Infrastructure Capacity Planner, Demand Planning

Anthropic · San Francisco, CA | New York City, NY · Software Engineering - Infrastructure · listed August 11, 2026

The shape of it

Seniority
Not stated
Where
Hybrid
Stated pay
$320,000 – $405,000 USD
Requirements listed
3
Length
1,070 words

In the posting’s own words

As an Infrastructure Capacity Planner on the Demand Planning team, you'll own the medium-range demand forecast for every resource class we consume: accelerators, CPU, storage, network, and managed services. Your forecast will support sourcing and purchasing, prioritization, efficiency targets, and workload optimization.

What it asks for · 3

  • Direct experience with cloud or neocloud providers on reserved-capacity onboarding, private offers, or capacity commitments.
  • Experience with accelerator health and burn-in, collective-communications sanity testing, or fleet-health SLOs, and the ability to define healthy rigorously.
  • Experience building lifecycle or state-machine services, or systems of record for infrastructure assets.

Also a plus

  • Direct experience with cloud or neocloud providers on reserved-capacity onboarding, private offers, or capacity commitments.
  • Demand planning or forecasting experience for accelerator fleets, including translating research or product roadmaps into resource requirements.
  • Data center or colocation delivery experience: power and space planning, network turn-up, site acceptance criteria, and vendor management.
  • Experience with accelerator health and burn-in, collective-communications sanity testing, or fleet-health SLOs, and the ability to define healthy rigorously.
  • Experience building lifecycle or state-machine services, or systems of record for infrastructure assets.
  • Experience onboarding a new hardware generation into an existing scheduler and observability stack.

What the job covers

  • Build and own the medium-range multi-resource demand forecast: accelerators by chip/interconnect class, CPU by shape, storage by tier and access pattern, egress by path, managed services by SKU — driven by model roadmap, RL/inference growth, eval volume, and retention policy rather than trend lines.
  • Run the plan-vs-reality loop. Diff planned allocations against observed fleet occupancy weekly, surface unrecorded trades and stale allocations, and drive variance toward zero with our planning-tools and data teams.
  • Qualify each incoming capacity tranche against the forecast before signature: right shape, region, quarter, and supporting-resource envelope (storage, egress, CPU).
  • Partner with Finance and cost-efficiency teams to turn the forecast into core drivers covering the large majority (≥80%) of non-accelerator spend, and to aim savings work where waste will appear next.

Tools and skills named

Go to market
  • Forecasting2×
Languages
  • Python
  • SQL
Models & research
  • GPU
  • Inference
Cloud & infra
  • Observability
Data
  • Pandas
Operations & finance
  • Vendor management
Product & design
  • Roadmap
Ways of working
  • Testing

Words the posting leans on

  • capacity8×
  • forecast8×
  • experience6×
  • planning6×
  • demand5×
  • accelerator4×
  • every4×
  • infrastructure4×
  • storage4×
  • allocations3×
  • build3×
  • cloud3×
  • cpu3×
  • data3×
  • egress3×
  • fleet3×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched August 24, 2026 and last changed by Anthropic on August 21, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.