AI Infrastructure Operations, Demand Planning

🏢 Anthropic · 📍 San Francisco, CA | New York City, NY 💰 $320,000 - $320,000 / yr
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Position Summary & Responsibilities

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 runs one of the largest and fastest-growing infrastructure fleets in the industry, across multiple accelerator families, CPU families, clouds, neoclouds, and on-prem sites. Capacity Engineering owns the data, tooling, and systems that let Anthropic plan, measure, and maximize utilization of that fleet: we partner on supply deals, wire telemetry from day zero, own the canonical capacity data layer, and build the planning and enforcement tools every research and product team relies on. This role sits in the Planning pillar, on the Demand Planning team, and works daily with research engineering, pretraining, inference, compute supply, finance, and external vendors.

You own the tranches. The job has two halves that feed each other. Upstream, you take the Demand Planning forecast and turn it into per-tranche requirements — shape, interconnect, region, supporting resources, date — and carry those into sourcing negotiations and data center build reviews so we contract for capacity we can actually use when we need it. Downstream, you own the integrated schedule and system of record for every tranche in flight — from contracted through reserved, ingested, in-cluster, healthy, and occupied — and you drive the owners of each hop to their dates. Every slip you see downstream becomes a contract-language fix, an automation, or a correction fed back to the forecast.

What you'll do

  • Turn the forecast into per-tranche requirements. Take the Demand Planning forecast plus direct input from research, pretraining, and inference planners, and convert it into concrete accelerator, interconnect, region, supporting-resource, and date requirements for each tranche. Represent those in sourcing negotiations and data center build reviews, including which contractual terms actually move delivery dates.
  • Qualify tranches for deliverability before signature. The Capacity Planner signs fit-to-forecast; you sign whether the shape can land schedulable, healthy, and instrumented in that regi
🎯 Candidate Preparation Guide For Anthropic Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Evaluating candidates on extreme intellectual humility combined with rigorous mechanical safety, specifically testing how well you navigate high-ambiguity AI alignment and scaling challenges.

📋 Preparation Priorities (Key Areas to Clarify):
  • 1. Using hype-driven buzzwords like 'AGI in 6 months' or dismissing safety guardrails as bureaucratic slow-downs.
  • 2. Exhibiting arrogance or defensiveness when an interviewer pushes back on a system architecture design.
  • 3. Lacking foundational systems-level debugging experience in distributed compute or large-scale data pipelines.
✨ Recommended Role Alignment Hook:

I build robust, interpretable AI systems by treating safety and capability as deeply coupled engineering challenges rather than competing constraints.

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