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Practising for the listing Safeguards Enforcement Analyst, Access Controls & Identity. Its requirements are filled in below. When you have an answer you like, paste it with your CV in Career Mirror to see which of the job's skills it shows.

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Safeguards Enforcement Analyst, Access Controls & Identity
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.

For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.

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.

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Requirements found

Sql (must) Writing (nice) Sales (nice) Training (must) Recruiting

What this posting asks for

Level: Not stated — The posting does not state a level or years of experience.

Main 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 lan…
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 a…
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

Competencies an interviewer will look for

Communication Core
In the posting: “Strong written communication skills, with experience producing clear briefs and recommendations for technical and non-technical stakeholders” · “If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.” · “As such, we greatly value communication skills.”
Show it by: Adapts the message to the listener; Gives an example of explaining something clearly in writing or speech.
Teamwork and collaboration Core
In the posting: “Experience driving cross-functional initiatives with Product, Engineering, Legal, and Policy partners — especially where safety, privacy, and usability trade…” · “In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic.” · “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.”
Show it by: Says what they did inside a team, not only what 'we' did; Shows how a disagreement was handled.
Attention to detail and quality Core
In the posting: “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 harm…” · “Improve verification program health — accuracy, appeal coverage, and consistency of outcomes” · “Experience in trust & safety, integrity, or risk policy work”
Show it by: Gives an example of an error caught before it caused harm; Names the check or standard they used.
Stakeholder management Core
In the posting: “Work with Legal, Public Policy, and Privacy stakeholders to keep our approach proportionate, privacy-preserving, and responsive to an evolving regulatory lan…” · “Coordinate enforcement consistency with third-party platform partners” · “Experience driving cross-functional initiatives with Product, Engineering, Legal, and Policy partners — especially where safety, privacy, and usability trade…”
Show it by: Shows how they aligned people with different goals; Explains how they handled a 'no' from someone senior.
Technical skill Core
In the posting: “Experience driving cross-functional initiatives with Product, Engineering, Legal, and Policy partners — especially where safety, privacy, and usability trade…” · “Comfort using data (SQL or similar tools) to measure what's working and inform decisions”
Show it by: Names the tools, languages or systems used and how; Explains a technical choice and its trade-off.
Data and analysis Core
In the posting: “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 de…” · “Comfort using data (SQL or similar tools) to measure what's working and inform decisions”
Show it by: Uses a number to describe the situation or the result; Explains what the data showed and what was done with it.
Adaptability and learning Core
In the posting: “Excellent judgment and the ability to make consistent, defensible calls on ambiguous cases” · “We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely…”
Show it by: Describes learning something new quickly and using it; Shows a change of plan and how they adjusted.
Ownership and accountability Supporting
In the posting: “You'll own the policy layer of these systems: what we ask users for, when, on what grounds, and what passes.”
Show it by: Takes a task from start to finish without being chased; Owns a mistake and what was changed after it.

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