frontends; Python services on Kubernetes; SQL queries and data models; and AI-enabled interfaces such as text-to-SQL tools, retrieval systems, and agents. Own scoped features through production, including testing and post-release fixes, while collaborating with senior engineers and internal users.

Partners with Data Center Operations leaders on workforce planning, talent calibration, performance management, compensation, employee relations, organizational change, and workplace advisory matters. Uses data and HR expertise to identify trends, guide complex people decisions, manage risk, and deliver scalable solutions across multi-site, frontline operations. Requires regular travel to data centers and collaboration with Legal, Talent, Finance, People Operations, and Centers of Excellence.

Leads FP&A and strategic finance for supply chain and technical design organizations. Responsibilities include forecasting, budgeting, reporting, hardware costing, infrastructure rate cards, cost optimization, capital allocation, and partnership with engineering, operations, supply chain, and product teams. Manages and develops a finance team while building scalable financial processes in a high-growth, capital-intensive environment.

Lead and grow a global team of Go developers building Kubernetes operators and automation for server fleet provisioning and lifecycle management. Set technical direction, prioritize work, and collaborate with hardware, fleet operations, and infrastructure teams. Establish onboarding, documentation, enablement, performance management, testing, deployment automation, observability, incident management, and reliability practices for large-scale fleet services.

Leads the Data Service Team, hiring and developing engineers while designing and operating scalable managed database services. Responsibilities include improving performance, security, reliability, and scalability; establishing data access standards; analyzing telemetry; ensuring regulatory compliance; and partnering with platform, product, and infrastructure teams. The role requires deep database, cloud-native, distributed systems, Kubernetes, observability, and reliability engineering expertise.

Owns the design, deployment, governance, and operation of enterprise AI platforms and employee-facing agents. Builds secure control layers including identity, access, device, tenant, MCP, secrets, logging, rate limiting, and cost controls. Establishes AI lifecycle processes, evaluates and rolls out new tools, operates infrastructure to SRE standards, and develops telemetry, dashboards, runbooks, and incident response. Partners with Security, Legal, Privacy, and IT teams to translate governance requirements into enforceable technical controls.

Lead the marimo engineering team across its open-source Python notebook ecosystem and molab cloud service. Manage and mentor engineers, guide architecture and technical direction, oversee staffing and releases, improve testing and CI/CD, and establish reliable production operations including observability, incident response, and capacity planning. The role also involves evaluating community contributions, translating user feedback into product improvements, and strengthening engineering practices as the team grows.

Design and implement distributed, exabyte-scale S3-compatible object storage for AI workloads. Improve storage reliability, durability, security, observability, throughput, and latency using technologies such as RDMA, GPU Direct Storage, and distributed filesystem protocols. Collaborate with infrastructure, platform, product, and operations teams to deploy and troubleshoot production systems, develop monitoring dashboards, analyze telemetry, and mentor engineers.