Model Launch Specialist, Responsible AI
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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.
- 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.
Preferred qualifications:
- Master's degree or PhD in a related field.
- Experience in an operational role within the Trust and Safety or AI/ML domain.
- Experience working with product teams to measure risks and design mitigations.
- Knowledge of ethics and socio-technical considerations of technology and the future of AI.
- Ability to query and analyse large datasets, and convey insights to an executive audience to inform decisions.
- Excellent written and verbal communication, problem-solving and critical thinking skills, with the ability to convey complex technical information to a variety of audiences.
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 Trust and Safety Launch Governance and Operations (LGO) team is a critical function that accelerates Google's launch velocity by delivering predictable, principle-driven responsibility governance workflows. We operate at the intersection of innovation and safety, evaluating risks and strategic opportunities for new products and features. We ensure development teams are equipped with the knowledge of Google's AI Principles and responsibility standards and have the tools to implement them early in the development life-cycle. LGO provides transparent, streamlined workflows for model launches, documenting evaluations and mitigations that directly inform product-level responsibility decisions. Finally, we build reporting infrastructure to provide stakeholders with the snapshots and briefings necessary to ensure a coordinated, responsible market entry for launches.
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.
The US base salary range for this full-time position is $160,000-$237,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Develop and implement governance processes for new generative and agentic AI models.
- Act as a trusted partner to stakeholders, building strong relationships and providing clear, compelling communications on complex trust and safety issues.
- 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.
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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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