Top Tech Jobs & Startup Jobs in Seattle, WA

Provide legal counsel to CoreWeave’s U.S. West sales organization on complex cloud, SaaS, IaaS, PaaS, software licensing, partnership, and data processing transactions. Draft and negotiate commercial technology agreements, advise stakeholders on legal and commercial risks, support enterprise sales cycles, manage concurrent transactions, and improve contract templates, playbooks, policies, and processes. Coordinate with outside counsel and counsel senior business leaders on high-value and cross-border deals.

Lead CoreWeave’s product regulatory governance program and advise Product, Engineering, AI, Security, Supply Chain, and Operations teams. Responsibilities include reviewing products and AI capabilities, assessing international regulatory risks, embedding privacy, responsible AI, security, and data-governance requirements, advising on market entry and launches, monitoring global laws, and leading regulatory inquiries, audits, investigations, and remediation.

Own CoreWeave’s AI training infrastructure narrative, positioning, competitive messaging, customer evidence strategy, go-to-market approach, and sales enablement. Translate Kubernetes, scheduling, bare-metal performance, and distributed training capabilities into compelling messaging for AI research leaders, platform engineers, developers, and technical architects. Partner with technical teams on benchmarking, collaborate with Sales, Solutions Architects, and DevRel, and measure impact through deal velocity, contract value, competitive win rates, adoption, and retention.

Lead and scale a Field Planning & Performance Center of Excellence for revenue: own GTM coverage and role design, territory/headcount/quota planning, sales incentive programs, revenue modeling and predictive forecasting, performance analytics, and global operating rhythms. Build and manage a high-performing team and partner with Finance, People, and regional RevOps to ensure consistent, data-driven planning and measurement across segments and geographies.

Own and evolve a Kubernetes-native test framework that qualifies host images on real hardware. Build test harnesses, extend coverage into HPC, Slurm-on-Kubernetes and firmware/hardware, keep CI fast and reliable at fleet scale, and own results, reporting, and triage. Collaborate with kernel, firmware, imaging, and HPC teams and explore LLM-driven log triage and failure classification.

Lead and grow strategic partnerships across the Physical AI stack (robotics, simulation, autonomous systems). Drive joint product integrations, co-innovation, go-to-market motions, co-sell opportunities, and partner-aligned roadmaps with NVIDIA and key platform/OEM partners. Influence Product and Engineering requirements, execute quarterly business plans, and represent CoreWeave at industry events to accelerate revenue and market adoption.

Lead category strategy, RFPs, negotiations, and supplier selection for data center infrastructure equipment and services. Manage supplier KPIs, risk mitigation, procurement delivery, and cross-functional coordination with engineering, construction, supply chain, and finance. Support construction schedules, logistics, Workday receiving, and continuous process improvement to meet rapid data center growth.

Leads a full-stack Fleet Engineering team building Go and React/TypeScript tools for hardware ticketing, technician repairs, and fleet inventory workflows. Owns hiring, team development, product delivery, release cadence, reliability, observability, incident response, architecture, and cross-team APIs. Partners with operations stakeholders to improve data center hardware lifecycle management and fleet efficiency.

Leads commercial and technical strategy for CoreWeave’s AI infrastructure offerings, driving new customer wins involving GPU compute, high-speed networking, Kubernetes, and platform reliability. Translates customer requirements into compute and networking roadmap priorities, develops deal structures and technical playbooks, supports GPU reservation negotiations, and serves as an expert advisor on cluster architecture, network fabrics, performance, capacity, and distributed training.

As a Solutions Architect, engage with customers to architect cloud solutions, optimize workloads, and provide technical leadership while collaborating with engineering teams.