Research Strategist, Emerging Impacts Team

Research Strategist, Emerging Impacts Team, DeepMind

• linkCopy link
• emailEmail a friend

corporate_fare DeepMind place Mountain View, CA, USA ; New York, NY, USA Apply

• linkCopy link
• emailEmail a friend
info_outline X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA .


Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 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.
• Experience working with AI governance processes within a public or private institution.
• Experience with technical AI models and the broader ecosystem, synthesizing material into accessible formats, collaborating with interdisciplinary teams, and executive stakeholder management.
• Experience focusing on technology/AI ethics and safety, and distilling impact analysis into insights.
• Experience in product management, legal analysis, or other related fields.
• Experience communicating concepts to a range of collaborators, both in writing and executive presentations.

About the job

As an Emerging Impacts Manager, you will 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 of 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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $295000 - $329000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google .

Responsibilities

• Support the responsibility and safety council by frequently presenting project assessments and communicating with executive stakeholders.
• Develop and document best practices for DeepMind projects by working with internal experts and external organizations.
• Design and run engagement models, such as workshops and external expert consultations, to address ethics and safety issues and identify new research areas.
• 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.
• Lead ethics and safety reviews of projects and engage early with model teams to assess downstream societal implications and navigate governance considerations.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.