Safeguards Enforcement Analyst, Access Controls & Identity

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., * 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

Access Control, Analysis Skills, Artificial Intelligence (AI), Analysis Skills, Access Control, Regulations, Reseller Channel, Quality Assurance, Legal, Public Policy, * 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, 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.

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 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.