AI Infrastructure Operations, Demand Planning

Anthropic; San Francisco (CA); On-site; USD 200,000 - 280,000; Full time

Job summary

Anthropic is seeking a Capacity Engineer in San Francisco to own the demand planning forecast, translate it into per-tranche requirements, and drive sourcing negotiations and data center builds. You will manage the integrated schedule and system of record for every tranche, pushing teams to align on dates and capacity.

You’ll partner with research engineering, pretraining, inference, compute supply, and finance to maximize utilization of our infrastructure fleet across multiple clouds and on

Responsibilities

• Upstream: take Demand Planning forecast and turn it into per-tranche requirements—shape, interconnect, region, supporting resources, date—to contract for capacity.
• Downstream: own the integrated schedule and system of record for every tranche—contracted through reserved, ingested, in-cluster, healthy, and occupied—and push owners to meet dates.

Job description

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 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