Land and Data Center Development

🇺🇸 San Francisco, California
$2K - $3K Annual
Posted Just posted
Expires January 10, 2027

About the Team

OpenAI’s Compute organization builds the infrastructure that powers frontier AI training and inference. This work brings together commercial, technical, strategy, and operations teams to secure and develop the sites and capacity needed for large-scale compute deployment.

We partner across real estate, power, engineering, legal, finance, and delivery to connect infrastructure needs with viable development opportunities and executable commercial agreements.

About the Role

We’re looking for a commercial real estate (CRE) development professional to help secure land and data-center capacity for OpenAI’s compute infrastructure. This is a combined role spanning land acquisition and development, data-center leasing, and real estate acquisitions. The ideal candidate is particularly strong in land and can also contribute across data-center transactions.

You’ll source and evaluate opportunities, structure and negotiate agreements, and coordinate commercial and technical diligence. Working with legal, finance, engineering, and development partners, you’ll connect transaction decisions with infrastructure requirements and carry opportunities through agreement execution and handoff.

Responsibilities

- Lead sourcing, evaluation, and commercial execution of land acquisition opportunities for data-center development.

- Support data-center leasing and real estate acquisitions, working across land and data-center transactions as priorities require.

- Build relationships with landowners, brokers, developers, and data-center counterparties to source opportunities.

- Structure and negotiate land acquisition, site-control, and data-center lease agreements with legal and business partners.

- Coordinate diligence with legal, finance, engineering, and development partners, translating site constraints and readiness risks into commercial decisions.

- Evaluate deal economics and present clear recommendations on costs, terms, tradeoffs, and next steps.

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