Jobs at CoreWeave

Own strategic backbone network capacity planning, procurement, forecasting, vendor negotiations, solution reviews, and regional expansion across international carrier and fiber networks. Manage capacity, resilience, diversity, documentation, and multi-site upgrade plans. Collaborate with Engineering, Operations, Supply Chain, Construction, and Product teams while mentoring planners and shaping planning processes. The role requires deep expertise in wavelength, dark fiber, network architecture, and EMEA/APAC carrier and subsea markets.

Lead multi-year portfolio-level product strategy for CoreWeave’s AI cloud platform. Analyze customer needs, market trends, and AI/ML technology developments to shape product vision and roadmap. Align product areas with company strategy while balancing technical innovation, usability, and market viability. Collaborate with product, engineering, and leadership teams to drive data-informed decisions and maintain CoreWeave’s competitive position in the AI hyperscaler market.

Lead infrastructure capacity planning for hardware New Product Introduction programs. Track power, cooling, network, and data center hardware roadmaps; determine ordering cut-over points; define scope and BOM requirements; and coordinate Capacity, Supply Chain, Construction, Design, Engineering, and vendors. Drive infrastructure-readiness workstreams, milestones, risks, technical documentation, and scaling plans for new GPU, CPU, rack, power, cooling, and networking systems, including liquid-cooling architecture transitions.

Build and operate ARIA, an AI research and iteration agent, across backend infrastructure and React frontend systems. Develop distributed workers, streaming architectures, APIs, real-time interfaces, billing and configuration UIs, observability dashboards, and secure code execution controls. Own features end to end, improve reliability and scalability, and collaborate with ML science, product, iOS, and SRE teams. The role requires Python, FastAPI, Kubernetes, TypeScript, React, transactional databases, and production AI agent experience.

Lead a six-person engineering team responsible for W&B Artifacts and Registry, owning roadmap, delivery, architecture, reliability, and production operations. Guide development of data-intensive platform systems involving object storage, model registries, lineage, permissions, and distributed backends. Partner with product and infrastructure teams to integrate W&B with CoreWeave, grow engineers into technical leaders, and balance innovation with data durability, uptime, technical debt, and on-call responsibilities.

Designs and operates enterprise-scale data platforms, including batch and streaming pipelines, transformation and orchestration workflows, analytical data warehouses, telemetry systems, data catalogs, semantic layers, and AI-supporting data interfaces. The role requires production monitoring, incident support, architectural decision-making, and collaboration with engineering, analytics, data science, and business stakeholders.

Build and scale Weave, an observability, evaluation, and monitoring platform for AI agents and generative AI applications. Responsibilities include developing robust APIs, integrating agent harnesses and SDKs, improving backend performance for high-volume production workloads, and creating evaluation, tracing, monitoring, labeling, and playground features. The role involves direct customer collaboration, rapid product iteration, and work across AI infrastructure and developer tooling.

Own the architecture and evolution of core Weights & Biases ML workflow systems, including Artifacts, Registry, Automations, and Launch. Design scalable services, optimize complex systems, lead migrations and re-architecture, reduce technical debt, and improve reliability. Work across Go backends, GraphQL APIs, Python SDKs, and TypeScript frontends while collaborating with product, design, customers, and ML platform teams. Mentor engineers and establish engineering best practices for high-volume, production AI infrastructure.

Leads CoreWeave’s AMER inference market strategy, driving adoption of Serverless and Dedicated Inference offerings. Engages customers on AI runtime architecture, serving frameworks, performance, latency, throughput, cost-per-token economics, and deployment tradeoffs. Shapes product and engineering roadmaps through customer feedback, develops technical playbooks and benchmark narratives, supports complex sales opportunities, and builds repeatable go-to-market motions for production-scale AI workloads.

Leads end-to-end technical programs for scalable AI inference platforms, including customer onboarding, launch readiness, reliability, runtime optimization, release validation, and operational excellence. Coordinates engineering, product, infrastructure, and go-to-market teams while establishing metrics, dashboards, launch gates, review cadences, and postmortem processes. Drives predictable delivery and measurable improvements in latency, throughput, uptime, price-performance, supportability, and customer outcomes.

Leads legal strategy for global energy and power procurement supporting hyperscale data centers and cloud infrastructure. Negotiates PPAs, utility agreements, interconnection and transmission contracts, renewable energy transactions, and infrastructure development agreements. Advises executives on energy regulation, manages PUC and FERC compliance, supports financing and construction initiatives, coordinates international regulatory matters, mitigates power availability risks, and manages outside counsel and legal budgets.

Build and maintain fault-tolerant Kubernetes infrastructure on bare metal, including automated control-plane provisioning, cluster lifecycle management, operators, testing, reliability improvements, and production support. Develop tooling with Python, Golang, and Bash; troubleshoot Linux and Kubernetes systems; use GitOps, Ansible, CI/CD, and Grafana; and participate in an on-call rotation.

Manage full-cycle recruiting for internships, new graduate, apprenticeship, and other early-career roles. Build diverse talent pipelines through university partnerships, sourcing, events, and referrals; coordinate interviews, offers, and onboarding; partner with hiring managers and cross-functional teams; maintain recruiting data in Greenhouse and Gem; track funnel metrics; and improve inclusive, scalable recruiting processes.

Executive Assistant supporting the Chief Marketing Officer and partnering with the Chief of Staff. Responsibilities include complex calendar management, domestic and international travel coordination, executive gatekeeping, expense reconciliation, event planning, project coordination, and confidential information handling. The role requires frequent travel between New York and New Jersey offices, approximately 60% travel alongside the CMO, regular onsite presence, and availability outside standard business hours.

Drive new HCLS customer acquisition for CoreWeave’s AI cloud, leading commercial and technical strategy for complex pharmaceutical, biotech, medical device, payer, and health system deals. Translate regulated AI infrastructure needs into product feedback, technical playbooks, benchmark narratives, and multi-year commercial structures. Advise senior computational science and infrastructure leaders on GPU architecture, secure workloads, storage, networking, and compliance while partnering with product, infrastructure, sales, solution architecture, and ecosystem teams.

Build and maintain finance data models, automated pipelines, dashboards, and reports for planning, forecasting, close, and executive reporting. Govern finance metrics, reconcile data to source systems and the general ledger, resolve data quality issues, and collaborate with FP&A, Accounting, and Data Engineering. Apply BI best practices such as dimensional modeling, documentation, testing, version control, and data governance while translating finance needs into scalable data solutions.

Supports CoreWeave’s sales organization by reviewing pricing requests, structuring commercial proposals, modeling deal economics, and assessing P&L impacts. Partners with account executives, account managers, and revenue leadership to provide data-driven recommendations, balance customer needs with financial objectives, and improve deal desk processes. The role requires strong financial modeling, quantitative analysis, attention to detail, and the ability to operate effectively in a fast-paced environment.

Build and lead CoreWeave’s university recruiting program, including strategy, campus partnerships, recruiting processes, internship programming, candidate assessment, and conversion initiatives. Manage and develop a recruiting team, collaborate with hiring leaders to forecast early-career needs, establish scalable and inclusive processes, track program metrics, manage budgets, and strengthen the employer brand among technical student audiences.

Build qualified sales pipeline through targeted prospecting, tailored email and Zoom outreach, lead qualification, account research, and collaboration with Marketing and Account Executives. The role requires meeting sales quotas, maintaining CRM records, handling objections, understanding cloud and AI products, and identifying new opportunities in target markets.

Leads recruiting coordination and interview operations teams, including people development, workforce planning, capacity management, reporting, and candidate experience. Partners with recruiting leaders and business stakeholders to scale processes, improve service delivery, and implement cross-functional changes. Uses recruiting data, dashboards, and operational metrics to guide workforce decisions, identify risks, and recommend improvements across regions and hiring groups.