Director of Technical Program Management - AI Infrastructure

Hamilton Barnes

Sydney

Remote

AUD 240,000 - 260,000

Full time

4 days ago
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Benefits offered by this job

Fully remote across EMEA
Performance bonus
Equity participation
Training & certification support
NVIDIA-partnered ecosystem access

Job summary

Hamilton Barnes seeks a Director of Technical Programme Management to own and lead enterprise customer deployments across the EMEA region. You will stay hands-on in architecture sessions, guide strategic programmes, and present health updates to C-suite leaders.

The role requires 10+ years in technical programme management with strong Kubernetes and cloud experience, plus a proven ability to drive multi-stakeholder initiatives in a fast-growing environment.

Qualifications

  • 10+ years in technical programme management or cloud delivery.
  • Experience leading complex, customer-facing deployments at director level.
  • Proficient in Kubernetes, GPU/AI workloads and cloud platforms.
  • Strong governance, risk and dependency management across multiple engagements.

Responsibilities

  • Lead and govern strategic enterprise deployments of Kubernetes and GPU PaaS across EMEA.
  • Serve as the primary technical programme authority for onboarding and platform adoption.
  • Partner with customer engineering, DevOps, and exec stakeholders to define scope and priorities.
  • Facilitate workshops, architecture reviews, and governance cadences.
  • Collaborate with Product, Engineering, Pre-Sales, Customer Success and Partners to remove blockers.
  • Own risk management, escalation, and executive status reporting throughout delivery.
  • Provide leadership across Kubernetes, cloud-native architectures, CI/CD, and Observability tooling.
  • Establish scalable delivery processes and governance frameworks for growth.
  • Mentor TPMs and solutions architects to mature the delivery function.
  • Drive accountability to land projects on time and within scope.

Skills

Technical Programme Leadership
Kubernetes expertise
Cloud platforms
Stakeholder management
Architecture discussions

Education

PMP (preferred)

Tools

AWS
Azure
GCP

Job description

Are you looking for an exciting new opportunity?

Join the platform behind AI factories, helping enterprises, neoclouds, sovereign AI providers, and telecommunications companies turn GPU infrastructure into production-ready AI platforms. Combining built-in automation, multi-tenancy, governance, and observability, the organization gives customers a unified way to deliver self-service GPU infrastructure and AI services with confidence.

Applications are open for a Director of Technical Programme Management to own and lead strategic enterprise customer deployments across the EMEA region. The ideal candidate will steer the most significant deployments, spanning GPU PaaS, Kubernetes at scale, sovereign cloud, and multi-cloud modernisation. They will stay hands-on in architecture sessions, technical planning, and escalation resolution, while presenting programme health to C-suite stakeholders and shaping the delivery methodology.

Responsibilities:
  • Lead and govern strategic enterprise customer implementations of the Kubernetes and GPU PaaS platform across the EMEA region, managing multiple concurrent high-visibility programmes.
  • Serve as the primary technical programme authority for large-scale onboarding, infrastructure modernisation, cloud migration, and platform adoption engagements.
  • Partner directly with customer engineering, DevOps, infrastructure, and executive stakeholders to define scope, align on priorities, and drive successful delivery outcomes.
  • Facilitate customer discovery workshops, architecture reviews, technical planning sessions, and implementation governance cadences.
  • Collaborate cross-functionally with Product, Engineering, Pre-Sales, Customer Success, and Partner teams to remove execution blockers and align delivery priorities.
  • Own programme risk management, dependency tracking, escalation handling, and executive-level status communication throughout the full delivery lifecycle.
  • Provide technical leadership and advisory guidance across Kubernetes, GPU infrastructure, cloud-native architectures, AI/ML platform deployments, CI/CD, GitOps, FinOps, and Observability tooling.
  • Establish scalable delivery processes, implementation methodologies, and programme governance frameworks that support the growth of the EMEA customer delivery organisation.
  • Mentor and develop TPMs, solutions architects, and technical delivery resources, contributing to the maturation of the wider delivery function.
  • Drive accountability across internal and customer-side teams to ensure projects land on time, within scope, and to the satisfaction of senior stakeholders.
Skills / Must Have:
  • Experience: 10+ years in technical programme management, cloud infrastructure delivery, or enterprise software implementation; with at least 5 years leading complex, customer-facing deployments at Director level or equivalent seniority.
  • Core Tech / Domain: Deep, hands-on expertise in Kubernetes (CKA/CKAD advantageous), containerisation, GPU/AI workloads, and cloud platforms (AWS, Azure, or GCP). Must be comfortable engaging in architecture discussions, not merely overseeing them.
  • Methodology / Protocols: Proven experience delivering multi-stakeholder enterprise programmes involving cloud-native migrations, infrastructure modernisation, and AI/ML platform rollouts. Strong grounding in programme governance frameworks, risk management, and dependency management across concurrent engagements.
  • Soft Skills: Executive-level communicator with the gravitas to influence customer C-suite and engineering leadership simultaneously. Must possess a constructive pushback mindset, able to hold scope, manage expectations, and escalation with clarity. Comfortable operating with a high degree of autonomy in a fast-paced,scale-up environment.
Desirable Skills:
  • Active certifications: PMP, AWS Solutions Architect (Associate or Professional), CKA, or CKAD.
  • Familiarity with GPU orchestration technologies, SLURM, or AI inference infrastructure (NVIDIA NIM, model serving frameworks).
  • Exposure to sovereign cloud or neocloud delivery models.
  • Prior experience working with or for CNCF-affiliated vendors or Kubernetes-native ISVs.
  • Background in FinOps, DevSecOps toolchain integration, or multi-tenant platform delivery.
Benefits:
  • Fully remote role across the EMEA region with flexible working arrangements.
  • Competitive base salary with performance-related bonus structure.
  • Equity participation in a high-growth, venture-backed technology company.
  • Access to training allowances and professional certification support (cloud, Kubernetes, programme management).
  • Opportunity to operate within a globally recognised, NVIDIA-partnered ecosystem.
  • (Full benefits package to be confirmed at offer stage (candidates should clarify specifics during process.)
Salary:
  • AUD 240-260k base (some flex, maybe 170k max) + performance bonus + equity.
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