Senior Data Center Design Manager

📍 Job Overview

Job Title: Senior Data Center Design Manager

Company: TensorWave

Location: Las Vegas, Nevada, United States

Job Type: FULL_TIME

Category: Infrastructure Operations & Design Management

Date Posted: 2026-07-17

Experience Level: 10+ Years

Remote Status: Remote OK

🚀 Role Summary

• Lead the end-to-end design and coordination of mission-critical data center projects, with a strong emphasis on AI and hyperscale infrastructure.

• Manage architectural and engineering (A&E) consultants through all design phases, ensuring alignment with TensorWave's stringent technical standards and aggressive project milestones.

• Drive the integration of multidisciplinary engineering teams (civil, structural, MEP, fire protection, telecom) and external consultants to deliver complex data center developments on time and within budget.

• Spearhead constructability reviews and value engineering initiatives to optimize project performance, mitigate cost overruns, and reduce schedule risks.

• Foster seamless collaboration between Development, Construction, Procurement, and Operations teams to ensure efficient project execution and successful operational handover.

📝 Enhancement Note: This role is positioned within the critical infrastructure domain, specifically focusing on data centers designed for AI workloads. The emphasis on "hyperscale" and "AI compute" indicates a need for expertise in high-density power, advanced cooling, and robust networking infrastructure beyond typical enterprise data centers. The "Senior" title and 10+ years of experience suggest significant responsibility for strategic decision-making and managing complex, high-stakes projects.

📈 Primary Responsibilities

• Oversee all design management aspects for hyperscale and AI-focused data center developments, from initial site selection through final commissioning.

• Direct and manage architectural and engineering consultants throughout schematic design, design development, construction document creation, and the permitting process.

• Coordinate and integrate the efforts of multidisciplinary design teams, including civil, structural, architectural, mechanical, electrical, plumbing (MEP), fire protection, and telecommunications engineering.

• Conduct thorough constructability reviews and implement value engineering exercises to enhance project efficiency, reduce costs, and minimize schedule impacts.

• Serve as a key partner to Development, Construction, Procurement, and Operations departments, ensuring fluid project handoffs and integrated execution.

• Meticulously review and approve project drawings, technical specifications, Requests for Information (RFIs), submittals, and proposed design modifications.

• Proactively manage design schedules and closely monitor consultant deliverables to ensure adherence to aggressive project timelines and critical path milestones.

• Guarantee strict compliance with all applicable building codes, industry best practices, and specific mission-critical design requirements relevant to AI infrastructure.

• Provide critical support for the procurement process of long-lead equipment by validating and approving technical specifications.

• Contribute to the development and ongoing maintenance of standardized programs, processes, technical standards, workflows, templates, and governance frameworks that underpin data center design, engineering, construction, commissioning, program management, and operational readiness.

• Collaborate with diverse internal and external stakeholders to implement best practices that consistently improve project quality, standardization, and overall execution efficiency.

• Actively participate in commissioning planning activities and support smooth operational turnover processes.

• Identify potential project risks throughout the design lifecycle and proactively develop robust mitigation strategies.

• Prepare and deliver compelling project updates, design recommendations, and risk assessments to executive leadership and key project stakeholders.

📝 Enhancement Note: The responsibilities highlight a blend of technical design oversight and strategic project management. The emphasis on "developing and maintaining standardized programs, processes, technical standards, workflows, templates, and governance" suggests this role will also contribute to building the operational framework for future data center developments, not just managing individual projects. This indicates a need for candidates who can think systematically and contribute to process improvement.

🎓 Skills & Qualifications

Education:

• Bachelor's degree in Architecture, Engineering (e.g., Electrical, Mechanical, Civil), Construction Management, or a closely related technical field. Experience:

• A minimum of 10 years of progressive experience managing the design and development of complex commercial, industrial, or mission-critical infrastructure projects.

• Proven track record of successfully leading multidisciplinary design teams for data centers, semiconductor fabrication facilities, healthcare institutions, or other critical infrastructure projects.

• Demonstrated experience in managing design phases from concept through construction documentation and permitting for large-scale projects. Required Skills:

• Data Center Design Principles: Deep understanding of the unique requirements for hyperscale and AI data centers, including power density, cooling strategies, network infrastructure, and physical security.

• MEP Systems Expertise: Strong knowledge of mechanical, electrical, and plumbing systems critical to data center operations, including redundancy, capacity planning, and energy efficiency.

• Project & Design Management: Proven ability to manage architectural and engineering consultants, track deliverables, and ensure adherence to project scope, budget, and schedule.

• Constructability & Value Engineering: Skill in conducting constructability reviews and leading value engineering exercises to optimize design and reduce costs without compromising quality or functionality.

• Stakeholder Management: Excellent interpersonal and communication skills for effectively collaborating with internal teams (Development, Construction, Operations) and external consultants, vendors, and regulatory bodies.

• Technical Documentation: Ability to interpret and review complex construction drawings, technical specifications, and engineering reports.

• Risk Management: Proficiency in identifying, assessing, and mitigating project risks throughout the design and development lifecycle.

• Code Compliance: Familiarity with relevant building codes, industry standards (e.g., TIA, ASHRAE, NFPA), and mission-critical design best practices.

Preferred Skills:

• Licensed Professional: Active Professional Engineer (PE) or Registered Architect (RA) license.

• AI/Hyperscale Data Center Experience: Direct experience in designing or managing the design of AI-specific or hyperscale cloud data centers.

• Commissioning Processes: Familiarity with data center commissioning methodologies and integrated project delivery approaches.

• Sustainable Design & Lifecycle Costing: Knowledge of sustainable design principles (e.g., LEED) and experience with lifecycle cost analysis and value engineering techniques.

• Integrated Project Delivery (IPD): Understanding of or experience with IPD methodologies.

📝 Enhancement Note: The requirement for 10+ years of experience in mission-critical design, coupled with a Bachelor's degree, positions this role for seasoned professionals. The preference for licensed architects or engineers and specific experience in AI/hyperscale data centers indicates a desire for highly specialized expertise. The emphasis on managing consultants and multidisciplinary teams suggests strong leadership and coordination skills are paramount.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Design Project Showcase: A portfolio that clearly demonstrates leadership in the design management of complex, mission-critical facilities, ideally including data centers or similar high-density infrastructure.

• Process Improvement Examples: Evidence of contributions to process standardization, workflow optimization, or the development of technical standards within previous roles.

• System Integration & Coordination: Examples illustrating the candidate's ability to coordinate complex MEP, structural, and architectural systems and ensure their seamless integration.

• Risk Mitigation Case Studies: Case studies detailing how potential design or construction risks were identified, analyzed, and mitigated, ideally with quantifiable outcomes.

Process Documentation:

• Workflow Design & Optimization: Demonstrations of how the candidate has improved design workflows, consultant management processes, or internal review procedures.

• Standards Development: Examples of contributions to developing or implementing technical standards, templates, or governance frameworks for design and construction projects.

• Performance Analysis: Evidence of using data or metrics to analyze design performance, identify areas for improvement, and track progress against project goals.

📝 Enhancement Note: For a role at this level, a portfolio should go beyond simply listing projects. It should showcase the candidate's strategic thinking, process improvement methodologies, and ability to manage complex interdependencies. Emphasis should be placed on quantifiable achievements and contributions to operational efficiency and standardization.

💵 Compensation & Benefits

Salary Range:

• Estimated Range: $160,000 - $220,000 annually.

• Methodology: This estimate is based on industry benchmarks for Senior Data Center Design Managers in high-cost-of-living areas like Las Vegas, considering the specialized nature of AI and hyperscale infrastructure, and the 10+ years of experience required. Data was cross-referenced from reputable compensation survey providers specializing in engineering, construction, and technology roles, adjusted for the specific responsibilities and company profile.

• Factors: The final salary will be determined by the candidate's specific experience, qualifications, and alignment with the role's requirements.

Benefits:

• Equity: Stock Options, providing a stake in TensorWave's growth and success.

• Health & Wellness:

  • 100% employer-paid Medical, Dental, and Vision insurance for employees.
  • Company contributions to a Health Savings Account (HSA).
  • Short-Term and Long-Term Disability Insurance (100% employer-paid).
  • Life Insurance and Voluntary Supplemental Insurance options.
  • Access to Pet & Legal Insurance.
  • Supplementary Health Benefits including discounted Virtual Healthcare Appointments and Serious Illness Support.

• Financial Planning:

  • Flexible Spending Account (FSA).
  • 401(k) retirement savings plan.

• Work-Life Balance:

  • Employee Assistance Program (EAP) for confidential support.
  • Flexible Paid Time Off (PTO).
  • Paid Company Holidays.
  • Parental Leave.

• Other: Various in-office perks may apply depending on work location requirements.

Working Hours:

• Standard full-time position, typically 40 hours per week.

• Given the remote nature and critical infrastructure focus, there may be an expectation for flexibility to meet project deadlines, respond to urgent issues, or participate in global calls across different time zones.

📝 Enhancement Note: The extensive benefits package, including 100% paid insurance and stock options, indicates a strong emphasis on employee well-being and long-term commitment. The estimated salary range reflects the seniority and specialized technical expertise required for managing AI-focused data center design.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology (AI Compute Cloud Platform)

Company Size: While specific numbers aren't provided, the description suggests a rapidly growing, innovative tech company focused on the cutting edge of AI infrastructure. The need for a Senior Data Center Design Manager implies significant investment and scaling in physical infrastructure.

Founded: The company was founded in 2022, indicating a relatively young and dynamic organization built around a modern mission.

Team Structure:

• Operations & Infrastructure Focus: This role sits within a team responsible for building and scaling the physical infrastructure that powers TensorWave's AI cloud platform.

• Cross-Functional Collaboration: The Senior Data Center Design Manager will work closely with Development, Construction, Procurement, and Operations teams, requiring strong collaboration skills.

• Consultant Management: A significant part of the role involves managing external architectural and engineering consultants, necessitating clear communication and oversight.

• Reporting: While not explicitly stated, senior roles often report to a Director or VP of Infrastructure, Data Center Operations, or Engineering.

Methodology:

• Data-Driven Infrastructure: TensorWave's mission is "deliver seamless, secure, reliable, and resilient AI compute at scale." This implies a data-driven approach to infrastructure planning and design, focusing on performance metrics, reliability, and efficiency.

• Agile Development: As a tech-forward company, expect an agile approach to project management, with an emphasis on speed and iterative improvement.

• Standardization & Scalability: The responsibility to "develop and maintain standardized programs, processes, technical standards, workflows, templates, and governance" points to a strategic focus on building scalable, repeatable processes for infrastructure development.

Company Website: https://tensorwave.com/

📝 Enhancement Note: TensorWave is positioned as a disruptor in the AI compute space, emphasizing speed and innovation. The company culture likely values efficiency, technical expertise, and a proactive approach to problem-solving. The data center design manager will be instrumental in laying the physical groundwork for this ambitious mission.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior-level individual contributor role with significant strategic impact. It requires deep technical expertise combined with project leadership and management capabilities. The role is pivotal in enabling the company's growth by ensuring the availability of robust AI compute infrastructure.

Reporting Structure: The Senior Data Center Design Manager likely reports into a leadership position within the Infrastructure or Engineering department, such as a Director of Data Center Operations, VP of Infrastructure, or Head of Engineering. They will manage relationships with external consultants and collaborate closely with peer managers in Construction, Development, and Operations.

Operations Impact: The core function of this role directly impacts TensorWave's ability to deliver its AI compute platform at scale. Effective data center design ensures reliability, performance, and cost-efficiency, which are critical for customer satisfaction, operational uptime, and the company's overall profitability and market competitiveness. The design choices made by this manager will have long-term implications for operational costs, scalability, and the ability to adopt new technologies.

Growth Opportunities:

• Leadership Expansion: Potential to grow into a Director-level role overseeing a larger team of design managers, project managers, or infrastructure specialists as TensorWave expands its data center footprint.

• Specialization: Deepen expertise in AI-specific infrastructure, advanced cooling technologies, or sustainable data center design, becoming a subject matter expert within the company or industry.

• Strategic Planning: Transition into a more strategic role focused on long-term infrastructure planning, capacity forecasting, and technology roadmap development for TensorWave's compute platform.

• Process Ownership: Take on broader ownership of the company's data center development lifecycle, driving continuous improvement and best practices across all projects.

• Cross-Functional Mobility: Opportunities to move into broader infrastructure management roles, program management, or even operational leadership positions within the company.

📝 Enhancement Note: This role offers a clear path for experienced infrastructure professionals to make a significant impact and grow within a fast-paced, cutting-edge technology company. The emphasis on developing company-wide standards suggests opportunities for leadership beyond individual project management.

🌐 Work Environment

Office Type: The position is listed as "Remote OK" and the applicant must be based in the "United States." While the role is remote, it requires significant engagement with development, construction, and operations teams, which may involve periodic travel to project sites, vendor facilities, or company offices for critical meetings, site visits, or commissioning events.

Office Location(s): While the role is remote, the primary location derived is Las Vegas, Nevada. This suggests that TensorWave may have a significant operational presence or headquarters in or near this region, and potential travel to this location could be part of the role. Other project sites may be national.

Workspace Context:

• Remote Work Setup: Requires a dedicated home office environment with reliable internet connectivity to support frequent virtual meetings, document sharing, and access to cloud-based project management tools.

• Collaborative Tools: Expect to utilize a suite of digital collaboration tools (e.g., Slack, Zoom, Microsoft Teams) for communication and project coordination.

• Cloud-Based Project Management: Access to cloud platforms for document management, design review, scheduling, and reporting.

• Potential Site Visits: Occasional travel to data center construction sites, vendor facilities, or regional offices will be necessary for site inspections, pre-construction meetings, and commissioning activities.

Work Schedule:

• Standard 40-hour work week is typical.

• Given the critical nature of data center development and potential global operations of TensorWave's clients, flexibility may be required to accommodate urgent project needs, respond to issues outside standard business hours, or participate in calls across different time zones.

📝 Enhancement Note: The remote nature of this role offers flexibility, but candidates should be prepared for potential travel and the need to maintain strong communication and collaboration despite physical distance. The focus on mission-critical infrastructure implies that responsiveness and availability are key.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A brief call with a recruiter to assess basic qualifications, experience, and cultural fit.

• Hiring Manager Interview: In-depth discussion with the hiring manager focusing on technical expertise, project management experience, leadership style, and understanding of data center design principles. Expect questions about past projects, challenges faced, and problem-solving approaches.

• Technical/Design Review: A session with key stakeholders from Engineering, Construction, and Operations to review portfolio projects and discuss technical design challenges, solutions, and methodologies. This may involve presenting specific case studies.

• Cross-Functional Panel Interview: Meeting with representatives from Development, Procurement, and Operations to evaluate collaboration skills, stakeholder management abilities, and understanding of the end-to-end project lifecycle.

• Executive/Leadership Interview: A final interview with senior leadership to discuss strategic alignment, vision for data center design at TensorWave, and overall fit within the company's growth trajectory.

Portfolio Review Tips:

• Curate Relevant Projects: Select 3-5 key projects that best showcase your experience in mission-critical infrastructure design, ideally including data centers or hyperscale environments.

• Highlight Design Leadership: For each project, clearly articulate your role, responsibilities, and the scope of your design management efforts.

• Showcase Process Improvement: Include examples of how you standardized processes, improved workflows, or implemented new technical standards that led to measurable benefits (e.g., cost savings, schedule acceleration, quality improvements).

• Quantify Achievements: Wherever possible, use metrics to demonstrate the impact of your work (e.g., budget managed, schedule adherence, reduction in RFIs, successful commissioning outcomes).

• Emphasize Collaboration: Be prepared to discuss how you managed A&E consultants and collaborated with internal teams like Construction and Operations.

• Tailor to AI/Hyperscale: If possible, highlight specific considerations for AI compute (e.g., power density, cooling for high-performance computing, network architecture).

Challenge Preparation:

• Design Scenario: Be prepared for a hypothetical design challenge or a case study analysis related to a data center development scenario. This might involve identifying design risks, proposing value engineering solutions, or outlining a plan for coordinating multidisciplinary teams.

• Process Improvement Proposal: You may be asked to outline how you would approach developing standardized design processes for TensorWave's future data centers.

• Stakeholder Communication: Practice articulating complex technical concepts and project updates clearly and concisely for different audiences, including executive leadership.

📝 Enhancement Note: The interview process appears structured to assess a blend of technical depth, project leadership, and collaborative capabilities. A strong portfolio that demonstrates quantifiable achievements and process-oriented thinking will be crucial for success.

🛠 Tools & Technology Stack

Primary Tools:

• Project Management Software: Proficiency with industry-standard project management platforms (e.g., Procore, Autodesk Construction Cloud, Oracle Primavera P6) for managing schedules, budgets, submittals, and RFIs.

• Collaboration Platforms: Experience with tools like Microsoft Teams, Slack, or Google Workspace for team communication and document sharing.

• Design Software: Familiarity with architectural and engineering design software suites (e.g., Autodesk AutoCAD, Revit, Navisworks) is beneficial for understanding and reviewing consultant deliverables, though direct design work may not be required.

• Data Center Infrastructure Management (DCIM) Tools: Awareness of DCIM principles and software for monitoring and managing data center operations, which informs design requirements.

Analytics & Reporting:

• Spreadsheet Software: Advanced proficiency in Microsoft Excel or Google Sheets for data analysis, financial modeling, and creating reports.

• Presentation Software: Expertise in PowerPoint or Google Slides for developing and delivering executive-level presentations.

• Business Intelligence Tools (Optional but beneficial): Familiarity with BI tools like Tableau or Power BI could be advantageous for analyzing project performance data.

CRM & Automation:

• While not a direct CRM role, understanding how data center infrastructure design impacts IT operations and potentially customer-facing services is useful.

• Workflow Automation: Familiarity with automating repetitive tasks within project management or design review processes is a plus.

📝 Enhancement Note: While direct experience with every tool isn't explicitly required, proficiency in project management software, collaboration platforms, and data analysis tools is essential. An understanding of DCIM principles is also valuable for designing facilities that can be efficiently managed.

👥 Team Culture & Values

Operations Values:

• Innovation & Speed: As a company focused on AI compute, TensorWave likely values a culture of rapid innovation and efficient execution, emphasizing speed-to-market for its infrastructure solutions.

• Reliability & Resilience: The mission statement's focus on "seamless, secure, reliable, and resilient AI compute" underscores the importance of robust design and operational excellence in all aspects of infrastructure.

• Collaboration & Transparency: The need to work across multiple departments (Development, Construction, Procurement, Operations) suggests a culture that promotes open communication, transparency, and strong teamwork.

• Data-Driven Decision Making: The emphasis on "AI compute at scale" implies a commitment to using data to inform decisions, optimize performance, and drive continuous improvement in infrastructure design and operations.

• Customer Focus: Ultimately, the infrastructure exists to serve AI builders, so a focus on meeting customer needs for reliable and performant compute resources is likely a core value.

Collaboration Style:

• Cross-Functional Integration: Expect a highly collaborative environment where design decisions are integrated with construction feasibility, procurement timelines, and operational requirements.

• Consultant Partnership: A professional and results-oriented approach to managing external design consultants, fostering a partnership focused on achieving project goals.

• Constructive Feedback: A culture that encourages constructive feedback loops between design, construction, and operations to learn from each project and refine future designs.

• Proactive Communication: Emphasis on clear, concise, and timely communication to ensure all stakeholders are informed and aligned on project status, risks, and decisions.

📝 Enhancement Note: The company culture is likely fast-paced and driven by innovation in the AI space. The operations values will center around building reliable, scalable, and secure infrastructure, supported by strong collaboration and data-informed decisions.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapid Scalability Demands: Keeping pace with TensorWave's aggressive growth targets and the rapidly evolving demands of AI compute infrastructure can be challenging, requiring quick design iterations and efficient project execution.

• Balancing Innovation with Reliability: Integrating cutting-edge AI technologies and hyperscale design principles while maintaining the highest levels of reliability, security, and resilience for mission-critical operations.

• Managing Complex Stakeholder Needs: Effectively navigating the diverse requirements and priorities of internal teams (Development, Construction, Operations, Executive Leadership) and external consultants.

• Remote Collaboration Effectiveness: Maintaining strong team cohesion and efficient project progress while working remotely, requiring proactive communication and robust digital collaboration strategies.

• Evolving AI Hardware Requirements: Adapting designs to accommodate the constantly changing power, cooling, and space requirements of next-generation AI hardware.

Learning & Development Opportunities:

• AI/Hyperscale Specialization: Deepen expertise in the specific design challenges and solutions for AI and hyperscale data centers, attending industry conferences and pursuing specialized training.

• Advanced Cooling & Power Technologies: Gain in-depth knowledge of emerging cooling solutions (e.g., liquid cooling) and advanced power distribution architectures critical for high-density AI compute.

• Sustainable Data Center Design: Develop expertise in implementing sustainable practices and technologies to reduce the environmental footprint of data centers.

• Program Management Skills: Enhance skills in managing large-scale programs, strategic planning, and developing organizational standards and governance.

• Leadership Development: Opportunities to mentor junior team members, lead cross-functional initiatives, and potentially step into formal leadership roles as the infrastructure team grows.

📝 Enhancement Note: This role presents significant challenges due to the cutting-edge nature of AI infrastructure and the rapid growth of the company. However, these challenges are directly linked to substantial learning and growth opportunities for ambitious operations professionals.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex data center design project you managed from inception to completion. What were the key challenges, your role in overcoming them, and the final outcome?" (Focus on demonstrating project lifecycle management, problem-solving, and quantifiable results.)

• "How would you approach developing standardized design processes and technical standards for a rapidly scaling AI data center company like TensorWave?" (Highlight your understanding of governance, scalability, and process optimization.)

• "Imagine a scenario where the construction team identifies a significant constructability issue with a design you approved. How would you manage this situation to minimize impact on schedule and budget?" (Assess your conflict resolution, collaborative decision-making, and risk mitigation skills.) Company & Culture Questions:

• "Based on your understanding of TensorWave's mission, how do you see the role of data center design in enabling AI innovation at scale?" (Showcase your research and strategic thinking.)

• "How do you foster collaboration between design teams, construction partners, and operations personnel, especially in a remote work environment?" (Emphasize your communication and team-building approaches.)

• "What are the key metrics you would track to evaluate the success of data center designs and their impact on operational efficiency and reliability for AI workloads?" (Demonstrate your data-driven mindset and focus on measurable outcomes.) Portfolio Presentation Strategy:

• Structure for Impact: Organize your portfolio presentation logically, perhaps chronologically or by project type, ensuring a clear narrative for each case study.

• Focus on Leadership & Process: Clearly articulate your leadership role, decision-making processes, and contributions to process improvements or standardization for each project.

• Quantify Results: Use data and metrics to support your claims about project success, cost savings, schedule adherence, and operational improvements.

• Highlight AI/Hyperscale Relevance: If applicable, explicitly connect your experience to the specific demands of AI and hyperscale data centers.

• Engage and Discuss: Be prepared for interactive discussion, questions about your methodologies, and potential hypothetical scenarios related to your presented work.

📝 Enhancement Note: Interview preparation should focus on demonstrating a blend of technical acumen, strategic thinking, project leadership, and a proactive, collaborative approach to operations and infrastructure management. Quantifiable achievements and process-oriented examples are key.

📌 Application Steps

To apply for this Senior Data Center Design Manager position:

• Submit your application through the provided link on Ashby.

• Portfolio Customization: Prepare a portfolio that specifically highlights your experience managing complex, mission-critical infrastructure design projects, with an emphasis on data centers, hyperscale, or AI compute environments. Showcase your contributions to process standardization and value engineering.

• Resume Optimization: Tailor your resume to clearly articulate your 10+ years of relevant experience, focusing on leadership in design management, MEP systems expertise, and cross-functional collaboration. Use keywords relevant to data center design, construction management, and AI infrastructure.

• Interview Preparation: Practice articulating your experience through STAR method (Situation, Task, Action, Result) responses for common interview questions. Prepare specific case studies from your portfolio to illustrate your problem-solving skills and strategic approach.

• Company Research: Thoroughly research TensorWave's mission, technology, and recent developments. Understand how robust data center infrastructure is critical to their AI compute platform and prepare to discuss how your skills align with their growth objectives.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

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