Principal Technical Program Manager, AI Cloud Infrastructure

Iris Energy; San Francisco (CA); Hybrid; USD 200,000 - 260,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Flexible work arrangements

Career growth opportunities

Company events

Job summary

IREN, a leading AI Cloud provider, seeks a Principal Technical Program Manager for Bare Metal GPU & AI Cloud Delivery in San Francisco. You will own end-to-end delivery from planning to production handoff, coordinating across hardware, data center, and cloud software teams to ensure scalable, production-ready GPU cloud infrastructure for AI workloads.

The role requires deep experience in GPU infrastructure, data center readiness, and cross-functional leadership, with a focus on risk management

Qualifications

• Bachelor's degree in a technical discipline or equivalent experience.
• 10+ years of experience in technical program management, cloud infrastructure, data centers, hardware infrastructure, or software engineering programs.
• Proven experience owning end-to-end delivery of complex infrastructure programs from planning and requirements through deployment, production readiness, customer launch, and operational handoff.
• Strong understanding of bare metal GPU infrastructure, GPU server platforms, high-performance networking, storage, cloud platforms, distributed systems, and data center dependencies such as power, cooling, rack layout, and network readiness.
• Experience leading GPU cluster bring-up, capacity enablement, hardware deployment, network integration, validation, and production launch across internal teams, vendors, and external partners.
• Ability to manage critical paths, risks, dependencies, schedules, decision forums, executive communications, and customer-facing delivery commitments in high-ambiguity environments.

Responsibilities

• Own and drive end-to-end delivery processes for Bare Metal GPU and AI Cloud programs, from requirements definition, infrastructure design, capacity planning, procurement readiness, and deployment planning through commissioning, software deployment, customer handover, and operational steady state.
• Define, standardize, and scale repeatable delivery processes across multiple data centers, ensuring each site follows clear playbooks, milestones, dependency tracking, readiness criteria, risk management, escalation paths, and handoff procedures.
• Lead cross-functional execution across infrastructure design, data center operations, supply chain, logistics, infrastructure installation, cabling, networking, commissioning, cloud software deployment, security, customer engineering, and support teams.
• Partner with infrastructure design teams to translate AI Cloud capacity, GPU cluster architecture, power, cooling, rack layout, network fabric, storage, and operational requirements into executable multi-site delivery plans.
• Collaborate with supply chain and vendor partners to align GPU systems, network equipment, racks, optics, storage, firmware, spares, logistics, and site delivery schedules with program milestones and customer commitments.
• Coordinate infrastructure installation and site readiness activities, including rack placement, power and cooling validation, network turn-up, cabling completion, hardware acceptance, and issue remediation across internal teams and external contractors.
• Drive commissioning and production readiness reviews for each GPU cluster, ensuring hardware, firmware, networking, storage, automation, observability, security controls, support processes, and service acceptance criteria are fully validated before launch.
• Lead software deployment readiness across provisioning, orchestration, monitoring, capacity management, customer onboarding workflows, and platform service enablement to ensure AI Cloud environments are production-ready.
• Own customer handover planning and execution, including launch readiness, acceptance criteria, documentation, support transition, known-issue tracking, stakeholder communications, and post-launch stabilization.
• Establish portfolio-level governance for concurrent data center and AI Cloud delivery programs, providing executive-level reporting on progress, risks, dependencies, escalations, site readiness, customer impact, and business outcomes.
• Identify bottlenecks across process, tooling, vendor execution, installation workflows, commissioning, software deployment, and operational handoffs; drive durable improvements that increase deployment velocity, repeatability, quality, reliability, and cost efficiency.

Skills

End-to-end program management

Cloud infrastructure

Data centers

GPU infrastructure

High-performance networking

Executive communications

Risk management

Education

Bachelor's degree in a technical discipline

Tools

Kubernetes

IaC

Automation

Observability

Job description

IREN is a vertically integrated AI Cloud provider, delivering large-scale data centers and GPU clusters for AI training and inference. IREN’s platform is underpinned by its expansive portfolio of grid-connected land and power in renewable-rich regions across North America, Europe and APAC.

With 100% renewable energy, we build, own and operate our data centers and take pride in being at the forefront of sustainable solutions for the ever-evolving applications of high-performance compute. We believe that human progress is invaluable, but it should be done in the right way – responsibly, sustainably and having a positive impact on the communities we operate in.

As a Principal Technical Program Manager, Bare Metal GPU & AI Cloud Delivery, you will own the end-to-end delivery of strategic AI Cloud programs, from infrastructure planning, capacity readiness, and bare metal GPU cluster bring-up through production launch, customer onboarding, and operational handoff. You will bring structure, execution discipline, and technical depth to programs spanning GPU systems, high-performance networking, storage, data center readiness, platform software, security, and customer-facing delivery.

You will partner closely with infrastructure engineering, AI cloud software engineering, data center operations, networking, security, supply chain, finance, solution architecture, product, and customer-facing teams to deliver reliable, scalable, production-ready GPU cloud infrastructure for AI training and inference workloads at scale.

This role requires a senior owner who can operate across hardware, data center, and cloud software domains; drive clarity in ambiguous environments; anticipate risks across vendors, facilities, and engineering teams; and ensure that every stage of AI Cloud delivery is planned, tracked, validated, and communicated with executive-level precision.

Job requirements

• Bachelor's degree in a technical discipline or equivalent experience.
• 10+ years of experience in technical program management, cloud infrastructure, data centers, hardware infrastructure, or software engineering programs.
• Proven experience owning end-to-end delivery of complex infrastructure programs from planning and requirements through deployment, production readiness, customer launch, and operational handoff.
• Strong understanding of bare metal GPU infrastructure, GPU server platforms, high-performance networking, storage, cloud platforms, distributed systems, and data center dependencies such as power, cooling, rack layout, and network readiness.
• Experience leading GPU cluster bring-up, capacity enablement, hardware deployment, network integration, validation, and production launch across internal teams, vendors, and external partners.
• Ability to manage critical paths, risks, dependencies, schedules, decision forums, executive communications, and customer-facing delivery commitments in high-ambiguity environments.

Preferred Qualifications

• Experience in hyperscale cloud, AI infrastructure, GPU cloud, bare metal cloud, or HPC environments.
• Experience supporting NVIDIA-based AI platforms, high-density GPU clusters, InfiniBand or high-performance Ethernet fabrics, and cloud capacity bring-up with external partners.
• Familiarity with Kubernetes, cloud-native platforms, provisioning, orchestration, automation, observability, fleet management, and infrastructure-as-code practices.
• Experience partnering with solution architects, customer engineering, sales engineering, managed service providers, system integrators, and data center delivery teams.
• PMP, PgMP, Agile, Scrum, or similar certifications.

Job responsibilities

• Own and drive end-to-end delivery processes for Bare Metal GPU and AI Cloud programs, from requirements definition, infrastructure design, capacity planning, procurement readiness, and deployment planning through commissioning, software deployment, customer handover, and operational steady state.
• Define, standardize, and scale repeatable delivery processes across multiple data centers, ensuring each site follows clear playbooks, milestones, dependency tracking, readiness criteria, risk management, escalation paths, and handoff procedures.
• Lead cross-functional execution across infrastructure design, data center operations, supply chain, logistics, infrastructure installation, cabling, networking, commissioning, cloud software deployment, security, customer engineering, and support teams.
• Partner with infrastructure design teams to translate AI Cloud capacity, GPU cluster architecture, power, cooling, rack layout, network fabric, storage, and operational requirements into executable multi-site delivery plans.
• Collaborate with supply chain and vendor partners to align GPU systems, network equipment, racks, optics, storage, firmware, spares, logistics, and site delivery schedules with program milestones and customer commitments.
• Coordinate infrastructure installation and site readiness activities, including rack placement, power and cooling validation, network turn-up, cabling completion, hardware acceptance, and issue remediation across internal teams and external contractors.
• Drive commissioning and production readiness reviews for each GPU cluster, ensuring hardware, firmware, networking, storage, automation, observability, security controls, support processes, and service acceptance criteria are fully validated before launch.
• Lead software deployment readiness across provisioning, orchestration, monitoring, capacity management, customer onboarding workflows, and platform service enablement to ensure AI Cloud environments are production-ready.
• Own customer handover planning and execution, including launch readiness, acceptance criteria, documentation, support transition, known-issue tracking, stakeholder communications, and post-launch stabilization.
• Establish portfolio-level governance for concurrent data center and AI Cloud delivery programs, providing executive-level reporting on progress, risks, dependencies, escalations, site readiness, customer impact, and business outcomes.
• Identify bottlenecks across process, tooling, vendor execution, installation workflows, commissioning, software deployment, and operational handoffs; drive durable improvements that increase deployment velocity, repeatability, quality, reliability, and cost efficiency.

At IREN, we offer a highly competitive compensation package that includes base salary, annual performance incentives, and opportunities to build long-term wealth through equity programs. These offerings are part of our broader Total Rewards package, thoughtfully designed to support your health, well-being, and long-term success.

Compensation

• Salary range (for San Francisco, California location): USD $200,000 - 260,000/annum, depending on experience
• Short-term and Long-term Incentive Programs

Health & Wellness

• Medical, dental, and vision insurance coverage – 100% company paid for employees, 75% company paid coverage for dependents
• Company-paid life and disability insurance
• Voluntary life, critical illness, and accident coverage available
• Health Savings Accounts (HSA) – when combined with theHigh-DeductibleHealthPlan
• Employee Assistance Program and wellness resources

Financial Well-Being

• 401(k) retirement plan with company match
• Financial wellness tools and resources

Time Off & Flexibility

• Paid Time Off (PTO) and paid holidays
• Flexible work arrangements

Growth & Development

• Opportunities for advancement and internal mobility
• Training and personal development opportunities

Lifestyle & Culture

• Company events and team-building activities
  We value diverse perspectives and believe that skills can be developed.

IE US Operations Inc., the employing entity and proud member of the IREN group is an equal opportunity employer that is committed to creating an inclusive workplace. We are committed to evaluating qualified applicants and do not discriminate against protected characteristics under applicable legislation.

We participate in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. E-Verify Participation Notice.

By applying for this position and submitting your resume and application materials, you consent to the processing of your personal information in accordance with our Job Applicant Privacy Statement available on our website at www.iren.com.