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Model Launch Specialist, Responsible AI

Google

$160,000 - $237,000
Oct 1, 2025
Mountain View, CA, US
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Google's Trust & Safety team is tasked with identifying and addressing the most significant challenges to the safety and integrity of its products. The Trust and Safety Launch Governance and Operations (LGO) team specifically aims to accelerate Google's launch velocity by providing predictable, principle-driven governance workflows for new products and features, ensuring they are developed and launched responsibly, adhering to Google's AI Principles and responsibility standards.

Requirements

  • Experience in Machine Learning and Generative AI concepts, technologies (e.g., large language models, Vertex AI), and their practical applications.
  • Experience in data analytics tools and quantitative methodologies.
  • Ability to query and analyse large datasets, and convey insights to an executive audience to inform decisions.

Responsibilities

  • Develop and implement governance processes for new generative and agentic AI models.
  • Partner with cross-functional teams, including product, engineering, and research, to embed responsible processes and technologies directly into the model development lifecycle.
  • Design and execute data analyses to identify emerging risks, measure the effectiveness of our mitigations, and inform strategic decisions.
  • Optimize and scale operational workflows, continuously seeking opportunities to improve efficiency and quality.
  • Evaluate risks and strategic opportunities for new products and features.
  • Build reporting infrastructure to provide stakeholders with the snapshots and briefings necessary to ensure a coordinated, responsible market entry for launches.

Other

  • 10 years of experience in data analytics, Trust and Safety, policy, cybersecurity, business strategy, or related fields.
  • Act as a trusted partner to stakeholders, building strong relationships and providing clear, compelling communications on complex trust and safety issues.
  • Knowledge of ethics and socio-technical considerations of technology and the future of AI.
  • Excellent written and verbal communication, problem-solving and critical thinking skills, with the ability to convey complex technical information to a variety of audiences.
  • Experience in an operational role within the Trust and Safety or AI/ML domain.