G

Google

Runs Search and YouTube and builds Gemini AI

Lead Trust and Safety Analyst - Frontier Safety

Risk & ComplianceConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A bachelor's degree or equivalent practical experience.
  • At least 10 years of experience in data analytics, trust and safety, policy, cybersecurity, business strategy, or related fields.
  • Experience in SQL, building dashboards, data collection and transformation, and visualization or dashboards is preferred.
  • Experience working with Chemical, Biological, Radiological, or Nuclear (CBRN) and cyber threat risks in generative AI is preferred.
  • Experience in a scripting or programming language such as Python and machine learning is preferred.
  • Experience working with engineering and product teams to create tools, solutions, or automation to improve user safety is preferred.
  • Strong written and verbal presentation and communication skills, with the ability to influence cross-functionally at various levels, are preferred.

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.
  • Design, direct, and conduct complex red-teaming assessments to evaluate high-consequence capability uplift risks across Google's AI products.
  • Anchor CART's Frontier Safety red-teaming program across multi-quarter strategic horizons, partnering with sibling RAIT teams SCALE and Novel.
  • Calibrate automated product-surface evaluators (autoraters), evolve dynamic attack trees, define threat personas for multi-turn and agentic simulators, and lead Tier-1 product loss triage.

Desired Qualifications

  • A master's degree or PhD.

About the Company

Google

Runs Search and YouTube and builds Gemini AI

Google runs the world's most used search engine and free services such as YouTube, Android, and Gmail, and it builds the Gemini AI models that work inside them. In 2017, its researchers invented the transformer, the neural network design behind ChatGPT and most other AI chatbots. People use these services without paying, and Google earns most of its money from ads placed beside search results and YouTube videos. Businesses rent computing power and Gemini models through Google Cloud, and Google also sells subscriptions and Pixel phones. Larry Page and Sergey Brin founded Google in 1998 as Stanford PhD students; it is based in Mountain View, California, United States, and is the main business of parent company Alphabet.

Company size
10,001+
Company stage
IPO
Headquarters
Mountain View, CA
Founded
1998

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