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TensorWave

Scalable AI cloud computing for PyTorch

Senior Manager, Technical Program Management, Data Center Build and Design

Program ManagementConfirmed live in the last 24 hours
Full-timeRemote in USARemote

About the Job

Requirements

  • 8 to 12 years in technical program management or delivery leadership, including at least 2 to 3 years managing people.
  • Direct ownership of large-scale data center design and construction delivery across multiple concurrent sites or a large multi-phase campus, from design through commissioning and service.
  • Demonstrated command of stage-gate delivery governance, including running a gate framework and ideally building or materially rebuilding one with written entry criteria and decision records.
  • Fluency in schedule logic at Primavera P6 grade or equivalent, critical path analysis, risk register discipline, and decision logs; personally accountable for schedule accuracy.
  • Working depth across data center infrastructure, including power architecture (utility feeds, generators, UPS, switchgear, PDU, and busway), cooling including liquid cooling for high-density deployments, structured cabling and fiber plant, and commissioning structures from factory acceptance through integrated systems testing.
  • Track record of influencing engineering organizations, general contractors, and vendors without direct authority.
  • Ability to build, develop, and retain a team of program managers.
  • Executive communication that leads with the conclusion, with early written escalations and recommendations.
  • Availability for regular travel to the assigned construction site at least monthly, extended on-site presence during energization and commissioning, and estimated travel of 30 to 40 percent.

Responsibilities

  • Own and operate the thirteen-gate delivery framework across active sites and data halls, including gate-package quality, review cadence, pass/conditional-pass/hold decisions, conditional-pass tracking, and turnover acceptance by Operations.
  • Build and manage a team of four to eight technical program managers across levels, including hiring plans, capacity allocation across sites, performance calibration, career development, onboarding, and training.
  • Own the design and build layer of the integrated master schedule, including critical-path logic, gate milestones, interlocks between whitespace and facility design freeze, long-lead procurement commitments, and fit-out sequencing in completed zones.
  • Produce portfolio status that executive leadership can act on without re-verification.
  • Hold external contractors, landlords, and vendors accountable for scope, schedule, and deliverable quality; own interface milestone discipline for colocation sites, including readiness reviews, acceptance, and service readiness.
  • Diagnose high-priority delivery blockers, assemble options, drive decisions, and communicate recovery plans in writing.
  • Capture cycle-time data per gate and site, incorporate lessons into the playbook, and improve delivery speed across successive sites while making the framework leaner.

Desired Qualifications

  • CDCDP, CDCP, or equivalent formal data center certification.
  • Experience delivering AI-density whitespace, including high-kilowatt-per-rack halls, direct liquid cooling integration, and pod-to-power granularity trade-offs.
  • Hyperscale, GPU cloud, or AI infrastructure background, particularly in an organization scaling through hypergrowth.
  • Experience delivering both greenfield builds and colocation tenant deployments, including landlord interface management.
  • Experience establishing a program management function rather than inheriting a mature one.
  • Familiarity with GPU cluster deployment, including rack integration, network fabric bring-up, node burn-in, and validation testing.
  • Candidates based near the Las Vegas or Richmond hubs are preferred.

About the Company

TensorWave

Scalable AI cloud computing for PyTorch

TensorWave provides cloud-based compute power for large-scale AI workloads, with a focus on PyTorch. It runs on AMD MI300X hardware with a scalable fabric that can pool vast amounts of VRAM, and customers access this power through a subscription or pay-as-you-go model. The service allocates the requested compute and storage behind a managed fabric, charging based on usage to offer flexibility and cost-efficiency. TensorWave aims to be a leading AI cloud provider by offering large VRAM pools and strong price‑to‑performance, helping enterprises and research institutions train, fine-tune, and deploy large models without owning hardware.

Company size
51-200
Company stage
Series B
Total funding
$493M
Headquarters
Las Vegas, NV
Founded
2023

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