Anthropic

AI Infrastructure Operations, Demand Planning

8.0/10
Anthropic
$320,000 – $405,000 USD229.5% above market
Hybrid
mid
about 5 hours ago
AI SummaryVerified by Aipplify AI

The vacancy is well-structured with clear expectations and compensation, making it appealing to qualified candidates.

AI quality score8.2 / 10

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Overview

Join Anthropic as an AI Infrastructure Operations professional in Demand Planning, where you'll manage large-scale infrastructure and ensure efficient capacity utilization.

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.

What you'll do

  • Turn the forecast into per-tranche requirements.
  • Represent those in sourcing negotiations and data center build reviews.
  • Qualify tranches for deliverability before signature.
  • Close the delivery loop.
  • Own the bring-up system of record.
  • Run a portfolio of bring-ups in parallel.
  • Drive readiness automation.
  • Instrument and publish the numbers that matter.

What the company offers

  • Annual Salary: $320,000 — $405,000 USD.
  • Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time.
  • Visa sponsorship: We do sponsor visas!
  • Competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours.

What you bring

  • Significant experience delivering large-scale infrastructure — cloud regions, accelerator clusters, HPC systems, or bare-metal fleets.
  • Technical range from cluster orchestration to telemetry and planning tables.
  • SQL and enough Python to answer your own questions.
  • A degree in a technical field or an equivalent engineering track record.
  • Preferred experience with reserved-capacity onboarding, private offers, or capacity commitments.
  • Data center or colocation delivery experience.
  • Systems of record or lifecycle services for infrastructure assets.
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