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.
About the role
As a Safeguards Enforcement Analyst on the account abuse team, you'll build and execute enforcement workflows that keep our products safe, with a focus on detecting and mitigating potential harm. Your focus will be driving a number of enforcement areas including access controls and identity verification. You'll own the policy layer of these systems: what we ask users for, when, on what grounds, and what passes. The work sits at the intersection of policy, operations, and regulatory exposure.
This position may expand into broader areas of enforcement over time. Safety is core to our mission, and you'll help shape policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way.
Key responsibilities
- Set collection policy for identity signals: what we request, in which enforcement states, and what evidence reinstates access
- Improve verification program health — accuracy, appeal coverage, and consistency of outcomes
- Own access policy for hard cases, including geographic restrictions and reseller arrangements
- Run the operational queue for access-control cases alongside contractor support, authoring playbooks and QA'ing scaled review output
- Work with Legal, Public Policy, and Privacy stakeholders to keep our approach proportionate, privacy-preserving, and responsive to an evolving regulatory landscape
- Coordinate enforcement consistency with third-party platform partners
- Keep up to date with emerging AI policy enforcement best practices, and use these to inform our decision-making and workflows
- Stand up graduated enforcement in practice — verification requests, conditional reinstatement, and appeal pathways that satisfy regulatory requirements for automated decisions
Minimum qualifications
- Experience in trust & safety, integrity, or risk policy work
- Hands-on operational experience — you've owned or quality-checked live enforcement queues, not only authored policy
- Subject matter expertise in one or more of: KYC, identity verification, age or identity assurance, or verification program operations
- Experience navigating evolving regulatory landscapes (including frameworks like the DSA and GDPR) as design constraints rather than blockers
- Experience driving cross-functional initiatives with Product, Engineering, Legal, and Policy partners — especially where safety, privacy, and usability tradeoffs need to be navigated together
- Comfort using data (SQL or similar tools) to measure what's working and inform decisions
- Strong written communication skills, with experience producing clear briefs and recommendations for technical and non-technical stakeholders
- Excellent judgment and the ability to make consistent, defensible calls on ambiguous cases
Preferred qualifications
- Experience with graduated/tiered enforcement systems rather than binary ban models
- Experience with geographic access restrictions, sanctions screening, or reseller/channel policy
- Experience building or scaling a contractor review bench
- A deep interest in AI safety and responsible technology development
- Experience writing effective prompts for generative AI systems in a content review or enforcement context
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:
$285,000—$330,000 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.
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.
