Technical Program Manager - Post-Training (Physical Eng)

Google LLC; Mountain View (CA); On-site; USD 192,000 - 278,000; Full time

Job summary

Google LLC is seeking a Technical Program Manager for Gemini Post-Training (Physical Engineering). You will lead multi-disciplinary programs, plan requirements with internal customers, and guide projects from scope to delivery.

In this role you’ll apply program management practices to post-training data and modeling initiatives, partnering with researchers, engineers, and product managers to achieve executable, spec-compliant designs.

Qualifications

• Bachelor's degree in a technical field or equivalent practical experience.
• 8 years of program management experience.
• Experience managing cross-functional or cross-team projects.
• Experience coordinating post-training or agentic tool-use programs in fast-paced environments.

Responsibilities

• Organize and optimize post-training initiatives across hardware, physical systems, and infrastructure into clear goals, milestones, and release plans.
• Scope and execute domain-expert data acquisition, design ingestion pipelines, synthetic task generation, and RL environments.
• Partner with modeling leads to build customer-centric benchmarks and simulation/rule verifiers grading executability, physical well-formedness, and spec satisfaction.
• Manage project planning using lightweight methodologies to improve research velocity, release predictability, and align cross-functional dependencies.
• Evaluate technical trade-offs between geometric plausibility versus true functional engineering correctness, manufacturability constraints, and reward hacking risks.

Skills

Cross-functional mgmt

Post-training program exp

Physical engineering domain knowledge

ML lifecycle knowledge

Education

Bachelor's degree in a technical field

Job description

Google LLC is seeking a Technical Program Manager for Gemini Post-Training (Physical Engineering). You will lead multi-disciplinary programs, plan requirements with internal customers, and guide projects from scope to delivery.

In this role you’ll apply program management practices to post-training data and modeling initiatives, partnering with researchers, engineers, and product managers to achieve executable, spec-compliant designs.