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AI Infrastructure Operations, Demand Planning

Anthropic· Software Engineering - Infrastructure
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Hybrid (San Francisco, CA), Hybrid (New York City, NY)$320k - $405kFull-timePosted 2mo ago

About the role

Role within Anthropic's Capacity Engineering team focusing on turning demand forecasts into per-tranche requirements, managing the integrated schedule, and ensuring in-flight capacity from contract through occupancy across multiple regions and sites.

Responsibilities

  • Turn the forecast into per-tranche requirements. Take the Demand Planning forecast plus input from researchers and planners, converting it into accelerator, interconnect, region, supporting-resource, and date requirements for each tranche; represent these in sourcing negotiations and data center build reviews.
  • Qualify tranches for deliverability before signature. Sign off on schedulability, health, and instrumentation in the target region and date, with storage, egress, identity in place.
  • Close the delivery loop. Track forecast-versus-delivered for shape, region, and timing; publish variance; feed back to Demand Planning and next contracts.
  • Own the bring-up system of record. Define canonical contract-to-occupied state machine as a first-class object in the capacity data layer for in-flight capacity visibility.
  • Run a portfolio of bring-ups in parallel (new cloud regions, on-prem sites, neocloud blocks) with an integrated schedule spanning provider milestones, cluster creation, network turn-up, storage readiness, health burn-in, and first-workload landing.
  • Drive readiness automation: integrate all capacity systems from contracted through ingested, automated and scaled.
  • Instrument and publish the numbers that matter (time-to-occupied and paid-idle dollars per tranche) with executive-level reporting on status, tradeoffs, and risk across the portfolio.

Qualifications

  • Significant experience delivering large-scale infrastructure — cloud regions, accelerator clusters, HPC systems, or bare-metal fleets — at multi-region scale or ≥10k accelerators (or CPU/storage equivalent).
  • Technical range from cluster orchestration and node health to telemetry and planning tables; ability to debug disagreements.
  • SQL and enough Python to build reporting and answer questions.
  • A degree in a technical field or equivalent engineering track record.

Skills

Required:Forecast-to-slice translationTranche deliverability assessmentSchedule managementBring-up system of recordPortfolio coordinationReadiness automationMetrics and reporting

Benefits

  • Competitive compensation and benefits
  • Optional equity donation matching
  • Generous vacation and parental leave
  • Flexible working hours
  • Office space for collaboration
Last updated Aug 12, 2026. Interested? Apply on the company site.

About Anthropic

building reliable, interpretable, and steerable AI systems

Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.

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