AI Infrastructure Operations, Demand Planning

Location: San Francisco, CA or New York City, NY; staff are expected to work from one of the offices at least 25% of the time.

Annual salary: $320,000–$405,000 USD.

Company

Anthropic is a public benefit corporation building reliable, interpretable, and steerable AI systems.

What you will do

• Translate demand forecasts and stakeholder input into accelerator, interconnect, regional, supporting-resource, and delivery-date requirements for each capacity tranche.
• Assess whether proposed capacity can be delivered as schedulable, healthy, and instrumented infrastructure before contracts are signed.
• Track forecast-versus-delivered variance and feed delivery findings into demand planning, sourcing negotiations, and future contracts.
• Define and maintain the contract-to-occupied lifecycle state machine and canonical system of record for in-flight capacity.
• Coordinate parallel cloud, on-premises, and neocloud bring-ups across provider milestones, cluster creation, networking, storage, health burn-in, and workload landing.
• Automate readiness workflows and publish executive reporting on time-to-occupied, paid-idle costs, status, trade-offs, and portfolio risk.

Requirements

• Significant experience delivering large-scale infrastructure such as cloud regions, accelerator clusters, HPC systems, or bare-metal fleets at multi-region scale or equivalent capacity.
• Technical understanding spanning cluster orchestration, node health, telemetry, capacity data, and planning systems.
• Experience using SQL and enough Python to investigate infrastructure data and build reporting.
• Bachelor’s degree in a relevant technical field or equivalent engineering experience.
• Ability to work from the San Francisco or New York City office at least 25% of the time.

Nice to have

• Experience with reserved-capacity onboarding, private offers, or cloud and neocloud capacity commitments.
• Demand-planning experience, including challenging forecasts and translating them into tranche-level requirements.
• Data center or colocation delivery, power and space planning, network turn-up, site acceptance, or vendor management.
• Experience with accelerator health, burn-in, collective-communications testing, fleet-health SLOs, or infrastructure lifecycle systems.
• Experience onboarding new hardware generations into scheduler and observability systems.

Culture & Benefits

• Collaborative, research-driven environment focused on large-scale efforts in safe and beneficial AI.
• Frequent research discussions and strong emphasis on communication and cross-functional collaboration.
• Flexible working hours and office collaboration.
• Competitive compensation, optional equity donation matching, generous vacation, and parental leave.
• Visa sponsorship may be available, with immigration-lawyer support, depending on the role and candidate.