Senior Principal Analyst, Search, Trust and Safety

Google
Sunnyvale, CA, USA

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.

Responsibilities

Lead a team responsible for delivering safety strategy for generative AI launches, ensure achievement of business outcomes and objectives.

Test critical areas that are important for the business, make recommendations for business processes.

Lead decision-making for organizational strategies, identifying trends and opportunities for people initiatives, workforce drives and experience.

Work across user-centric issues in search results that prevent user harm, financial fraud, and identity theft such as non consensual explicit images, involuntary fake pornography, exploitative removal practices, doxxing, etc.

Lead with ability to pivot in the fluid environment, coordinating and providing a consolidated view of risks and mitigations across the various pillars of the launch (policy, testing, features) to the cross-functional group and leadership.

Perform on-call responsibilities on a rotating basis, including weekend coverage/holidays.

Qualifications

Minimum

Bachelor's degree or equivalent practical experience.

13 years of experience in data analytics, Trust and Safety, policy, cybersecurity, business strategy, or related fields.

Preferred

Master's or PhD degree in a relevant field.

Experience with machine learning.

Experience working with engineering and product teams to create tools, solutions, or automation to improve user safety.

Experience working with policy teams.

Experience in SQL, building dashboards, data collection/transformation, visualization/dashboards, and knowledge of a scripting/programming language (e.g., Python).

Excellent problem-solving and critical thinking skills with attention to detail in a fluid environment.