Program Manager, Responsible Scaling Policy

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.

You may be a good fit if you have

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.

• Maintain the source of truth view for every model and the RSP obligations it triggers so anyone can see at a glance where things stand
• Project-manage Risk Reports and Capability Reports from end-to-end: shepherding through evals, reviews, and publication to ensure reports land when they're needed
• Pull together Safeguards, Security, and any other required reviews ahead of each launch to confirm the applicable RSP standard is met, surfacing gaps early enough to act on them
• Own the RSP commitments tracker (Frontier Safety Roadmap milestones, evaluation cadence, public update obligations) and make it the system of record the program runs on
• Run RSP version updates through internal review, Board approval, and public posting
• Represent the RSP program in launch readiness forums and system card reviews, making sure policy owners are looped in when a decision is needed
• 8+ years running high-stakes, deadline-driven compliance or governance programs where missing a step had real external consequences - regulatory operations, trust & safety launch reviews, security/privacy compliance, or similar
• Direct experience as the connective tissue across technical, security, legal, and exec stakeholders who all have different vocabularies and incentives
• The ability to read a technical evaluation report, ask the right clarifying questions, and turn it into a crisp decision memo
• A demonstrated record of building tracking systems driving cross-functional initiatives to resolution
• Calm, sound judgment when launch timelines and safety obligations collide - you can hold a line on process while staying pragmatic
• Sharp written communication; your status updates and approval packets need minimal rework before going to senior leadership or externally
• Genuine investment in Anthropic's safety mission and a desire to be close to the mechanism that enforces it
• Existing context on the RSP, model launch process, or one of the contributing teams (Safeguards, Security, capability evals, Alignment Stress Testing, Policy) is a plus
• Experience preparing materials for a Board, regulator, or external auditor is a plus

$190,000—$235,000 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.