Technical Program Manager, Gemini Post-Training, Knowledge Work
Google DeepMind · Mountain View, CA, USA · New York, NY, USA
Frontier labonsite$163k–$236k
At a glance
Highlights
- Lead post-training initiatives shaping future Gemini model releases.
- Turn research priorities into training data, evaluations, and milestones.
- Partner across research and engineering to advance AI for global impact.
What they offer
- 15% bonus target
- Equity
- Benefits
Ideal candidate
Experienced technical program manager who thrives in ambiguity and loves turning cutting-edge AI research into shipped impact. Collaborative communicator who aligns researchers and engineers toward ambitious Gemini goals.
Requirements
- Bachelor's degree in Computer Science or related technical field or equivalent practical experience
- 5 years of experience in program management
- 8 years of program management experience delivering end-to-end projects with research and engineering teams
- Familiarity with LLM post-training lifecycle including training data pipelines, SFT, RL, and model evaluation
- Proven skill navigating ambiguity and adapting strategies as research conditions change
- Strong communication and stakeholder management skills to align technical and product teams
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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