Member of Technical Staff - Data Center Strategy

ai& is a new global AI technology company dedicated to meeting the world's growing demand for AI. Our vision is twofold: to serve as a premier AI lab specializing in localization, and to act as a global infrastructure and compute provider. We are building a unified, optimized global platform that integrates next-generation data centers and infrastructure, heterogeneous compute serving, and advanced model services. We believe that the most effective way to build and scale AI is to own the stack from top to bottom.

At ai&, we empower small teams with the autonomy needed to tackle significant challenges. Our approach is to deconstruct large problems into manageable components and solve complex issues collaboratively. We seek highly motivated, mission-driven individuals who demonstrate strong personal agency. We value curiosity as the foundation of talent, and we are looking for people eager to develop alongside our evolving technology and expanding business.

We are actively hiring worldwide, with presence in Tokyo, SF, Austin, and Toronto. We are more than happy to meet exceptional talent where they are.

As our Data Center Strategy lead, you will define and drive how ai& expands its physical infrastructure footprint globally. This is a research, analysis, and strategy role with direct execution responsibility. You will evaluate modular container deployment, localized container strategies, colocation opportunities, and greenfield data center expansion — and you will build the frameworks that determine where, how, and when ai& builds.

You will work at the intersection of infrastructure strategy, real estate, power, regulatory environment, and economics. Every data center decision ai& makes has significant capital, operational, and strategic implications. You are the person who does the analysis, builds the business case, and works with leadership to make the right calls.

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  Modular Container Strategy Develop the strategy for ai&'s modular and containerized data center deployments. Evaluate deployment models, cost structures, lead times, and the operational trade-offs of modular versus traditional build approaches.

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  Localized Container Strategy Research and develop strategies for localized container deployments across target markets. Assess regulatory, power, connectivity, and operational requirements in each market and develop deployment models that work locally.

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  Data Center Expansion Planning Build the expansion roadmap for ai&'s physical infrastructure. Evaluate colocation partners, build-to-suit opportunities, and greenfield sites across target markets. Develop the criteria and frameworks that guide site selection decisions.

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  Market & Site Analysis Conduct deep analysis of potential data center markets — power availability and cost, connectivity, regulatory environment, labor markets, natural disaster risk, and political stability. Turn complex multi-variable analysis into clear, defensible recommendations.

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  Business Case Development Build the financial models and business cases that support data center investment decisions. Work closely with the Strategic Finance team to ensure expansion plans are fundable and financially sound.

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  Vendor & Partner Evaluation Evaluate colocation providers, construction partners, modular data center vendors, and power providers. Develop the criteria and processes that ensure ai& selects the right partners for each market.

• Data Center Strategy Experience Experience developing data center expansion strategy, site selection, or infrastructure planning for a hyperscaler, colocation provider, or large enterprise. You understand the full set of variables that determine where and how data centers get built.

• Modular Infrastructure Knowledge Familiarity with modular and containerized data center solutions, their deployment economics, and the use cases where they outperform traditional builds.

• Market Analysis Depth Strong analytical skills applied to infrastructure market assessment. You can evaluate a new market across power, connectivity, regulatory, and commercial dimensions and produce a clear, well-supported recommendation.

• Financial Modeling Ability to build and defend the financial models that support major infrastructure investment decisions.

• Japan and Asia Pacific Familiarity Understanding of the data center landscape in Japan and Asia Pacific, including local regulatory requirements, power market dynamics, and key colocation players.

• Great Team Spirit A mission-driven approach to strategy, valuing clear thinking, rigorous analysis, and collective success.