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Chief Executive Officer (San Jose)

Chief Executive Officer (San Jose)

Christian & TimbersSan Jose, CA, United States
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About the Company

The company develops and operates high-density data centers engineered for compute-intensive workloads. Initially focused on cryptocurrency mining , it has evolved into a leading provider of AI training and inference infrastructure , supporting advanced model development, large-scale simulations, and distributed compute services.

Its facilities combine liquid-cooled GPU clusters, high-efficiency power systems, and advanced network fabrics optimized for large language models, scientific computing, and autonomous systems. Through vertical integration in energy procurement, cooling technology, and hardware configuration, the company achieves exceptional performance per kilowatt and operational reliability across its global footprint.

The companys mission is to provide sustainable, high-efficiency infrastructure for the next generation of intelligent computation.

The Opportunity : Chief Executive Officer

The Board of Directors is seeking a CEO to guide the companys expansion from a high-performance compute operator into a global infrastructure provider for AI and large-scale digital industries. The CEO will define corporate strategy, oversee operational scaling, and establish long-term partnerships with technology firms, energy providers, and institutional investors.

The position requires an executive who combines technical fluency in compute infrastructure with strategic command of capital markets, operational logistics, and large-scale systems governance. The CEO will lead a multidisciplinary organization that spans engineering, energy, and artificial intelligence.

Strategic Priorities

1. Infrastructure Expansion and Capital Efficiency

  • Direct the global buildout of GPU and accelerator-based data centers with a focus on throughput, thermal efficiency, and uptime reliability.
  • Oversee site selection, procurement, and energy contracts to sustain operational margin and performance scalability.
  • Establish capital models that link power availability, compute density, and return on investment across regional operations.

2. Transition to AI Compute Services

  • Expand beyond mining to position the company as a global AI compute partner for research organizations and enterprise clients.
  • Develop frameworks for hosting, training, and fine-tuning large AI models with predictable performance and security standards.
  • Collaborate with semiconductor and software partners to optimize training pipelines and inference cost structures.

    • 3. Strategic Partnerships and Market Positioning

  • Build institutional partnerships with hyperscalers, energy producers, and AI research groups.
  • Secure long-term supply agreements for GPUs and accelerators, ensuring sustained capacity during market fluctuations.
  • Represent the company in international policy discussions related to data center sustainability and digital infrastructure resilience.

    • 4. Organizational Leadership

  • Align engineering, finance, and operations under unified performance metrics tied to compute utilization and return on capital.
  • Recruit and develop senior leaders capable of managing global expansion and technical innovation simultaneously.
  • Strengthen corporate governance and transparency to align with public and investor expectations.

    • Candidate Profile

  • Fifteen or more years of leadership experience in data centers, high-performance computing, or large-scale digital infrastructure .
  • Proven track record of guiding organizations through industrial scaling, energy management, and capital-intensive technology operations.
  • Deep understanding of GPU clusters, distributed computing, and energy-optimized infrastructure .
  • Demonstrated experience with large project finance, institutional capital formation, and cross-border operational management.
  • Strategic thinker with the ability to connect technical innovation with financial discipline and global sustainability objectives.
  • Familiarity with both blockchain compute architectures and AI model training environments is strongly preferred.

    • Compensation and Structure

  • Performance Incentive : Up to 150 percent of base salary, linked to ARR, compute utilization, and capital efficiency targets
  • Equity Participation : 3 to 6 percent fully diluted, aligned with enterprise value growth
  • Comprehensive executive benefits, energy travel coverage, and global relocation support
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