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Staff Technical Program Manager, AI Training Program

$159.4k - $245k

General Motors Proving Ground

Staff Technical Program Manager, AI Training Program Staff Technical Program Manager (TPM) to lead the AI Training Program for our autonomous driving platform. Own strategy and execution for large‑scale data, tooling, and training pipelines that power next‑generation autonomy models, operating at the intersection of AI research, infrastructure, operations, and product to ensure seamless ingestion, processing, and deployment of massive datasets. 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. 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 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, as well as geography of the selected candidate. 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. Program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies. Immigration and Relocation 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 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. This job may be eligible for relocation benefits. Equal Employment Opportunity General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. 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. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at View phone number on click.appcast.io. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. #J-18808-Ljbffr

Vacancy posted 2 days ago
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