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Data Center Supply Planning Lead

Anthropic · Remote-Friendly, United StatesRemotelead

In short

  • ▸Liderazgo en planificación de suministro para centros de datos en expansión.
  • ▸Construcción de modelos de pronóstico integrados y escenarios para decisiones estratégicas.
  • ▸Rol clave en la alineación de equipos técnicos, de entrega y demanda con enfoque en automatización y AI.
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What they ask for

  • ✓Liderazgo en planificación de suministro o gestión de carteras para infraestructura capital intensiva.
  • ✓Experiencia en arquitectura de procesos de planificación con mejora continua.
  • ✓Conocimiento del ciclo completo de construcción de centros de datos.
  • ✓Capacidad para rediseñar procesos de despliegue a gran escala con resultados medibles.
  • ✓Habilidades en modelado y herramientas de planificación con enfoque en automatización.
  • ✓Experiencia probada en influencia y toma de decisiones con equipos multifuncionales.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

data center buildout lifecyclesupply planningcapacity planningS&OPdeployment planningforecastingscenario modelingdelivery planning system-of-reAI-assisted developmentcross-functional collaboration

Who should you write to at Anthropic?

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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is rapidly scaling our compute infrastructure across a portfolio of datacenter builds with multiple developer partnerships. The Data Center Planning team owns the integrated view of that supply: compute allocation, decision locks, delivery progress, as well as the frameworks and tooling that underpin all of it. We’re looking for a versatile Data Center Supply Planning Lead to help build and drive the plan for data center delivery. This role has a broad view of the portfolio: you will drive the supply model that ties our accelerator/compute supply and capacity targets to the site pipeline, use it to prioritize which opportunities we pursue and how we configure them, and turn the reasoning into principles as the portfolio grows. You will also have a deep understanding of our active sites, and will build supply forecasts that our partners mobilize against and our internal teams rely on. This is a highly cross-functional role that will work closely with our deal, design, engineering, delivery, and demand planning teams to drive the framework and processes that move sites to operational readiness. Responsibilities • Build the integrated data center supply forecast and planning assumptions behind it: committed plus pipeline supply - by site, design, accelerator type, and tranche - against growth targets • Support and evolve data center portfolio reviews that ground our teams on the current state of supply, decisions needed, and their downstream impacts • Partner with technical program management, delivery, and demand planning teams so that hall readiness, install plans, and chip supply stay in sync as any of the three moves • Build and run scenarios: assess what happens to the plan if a delivery date, chip tranche, or a target changes; and develop solvers that recommend how to close gaps • Plan for the long-lead resources we should hold in inventory to create optionality and how they should be allocated strategically • Shape the process by which a new site enters delivery tracking, and the change-management process by which a date change flows to downstream teams • Support the buildout of a delivery planning system-of-record; partner with our internal tooling team on the build You may be a good fit if you • Have led supply/capacity planning or portfolio management for data centers, power, or similar capital-intensive infrastructure • Have architected supply planning processes and driven their cadence with continuous improvement • Have redesigned a delivery or deployment process at scale and can point to what it improved • Know the full data center buildout lifecycle, from acquisition, design, and sourcing through construction, commissioning, and deployment • Have built planning models/tools with the goal of automation, while leveraging AI-assisted development • Proactively surface opportunities and risk across functions and drive resolution • Have a track record of driving outcomes through influence with cross-functional partners Strong candidates may also have • Capacity planning, S&OP, or deployment planning experience at a hyperscaler or large industrial operator <

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