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Leads and builds CoreWeave’s global enterprise risk and compliance function, including ERM frameworks, risk assessments, KRIs, risk appetite, governance, assurance coordination, compliance tracking, and Board and Audit Committee reporting. The role develops a risk team, partners across Security, Legal, Finance, IT, and Operations, and establishes scalable processes for a high-growth AI infrastructure company.

Senior individual contributor responsible for managing network backbone and fiber connectivity programs supporting new data center markets and sites. Owns program plans, interdependencies, vendor deliverables, contracting, construction, testing, connectivity readiness, and service turn-up. Drives cross-functional accountability across Legal, Finance, Engineering, Operations, and Sourcing while managing risks, capacity constraints, route diversity, and critical-path milestones. Builds scalable intake workflows, tracking systems, milestone frameworks, and portfolio reporting.

Lead a team of technical recruiters and sourcers responsible for full-cycle engineering hiring. Partner with senior engineering leaders to develop sourcing strategies, establish pipeline reviews, capacity planning, and reporting, and improve hiring metrics such as pipeline health, time-to-fill, and conversion rates. Coach recruiting staff, manage hiring outcomes, and collaborate with People, Compensation, and HRBP stakeholders on leveling, offers, calibration, organizational design, and workforce planning.

Provide technical leadership for security-critical distributed systems, including authorization platforms, a Security Token Service, anomaly detection, bot defense, and API authentication gateways. Define multi-region architectures, fault-tolerance strategies, consistency models, security boundaries, observability, and operational standards. Guide architecture and design reviews, reliability and performance efforts, incident learning, and production readiness while mentoring senior engineers and aligning cross-functional teams.

Leads technical due diligence for prospective data center sites, evaluating electrical, mechanical, civil, structural, architectural, utility, zoning, and infrastructure feasibility. Reviews provider proposals, capacity data, conceptual layouts, and building documentation; identifies risks, upgrades, cost and schedule impacts; prepares go/no-go recommendations and technical assessments. Coordinates with utilities, landlords, developers, internal subject matter experts, and design teams, then hands secured sites to Design Managers. Frequent travel is required.

Own the strategy, roadmap, and execution for W&B Launch, infrastructure insights, and infrastructure-native developer tools integrating W&B with CoreWeave. Partner with frontier AI teams, platform engineering, and W&B engineering to improve job submission, compute orchestration, observability, and automated research workflows. Drive product concepts from discovery through launch, translate infrastructure needs into developer experiences, and measure and iterate on product impact.

Design and review data center white space infrastructure for high-density computing environments. Coordinate electrical, mechanical, cooling, low-voltage, cabling, and network pathway systems; review drawings, submittals, RFIs, and field conditions; oversee consultants; resolve design and constructability issues; and support construction, commissioning, and deployment. Contribute to design standards, scalability, technical documentation, and mentorship across CoreWeave’s data center portfolio.

Lead enterprise eDiscovery and insider-risk investigations by collecting, preserving, analyzing, and reviewing data from cloud infrastructure, endpoints, and repositories. Build AI-powered automation, correlate activity logs into investigative timelines, manage legal holds and governance policies, support digital forensics, and produce structured evidence packages for Security, Legal, HR, and investigative teams.

Build and operate full-stack applications and AI-facing features for CoreWeave’s internal data platform. Responsibilities include developing TypeScript, React, Next.js, and Python services; designing APIs and relational data models; integrating analytical data platforms; deploying on Kubernetes; and owning production reliability, testing, observability, and on-call support. The role also involves collaborating with non-engineers to define processes, shipping LLM-backed applications, and evaluating AI output quality.

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.