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're looking for an analyst to support the team's cyber product policy work: the usage policy language, help-center and enforcement guidance, and launch policy notes that say what Anthropic permits and prohibits for cyber-relevant use, kept consistent with the constitution and our access tiers. You'll analyze the constitution and usage policies to check that enforcement matches them, work with the threat intelligence and enforcement teams to make sure our safety standards are met, and coordinate cyber policy inputs to model releases and regulatory requirements alongside the Senior Cyber Policy Lead. You'll also help maintain our controlled-access framework and help keep our cyber-related policy commitments current as standards shift.
You don't need to write code in this role, but you should be comfortable engaging deeply with technical material — probes, classifiers, and trusted-access programs — and translating it into policy that holds up under scrutiny.
Key responsibilitiesContribute to the team's cyber product policy artifacts (usage policy language, help-center and enforcement guidance, launch policy notes) and help keep them consistent with the constitution and access tiers
Analyze Anthropic's constitution and cyber-related usage policies, and check that enforcement decisions and safeguards match what they say; maintain a running gap log and propose text fixes
Work with the threat intelligence and enforcement teams to ensure cyber safety standards are met; review a sample of enforcement decisions against policy text on a regular cadence and report drift
Coordinate cyber policy inputs to model releases and to regulatory requirements: prepare the cyber policy section of launch/model-card reviews and regulator pre-briefs, in support of the Senior Cyber Policy Lead
Support Anthropic's access-requirements policy and contribute to consolidation of the controlled-access framework across existing and emerging access programs
Help keep Anthropic's cyber-related policy commitments current with shifting industry and regulatory standards, and ensure they map cleanly to our technical safeguards
Draft inputs to reporting for partners and regulators
Help translate technical evaluation and safeguard work into policy positions and internal guidance
Engage closely with technical teams to understand the capabilities of probes and classifiers relevant to access policy
Demonstrated ability to write clear policy analysis (professional or academic)
Familiarity with how AI developers or platforms enforce usage policies, or with cybersecurity policy, standards, or regulatory frameworks (e.g., usage policies/AUPs, trust and safety enforcement, NIST CSF, CVD)
Ability to read and interpret technical security material, such as vulnerability reports or threat assessments
Ability to work across teams (threat intelligence, enforcement, engineering, policy) and communicate clearly in writing
Experience in cybersecurity policy, including familiarity with coordinated vulnerability disclosure
Exposure to government information-sharing and incident-notification frameworks
Experience supporting engagement with government agencies, regulators, or standards bodies on cybersecurity or AI matters
Experience with legal, technical, or policy aspects of vulnerabilities and disclosure
Experience with model-release or product-launch review processes
Familiarity with trust-and-safety or product-policy work at a platform (usage policies, enforcement appeals, policy communications)
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.
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.
Come work with us!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.
Anthropic San Francisco, California, USA Office
548 Market St, San Francisco, California, United States, 94104
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
