Job Description

Staff Technical Program Manager, AI Training Program

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard – from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.

The Role

We are seeking a Staff Technical Program Manager (TPM) to lead the AI Training Program for our autonomous driving platform. In this role, you will own strategy and execution for large‑scale data, tooling, and training pipelines that power next‑generation autonomy models. You will operate at the intersection of AI research, infrastructure, operations, and product – ensuring seamless ingestion, processing, and deployment of massive datasets that accelerate end‑to‑end model development.

What You’ll Do

• Program Leadership: Own end‑to‑end delivery of the AI Training Program, driving measurable improvements in training throughput, dataset readiness, and model velocity. Set clear OKRs, milestones, and execution plans across multiple teams.

• Cross-Functional Alignment: Partner with AI/ML, infrastructure, validation, and product teams to define requirements, prioritize roadmap tradeoffs, and ensure execution against critical development timelines.

• Technical Roadmapping: Translate complex systems challenges—distributed training, data pipelines, compute scaling—into actionable plans with clear ownership, dependencies, and success metrics.

• Scalability & Performance: Drive the design and evolution of highly scalable, reliable training pipelines capable of supporting rapidly growing datasets and compute demands.

• Risk & Dependency Management: Proactively identify risks and cross-team dependencies, implement mitigation strategies, and maintain program stability in a fast-moving, ambiguous environment.

• Operational Excellence: Establish repeatable processes, tooling, and governance to improve execution efficiency and program predictability.

• Metrics & Visibility: Define and track KPIs (training cycle time, system utilization, model throughput); deliver clear, executive-ready insights to guide prioritization and decision-making.

Your Skills & Abilities (Required Qualifications)

• 10+ years of technical program management experience leading large, complex, cross-functional initiatives.

• 5+ years working with AI/ML systems, model training pipelines, robotics, autonomous systems, or large-scale distributed compute environments

• BS or MS in Engineering, Computer Science, or a related technical field

• Strong understanding of both hardware and software systems, with experience partnering closely with engineering teams

• Experience delivering large-scale AI/ML infrastructure or training programs involving data pipelines, compute, and tooling

• Proven ability to manage ambiguity and drive alignment across engineering, product, and operations stakeholders

• Strong analytical mindset with experience using data to identify bottlenecks and drive system-level improvements

• Excellent communication and stakeholder management skills, with the ability to influence at all levels

• Deep familiarity with Agile delivery, program tracking tools (e.g., JIRA), and data/reporting frameworks

What will give you a competitive edge (Preferred Qualifications)

• Experience scaling AI/ML training platforms for autonomous systems, robotics, or large-scale perception workloads

• Strong familiarity with distributed training frameworks and data pipeline ecosystems (e.g., PyTorch, Spark, Airflow)

• Experience with cloud or high-performance compute environments, including GPU/accelerator-based training infrastructure

• Proven ability to influence technical strategy and drive alignment across senior engineering and product stakeholders

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.

• The salary range for this role is $159,400 - $245,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}.
This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire

Accommodations

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