Senior Staff Technical Program Manager for Safety and Privacy, GeminiApp
Google DeepMind · Mountain View, CA, USA · New York, NY, USA
CHECKED 23H AGO
Frontier labonsitesenior staff$300k–$333k
At a glance
Highlights
- Co-design safety mitigations with modeling teams for responsible-by-design AI.
- Build universal AI assistant used billions of times to boost productivity.
- Synthesize safety, privacy, security into unified multi-modal monitoring flywheel.
What they offer
- 25% bonus target
- equity
- benefits
Ideal candidate
Empathetic technical leader with 10+ years driving complex programs who thrives in high-velocity environments and cares deeply about building trustworthy, responsible AI at global scale.
Requirements
- Bachelor's degree in a technical field or equivalent practical experience
- 10 years of experience in technical program or project management
- 7 years of experience in leadership roles with/without direct reports
- Experience evaluating or fine-tuning LLMs for specific product use cases
- Track record in trust and safety, privacy, data governance, or cybersecurity in high-scale consumer tech or enterprise SaaS
- Deep understanding of modern data privacy frameworks (GDPR, CCPA) and complex data architecture
- Understanding of LLMs, NLP, conversational AI principles, and model evaluation techniques
- Ability to translate complex legal and ethical requirements into clear engineering specifications
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)