AI Technical Program Manager - LLM Post-Training

DeepMind Technologies Limited; New York (NY); On-site; USD 163,000 - 236,000; Full time

Job summary

Google is seeking a Technical Program Manager to lead multi-disciplinary engineering projects across Gemini releases. You will plan requirements with internal customers and guide projects through the entire lifecycle, including scheduling, risk identification, and clear updates to stakeholders.

Partner with researchers, engineers, product managers, and cross-functional teams to define scope, timelines, and resource needs, turning research priorities into training data, evaluations, and

Qualifications

• Bachelor\'s degree in Computer Science or related field or equivalent practical experience.
• 5 years of program management experience.

Responsibilities

• Organize and optimize post-training initiatives (SFT, RL, data, and evaluations) into clear goals, milestones, and release plans with research and engineering teams.
• Manage end-to-end project planning and cross-functional dependencies across data pipelines, evaluation platforms, compute, and external partners to align with Gemini model releases.
• Track progress, maintain program documentation, and proactively resolve technical and operational blockers across data and model development workflows.
• Evaluate technical proposals, understanding trade-offs, and translate complex modeling progress into clear, decision-ready updates for leadership and cross-functional audiences.
• Apply lightweight program methodologies to improve velocity and predictability while fostering a deep understanding of post-training, LLMs, and AGI research.

Skills

Program management

Stakeholder management

Communication

Ambiguity navigation

Education

Bachelor's degree in Computer Science or related field or equivalent practical experience

5 years of program management experience

Job description

Google is seeking a Technical Program Manager to lead multi-disciplinary engineering projects across Gemini releases. You will plan requirements with internal customers and guide projects through the entire lifecycle, including scheduling, risk identification, and clear updates to stakeholders.

Partner with researchers, engineers, product managers, and cross-functional teams to define scope, timelines, and resource needs, turning research priorities into training data, evaluations, and