Technical Program Manager, Responsibility
Google DeepMind · London, UK
Frontier labonsiteSenior
At a glance
Highlights
- Lead end-to-end delivery of CBRNE evaluation pipelines and mitigations.
- Drive red-teaming across the model lifecycle for frontier AI safety.
- Translate ambiguous scientific milestones into clear technical roadmaps.
Ideal candidate
A technically grounded program leader who thrives in ambiguity and unites scientists and engineers. You care deeply about safe, responsible AI and turning complex risks into clear action.
Requirements
- Bachelor's degree in Computer Science, Engineering, Biology, Chemistry, Physics, related field or equivalent experience
- 7 years of experience in technical program management, software engineering, or research engineering
- 3 years of experience partnering with research or engineering leads to deliver AI/ML programs, evaluation suites, or safety frameworks
- Master's degree or PhD in Computer Science, Machine Learning, Biosecurity, Chemistry, or related discipline
- Experience in frontier AI safety, red-teaming, threat modeling, or dangerous capability evaluations for LLMs and agents
- Experience in a frontier AI lab, national laboratory, government defense, or biosecurity research institution
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)
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