Infrastructure Capacity Planner, Demand Planning
Own medium-range demand forecasts for Anthropic's expanding infrastructure fleet across accelerators, CPU, storage, network, and managed services. The role requires hands-on SQL/Python modeling, large-scale infrastructure planning experience, and partnership with sourcing, Finance, and efficiency teams.
About the job
Responsibilities
- Build and own the medium-range, multi-resource demand forecast for accelerators, CPU, storage, network, and managed services, driven by model roadmaps, reinforcement learning and inference growth, evaluation volume, and retention policy.
- Run the plan-versus-reality loop by comparing planned allocations with observed fleet occupancy weekly, surfacing unrecorded trades and stale allocations, and reducing variance with planning-tools and data teams.
- Qualify incoming capacity tranches against the forecast before signature, including resource shape, region, quarter, and supporting-resource requirements for storage, egress, and CPU.
- Partner with Finance and cost-efficiency teams to turn the forecast into core drivers covering at least 80% of non-accelerator spend and target upcoming waste.
Requirements
- Experience in capacity, demand, or supply planning for large-scale technical infrastructure such as cloud, neocloud, HPC, hyperscale, or a large internal platform.
- Ability to distinguish a forecast, a plan, and an allocation.
- Hands-on model-building experience using SQL against a data warehouse, Python/pandas, or a forecasting or optimization stack.
- Understanding of data-center resource classes, including why storage and egress forecast differently from GPUs and why chip count is not always the binding constraint.
- Preference for simple, inspectable models and the ability to instrument forecast error.
- Bachelor's degree or an equivalent combination of education, training, and experience in a relevant field.
Preferred Qualifications
- Experience with cloud or neocloud providers involving 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, including 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.
- 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.
Compensation and Benefits
- Annual compensation range: $320,000–$405,000 USD.
- Competitive compensation and benefits.
- Optional equity donation matching.
- Generous vacation and parental leave.
- Flexible working hours.
- Office space for collaboration.
- Visa sponsorship may be available.
Work Arrangement
- Hybrid policy: staff are expected to work from an office at least 25% of the time; some roles may require more office time.
Skills
SQL, Python, pandas, Forecasting, Optimization, Capacity Planning, Demand Planning, Supply Planning, Cloud Infrastructure, Hpc, Data Warehousing, Data Centers, Accelerators, Kubernetes, Observability
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