Policy Program Manager, Safeguards Regulatory

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

As a Program Manager on Anthropic's Safeguards team, you'll help make sure we meet our obligations under AI safety laws and regulations around the world. Working closely with Legal, you'll turn new and emerging requirements into programs, controls, and deliverables. This requires a detailed understanding of how our models and products are built, evaluated and safeguarded. Your work will support Anthropic's commitment to developing AI safely and beneficially as the regulatory landscape evolves.

The responsibilities listed below are some examples of areas that someone in this role could own, depending on their experience and the team's needs.

Key responsibilities

• Manage and drive complex safety initiatives that identify, assess and mitigate risks from frontier models, from initial risk assessment through to the deployment of safeguards

• Partner with the Safeguards incident management team to strengthen incident response and reporting processes, including the policies that determine how incidents are escalated and when they must be reported externally

• Conduct post-incident reviews, and work with the subject matter experts for each harm area to incorporate the findings into model and product safeguards

• Own the safety strategy and deliverables for AI systems used in high-risk settings, including risk assessments, technical documentation, and the information that deploying customers need to use those systems safely

• Define the safety and risk controls that our models and products require, ensure that each control has an owner and a documented procedure, and confirm that it operates as intended

• Partner closely with the owners of each risk area to develop a deep understanding of AI risks, safety evaluations and mitigation strategies, and use that understanding to prepare safety documentation, transparency reports and regulatory submissions

Minimum qualifications

• Experience in trust and safety, AI safety or a related field, including designing and implementing safeguards against misuse or harm

• Understanding of AI safety, including the principal risk areas and the evaluations and safeguards used to address them, well enough to engage substantively with the technical experts responsible for them

• Experience running risk assessment or harm mitigation programs from identification through to resolution

• Experience translating policy or regulatory requirements into practical operational processes

• Ability to drive complex, cross-functional programs to completion in a fast-moving environment, including with technical teams outside your own discipline

• Clear written communication, including documentation for technical, legal and external audiences

• Strong attention to detail, and the judgment to recognize when work is at risk and raise it early

• Commitment to the safe development and deployment of AI

• Experience with AI-specific regulation, such as the EU AI Act

• Experience leading incident response programs, including escalation paths and external reporting obligations

• Experience preparing safety documentation, transparency reports or regulatory submissions

• Experience working with technical and research teams on safety evaluations

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

$245,000—$285,000 USD

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.