Google

Principal Analyst, Trust and Safety Trusted Experiences, GenAI

Mountain View, CA, USA · Principal

Sponsorship not specified$171k-$248kDetected 5 hours ago

PythonSQLMachine LearningData AnalysisCommunicationProblem Solving

About the role

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.

Anticipate and prioritize risks and opportunities, design and deliver an end-to-end testing strategy, analyze results with clarity and drive accountability for designing and implementing mitigation and post-launch monitoring.
Act as a trusted partner in a fluid environment, coordinating and providing a consolidated view of risks and mitigation across all launch pillars (e.g., policy, testing, features) to cross-functional partners and leadership.
Perform on-call responsibilities on a rotating basis. Review graphic, controversial, or upsetting content.

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

Master's or PhD in relevant field.
Experience working closely with policy teams.
Excellent communication and presentation skills (written and verbal) and the ability to influence cross-functionally at various levels.
Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products.
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.
Trust & Safety is Google's team of abuse fighting and user trust experts working daily to make the internet a safer place.
Review graphic, controversial, or upsetting content.

Drive the strategy to support the safe launch of GenerativeAI model or feature launches with a focus on Text Models, Model Personalization and Model Governance, and Health/Mental Health.

This listing is sourced directly from Google's careers page and normalized into a canonical job model.