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Technical Program Manager, Gemini Post-Training, Subagents

Google DeepMind · Mountain View, CA, USA

Frontier labonsitesenior$192k–$278k
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At a glance

Highlights

  • Lead end-to-end subagent programs delivering new Gemini model capabilities.
  • Turn research priorities into training data, evaluations and model milestones.
  • Advance subagents for complex long-running coding and research tasks.

What they offer

  • 20% bonus target
  • equity
  • benefits

Ideal candidate

Technical program leader who thrives in ambiguity and loves bridging research and engineering to ship frontier models. You are analytical, influential without authority, and motivated by turning complex agentic ideas into real Gemini capabilities.

Requirements

  • Bachelor's degree in a technical field or equivalent practical experience
  • 8 years of experience in program management
  • 8 years driving delivery with research scientists and software engineers on foundation models, agentic systems, or RL pipelines
  • Knowledge of software and ML development lifecycles and compute capacity planning
  • Experience managing complex, cross-functional dependencies
  • Strong stakeholder management, navigating ambiguity and aligning teams without direct authority
  • Analytical depth evaluating agentic trajectories and translating insights into data, harness, or RL interventions

Lab profile

About Google DeepMind

Google's AI lab building frontier models like Gemini to advance science and general intelligence.

What they build

  • Gemini
  • Gemma
  • AlphaFold

Known for

  • Frontier foundation models and GenAI
  • Large-scale training with JAX, PyTorch, TensorFlow
  • Model evaluation and deployment expertise
  • Responsible frontier AI research

Key facts

  • Founded in 2010
  • Headquartered in London, UK
  • Part of Google (Alphabet)
More about Google DeepMind →
Apply on the lab’s site ↗

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