| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
CleanSpark | Georgia | $90k - $125k | |||
CleanSpark | Georgia | $113k - $163k | |||
Tether Operations Limited | Warsaw, Poland | $76k - $84k | |||
Coinme | Miami, FL, United States | $154k - $240k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Bitpanda | Remote | $88k - $120k | |||
Bitpanda | Remote | $90k - $112k | |||
Bitmex | Remote | $64k - $90k | |||
Taxbit | Remote | $185k - $235k | |||
Bitgo | Remote | $140k - $168k | |||
Bitgo | Remote | $240k - $280k | |||
Bitgo | Remote | $240k - $280k | |||
Minisoft Technologies LLC | Dallas, TX, United States | $98k - $100k | |||
CleanSpark | Washington, United States | $20k - $25k | |||
PURVIEW | San Francisco, CA, United States | $98k - $100k | |||
Tether Operations Limited | Barcelona, Spain | $81k - $92k |
Vice President of AI Data Center Design
Job Overview:
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The Vice President of AI Data Center Design will lead CleanSpark’s end-to-end data center design function, establishing the strategy, standards, and execution model required to scale AI and high-performance computing infrastructure across the organization. This role is responsible for defining and operationalizing CleanSpark’s design engineering vision, ensuring all infrastructure designs are scalable, standardized, cost-effective, and aligned with long-term business objectives.
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The Vice President of AI Data Center Design  will oversee multi-disciplinary design engineering teams and drive the development of integrated design systems across electrical, cooling, controls, and network infrastructure. This role will ensure that Basis of Design (BoD) frameworks, modular design principles, and Design for Manufacturing and Assembly (DfMA) standards are consistently applied to enable rapid, repeatable deployment of infrastructure at scale.
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As a key member of the leadership team, the VP will partner closely with Product, Power, Construction, Operations, and Finance to align design strategy with capital planning, operational performance, and growth initiatives. This role will play a critical part in enabling CleanSpark’s continued expansion by ensuring design excellence, speed to deployment, and long-term infrastructure reliability.
Job Duties:
Design Strategy & Organizational Leadership
- Define and lead the strategic vision for design engineering across CleanSpark’s data center infrastructure portfolio.
- Establish and evolve design standards, Basis of Design (BoD), and engineering frameworks to support scalable growth.
- Build and lead a high-performing, multi-disciplinary design engineering organization, including hiring, development, and succession planning.
Standardization & Scalable Infrastructure
- Drive adoption of modular design principles and Design for Manufacturing and Assembly (DfMA) across all infrastructure programs.
- Ensure consistent application of standardized design systems to enable repeatable, cost-effective deployment.
- Balance innovation with standardization to optimize performance, speed, and cost.
Multi-Disciplinary Systems Integration
- Oversee integration across electrical, cooling, controls, and network systems to ensure cohesive and optimized infrastructure performance.
- Ensure design solutions are aligned with operational requirements, reliability standards, and long-term scalability.
Design Execution Oversight
- Provide executive oversight of design execution across all programs, regions, and projects.
- Ensure delivery of high-quality, coordinated, and construction-ready design packages aligned with timelines and business priorities.
- Establish governance, processes, and metrics to drive accountability and performance across the design function.
Cross-Functional Alignment & Business Integration
- Partner with Product, Construction, Operations, Power, and Finance to align design strategy with capital planning, project delivery, and operational performance.
- Ensure seamless transition from design to construction and operations, minimizing risk and maximizing efficiency.
Innovation & Continuous Improvement
- Identify and implement opportunities to improve design efficiency, reduce costs, and enhance infrastructure performance.
- Drive adoption of new technologies, tools, and methodologies to support CleanSpark’s evolving infrastructure needs.
Risk Compliance & Governance
- Ensure all designs comply with applicable codes, regulations, and internal standards.
- Establish and maintain design governance processes to manage risk, ensure quality, and support audit readiness.
Executive Leadership & Stakeholder Engagement
- Serve as a key advisor to executive leadership on infrastructure design strategy and investment decisions.
- Communicate design strategy, performance, and risks to senior stakeholders and executive leadership.
Additional Responsibilities
- Support strategic initiatives related to expansion, acquisitions, and new site development.
- Lead special projects and additional responsibilities as assigned.
This role requires executive presence, strategic thinking, and the ability to lead complex, high-impact initiatives in a fast-paced, growth-oriented environment.
Qualifications:
- This role requires up to 50% travel.
- Candidates must be based within one hour of a major U.S. airport to support travel requirements
- Bachelor’s degree in engineering, Architecture, or related technical field (master’s degree preferred).
- 12–15+ years of progressive experience in engineering design, with significant leadership experience in data centers, mission-critical infrastructure, or industrial environments.
- Proven track record of leading large-scale, multi-disciplinary design engineering organizations.
- Deep expertise in MEP systems and integrated infrastructure design.
- Experience driving design standardization, modular infrastructure, and scalable deployment models.
- Demonstrated ability to influence cross-functional stakeholders and align technical strategy with business objectives.
- Strong leadership, organizational, and decision-making capabilities
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Preferred Qualifications
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- Experience in AI, high-performance computing (HPC), or hyperscale data center environments.
- Familiarity with advanced cooling technologies and high-density compute infrastructure.
- Professional Engineering (PE) license or equivalent certification.
- Experience supporting global or multi-region infrastructure programs.
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