Risk Manager, Responsible Scaling Team

About Anthropic 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.
Our Responsible Scaling Policy (RSP) defines a series of capability thresholds - AI Safety Levels (ASLs) - that represent increasing risks. Crossing an ASL threshold triggers a commitment to more stringent safety, security, and operational measures to handle the increased level of risk.
About the Role To ensure our RSP framework is sound, we need to ensure any high-level commitments are properly operationalized. Implementation plans must be stress-tested and continually reviewed for possible shortcomings in meeting the principles above. Lastly, we will need mechanisms for independent assessment, in particular where the difficulty of specifying full implementation plans in advance necessitates more open-ended judgment calls. You will work closely with the RSP Technical Program Manager (TPM) and cross-functional partners like the Compliance Team and Alignment Stress Testing Team to give our executive team, board, and external stakeholders high confidence that we are effectively mitigating catastrophic risks from increasingly powerful AI systems. You will also keep Anthropic at the cutting edge of emerging AI safety frameworks, aligning our practices with evolving standards.
Note: We are looking for candidates who can start within 3 months. We will consider all candidates who can meet the organization's hybrid policy, provided you have significant (60%+) overlap with Pacific Time. 
Responsibilities: Help develop and test a robust set of governance mechanisms for the RSP  Systematically identify, assess, mitigate, monitor and report on top risks to meeting RSP commitments across technical and operational domains Design and conduct rigorous "fire drills" and red team exercises to pressure test RSP processes and uncover potential failure modes and blindspots Partner with RSP program leads to ensure that any risks and lessons learned continuously improve our approach and overall framework Support the Responsible Scaling Officer in briefing the Executive Team and the Board of Directors  on evolving RSP risk profile and mitigation efforts to inform key governance and release decisions Maintain confidential escalation channels and support investigations to rapidly surface and learn from any RSP breakdowns or near misses You may be a good fit if you have: The ability to model and analyze complex sociotechnical systems, uncover hidden assumptions, and identify potential failure modes.  Awareness of different risk management tools like STPA, CAST, and STPA-Sec and the value each can add to different projects.  Deep understanding of risk management principles and systems safety engineering methodologies, particularly in the context of advanced technology development.  Demonstrated ability to make sound decisions in the face of uncertainty Strong intuition and judgment around the appropriate use of technical controls versus people and process-based interventions for managing risks.  Experience building consensus and driving change across organizational boundaries  Exceptional written and verbal communication skills, with the ability to translate complex technical risks into clear, actionable insights for stakeholders at all levels.  Demonstrated ability to influence without authority and build strong partnerships Proven ability to drive meaningful change through collaboration, influence, and leadership, with or without formal authority Strong candidates may also have experience with: Building and managing a team Direct work in AI safety and/or governance Compliance Presiding over risk decisions for complex technical programs The expected salary range for this position is:
Annual Salary:
$320,000—$485,000 USD
Logistics 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.
US visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate; operations roles are especially difficult to support. But if we make you an offer, we will make every effort to get you into the United States, 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.
Compensation and Benefits Anthropic's compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.
Equity - On top of this position's salary (listed above), equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.
US Benefits -  The following benefits are for our US-based employees:
Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant. Comprehensive health, dental, and vision insurance for you and all your dependents. 401(k) plan with 4% matching. 22 weeks of paid parental leave. Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more! Stipends for education, home office improvements, commuting, and wellness. Fertility benefits via Carrot. Daily lunches and snacks in our office. Relocation support for those moving to the Bay Area. UK Benefits -  The following benefits are for our UK-based employees:
Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant. Private health, dental, and vision insurance for you and your dependents. Pension contribution (matching 4% of your salary). 21 weeks of paid parental leave. Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more! Health cash plan. Life insurance and income protection. Daily lunches and snacks in our office. This compensation and benefits information is based on Anthropic's good faith estimate for this position as of the date of publication and may be modified in the future. Employees based outside of the UK or US will receive a different benefits package. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial. 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. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.
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.
Come work with us! Anthropic is a public benefit corporation based 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.