Top Tech Jobs & Startup Jobs in Seattle, WA

Own full-cycle recruiting for GTM, Sales, Solutions Architecture, and business roles. Partner with senior leaders on hiring plans, role calibration, sourcing, assessment, offer strategy, and closing. Advise on leveling, compensation, interview design, and decision quality while managing recruiting funnels, timelines, metrics, candidate experience, and process improvements. Provide additional recruiting support for Finance, Legal, People Operations, Marketing, IT, Procurement, and Executive Support.

Configure, provision, monitor, and maintain large-scale GPU supercomputing clusters. Troubleshoot hardware, software, networking, and platform issues; coordinate resolutions across infrastructure teams; analyze system performance; document processes; improve operational efficiency; and participate in after-hours and weekend on-call rotations.

Leads the Launch and Sandboxes engineering team building cloud execution environments, job submission services, compute orchestration, and HPC integrations. Owns roadmap delivery, architecture, reliability, technical debt, customer outcomes, and cross-team coordination. Develops engineers into autonomous leaders while maintaining technical fluency in Go, Python, Kubernetes, distributed systems, authentication, and billing infrastructure.

Leads FP&A for the CPU product organization, including forecasting, budgeting, long-range planning, pricing, financial reporting, risk management, and product strategy analysis. Partners with product, engineering, capacity, infrastructure, and operations teams to evaluate investments, develop forecasts, define launch metrics, and support growth initiatives.

Design, develop, and operate software platforms that automate CoreWeave’s network, including configuration generation, device provisioning, workflow automation, observability, CLIs, and APIs. Write tested Python and Go code, improve service reliability, define SLIs and SLOs, participate in on-call operations, lead architecture decisions, plan complex projects, collaborate across infrastructure teams, and mentor engineers.

Develop AI agents, copilots, full-stack applications, backend services, and enterprise integrations for internal business workflows. Build React and TypeScript interfaces, automate data processing, integrate LLM APIs, write tests, troubleshoot defects, and support deployments. Collaborate with engineers and business stakeholders across Finance, Supply Chain, HR, Legal, and data center operations while following security, monitoring, documentation, and code-quality practices.

Lead cross-functional technical programs spanning data center operations, supply chain, finance, and IT. Own integrated plans, dependencies, risks, delivery cadence, migrations, DCIM deployments, telemetry improvements, system integrations, testing, go-live readiness, and operational handoffs. Coordinate business owners, product, engineering, facilities, data teams, suppliers, and senior stakeholders to deliver reliable systems and scalable execution mechanisms across multiple sites.

Lead the vision, strategy, roadmap, portfolio, and go-to-market execution for AI inference cloud services. Partner with engineering, customers, sales, marketing, and industry partners to solve scaling and optimization challenges across specialized GPU infrastructure. Evaluate AI and cloud technology trends, define differentiated inference capabilities, translate customer needs into product investments, and drive business growth through innovative AI cloud products.

Lead technical direction for vulnerability management, including security tooling, automation, LLM-based workflows, risk assessment, remediation, and vulnerability investigations. Build production services integrating security data, coordinate remediation across engineering teams, participate in vulnerability response, conduct post-mortems, and mentor engineers. The role also evaluates exploitability, attack paths, CVEs, and remediation priorities across cloud, Linux, container, and Kubernetes environments.

Architects and implements network security for hyperscale cloud and AI infrastructure, including firewalls, intrusion prevention, segmentation, zero trust, monitoring, and incident response. Secures GPU clusters, high-speed interconnects, and cloud services while collaborating with networking, infrastructure, DevOps, and software teams. The role also contributes to security policies, compliance controls, design reviews, automation, and security education across the organization.