Staff Technical Program Manager, AI Infrastructure

General Motors (GM)

Remote

Quick summary

Work type
Remote
Location
Remote
Posted
3 days ago

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Similar $209k
$158k most similar roles pay here $263k

This listing doesn't post a salary. Most similar roles pay $172,000–$245,225.

Based on 239 similar postings.

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About General Motors (GM)

General Motors (GM) is a leading American multinational automotive corporation founded in 1908 and headquartered in Detroit, Michigan.

General Motors (GM) currently has 131 open roles on FindRole.

Listed pay typically runs $170,000–$258,500 across 75 roles with salary data.

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At a glance

TL;DR · Staff Technical Program Manager, AI Infrastructure

We are seeking a Staff Technical Program Manager to lead AI ML Infrastructure programs for our autonomous driving platform. In this role, you will drive strategy and execution for large-scale ML infrastructure, including training pipelines, model lifecycle management, and compute orchestration, ensuring systems are scalable and production-ready. You will collaborate with cross-functional teams to define requirements, prioritize initiatives, and deliver solutions that improve AI development cycle performance. Key responsibilities include technical road mapping, risk management, scalability planning, and defining KPIs for ML platform performance. The ideal candidate has over 10 years of experience in technical program management, including leadership of large-scale ML infrastructure programs, with deep familiarity in Agile delivery, task management tools like Jira, and cloud infrastructure such as Kubernetes or GCP. This role requires expertise in managing complex, multi-disciplinary programs involving ambiguous requirements and a strong background in SRE practices for ML systems.

What you'll do

  • Lead strategic planning and execution for AI ML Infrastructure programs to enhance training throughput and reliability.
  • Define technical roadmaps that align with organizational goals for evolving ML infrastructure needs.
  • Manage risks and develop mitigation strategies to protect training timelines and platform stability.
  • Ensure AI ML operations processes are scalable, performant, and operationally excellent over the long term.
  • Establish KPIs and maintain transparent dashboards for ML platform performance and delivery velocity.

What we're looking for

  • 10+ years of technical program management experience leading complex multi-disciplinary programs.
  • 5+ years in ML Operations, AI platform engineering, or distributed compute environments.
  • BS or MS in Engineering, Computer Science, or a related field.
  • Proven ability to manage large-scale machine learning training and infrastructure programs.
  • Strong communication and collaboration skills for cross-functional team leadership.
  • Experience analyzing system performance metrics and translating insights into program improvements.
  • Deep familiarity with Agile delivery methods and technical development tooling.

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