Senior AI Data Center Site AnalystPatmos

Job Summary


PATMOS HOSTING


Location: Flexible (U.S.-based, with travel as needed). In office options: Kansas City or Denver.

Type: Full-Time, Executive. Fast Track to VP or C level possible.

Comp: $200,000 to $240,000 base plus generous bonuses (exp total comp mid six figures / yr, 500-700k)

Reports to: CEO


Patmos is looking for a senior experienced professional tasked with vetting our next data-center sites for AI and GPU workloads. They must master several key areas to ensure the selected locations meet the unique demands of high-performance computing, scalability, and operational efficiency. 


The Patmos HPC Site Analyst is a seasoned professional who can vet data-center sites for AI and GPU workloads. This role combines technical expertise in infrastructure, a strategic understanding of AI-driven demands, and practical business insight. You ensure the chosen sites support cutting-edge computation capability while remaining cost-effective, reliable, and future-proof. Years of experience sharpen your ability to anticipate issues and optimize site selection for maximum operational success. You're equal parts "Type-A Network Killer", Construction / MEP manager, mini-CFO, and electrical engineer. You're a unicorn. But Patmos is a unicorn farm. 


This isn't a paper-pusher job. It's for someone who wants to put steel in the ground, power to the rack, and dollars to work — and do it with a company recently named one of Newsweek's TOP FIVE TECH COMPANIES to work for in 2025.


Start Date: ASAP

Responsibilities

Qualifications

1. Power Infrastructure Assessment  

  • Expertise in evaluating electrical capacity, reliability, and redundancy (e.g., access to high-voltage grids, backup generators, and UPS systems).  

  • Understanding of power usage effectiveness (PUE) and ability to estimate energy costs for GPU-intensive AI workloads.  

  • Knowledge of renewable energy options or local utility incentives to optimize long-term sustainability and cost.

  • Experience working with power companies and getting power agreements / commitments

2. Cooling and Thermal Management  

  • Deep understanding of cooling requirements for high-density GPU clusters, including liquid cooling, air conditioning, or hybrid systems.  

  • Ability to assess site-specific factors like ambient climate, humidity, and airflow to ensure efficient heat dissipation.  

  • Experience in calculating cooling costs and scalability for future expansion.

3. Network Connectivity and Latency  

  • Proficiency in evaluating fiber optic infrastructure, bandwidth availability, and proximity to internet exchanges for low-latency data transfer.  

  • Understanding of network redundancy and resilience to support continuous AI model training and inference.  

  • Ability to assess telecom provider options and negotiate service agreements.

4. Site Scalability and Space Planning  

  • Skill in analyzing physical space for current and future rack density, considering GPU server layouts and expansion potential.  

  • Knowledge of zoning laws, building codes, and land availability for constructing or retrofitting facilities.  

  • Experience in forecasting growth needs based on AI workload trends (e.g., larger models, more GPUs).

5. Risk Evaluation and Environmental Factors  

  • Ability to identify risks such as natural disasters (earthquakes, floods, hurricanes) that could disrupt operations.  

  • Expertise in assessing local environmental regulations, noise restrictions, or community impact concerns.  

  • Skill in incorporating contingency plans for power outages, network failures, or supply chain disruptions.

6. Cost Analysis and Budgeting  

  • Mastery of estimating total cost of ownership (TCO), including land acquisition, construction, energy, cooling, and maintenance.  

  • Ability to balance upfront capital expenditures (CapEx) with operational expenses (OpEx) for long-term viability.  

  • Experience in benchmarking costs against industry standards and alternative sites.

7. Stakeholder Collaboration and Communication  

  • High EQ, Strong interpersonal skills to work with engineers, architects, local governments, and utility providers during site evaluation.  

  • Ability to clearly articulate site pros and cons to decision-makers, aligning recommendations with business goals.  

  • Experience in managing negotiations for permits, tax incentives, or land deals.

8. Technical Standards and Compliance  

  • Knowledge of data-center standards (e.g., Uptime Institute Tiers, ASHRAE guidelines) and GPU-specific requirements (e.g., NVIDIA DGX compatibility).  

  • Familiarity with security protocols (physical and cyber) to protect sensitive AI data and intellectual property.  

  • A willingness to understand and problem solve issues with local regulations for energy usage, emissions, or data sovereignty.

9. Market and Location Intelligence  

  • Insight into regional advantages, such as proximity to talent pools, tech hubs, or research institutions for AI development.  

  • Awareness of the competitive landscape, including where other AI/GPU data centers are located and why.  

  • Ability to adapt site selection based on economic factors like tax breaks, labor costs, or energy price trends.

10. Attention to Detail and Problem-Solving  

  • Precision in reviewing site data (e.g., geotechnical surveys, utility reports) to avoid costly oversights.  

  • Creative problem-solving to address challenges like limited power capacity or suboptimal cooling through innovative solutions (e.g., modular designs, edge computing integration).  

Requirements
  • Cost Analysis and Budgeting 3 - 5 years
  • Risk Evaluation and Environmental Factors 3 - 5 years
  • Site Scalability and Space Planning 3 - 5 years
  • Network Connectivity and Latency 3 - 5 years
  • Power Infrastructure Assessment5 - 10 years
  • Data Center Cooling Systems5 - 8 years
  • Total Cost of Ownership (TCO) Analysis4 - 8 years
  • Strategic Problem-SolvingGood - Excellent
  • Stakeholder CommunicationGood - Excellent
Nice to Have
  • Market and Location Intelligence 3 - 5 years
  • Network Infrastructure Planning3 - 7 years
  • Data Center Standards & Compliance3 - 6 years
  • Risk AssessmentGood - Excellent
About Us

Patmos Hosting is an emerging Data Center operator who has become the leading free-speech hosting provider in the United States. Currently operating four tier III / IV Data Centers and serving thousands of happy clients, Patmos Hosting is the premier provider of censorship-resistant, high-density, and scalable technology solutions. We offer a range of services including cloud solutions, AI compute services, secure hosting options, and custom software solutions. Our mission is to provide freedom as a service, ensuring that our clients' digital presences are reliable, secure, scalable, and profitable. We ensure our clients freedom through verticalization of multiple services and owning our data centers down to the dirt. We pride ourselves on our values of freedom, humility, simplicity, and grit - with a strong focus on customer satisfaction and innovation. With our growing team of 60 mission-aligned employees, culture comes first.


Benefits:

  • Competitive salary and performance-based bonuses.
  • Comprehensive health, dental, and vision insurance.*
  • Retirement savings plan, ROTH IRA, life insurance. 
  • Family, marriage, baby bonuses offered.
  • Unlimited PTO and generous parental leave. 
  • Flexible working hours and remote work options.
  • Professional development opportunities.
  • A supportive and inclusive work environment.



*Patmos is a proud member of the Catholic Benefits Association offering employee benefits that promote the dignity of the human person, the dignity of work, and the common good.


Patmos is an equal opportunity employer. 

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