Principal Model Launch Specialist Responsible AI @ Google
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Job Details
Overview
The Principal Model Launch Specialist Responsible AI role at Google focuses on governance and operational workflows for new generative AI models. Candidates must have extensive experience in data analytics, Trust and Safety, policy, cybersecurity, and AI/ML operations.
Minimum and Preferred Qualifications
Minimum qualifications: Bachelor's degree or equivalent practical experience; 13 years in related fields including data analytics, Trust and Safety, policy, cybersecurity, business strategy; 3 years with Generative AI, Large Language Models (LLMs), Machine Learning frameworks; experience in quantitative methodologies.
Preferred qualifications: Master's or PhD; operational experience in Trust and Safety or AI/ML; strong background in product team collaborations and risk mitigation; knowledge of ethics and socio-technical considerations; proven thought leadership and excellent communication skills.
About the Role
In this role, you will partner with cross-functional teams to design and implement governance processes for generative AI. You will be responsible for:
- Developing responsible AI governance and launch processes.
- Building trusted relationships with executive stakeholders.
- Collaborating with product, engineering, and research teams.
- Executing sophisticated data analyses for risk evaluation.
- Optimizing operational workflows for enhanced efficiency.
Team and Culture
The role is part of Google's Trust & Safety Launch Governance and Operations team. This team works on global challenges to protect users and partners, ensuring the safe launch of innovative products. The environment emphasizes transparency, responsibility, and cross-functional collaboration.
Compensation & Benefits
The US base salary range is $206,000-$289,000, with additional bonus, equity, and benefits provided. Compensation varies by location and individual qualifications.
Key skills/competency
- Data Analytics
- Trust and Safety
- Generative AI
- Large Language Models
- Machine Learning
- Governance
- Operational Workflows
- Risk Analysis
- Product Collaboration
- Executive Communication
How to Get Hired at Google
🎯 Tips for Getting Hired
- Customize your resume: Highlight AI governance and analytics expertise.
- Emphasize cross-functional work: Show collaboration in product and technical teams.
- Research Google culture: Understand trust and safety priorities.
- Prepare for data-driven questions: Practice risk management and analysis discussions.