Associate Principal Launch Governance Analyst, Frontier Safety

About the job

Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety.

Launch Governance and Operations (LGO) is a team within Google's Trust and Safety's (T&S) Responsible AI pillar. It's mission is to ensure Google products are developed safely and responsibly by managing responsibility risks and governance for model and product launches.

Your primary mission will be to ensure DeepMind and product teams can safely launch highly capable generative and agentic models with speed. You will drive critical governance processes and workflows that bridge Trust and Safety with DeepMind, providing leadership with clear visibility, risk evaluations, and readiness plans for all upcoming model launches.

US: $141000 - $205000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Design, implement and scale governance processes for new generative and agentic AI models and launches related to Frontier Safety.
• Act as a trusted partner to executive stakeholders, building strong relationships and providing clear, compelling communications on complex trust and safety issues.
• Partner with cross-functional teams, including product, engineering, and research, to embed safety and trust-oriented processes and technologies directly into the model and product development lifecycle.
• Design and execute sophisticated data analyses to identify emerging risks, measure the effectiveness of our mitigations, and inform decisions.
• Optimize and scale operational workflows, continuously seeking opportunities to improve efficiency and quality.

Qualifications

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 7 years of experience in data analytics, Trust and Safety, policy, cybersecurity, or related fields.

Preferred qualifications:

• Master's degree or PhD in relevant field.
• Experience with machine learning.
• Experience in SQL, building dashboards, data collection/transformation, visualization/dashboards, or experience in a scripting/programming language (e.g., Python).
• Excellent communication and presentation skills (written and verbal) and the ability to influence cross-functionally at various levels.

• Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.