Anthropic에서 책임 있는 확장 정책(RSP) 운영을 총괄할 프로그램 매니저를 채용합니다. 모델 출시 과정의 안전성 준수 여부를 관리하고, 연구·보안·법무 부서 간의 복잡한 이해관계를 조율하는 핵심 역할을 수행합니다. 8년 이상의 컴플라이언스 또는 거버넌스 프로그램 운영 경력이 필수이며, 기술적 평가를 의사결정 자료로 변환하는 능력이 요구됩니다. AI 안전 미션에 대한 깊은 공감과 뛰어난 커뮤니케이션 역량을 갖춘 분을 찾습니다.
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.
We are seeking a Program Manager to own the operations behind Anthropic's Responsible Scaling Policy (RSP) - the framework that governs when our models are safe to train, deploy, and keep deployed. The RSP drives a continuous cycle of capability evaluations, Risk Reports, ASL safeguard readiness checks, Board approvals, and public commitments. You'll build and run the program infrastructure that keeps that cycle on track against an accelerating model launch cadence: source-of-truth tracking, report pipelines, and cross-functional coordination across research, Safeguards, Security, and Legal.
This is one of the most consequential program management roles at Anthropic, sitting at the point where our safety commitments meet our models. The ideal candidate combines rigorous compliance-program instincts with the cross-functional fluency to work across research and exec stakeholders, and genuine conviction in Anthropic's safety mission.
A non-exhaustive view of the work this role entails is below, including:
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.
Annual Salary:
$190,000—$235,000 USD
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.
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.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
