Emerging Impacts Manager, Responsible Development and Innovation, DeepMind
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in AI ethics and safety within a governance, policy, legal, or research role.
- Experience leading end-to-end assessments of ethical and societal questions related to technology development, balancing risks and benefits across various applications.
Preferred qualifications:
- Master's degree or equivalent practical experience.
- Experience working with AI governance processes within a public or private institution.
- Experience communicating concepts to a range of collaborators, both in writing and executive presentations.
- Experience in product management, legal analysis, or other related fields.
- Experience focusing on technology/AI ethics and safety, and distilling impact analysis into insights.
- Experience with technical AI models and the broader ecosystem, synthesizing material into accessible formats, collaborating with interdisciplinary teams, and executive stakeholder management.
About the job
As an Emerging Impacts Manager, you will use your broad technical understanding, expertise on the societal implications of technology, and AI governance experience to deliver tangible, grounded, and forward-looking intelligence for teams across DeepMind; ultimately, you will advance our mission to develop Artificial General Intelligence (AGI) responsibly for the greater good of humanity.In this role, you will work with technical and operational teams at DeepMind to consider the potential downstream impacts of DeepMind’s research and its applications. You will ensure that our work is conducted in line with ethics and safety best practices, helping DeepMind to progress towards its mission. You will build on your technical knowledge of AI models across various domains to assess their safety performance and real-world impact, sharing analysis to advise various DeepMind stakeholders, including our Responsibility and Safety Council.Artificial intelligence will be one humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
The US base salary range for this full-time position is $212,000-$231,000 + 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
- Lead ethics and safety reviews of projects and engage early with model teams to assess downstream societal implications and navigate governance considerations.
- Collaborate closely with DeepMind safety communities and broader teams to inform model policy, prepare for emerging AI capabilities, and refine assessment frameworks through monitoring real-world impact.
- Design and run engagement models, such as workshops and external expert consultations, to address ethics and safety issues and identify new research areas.
- Develop and document best practices for DeepMind projects by working with internal experts and external organizations.
- Support the Responsibility and Safety Council by frequently presenting project assessments and communicating with executive stakeholders.
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