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Manager Ai Safety Jobs (NOW HIRING)

Manager, AI Safety and Security Policy

Washington, DC ยท On-site

$121K - $131K/yr

Manager, AI Safety and Security Policy Full-time, 1-year termed FAS staff position with benefits Washington, DC | Hybrid To Sum It Up... What's the "elevator pitch" for the role? FAS is expanding its ...

Manager, AI Safety and Security Policy

Washington, DC ยท On-site

$122K - $131K/yr

Manager, AI Safety and Security Policy Full-time, 1-year termed FAS staff position with benefits Washington, DC | Hybrid To Sum It Up... What's the "elevator pitch" for the role? FAS is expanding its ...

Manager, AI Safety and Security Policy

Washington, DC ยท On-site

$122K - $131K/yr

Manager, AI Safety and Security Policy Full-time, 1-year termed FAS staff position with benefits Washington, DC | Hybrid To Sum It Up... What's the "elevator pitch" for the role? FAS is expanding its ...

The Center for AI Safety (CAIS) is a leading research and advocacy organization focused on ... We're seeking a highly skilled Program Manager who is excited by our mission to develop and promote ...

Program Manager

San Francisco, CA ยท On-site

$110K - $150K/yr

The Center for AI Safety (CAIS) is a leading research and advocacy organization focused on ... We're seeking a highly skilled Program Manager who is excited by our mission to develop and promote ...

Operations Manager

San Francisco, CA ยท On-site

$110K - $150K/yr

Manage technical set-up & maintenance of internal hardware and software systems * Support the HR ... Are motivated by work that is focused on AI safety and risk * Have previous experience (2-4 years ...

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Manager Ai Safety information

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$37K

$86K

$136.5K

How much do manager ai safety jobs pay per year?

As of Jun 12, 2026, the average yearly pay for manager ai safety in the United States is $85,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,500.00 and $102,500.00 per year, depending on experience, location, and employer.

How much does AI safety pay?

AI safety managers typically earn between $100,000 and $180,000 annually, depending on experience, location, and the size of the organization. Senior roles or those with specialized skills in machine learning, ethics, or safety protocols can command higher salaries, often exceeding $200,000 with bonuses and benefits.

Is AI safety a good career?

AI Safety as a career involves developing methods to ensure artificial intelligence systems operate reliably and ethically. It requires skills in machine learning, programming, and ethics, often involving research roles or engineering positions. The field is growing due to increasing AI deployment and concerns about safety and alignment.

What are Manager AI Safety roles?

Manager AI Safety roles involve overseeing teams and projects that ensure artificial intelligence systems are safe, ethical, and aligned with organizational and societal values. Managers in this field coordinate research, implement safety protocols, and ensure compliance with regulations and industry standards. They often collaborate with data scientists, engineers, and policy experts to identify risks and develop strategies to mitigate them. Additionally, they may be responsible for educating stakeholders about AI safety and leading incident response when issues arise.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, AI director, or chief AI officer, often requiring advanced skills in machine learning, deep learning, and data analysis. These roles usually involve leadership, strategic planning, and expertise in AI tools and frameworks, with compensation reflecting experience and impact on organizational goals.

What is the difference between Manager Ai Safety vs Data Scientist?

AspectManager Ai SafetyData Scientist
Required CredentialsBachelor's or master's in AI, Computer Science, or related fields; experience in AI safetyBachelor's or master's in Data Science, Statistics, or related fields; programming skills
Work EnvironmentFocus on AI safety protocols, risk mitigation, cross-team collaborationData analysis, model development, statistical modeling
Industry UsageTech companies, AI research labs, organizations focusing on safe AI deploymentTech firms, research institutions, data-driven industries

The main difference is that Manager Ai Safety oversees AI safety initiatives, risk management, and team coordination, while Data Scientists focus on analyzing data, building models, and deriving insights. Both roles require technical expertise, but their focus areas and responsibilities differ significantly.

What are the key skills and qualifications needed to thrive as a Manager AI Safety, and why are they important?

To thrive as a Manager AI Safety, you need a strong background in computer science, machine learning, risk assessment, and ideally an advanced degree in a relevant field. Familiarity with AI safety frameworks, programming languages like Python, and tools such as TensorFlow or PyTorch, as well as understanding of compliance standards, is typically required. Excellent leadership, communication, and critical thinking skills help you guide teams and clearly articulate complex technical risks to stakeholders. These competencies are crucial for ensuring the development and deployment of safe, ethical AI systems that align with organizational and societal values.

What are some common challenges faced by a Manager in AI Safety, and how can they be addressed?

One common challenge for a Manager in AI Safety is balancing the rapid pace of AI development with the need to implement thorough safety protocols and risk assessments. This often requires close collaboration with cross-functional teams, including researchers, engineers, and legal experts, to ensure that safety considerations are integrated at every stage of a project. Additionally, staying current with evolving regulations and ethical standards can be demanding, so continuous learning and fostering a culture of open communication are essential. Proactively addressing these challenges helps ensure responsible AI deployment and long-term career growth in this emerging field.

What is the salary of AI manager?

The salary of an AI manager typically ranges from $100,000 to $180,000 annually, depending on experience, location, and industry. Senior AI managers with specialized skills or certifications can earn higher compensation, often exceeding $200,000.
More about Manager Ai Safety jobs
What cities are hiring for Manager Ai Safety jobs? Cities with the most Manager Ai Safety job openings:
What are the most commonly searched types of Ai Safety jobs? The most popular types of Ai Safety jobs are:
What states have the most Manager Ai Safety jobs? States with the most job openings for Manager Ai Safety jobs include:
What job categories do people searching Manager Ai Safety jobs look for? The top searched job categories for Manager Ai Safety jobs are:
Infographic showing various Manager Ai Safety job openings in the United States as of June 2026, with employment types broken down into 84% Full Time, 14% Part Time, 1% Temporary, and 1% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $85,971 per year, or $41.3 per hour.

Senior Manager, AI Safety and Security Policy

FAS

Washington, DC โ€ข On-site

$122K - $131K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 23 days ago


Job description

Senior Manager, AI Safety and Security Policy
Full-time, 1-year termed FAS staff position with benefits
Washington, DC | Hybrid
To Sum It Up...
What's the "elevator pitch" for the role?
FAS is building the capacity to govern increasingly advanced AI systems in the public interest. As Senior Manager, AI Safety and Security Policy, you will drive ambitious efforts to turn cutting-edge technical insights into real policy impact-shaping how the U.S. anticipates and manages the challenges of frontier AI.
You'll identify and advance ideas that can make rapid AI progress safer for everyone-crafting proposals, bridging divides, and helping decision-makers act before capabilities outpace oversight. This is a role for a policy entrepreneur: someone who sees opportunities for change and moves to realize them.
You'll work closely with researchers, policymakers, civil society, and industry experts across diverse viewpoints-from AI safety and security to fairness and innovation, supported by cross-functional FAS teams. Success means not only producing analysis, but ensuring that pluralistic, evidence-based approaches to frontier AI governance take root in the places where decisions are made.
If you're motivated by the challenge of bridging technical and policy worlds to shape how society mitigates catastrophic AI risks-and to ensure transformative AI serves the public good-this is a chance to lead from the front.
This position will report to the Director of AI and Emerging Technology Policy.
Skills and Expertise: Must-Haves
What skills do you need to show proficiency (or higher) in order to be a strong candidate?
  • 6+ years of experience across think tanks, government, academia, or industry.
  • Experience with one or more areas of AI safety and security policy (e.g., frontier AI safety, AI and chemical, biological, nuclear, and radiological (CBRN) weapons, AI and cybersecurity, red-teaming, dangerous capabilities evaluations).
  • Aptitude for policy entrepreneurship, including an ability to identify policy windows and match interventions (briefings, convenings, public comments, etc.) to moments of maximal impact.
  • Proven ability to craft precise, persuasive, and implementable policy proposals and communicate complex ideas clearly to technical and non-technical audiences alike.
  • Ability to engage critically and carefully with technical AI work-understanding research claims, methods, and limitations-and translate these into policy-relevant insights.
  • Capacity to engage constructively across differing schools of thought in AI policy (e.g., safety, security, fairness, and innovation) while maintaining analytical rigor and respect for diverse evidence bases.
  • Track record of working across teams and mentoring or guiding colleagues in a mission-driven, fast-moving environment.

Skills and Expertise: Preferred
  • Direct government experience, particularly in areas relevant to AI policy.
  • Experience briefing senior decision-makers.
  • Experience managing people and complex projects; clear, empathetic communication and stakeholder coordination.
  • Experience convening cross-sector stakeholders and building consensus, particularly around challenging topics.
  • Hands-on technical experience in AI/ML, for example developing or deploying frontier AI systems.
  • Research or publication record, especially on AI policy (e.g., reports, academic articles, public commentary).
  • Professional networks spanning AI research, policy, and advocacy communities, particularly AI safety and security.
  • Advanced degree (e.g., MS, JD, MPP/MPA, or PhD), especially with a focus on AI governance, safety, or security.

Key Responsibilities:
The following is an overview of the main responsibilities of the successful candidate. Please note that other tasks may be required, and responsibilities will vary over time.
Policy Analysis and Development
  • Identify policy windows, including areas where proactive, targeted interventions (e.g., public comments, convenings, briefings) can support tangible policy change.
  • Write and publish rigorous, timely analysis that anticipates emerging AI risks and opportunities and is useful to policymakers.
  • Develop well-scoped research projects on AI safety and security policy where you see potential windows to drive policy change.
  • Engage with external experts, including technical AI experts, to conduct relevant research.
  • Respond to requests for technical assistance from policymakers, including through briefings and responses to requests for information.
  • Collaborate on AI policy development with our Day One community, including through our AI Safety Policy Entrepreneurship Fellowship.
  • Collaborate with internal teams on relevant policy projects (e.g., AI and nuclear weapons).

Project and Program Management
  • Manage and mentor staff with regular, timely, and constructive feedback. Contribute to personnel development and foster a curious, inclusive, and ambitious team culture.
  • Manage project deadlines and deliverables, ensuring timeliness and high quality. Collaborate across other internal teams to ensure alignment and execution on relevant AI projects. Attend relevant internal meetings.
  • Oversee future iterations of FAS's AI Safety Policy Entrepreneurship Fellowship in collaboration with other FAS staff.
  • Assist with the preparation and management of budgets in collaboration with other FAS staff.
  • Participate in fundraising efforts as appropriate and draft reports for relevant funders.
  • Support the Director of AI and Emerging Technology Policy in managing the AI portfolio at FAS.

Policy Engagement & Convening
  • Regularly engage with policymakers, civil society, technical AI experts, and a range of AI policy communities to share and refine ideas.
  • Represent FAS at relevant external events, including travel as needed.
  • Serve as an expert commentator for journalists, via social media, and through publications in the popular press.
  • Design and manage relevant events (workshops, briefings, convenings, etc.), supported by other FAS staff, including formulating event agendas, themes, and speakers, and bringing a diverse range of ideas into dialogue.

Why FAS?
Does FAS sound like an organization that you would be energized to join? Is it aligned to your values?
The Federation of American Scientists (FAS) takes seriously our role as a beacon and voice for the science community. FAS has a rich history: after the devastating bombings of Hiroshima and Nagasaki in 1945, a group of atomic researchers-deeply concerned about the use of science for malice-created an organization committed to using science and technology to benefit humanity.
The group they created-the Federation of Atomic Scientists-soon became the Federation of American Scientists in recognition of the hundreds of scientists across diverse disciplines who joined together to speak with one voice for the betterment of the world.
Today, we are a group of entrepreneurial, intrepid changemakers, forging a better future for all through the nexus of science, technology, and talent. We value fairness, inclusion, and transparency, and are focused on being impact-driven and growth-oriented as a force for good in the world.
Our previous AI policy work has included:
  • Developing AI safety policy proposals that have shaped government policy.
  • Analyzing AI companies' preparedness frameworks for the National Institute of Standards and Technology.
  • Submitting recommendations to inform the administration's AI Action Plan (see our response to the Action Plan here).
  • Hosting private convenings, including with administration officials and members of Congress, at the intersection of AI and various global risks, including cybersecurity, biosecurity, nuclear weapons.
  • Publishing policy memos at the intersection of AI and energy in collaboration with leading researchers.
  • Working with scientists and policymakers to share ideas on how AI can accelerate scientific research.
  • Creating policy proposals for AI specifically targeted at Congress, and directly briefing these ideas to staffers on Capitol Hill.
  • Launching an ongoing policy development sprint to promote fair and trustworthy AI.

Work Environment
This is a one-year, full-time, fully benefited position. Continuation beyond the initial one-year term is contingent on organizational financial standing and continued funding availability, as well as FAS organizational needs and mutual interest.
This position will be a hybrid role based in Washington DC. Meaning that both remote and in-person work can be accommodated, generally two to three days per week on-site, and two to three days per week remote depending on the needs of the organization.
This position is included in a union-represented collective bargaining unit, and specific terms and conditions of employment are subject to collective bargaining.
Salary Range
$110,000 - $135,000
Benefits
FAS offers a competitive and comprehensive benefits package that supports employees' health, financial security, and overall well-being. Benefits include a competitive 403(b) retirement plan, medical, dental, and vision coverage, short-term and long-term disability insurance, life insurance, employee assistance support, pre-tax benefits such as healthcare and dependent care FSAs, and commuter benefits.
Hiring Statement
Don't check off every box? Apply anyway! Studies have shown that women and people of color are less likely to apply for jobs unless they meet every listed qualification. At FAS we are dedicated to building a diverse and inclusive workplace, and developing new voices. If you're excited about this role but your past experience doesn't align perfectly, we encourage you to apply anyway - you might just be the right candidate.
The Federation of American Scientists is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. The Federation of American Scientists prohibits discriminating against employees and job applicants who inquire about, discuss, or disclose the compensation of the employee or applicant or another employee or applicant. Employment is contingent on successful verification of eligibility to work in the United States. Please note that we are unable to offer employment sponsorship for this role.