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Technical Program Manager (TPM), Infrastructure

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Hybrid (Remote)Full-timePosted 4mo ago

About the role

SpaceXAI is hiring a Technical Program Manager to partner with Infrastructure teams to drive COGS attribution, R&D spend efficiency, and resource allocation across SpaceXAI's infrastructure. The role involves turning complex cost and capacity data into actionable decisions, owning programs to enable engineering prioritization, and coordinating GPU allocation, inference cost management, and R&D investment efficiency through cross-functional collaboration with ML, Infrastructure, and Finance.

Responsibilities

  • Own COGs and R&D attribution programs. Stand up cost attribution across inference, compute, and infrastructure workloads. Partner with Finance and Data to connect spend to products, features, and business metrics. Make cost data actionable for engineering and executive decision-making.
  • Drive GPU and infrastructure resource allocation. Build frameworks for capacity planning and allocation across 1P models, 3P inference, and experimentation. Run recurring reviews with ML and Infra leadership. Translate business priorities into concrete allocation plans.
  • Manage technical programs with infrastructure teams. Scope and drive programs in cost optimization, capacity planning, reliability, and migration. Own the operating rhythm for each program alongside a designated sponsor: track progress, escalate blockers, ensure outcomes.
  • Partner strategically with engineering leaders. Serve as a thought partner on resource tradeoffs, investment prioritization, and operational improvements across ML, Infrastructure, and Finance. Synthesize complex technical and financial information into clear recommendations.
  • Roll up your sleeves. Dig into dashboards, data, and systems. Write the doc, build the model, run the analysis, and get stuff done.

Qualifications

  • 5+ years in Technical Program Management or similar roles in highly technical environments.
  • Experience with cloud infrastructure costs, GPU/compute capacity planning, or COGs/R&D attribution.
  • Strong analytical skills; comfortable with cost data, utilization metrics, and financial models.
  • Proven ability to drive cross-functional programs across Engineering, ML, and Finance without direct authority.
  • Bias toward action and outcomes over process and ceremony.

Skills

Required:Technical Program ManagementCost attribution & financial modelingGPU/compute capacity planningData interpretation & dashboarding
Last updated Oct 15, 2026. Interested? Apply on the company site.
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