Site Selection Lead

3 дн. назад

СШАLeadRemote

Lead site selection strategy to support the deployment of scalable AI compute infrastructure.

is a market and infrastructure platform to buy, sell, and operate compute.
We believe demand for compute will grow exponentially. So fast that a handful of vertically integrated providers won't be able to scale across operations, capital, supply chains, and politics to serve it. The result is a massive wave of fragmentation, with AI factories of every shape and size coming to market to fill this demand. Our job is to enable all of that fragmented compute to flow through one platform, delivering reliable capacity to model builders, research labs, and inference providers when they need it.
We believe every spare electron should be made productive for AI and we're building the platform that makes that possible.

's infrastructure team designs, deploys, and operates large-scale GPU clusters for AI labs and compute providers. The Site Selection Lead finds, qualifies, and secures the data centers our clusters are deployed into. You own the full cycle from market screening through diligence, lease negotiation, and handoff to delivery. You report to the Head of Infrastructure.
Market screening: Assessment of markets and inbound opportunities on power availability, scalability, cost, permitting, and tax.
Pipeline: An accurate pipeline of sites, deal status, documentation, and milestones, with risks and delays flagged early.
Diligence: Site-level diligence on power capacity and utility timelines, cooling (direct liquid cooling readiness, CDUs, facility water), structure, connectivity, zoning, andpermitting, including on-site evaluations.
Lease negotiation: Negotiations with landlords and operators from LOI through execution, working with Legal and Finance.
Relationships: Brokers, landlords, utilities, consultants, and development partners across markets.
Handoff: A clean handoff into delivery, buildout, and operations, with technical requirements, commercial commitments, and timelines aligned.

Experience: 6+ years in data center site selection, infrastructure development, or commercial real estate with technical diligence.
Market knowledge: Strong knowledge of US data center markets, utility infrastructure, and regional regulatory frameworks.
Negotiation: You have led commercial lease negotiations and complex due diligence through to execution.
Technical depth: You can read single-line diagrams and MEP drawings and spot gaps in power and cooling redundancy.
High-density cooling: You understand liquid-cooled deployments at 100kW+ per rack.
Judgment: You make clear recommendations from incomplete information and stand behind them.

Companies that need reliable, high-performance compute fast
A fragmented global supply of GPUs across hyperscalers, neoclouds, and independent data centers
Capital, risk, and operational complexity that most teams are not equipped to manage
When we succeed, trillions of dollars of compute will flow through . Builders get capacity when they need it. Providers get a reliable way to monetize, operate, and finance infrastructure at scale. Capital gets an easy way to deploy, hedge, and underwrite. In five years, won't just participate in the AI infrastructure market. We will shape it.
Brokerage only: Real estate experience without technical diligence.
Power: Utility interconnection, power procurement, or behind-the-meter generation experience.
International: Site work in Europe, the Middle East, or Asia.
Credentials: PE license or equivalent engineering qualification.
Set the site evaluation standard for every deployment
Work across new AI data center capacity in multiple markets
High talent density, high trust team shaping the compute market
Comprehensive benefits for you and your dependents, including healthcare, dental, and vision coverage, 401(k), and unlimited PTO