Post-Training Technical Program Manager, Data Governance
Google DeepMind · Mountain View, CA, USA
Frontier labonsitesenior$192k–$278k
At a glance
Highlights
- Own end-to-end training data compliance for Gemini post-training mixtures.
- Automate dataset lineage auditing to streamline compliance reviews.
- Lead model and data card execution for rapid, safe product launches.
What they offer
- 20% bonus target
- equity
- benefits
Ideal candidate
A program leader who thrives in ambiguous research settings, uniting Research, Legal and Safety partners to ship AI rapidly and responsibly. You care deeply about data integrity, governance, and turning policy into practical workflows.
Requirements
- Bachelor's degree in a technical field or equivalent practical experience
- 8 years of experience in program management
- 8 years of experience managing cross-functional or cross-team projects
- Experience translating legal, privacy, safety, or regulatory requirements into engineering workflows and controls
- Experience in technical program management, data engineering, or ML systems leading complex programs
- Ability to thrive in ambiguous research environments and align teams without direct authority
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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