Lead Analyst, Frontier Safety
Confirmed on the employer's own hiring board on Oct 23, 2026. First seen by Alion on Oct 23, 2026. Google scores B on the Alion truth index.
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.The Content Adversarial Red Team (CART) in Trust and Safety conducts adversarial testing of Google’s Generative AI models, product surfaces, and autonomous agents to uncover vulnerabilities, jailbreaks, and emerging catastrophic risks not identified in standard evaluations.
In this Lead Trust and Safety Analyst role, you will serve as the Senior Dual-Domain Frontier Safety (FS) Analytic Expert (CBRN and Cyber) and evaluation lead. Bringing deep subject-matter expertise in Frontier Safety threats, you will design, direct, and conduct complex red-teaming assessments to evaluate high-consequence capability uplift risks across Google's AI products. Operating with high autonomy across multi-quarter strategic horizons, you will anchor CART's Frontier Safety red-teaming program (~70%) while partnering with sibling RAIT teams (SCALE and Novel) (~30%).
In this collaboration, you will calibrate automated product-surface evaluators (autoraters), evolve dynamic attack trees, define threat personas for multi-turn/agentic simulators, and lead Tier-1 product loss triage. At Google we work hard to earn our users’ trust every day. Trust & Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $171000 - $247000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Design and execute complex red-teaming assessments to identify critical CBRN and cyber capability uplift risks across generative AI products.
- Partner with Engineering, Research, and Policy teams to translate red-teaming findings into robust product mitigations and safety guardrails.
- Collaborate with sibling RAIT teams to develop autoraters, dynamic attack trees, and threat personas for agentic simulators.
- Direct specialized external vendors and subject-matter experts to scale testing and ensure high-signal threat intelligence.
- Present frontier safety findings, risk assessments, and evaluation frameworks to executive leadership and external stakeholders. Work with sensitive content or situations and may be exposed to graphic, controversial, or upsetting topics or content.
Qualifications
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 10 years of experience in data analytics, trust and safety, policy, cybersecurity, business strategy, or related fields.
Preferred qualifications:
- Master's degree or PhD.
- Experience in SQL, building dashboards, data collection/transformation and visualization/dashboards.
- Experience working with Chemical, Biological, Radiological, or Nuclear (CBRN) and Cyber threat risks in GenAI.
- Experience in a scripting/programming language (e.g., Python) and machine learning.
- Experience working with engineering and product teams to create tools, solutions, or automation to improve user safety.
- Excellent presentation and communication skills (written and verbal) with the ability to influence cross-functionally at various levels.