Staff Technical Program Manager - AI Resources

Within Boston Dynamics’ PMO, this role manages the resources supporting AI robotics teams. The Technical Program Manager coordinates engineering, data, and infrastructure work, resolves competing demands for limited compute, and develops resourcing plans aligned with the broader AI strategy.

Responsibilities

• Sequence and prioritize work across training clusters, data processing pipelines, data operations, and engineering teams. Allocate GPU capacity among concurrent model-training projects and schedule utilization around critical business events and deadlines.
• Oversee pipelines that turn real-world robot experience into data for training and controlling AI models. Manage external data annotation and QA vendors; procure data, negotiate contracts, and source commercial training datasets for future modeling.
• Partner with AI engineering leaders on resourcing objectives, priorities, plans, and roadmaps. Identify compute and data availability risks, develop contingencies, report utilization to engineers, data operations leads, and executives, and address bottlenecks.
• Improve allocation processes and utilization tracking, conduct post-program reviews, and deliver programs supporting AI infrastructure and internal AI tools.

Requirements

• BS or higher in engineering or a related technical field, such as computer science, electrical engineering, mechanical engineering, or physics, or equivalent work experience.
• At least 2 years in program management managing multiple programs and schedules, ideally involving compute or infrastructure resourcing. Experience coordinating engineering and data teams around constrained shared resources, such as GPU clusters and data pipelines, and building sustainable cross-functional processes.
• Ability to manage technical dependencies and tradeoffs, communicate complex information through presentations, white papers, and status updates, and work with technical and nontechnical stakeholders. Experience applying project management tools and methods across the AI/ML development lifecycle, including Google Suite and Jira/Atlassian products.

Preferred

Direct GPU or training-cluster allocation experience; familiarity with annotation and QA vendor management for ML pipelines; and understanding of AI/ML training workflows, ideally in robotics.

The listed base pay range is $130,000–$150,000 annually. Benefits include medical, dental, vision, 401(k), paid time off, and an annual bonus structure.