Senior / Staff Technical Program Manager, AI Research

What you'll do

• Build and maintain integrated research roadmaps, tracking milestones, dependencies, critical paths, and decisions.
• Coordinate transitions from pre-training through post-training, evaluation, and deployment, aligning handoff criteria and owners.
• Synchronize data, compute, and hardware needs; resolve blockers and communicate capacity, staffing, and execution risks.

What they ask for

• Significant technical program management experience delivering complex, interdependent work across technical organizations.
• Strong understanding of the machine learning development lifecycle, including datasets, training, evaluation, iteration, and production.
• Ability to establish execution systems amid ambiguity and drive progress across teams without direct authority.
• Technical fluency, experience coordinating constrained engineering resources, and excellent written and verbal communication.

Nice to have

• Experience in large-scale model training, foundation or generative models, computer vision, embodied AI, or robotics.
• Familiarity with GPU clusters, data pipelines, robot testing and evaluation, hardware/software integration, or research-to-customer-facing engineering.

Tools

GPU

AI focus

Coordinates AI research and model development programs spanning pre-training, post-training, applied research, data, GPU infrastructure, robotics, evaluation, and deployment.