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For Companies At a Glance
- Tasks: Lead the development and deployment of AI-ready data centers globally.
- Company: Join a cutting-edge tech firm focused on AI infrastructure.
- Benefits: Competitive daily rate, travel expenses covered, and potential contract extension.
- Why this job: Be at the forefront of AI technology and make a global impact.
- Qualifications: Experience as a CTO or Senior Technical Lead in data center deployment required.
- Other info: Willingness to travel internationally is essential.
The predicted salary is between 72000 - 108000 £ per year.
Location: London with global travel
Contract Type: 6 month – possible extension thereafter
Start Date: Immediate
Compensation: Competitive daily rate + travel expenses
Reporting to: CEO / Board
Overview
We are seeking an experienced and dynamic Contract Chief Technology Officer (CTO) to lead the rapid development and deployment of AI-ready data centers across the globe. This role is critical in ensuring technical leadership, vendor coordination, and strategic execution of hyperscale AI infrastructure projects.
This is a contract-based leadership role ideal for a hands-on, execution-driven CTO who thrives in fast-paced environments and has deep experience in data center construction, AI infrastructure (GPU pods), and working with Dell and NVIDIA technologies.
Key Responsibilities
- End-to-End Technical Oversight: Lead the architecture, buildout, and commissioning of multiple data centers optimized for AI workloads.
- AI Pod Infrastructure Delivery: Drive the deployment of AI GPU pods; ensure readiness for NVIDIA-led commissioning; manage Dell integration for hardware infrastructure.
- Vendor and Partner Coordination: Act as the primary technical liaison with Dell (build partner) and NVIDIA (commissioning partner) to ensure timely, cost-effective deployment.
- Site Leadership & Rollout Execution: Oversee simultaneous site deployments across globe; manage on-the-ground technical teams and contractors.
- Rapid Scale-Up Strategy: Develop and implement a roadmap to launch a number of new sites, balancing speed, scalability, and resilience.
- Compliance and Standards: Ensure all deployments meet local regulatory requirements, sustainability standards, and operational best practices.
- Technical Budget Management: Own technical budgeting and capital expenditure tracking, optimizing vendor procurement and infrastructure costs.
Key Requirements
- Proven experience as a CTO or Senior Technical Lead in data center deployment and hyperscale AI infrastructure.
- Direct experience with Dell technologies for data center build-outs and familiarity with NVIDIA GPU server platforms and commissioning protocols.
- Strong track record in multi-site international deployments, ideally in EMEA regions.
- Deep understanding of AI/ML workloads, power and cooling design for high-density compute environments, and Tier III+ data center standards.
- Comfortable operating in a contract-based role with a focus on delivery and execution under tight timelines.
- Willingness and ability to travel internationally.
Nice to Have
- Previous work on AI pod architecture (e.g., DGX clusters, NVLink configurations, etc.)
Head of Software Technology employer: WNTD
Contact Detail:
WNTD Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Software Technology
✨Tip Number 1
Network with professionals in the AI and data centre sectors. Attend industry conferences or webinars where you can meet potential colleagues or partners from Dell and NVIDIA, as these connections could provide valuable insights and recommendations.
✨Tip Number 2
Showcase your hands-on experience with AI infrastructure projects. Prepare to discuss specific examples of past deployments, particularly those involving GPU pods and multi-site international rollouts, as this will demonstrate your capability to lead similar initiatives.
✨Tip Number 3
Familiarise yourself with the latest trends and technologies in AI data centres. Being knowledgeable about advancements in cooling design, power management, and Tier III+ standards will help you stand out as a candidate who is not only experienced but also forward-thinking.
✨Tip Number 4
Prepare for discussions around technical budgeting and vendor management. Be ready to explain how you've optimised costs in previous roles, as this is a crucial aspect of the position and will show your strategic thinking and financial acumen.
We think you need these skills to ace Head of Software Technology
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data center deployment and AI infrastructure. Emphasise your familiarity with Dell and NVIDIA technologies, as well as any relevant international project management experience.
Craft a Compelling Cover Letter: Write a cover letter that showcases your leadership skills and hands-on experience in fast-paced environments. Mention specific projects where you successfully managed multi-site deployments and how you ensured compliance with local regulations.
Highlight Technical Expertise: In your application, clearly outline your technical expertise in AI/ML workloads, power and cooling design, and Tier III+ data center standards. This will demonstrate your capability to lead the architecture and buildout of AI-ready data centers.
Showcase Your Strategic Vision: Discuss your approach to developing rapid scale-up strategies for new site launches. Include examples of how you've balanced speed, scalability, and resilience in previous roles, which is crucial for this position.
How to prepare for a job interview at WNTD
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with data center deployment and AI infrastructure. Highlight specific projects where you've successfully led the architecture and buildout of AI-ready data centres, especially those involving Dell and NVIDIA technologies.
✨Demonstrate Leadership Skills
As a potential CTO, it's crucial to exhibit strong leadership capabilities. Share examples of how you've managed technical teams and coordinated with vendors in previous roles, particularly in fast-paced environments with multiple site deployments.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in past projects, such as managing tight timelines or ensuring compliance with local regulations, and be ready to explain how you overcame them.
✨Discuss Your Vision for AI Infrastructure
Articulate your strategic vision for deploying AI infrastructure on a global scale. Be ready to discuss how you would balance speed, scalability, and resilience in your approach, and how you plan to implement a roadmap for rapid scale-up.
