Safeguards Enforcement Lead, Cyber Harms

Anthropic; United States; On-site; USD 285,000 - 330,000; Full time

Job summary

United States Digital Space LLC is seeking an Enforcement Lead to guide and execute enforcement actions across our products, focusing on deterring misuse of our AI systems in cyber operations. You will manage a team of Cyber Enforcement Analysts and contractors, developing enforcement frameworks for flagged activity and coordinating with policy and engineering teams.

Safety is central to our mission; you may encounter explicit content spanning violent or technical topics, and weekend/holiday

Qualifications

• Experience as a people manager.
• Experience in cybersecurity, including knowledge of offensive techniques, exploit development, malware analysis, or vulnerability research.
• Experience performing content review, abuse investigations, or policy enforcement at volume.
• Proficiency in SQL and/or Python for data analysis and threat detection.
• Experience identifying emerging risks and communicating findings to stakeholders (Product, Policy, Engineering, Legal).
• Experience working with generative AI products, including writing effective prompts for content review and enforcement.

Responsibilities

• Manage a team of Cyber Enforcement Analysts and contractors, overseeing the vision of Cyber Enforcement strategy
• Create strategies to detect and mitigate potential misuse of AI systems to facilitate cyberattacks, malware creation, exploitation tooling, and related harmful cyber operations
• Collaborate with stakeholders regarding novel, ambiguous, or high-severity cases
• Collaborate with the Safeguards Policy Design Team on policy gaps surfaced through real enforcement scenarios
• Partner with Engineering and Data Science teams to ensure tooling and measurement support enforcement operations.
• Keep up to date with emerging AI policy enforcement best practices, threat actor tactics, and the evolving cyber threat landscape, using these to inform enforcement decisions

Skills

People management

Cybersecurity

Policy enforcement

SQL/Python

Stakeholder communication

Generative AI prompts

Trust & safety

Cybersecurity investigations

Threat intelligence

Abuse monitoring

Government engagement

Job description

About the company

the company’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 an Enforcement Lead, you will be responsible for managing and executing enforcement actions across our products and services, with a focus on detecting and mitigating attempts to misuse the company's AI systems for malicious cyber operations. Your work will center on developing strategic enforcement frameworks for flagged activity related to cyberattacks, malware development, and offensive exploitation. Additionally, you will manage a team of Cyber Enforcement Analysts and contractors implementing this enforcement strategy.

Safety is core to our mission, and you’ll help uphold policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way.

Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a violent, technical, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays.

Key responsibilities

• Manage a team of Cyber Enforcement Analysts and contractors, overseeing the vision of Cyber Enforcement strategy
• Create strategies to detect and mitigate potential misuse of AI systems to facilitate cyberattacks, malware creation, exploitation tooling, and related harmful cyber operations
• Collaborate with stakeholders regarding novel, ambiguous, or high‑severity cases
• Collaborate with the Safeguards Policy Design Team on policy gaps surfaced through real enforcement scenarios
• Partner with Engineering and Data Science teams to ensure tooling and measurement support enforcement operations.
• Keep up to date with emerging AI policy enforcement best practices, threat actor tactics, and the evolving cyber threat landscape, using these to inform enforcement decisions

Minimum qualifications

• Experience as a people manager
• Experience in cybersecurity, including knowledge of offensive techniques, exploit development, malware analysis, or vulnerability research
• Experience performing content review, abuse investigations, or policy enforcement at volume
• Proficiency in SQL and/or Python for data analysis and threat detection
• Experience identifying emerging risks and communicating findings to a diverse set of stakeholders, such as Product, Policy, Engineering, and Legal teams
• Experience working with generative AI products, including writing effective prompts for content review and enforcement

Preferred qualifications

• Experience in trust & safety, abuse investigations, cybersecurity investigations, or threat intelligence in a technology or AI company
• Experience with large language models and an understanding of how AI technology could be misused for cyber operations
• Experience operating within abuse monitoring programs or enforcement review systems
• Understanding of the challenges involved in implementing product policies at scale, including in the content moderation space
• Experience working with government agencies, regulated environments, or information sharing communities

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

LogisticsMinimum 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 the company recruiters only contact you from@the company.comemail addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of the company. Be cautious of emails from other domains. Legitimate the company 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—visitthe company.com/careersdirectly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At the company 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 the company, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems i