AI Infrastructure Operations, Demand Planning

Overview

Own demand planning from forecast-to-contract needs and ensure contracted capacity becomes healthy, instrumented capacity on schedule across tranches.

What you'll do

• Convert the demand planning forecast and planner inputs into per-tranche accelerator, interconnect, region, supporting-resource, and date requirements.
• Represent tranche requirements in sourcing negotiations and data center build reviews, including contractual terms affecting delivery dates.
• Qualify tranches for deliverability before signature, including fit-to-forecast and readiness that enables scheduled, healthy, and instrumented capacity.
• Track forecast-versus-delivered shape, region, and timing variance for every tranche and feed variance back into demand planning and the next contract.
• Define and operate a canonical contract-to-occupied state machine with explicit entry/exit criteria and maintain it as part of the capacity data layer.
• Run parallel bring-up schedules spanning provider milestones through cluster creation, network turn-up, storage readiness, health burn-in, and first workload landing.
• Drive readiness automation and instrument metrics such as time-to-occupied and paid-idle dollars per tranche with executive-level reporting.

What you'll need

• 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 across through-cluster orchestration and node health plus telemetry and planning tables to debug mismatches.
• SQL and enough Python to answer questions and build reporting.
• A bachelor’s degree in a technical field or equivalent engineering track record.

Details

• Annual salary range: $320,000–$405,000 USD.
• Location-based hybrid policy: expect staff in an office at least 25% of the time.
• Visa sponsorship is available via reasonable efforts if offered.