Head of Compute and Capacity - Lithos Ai

Unusual Ventures, San Francisco Bay Area

What you will do

Own the multi-year capacity plan. Translate demand forecasts and the model roadmap into GPU, network and data-center requirements, and stay ahead of demand rather than chasing it.
Run procurement across vendors. Source and negotiate GPU capacity, networking and colocation across neoclouds, colo providers, OEMs and hyperscalers. Build a vendor bench deep enough that no single supplier can hold us hostage.
Own the commercial terms. Lead contracts end to end: commit profiles, drawdown schedules, pricing, acceptance testing, uptime definitions, service credits, network fabric performance guarantees and SLA remedies. You will take over live, in-flight deals on day one.
Build a rolling price book and vendor scorecard. Track market pricing, delivery reliability and real-world performance by vendor, region and GPU generation.
Model total cost of ownership (TCO) per unit of performance. Measure cost per token and cost per GPU-hour against what the hardware actually delivers, and make that the basis for every capacity decision.

Unusual Ventures, San Francisco Bay Area

Own the multi-year capacity plan. Translate demand forecasts and the model roadmap into GPU, network and data-center requirements, and stay ahead of demand rather than chasing it.
Run procurement across vendors. Source and negotiate GPU capacity, networking and colocation across neoclouds, colo providers, OEMs and hyperscalers. Build a vendor bench deep enough that no single supplier can hold us hostage.
Own the commercial terms. Lead contracts end to end: commit profiles, drawdown schedules, pricing, acceptance testing, uptime definitions, service credits, network fabric performance guarantees and SLA remedies. You will take over live, in-flight deals on day one.
Build a rolling price book and vendor scorecard. Track market pricing, delivery reliability and real-world performance by vendor, region and GPU generation.
Model total cost of ownership (TCO) per unit of performance. Measure cost per token and cost per GPU-hour against what the hardware actually delivers, and make that the basis for every capacity decision.