Staff Technical Program Manager, Embodied AI

General Motors (GM)

Hybrid

Quick summary

Work type: Hybrid
Location: Mountain View, CA
Salary: $159,400–$245,000 / yr
Posted: 10 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $207k

This role $202k

$148k most similar roles pay here $262k

This role pays less than 55% of similar roles. Most pay $168,622–$246,150 — the shaded band above. At the midpoint, this role pays about $202k versus about $207k for comparable roles.

Based on 239 similar postings.

Employer

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 104 open roles on FindRole.

Listed pay typically runs $172,750–$261,300 across 60 roles with salary data.

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View all roles at General Motors (GM)

At a glance

TL;DR · Staff Technical Program Manager, Embodied AI

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As a Staff Technical Program Manager in Embodied AI at General Motors, you will oversee the end-to-end delivery of complex AI model development programs from research to production deployment on next-generation autonomy platforms. Your role involves translating intricate ML initiatives into structured execution plans that ensure high-quality systems for real-world vehicle applications. You will manage cross-functional teams and drive technical projects with significant executive oversight, focusing on performance, safety, and quality standards for advanced driver assistance systems (ADAS) and autonomous vehicles (AV). Key responsibilities include defining success criteria, implementing KPI-driven reporting, and ensuring robust model training and evaluation processes. The ideal candidate has a strong background in AI/ML program management, experience with large-scale ML infrastructure, and the ability to communicate technical progress effectively to senior leadership.

Skills

Python Kubernetes Terraform Docker CI/CD Prometheus Grafana PostgreSQL AWS GitLab Jenkins MLOps Scikit-learn TensorFlow PyTorch GitHub Confluence JIRA Azure DevOps

What you'll do

Own end-to-end model development from research to production release.
Drive milestone readiness across training cycles and performance gates.
Define clear success criteria, metrics, and evaluation frameworks for AI models.
Design and implement execution mechanisms for faster, predictable EAI delivery.
Standardize Embodied AI initiative processes across teams and programs.
Ensure engineering teams have the necessary data, tooling, and clarity to meet targets.

What we're looking for

8+ years of experience in technical program management within software or ML-intensive environments.
Proven track record leading large-scale AI/ML programs from concept to production deployment.
Strong knowledge of modern model development workflows, including data ingestion and curation.
Ability to operate effectively in cross-functional environments, influencing senior leaders.
Exceptional communication skills for translating technical execution into executive-level narratives.
Bachelor’s degree in Computer Science, Engineering, Robotics, or related field required.
MS or PhD preferred in a relevant technical discipline.

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