Senior Technical Program Manager

Intone Inc

California, Northern (MO, KY)

Hybrid

USD 150,000 - 190,000

Full time

14 days+
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Job summary

Intone Inc. is seeking a Senior Technical Program Manager for a 12+ month contract, remote within California.

You will lead the planning, design, and implementation of enterprise-scale data center, cloud, and AI infrastructure to support scientific research and high-performance workloads. The role demands deep experience in distributed systems, Kubernetes, HPC, and cost analysis, with a track record of delivering complex programs from concept to operations and partnerships with cross-functional

Qualifications

  • 10+ years of experience as a Technical Program Manager leading the planning, design, and implementation of enterprise-scale data center, cloud, and research computing infrastructure.
  • Experience with distributed computing platforms, virtualization and container orchestration (Kubernetes), cloud services, and AI/ML infrastructure.
  • Experience evaluating HPC and data center architecture, technology assessments, platforms, and vendor offerings.
  • Ability to translate research and institutional requirements into scalable, secure, and sustainable technology solutions and to develop financial analyses (TCO, ROI, budgeting).

Responsibilities

  • Lead the planning, design, and implementation of enterprise-scale data center, cloud, and research computing infrastructure, including HPC, GPU-accelerated computing, large-scale storage, and high-speed networking architectures.
  • Translate research and institutional requirements into scalable, secure, and sustainable technology solutions.
  • Develop programs from concept through implementation, including business case development, stakeholder alignment, governance design, and transition to operational ownership.
  • Develop financial analyses, including cost modeling, TCO, ROI, budget forecasting, and vendor pricing evaluations.
  • Evaluate HPC and data center architecture, technology assessments, platforms, and vendor offerings against organizational needs.

Skills

Technical Program Management
Data Center Infra
Cloud Computing
Kubernetes

Job description

We are seeking a Senior Technical Program Manager for a 12+ month contract position, remote within California. This role focuses on leading the planning, design, and implementation of enterprise-scale data center, cloud, and research computing infrastructure supporting scientific research and artificial intelligence workloads.

Responsibilities
  • Lead the planning, design, and implementation of enterprise-scale data center, cloud, and research computing infrastructure, including high-performance computing (HPC), GPU-accelerated computing, large-scale storage, and high-speed networking architectures that support scientific research and AI workloads.
  • Translate research and institutional requirements into scalable, secure, and sustainable technology solutions.
  • Develop programs or initiatives from concept through implementation, including business case development, stakeholder alignment, governance design, and transition to operational ownership.
  • Develop financial analyses, including cost modeling, total cost of ownership (TCO), return on investment (ROI), budget forecasting, and vendor pricing evaluations.
  • Evaluate high-performance computing (HPC) and data center architecture, technology assessments, platforms, and vendor offerings against organizational needs, strategic goals, security requirements, and operational constraints.
Qualifications
  • Required
    • 10+ years of experience as a Technical Program Manager leading the planning, design, and implementation of enterprise-scale data center, cloud, and research computing infrastructure.
    • 10+ years combined IT Project and Program Manager experience with technical expertise in modern compute, storage, networking, and AI infrastructure technologies.
    • Demonstrated experience with distributed computing platforms, virtualization and container orchestration (e.g., Kubernetes), cloud services, and AI/ML infrastructure.
    • Experience evaluating high-performance computing (HPC) and data center architecture, technology assessments, platforms, and vendor offerings.
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