Artificial intelligence is rapidly transforming economies, governments, industries, scientific research, and everyday life. As increasingly capable AI systems are developed and deployed, there is growing demand for professionals who understand how advanced AI can be governed responsibly while enabling innovation.
Google DeepMind is seeking an experienced Governance Manager, Frontier AI Safety and Policy to help shape governance frameworks, safety standards, regulatory approaches, government evaluation protocols, and external oversight mechanisms for frontier artificial intelligence systems.
This is a senior-level opportunity for a professional with substantial experience in public policy, national security, AI governance, or the artificial intelligence industry, combined with specific experience in frontier AI safety and governance.
The successful candidate will have the opportunity to work from either London, United Kingdom, or Washington, D.C., United States, subject to the working-location arrangements associated with the position.
Governance Manager, Frontier AI Safety and Policy – Google DeepMind
The Governance Manager will operate at the intersection of artificial intelligence, public policy, safety, security, regulation, international standards, and risk management.
Google DeepMind describes AI as one of humanity’s most transformative technologies and emphasizes the importance of developing advanced AI responsibly. The role is therefore designed for an experienced professional capable of helping translate emerging AI governance expectations into practical internal processes while also contributing to external standards and oversight frameworks.
The position involves substantial engagement with governments, international standards organizations, industry coalitions, technical experts, auditors, and other stakeholders involved in the governance of advanced AI.
Opportunity Details
- Organization: Google DeepMind
- Position: Governance Manager, Frontier AI Safety and Policy
- Opportunity category: Job
- Career area: AI Governance, Public Policy, AI Safety and Security
- Work locations: London, United Kingdom; Washington, D.C., United States
- Level: Experienced/Senior professional
- Minimum education: Bachelor’s degree or equivalent practical experience
- Minimum professional experience: 7 years in public policy, national security, or the AI industry
- Frontier AI experience: At least 3 years focused on frontier AI safety and governance
- Language: English proficiency is required unless otherwise stated
- United States compensation: $188,000–$205,000 USD plus a 15% target bonus
- Deadline: No specific application deadline is provided in the supplied vacancy information. Applicants should therefore check the official vacancy page and apply while the position remains open.
What Is the Governance Manager, Frontier AI Safety and Policy Role About?
The role focuses on developing and influencing governance systems for increasingly capable AI models.
As frontier AI systems become more powerful, organizations need effective mechanisms for assessing their risks, establishing technical and governance standards, responding to incidents, working with governments, and ensuring that safety practices are integrated into the development and deployment lifecycle.
The Governance Manager will help address these challenges by connecting external developments in AI governance with Google’s internal safety and security functions.
This makes the position particularly relevant to professionals who have worked across areas such as:
- AI policy and regulation
- Frontier AI safety
- Technology governance
- National security
- Public policy
- AI risk management
- Technical standards
- Government relations
- Regulatory affairs
- AI auditing and assurance
- Incident disclosure frameworks
- International governance
- Responsible AI
- AI security
Minimum Qualifications
Applicants are expected to meet several core requirements before being considered for the position.
1. Bachelor’s Degree or Equivalent Practical Experience
Candidates must have a Bachelor’s degree or equivalent practical experience.
The vacancy does not restrict applicants to a particular undergraduate discipline. Relevant academic backgrounds may include fields such as public policy, international relations, political science, law, computer science, technology policy, national security, economics, engineering, or other disciplines connected to AI governance and policy.
Equivalent practical experience may also be considered where applicable.
2. At Least Seven Years of Relevant Professional Experience
Candidates need seven years of experience in public policy, national security, or within the AI industry.
This requirement demonstrates that the role is intended for an established professional rather than an entry-level applicant.
Relevant experience could potentially include work involving:
- Government policy
- Technology regulation
- National security policy
- AI industry strategy
- AI governance
- Public-sector technology policy
- Regulatory affairs
- International technology standards
- AI safety policy
- Government relations
- Risk and compliance
- Emerging technology policy
Applicants should clearly demonstrate the connection between their previous work and the responsibilities of a frontier AI governance position.
3. Three Years Focused on Frontier AI Safety and Governance
In addition to the broader seven-year experience requirement, applicants need at least three years of experience specifically focused on frontier AI safety and governance.
This is an important distinction.
General technology experience alone may not be sufficient. Candidates should be able to demonstrate meaningful professional involvement in questions surrounding the safety, governance, oversight, regulation, evaluation, or risk management of highly capable AI systems.
Preferred Qualifications
Google DeepMind also identifies several additional experiences that could strengthen an application.
Experience Connecting AI Safety and Internal Risk Management
Candidates with experience connecting AI safety best practices with internal risk management systems may be particularly well suited to the role.
This could involve developing organizational processes that identify AI-related risks, establishing safeguards, coordinating risk assessments, or integrating safety requirements into product and technology decision-making.
Experience With Third-Party Testing and Auditing
Experience designing, negotiating, or managing third-party testing protocols, incident disclosure frameworks, or auditing regimes is another desirable qualification.
This is significant because external evaluation and independent oversight can play an important role in establishing confidence in advanced AI systems.
Candidates with experience working with external evaluators, auditors, testing organizations, regulators, or government assessment programs may therefore have relevant expertise.
Experience Developing Technical and Governance Standards
The organization is also interested in professionals who have a track record of drafting, negotiating, or influencing technical and governance standards.
Applicants should emphasize occasions where they contributed to:
- Technical standards
- Governance frameworks
- Industry standards
- Regulatory frameworks
- Policy guidelines
- International agreements
- Risk-management standards
- AI safety protocols
Where possible, candidates should explain their individual contribution and the outcome of the work rather than simply listing standards-related responsibilities.
High-Trust International AI Safety Network
Another preferred qualification is an established, high-trust network of global AI safety contacts.
The vacancy specifically highlights relationships involving senior government officials, think tanks, and technical policy experts in major AI policy markets, particularly:
- United States
- United Kingdom
- European Union
This suggests that stakeholder engagement and trusted relationships will be an important part of the position.
Key Responsibilities
The Governance Manager will have a broad range of responsibilities involving international standards, government evaluations, incident reporting, internal safety practices, and external oversight.
1. Engage With International Standards Bodies
One of the responsibilities is engaging with international standards organizations such as ISO and INCITS, as well as industry coalitions including the Frontier Model Forum (FMF).
The objective is to contribute to the development of technical benchmarks and best practices for advanced AI.
This means the successful candidate may participate in discussions about how frontier AI systems should be evaluated, governed, tested, and monitored.
The role therefore requires someone who can understand complex technical and policy discussions and translate them into practical governance outcomes.
2. Establish Government Model-Evaluation Protocols
The position involves establishing and overseeing steady-state protocols for unclassified and classified government model evaluations.
Government evaluation of advanced AI systems can involve highly sensitive information and complex institutional requirements.
The Governance Manager will therefore need to understand how evaluation frameworks can be structured and maintained while addressing security, confidentiality, safety, and governance considerations.
3. Develop Cross-Border Incident Disclosure Frameworks
Another major responsibility involves negotiating frameworks for cross-border incident disclosure.
As AI systems operate across jurisdictions, AI-related incidents may have implications for multiple countries and regulatory environments.
The Governance Manager will help establish approaches for determining how relevant incidents are disclosed and coordinated internationally.
This requires strong negotiation skills, knowledge of regulatory environments, and an understanding of how different jurisdictions approach AI safety and security.
4. Connect External Regulation With Internal AI Safety Teams
The successful candidate will act as a bridge between external regulatory developments and internal safety and security teams.
This is one of the central features of the position.
AI regulations, standards, government policies, and industry expectations are continually evolving. The Governance Manager will need to understand these developments and translate them into practical internal processes.
This may involve:
- Monitoring regulatory developments
- Interpreting emerging standards
- Advising internal stakeholders
- Coordinating with safety teams
- Supporting compliance planning
- Translating policy requirements into operational practices
- Helping inform AI system launch decisions
5. Shape External Oversight Policies
The role also involves helping establish policies for external oversight of advanced AI systems.
This includes defining:
- Auditor criteria
- Access protocols
- External evaluation requirements
- Oversight mechanisms
- Positions on regulatory regimes
The successful candidate will therefore contribute to how external organizations and independent experts can assess advanced AI systems.
Why This Google DeepMind Opportunity Is Significant
The Governance Manager position is particularly significant because AI governance is becoming an increasingly important area of technology policy.
Governments and international organizations are developing new approaches to the regulation and oversight of artificial intelligence. At the same time, AI companies are establishing internal safety frameworks and participating in international discussions about standards and responsible development.
A professional in this position can therefore contribute to decisions that influence how frontier AI systems are evaluated and governed.
The role combines several disciplines that are traditionally separate, including:
- Artificial intelligence
- Public policy
- National security
- International relations
- Technical standards
- Risk management
- Regulatory affairs
- AI safety
- Government engagement
- Corporate governance
This makes it a particularly specialized career opportunity.
Salary and Compensation
For the United States location, the vacancy lists a compensation range of:
$188,000 to $205,000 USD, plus a 15% target bonus.
The exact compensation offered to an individual may depend on factors including job-related skills, professional experience, education, training, and other relevant considerations.
The supplied vacancy information does not provide a separate salary figure for the London location.
Google also provides employee benefits, with details available through its careers resources.
Applicants should review the official employment terms and benefits information applicable to their selected working location.
Work Locations
Applicants are given the opportunity to indicate their preferred working location between:
London, United Kingdom
London is one of the world’s major centers for technology policy, financial services, international organizations, government relations, and AI research.
The location can be particularly relevant to professionals working across European AI regulation and international technology governance.
Washington, D.C., United States
Washington, D.C. is a major center for government, national security, public policy, technology regulation, and international affairs.
The location may therefore be particularly relevant for professionals whose experience includes U.S. government policy, national security, AI regulation, or technology governance.
Applicants should indicate their preferred location according to the arrangements specified in the vacancy.
Who Should Apply?
This opportunity is best suited to experienced professionals rather than recent graduates.
Potential applicants may include professionals working in:
- AI governance
- AI safety policy
- Technology policy
- Public policy
- National security
- Government affairs
- Regulatory affairs
- AI risk management
- Responsible AI
- Technology standards
- International technology policy
- AI auditing and assurance
- Emerging technology governance
- AI industry policy
Candidates should be able to demonstrate substantial professional experience and, importantly, specialized experience relating to frontier AI safety and governance.
How to Strengthen Your Application
Because this is a highly specialized senior position, applicants should avoid submitting a generic CV.
1. Highlight Frontier AI Experience
Your CV should clearly identify your experience with frontier AI safety and governance.
Do not simply state that you have worked in technology. Explain your specific involvement in AI safety, governance, regulation, evaluation, risk, or standards.
2. Demonstrate Policy Impact
Where possible, quantify or explain the impact of your work.
For example, identify:
- Policies you helped develop
- Standards you influenced
- Regulatory frameworks you contributed to
- Government stakeholders you engaged
- AI safety programs you helped establish
- Auditing or testing frameworks you managed
- International initiatives you supported
3. Emphasize Cross-Sector Collaboration
The position requires interaction with governments, technical experts, industry groups, standards organizations, auditors, and internal teams.
Your application should therefore demonstrate your ability to work effectively across sectors and disciplines.
4. Showcase Negotiation Skills
Negotiation is particularly relevant to the responsibilities involving incident disclosure frameworks, standards, government evaluations, and external oversight.
Provide concrete evidence of situations in which you successfully negotiated complex policy or governance matters.
5. Demonstrate International Experience
The position has a strong international dimension.
Applicants should highlight experience involving multiple countries, international organizations, multinational stakeholders, or cross-border technology governance where applicable.
6. Explain Technical Policy Expertise Clearly
Applicants do not necessarily need to be AI researchers, but they should be capable of engaging meaningfully with technical AI safety and governance discussions.
Your CV and application materials should demonstrate that you can understand technical issues and translate them into policy and governance decisions.
English Language Requirement
Google states that English proficiency is required for all roles unless otherwise stated in the job posting.
Applicants should therefore be able to communicate effectively in English in professional, policy, technical, and stakeholder-facing environments.
Equal Employment Opportunity
Google states that it is committed to equal employment opportunity and a workforce that represents the users it serves.
The organization’s stated employment policy covers a broad range of protected characteristics and prohibits discrimination on protected grounds under applicable law.
Applicants who require accommodation during the recruitment process can use Google’s designated accommodation process.
Important Recruitment Information
Google also provides several important instructions for candidates and recruitment agencies.
Recruitment Agencies
The company states that it does not accept agency CVs and asks recruitment agencies not to forward unsolicited CVs to Google employees or recruitment addresses.
Applicant Privacy
Information submitted through a Google Careers profile and job application is subject to Google’s applicant and candidate privacy policies.
Applicants should review the relevant privacy information before submitting their personal information.
Deadline
No specific closing date is stated in the job information provided.
Because vacancies can close when hiring requirements are met, interested candidates should not assume that the position will remain available indefinitely.
Applicants should verify the current status of the vacancy on the official Google Careers platform before preparing and submitting their application.
How to Apply
Interested professionals should apply through the official Google Careers recruitment system and carefully review the vacancy requirements before submitting an application.
Applicants should ensure that their CV accurately reflects their professional history, AI governance experience, policy expertise, and relevant achievements.
Frequently Asked Questions
What is the Governance Manager, Frontier AI Safety and Policy position?
It is a senior professional role at Google DeepMind focused on frontier AI governance, safety policy, regulatory developments, technical standards, government evaluations, incident disclosure, and external oversight.
Where is the position based?
The listed working locations are London, United Kingdom, and Washington, D.C., United States. Applicants have the opportunity to share their preferred working location.
What degree is required?
A Bachelor’s degree or equivalent practical experience is required.
How much professional experience is required?
Candidates need at least seven years of experience in public policy, national security, or the AI industry, including three years focused on frontier AI safety and governance.
Is AI governance experience important?
Yes. Frontier AI safety and governance experience is specifically identified as a minimum qualification, making it a central requirement rather than simply a preferred skill.
Is the opportunity open to recent graduates?
No. The experience requirements indicate that this is an experienced/senior-level position requiring substantial professional experience.
What is the U.S. salary?
The listed U.S. compensation is $188,000–$205,000 USD plus a 15% target bonus. Individual compensation may vary according to relevant factors.
Is there an application deadline?
No specific deadline is provided in the vacancy information supplied. Candidates should apply as soon as possible while the position remains open.
Can international professionals apply?
The vacancy is associated with London and Washington, D.C., and eligibility will depend on the applicable employment and work-authorization requirements for the selected location. Applicants outside the United States and United Kingdom should carefully review the official vacancy’s location and authorization requirements before applying.
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Conclusion
The Governance Manager, Frontier AI Safety and Policy position at Google DeepMind represents a highly specialized career opportunity for an experienced professional working at the intersection of artificial intelligence, safety, public policy, national security, regulation, and governance.
The successful candidate will help shape how advanced AI systems are evaluated and governed by engaging with international standards bodies, governments, industry coalitions, technical policy experts, auditors, and internal safety teams.
The position requires a strong professional foundation, including at least seven years of relevant experience and three years specifically focused on frontier AI safety and governance. Candidates with additional experience in AI risk management, third-party testing, auditing, incident disclosure, technical standards, regulatory policy, and international AI safety networks may be particularly competitive.
With working-location options in London or Washington, D.C., and a U.S. compensation range of $188,000–$205,000 plus a 15% target bonus, this opportunity is particularly relevant to established professionals seeking to contribute to the governance of increasingly capable artificial intelligence.
Since no specific application deadline is provided, qualified professionals should review the official Google Careers listing and consider applying promptly while the vacancy remains open.
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