Chief Technology Officer

Company Overview

We are a high-growth AI infrastructure startup building an enterprise-ready, AI-powered compute marketplace. The platform aggregates and orchestrates GPU capacity across a large and growing network of next-generation cloud providers, enabling enterprises to access scalable, reliable compute for advanced AI workloads.

The business has achieved significant early traction, including partnerships with dozens of infrastructure providers, a six-figure GPU estate already live, and a multi-billion-dollar commercial pipeline. The founding team has a strong track record of building and scaling market-defining platforms, raising substantial institutional capital, and executing enterprise go-to-market strategies.

This is a rare opportunity to define the technical foundation of a hyperscale AI platform from an early but proven starting point.

The Role

We are seeking a hands-on, deeply technical CTO to own the architecture, development, and scaling of the platform end-to-end.

This is not a purely strategic or people-only role. The successful candidate will be comfortable rolling up their sleeves, writing code, making architectural decisions, and building a world-class engineering organisation over time.

The CTO will be responsible for designing and delivering a hyperscale-level platform capable of orchestrating large-scale GPU infrastructure across data centres and cloud environments, while meeting enterprise expectations around performance, security, reliability, and compliance.

The platform is everything.

Key Responsibilities:

Platform & Architecture

• Own the end-to-end technical vision and architecture for a large-scale AI compute marketplace.
• Design systems capable of orchestrating and scheduling GPU workloads across heterogeneous environments (on-prem data centres, neoclouds, and public cloud).
• Build for hyperscale from day one: multi-tenant, resilient, observable, and secure by default.
• Make pragmatic technology choices that balance speed, robustness, and long-term scalability.

Hands-On Engineering

• Remain actively involved in development as needed, particularly in the early stages.
• Contribute to core platform components across backend, infrastructure, and integrations.
• Set engineering standards for code quality, testing, reliability, and deployment.

GPU & Infrastructure Leadership

• Deep ownership of GPU deployment models, performance characteristics, and capacity management.
• Strong understanding of modern data centre infrastructure (networking, storage, bare metal, accelerators).
• Architect hybrid and multi-cloud deployments with a strong grasp of cloud primitives and cost/performance trade-offs.

Security, Reliability & Enterprise Readiness

• Ensure the platform meets enterprise requirements around security, isolation, compliance, and availability.
• Build robust monitoring, observability, and incident response capabilities.
• Partner closely with commercial teams to support enterprise customers and large-scale deployments.

Team & Culture

• Build and lead a high-performing engineering organisation as the company scales.
• Hire exceptional full-stack, platform, and infrastructure engineers.
• Foster a culture of ownership, speed, and technical excellence.

Ideal Candidate Profile

Background & Experience

• Proven experience as a senior technical leader (CTO, VP Engineering, Principal Architect) in a high-growth startup or scale-up.
• Strong full-stack engineering background with the ability to work across backend, infrastructure, and platform layers.
• Deep experience with GPU infrastructure, AI/ML platforms, or large-scale compute systems.
• Demonstrated experience designing and operating distributed systems at scale.

Technical Strengths

• Strong understanding of GPU workloads, scheduling, performance optimisation, and capacity planning.
• Hands-on experience with cloud platforms and modern infrastructure tooling.
• Solid grasp of data centre architecture, networking, and hybrid cloud environments.
• Experience building platforms that operate reliably at scale, not just prototypes.

Mindset

• Builder mentality: sleeves-up, pragmatic, and execution-focused.
• Comfortable operating in ambiguity and moving quickly without sacrificing fundamentals.
• Product-oriented thinker who understands that platform decisions directly impact commercial outcomes.
• Able to partner effectively with a commercially strong founding team.

Why This Role

• Opportunity to define the technical foundation of a category-defining AI infrastructure platform.
• Immediate scale: significant live GPU capacity and enterprise-level demand.
• Strong commercial momentum paired with experienced, well-capitalised founders.
• A rare chance to build hyperscale infrastructure without the constraints of legacy systems.