Pay: $120,000.00 - $200,000.00 per year
Why This Is a Great Opportunity
- Own the program execution behind cutting-edge GPU and AI infrastructure deployments.
- Lead multiple complex GPU cluster deployments from contract signature through customer go-live.
- Work at the center of data centers, OEM hardware, networking, GPU infrastructure, and enterprise technology.
- Partner directly with technical leaders, vendors, customers, executive leadership, and the Board.
- Manage highly visible projects where strong execution directly impacts customer timelines and business growth.
- Gain exposure to the full lifecycle of building large-scale GPU clusters, from data center readiness through acceptance testing.
- Join a fast-moving, high-growth environment where you can make a measurable impact.
- Competitive bonus and equity opportunity in addition to base compensation.
Location:
Remote nationwide. This role offers the flexibility to work from anywhere in the US while coordinating complex infrastructure deployments across multiple sites and partners. Travel may be required based on deployment needs.
Note:
Must have 7+ years of program or project management experience supporting data center, infrastructure, telecom, or large-scale technology deployments, along with direct GPU cluster deployment experience. Candidates must be US citizens and must have genuine fluency in the GPU cluster deployment lifecycle. Generic project management experience without hands-on exposure to GPU cluster deployments will not meet the requirements.
About Us
We are building next-generation AI infrastructure and deploying high-performance GPU clusters for enterprise customers. Our teams bring together data centers, OEMs, networking providers, hardware partners, and technical specialists to deliver complex infrastructure from initial planning through customer go-live. Confidential Employer.
Job Description
- Own program management for multiple concurrent GPU cluster deployments from contract signature through customer go-live.
- Build and maintain detailed, dependency-aware project plans covering all deployment workstreams.
- Track OEM hardware manufacturing, shipment, delivery, installation, and provisioning timelines.
- Coordinate data center readiness, build-out, power, cooling, rack installation, and facility dependencies.
- Manage network and connectivity dependencies, including coordination with network service providers.
- Maintain clear visibility into project status, critical paths, risks, bottlenecks, dependencies, and mitigation plans across multiple simultaneous deployments.
- Proactively identify issues before they impact deployment schedules or budgets and coordinate appropriate escalation.
- Coordinate directly with OEM manufacturers, data center operators, network and connectivity providers, MSPs, and other external partners.
- Partner closely with GPU cluster architecture, data center operations, procurement, supply chain, and deployment teams.
- Produce clear progress reporting for enterprise clients and translate technical project status into meaningful go-live planning information.
- Prepare executive and Board-level reporting summarizing deployment status, risks, dependencies, schedule impacts, and financial considerations.
- Maintain working fluency across the GPU cluster deployment lifecycle, including data center readiness, hardware delivery and installation, network turn-up, provisioning, and acceptance testing.
- Ask the right technical questions to identify schedule risk, missing dependencies, and potential bottlenecks early.
- Ensure all deployment workstreams remain aligned and drive predictable contract-to-go-live timelines.
Qualifications
- 7+ years of program or project management experience supporting data center, infrastructure, telecom, or large-scale technology deployments.
- Direct experience managing GPU cluster deployments from planning through implementation or go-live.
- Demonstrated experience managing multiple concurrent, complex infrastructure projects.
- Strong understanding of GPU cluster architecture and the end-to-end deployment lifecycle.
- Experience coordinating data center readiness, hardware delivery and installation, network turn-up, vendor dependencies, and acceptance testing.
- Experience working directly with OEM manufacturers, data center operators, and network or connectivity providers.
- Strong experience with risk, issue, dependency, and critical-path management.
- Experience producing reporting for enterprise clients and executive or Board-level stakeholders.
- Strong proficiency with complex project management tools such as Smartsheet, MS Project, Jira, Confluence, Asana, or similar platforms.
- Excellent communication skills and the ability to work credibly with technical, operational, executive, and customer stakeholders.
- Must be a US citizen.
- PMP certification or equivalent is preferred.
- Experience with a neocloud, hyperscaler, GPU infrastructure provider, or similar large-scale compute environment is strongly preferred.
- Familiarity with NVIDIA Reference Architecture and cluster acceptance testing standards is a plus.
Why You Will Love Working Here
- Work on some of the most sophisticated GPU and AI infrastructure deployments in the market.
- Take ownership of complex programs with significant visibility and real business impact.
- Collaborate with experts across GPU architecture, data centers, supply chain, networking, and enterprise infrastructure.
- Build deep expertise across the entire GPU cluster deployment lifecycle.
- Work remotely while staying closely connected to major infrastructure deployments and strategic partners.
- Gain direct exposure to executive leadership and high-level decision-making.
- Help create repeatable deployment processes as the organization scales.
- Competitive base compensation plus bonus and equity.
JPC-1825
Benefits:
- 401(k)
- Dental insurance
- Paid time off
- Retirement plan
- Vision insurance
Avoid submitting candidates from telecommunications companies - businesses that provide communication services over wired and wireless networks.
Common services include:
Mobile phone (cellular) service
Landline telephone service
Internet/broadband
Fiber-optic internet
Cable TV and IPTV
Enterprise networking and cloud communications
Examples of major telcos include:
AT&T (U.S.)
Verizon (U.S.)
T-Mobile US (U.S.)
Vodafone (Global)
Orange (Europe/Africa)
Bharti Airtel (India)
Reliance Jio (India)
China Mobile (China)
In business and technology, "telco" can also refer to companies that provide network infrastructure, data connectivity, and communication APIs for enterprises.
8/19 They need to have this exp: Experience with multi-billion-dollar global deals, selling AI solutions to large enterprise clients, strong background in complex, consultative sales, comfortable managing long, sophisticated sales processes, able to handle a high volume of transactions at the same time. Recruiters don’t submit anyone without GPU experience to AXE.
Requirements: Must-have: Nationwide remote, 7+ yrs data center, infrastructure, telecom, or large-scale tech deployments PM exp, must have GPU cluster deployment exp (Y/N)must be US citizen
- Additional context: Relocation- [None; remote nationwide]. Packages - [no]
Submission Email: Kyle and Jeffrey - [email protected];[email protected]
Quick Recruiter Reference
Recruiters Submission: To submit, cancel - GPU Infrastructure Deployment Program Manager - Axe Compute - JPC- 1825- source
New Job Order Alert
- Client job title: GPU Infrastructure Deployment Program Manager
- Location: Nationwide
- On-site, hybrid, remote: Remote
- Experience: 7+
- Good fit job titles/keywords for candidates: Technical Program Manager, Infrastructure Program Manager, Data Center Program Manager, GPU Deployment Program Manager, AI Infrastructure PM, Data Center Deployment Manager, HPC Program Manager, Cluster Deployment Manager, Neocloud, Hyperscale, NVIDIA
- # of hires needed: 1
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