Threat Intel Manager, Model Exploitation & Fraud

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

We are looking for a threat intel manager to build and run our Model Exploitation & Fraud team within Threat Intelligence. This team detects, investigates, and disrupts the large-scale exploitation of Anthropic's AI systems. Model distillation, unauthorized access, account farming and reseller abuse, and fraud and scam operations.

You will set the strategy for the mission area, hire and lead a small team of technical investigators, and build the systems, processes, and partnerships that let the team scale. The team includes established senior investigators who own our deepest technical casework, tracing distillation networks, reseller and proxy ecosystems, and financially motivated actors across first-party surfaces and third-party platforms; your job is to direct, resource, and amplify that work, not duplicate it. This area carries regular U.S. government engagement and requires deeply understanding external black market ecosystems and how they interact with our systems.

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

Key responsibilities

• Own strategy, priorities, and outcomes for the Model Exploitation & Fraud mission area; define what we detect, investigate, action, and share
• Hire, manage, and develop a team of technical threat investigators; set the quality bar for casework and intelligence reporting
• Design clear lanes between this role and the team's senior individual contributors: strategy, people leadership, and program ownership sit with you, while ownership of the deepest technical investigations and tradecraft stays with the senior experts closest to the work
• Capable of independently leading complex investigations.
• Direct, prioritize, and resource complex investigations into model distillation, unauthorized AI R&D usage, unauthorized access, coordinated account abuse, and fraud/scam networks, partnering with the senior investigators who lead the deepest technical casework and clearing blockers from their path
• Drive the redesign of triage for a very high-volume detection pipeline: partner with investigators and engineering to build abuse signals, clustering, and agentic investigation workflows that separate sophisticated actors from noise
• Expand the team's coverage into fraud and scams, building the detection and investigation playbooks from the ground up
• Own the external engagement program for the area, including regular intelligence sharing with U.S. government partners and industry peers, ensuring the investigators driving the work are visible in those channels
• Anticipate how resellers, proxies, and third-party platforms change the abuse surface, and shape coverage accordingly
• Work with policy, enforcement, and engineering to convert findings into bans, product mitigations, and safety-by-design improvements
• Define and report the team's metrics; brief Safeguards and company leadership on the threat landscape

Minimum qualifications

• Have led and managed investigative, fraud, platform integrity, or threat intelligence teams, ideally ones built around senior, deeply specialized individual contributors
• Have strong domain fluency in scaled abuse - fraud patterns, account abuse, unauthorized access, or platform exploitation economics - sufficient to set priorities, pressure-test findings, and earn the confidence of expert investigators
• Are proficient enough in SQL and Python to review data-heavy casework, pressure-test conclusions, and provide surge capacity when the team needs it
• Have experience overseeing investigations that track threat actors across surface, deep, and dark web environments, including reseller and access-broker communities
• Have working familiarity with large language models and a strong grasp of how models can be distilled, extracted, or exploited at scale
• Have built processes, detection systems, or programs from scratch and can show what changed because of them
• Communicate crisply with executives, engineers, and external partners alike

Preferred qualifications

• Experience at a major technology platform on trust and safety, fraud, or abuse investigations at scale
• Background in financial crime investigation or fraud analytics
• Experience working directly with U.S. government stakeholders on threat reporting
• A track record of partnering with, growing, and retaining senior technical specialists, including defining clear scope between management and senior IC tracks
• Fluency in Mandarin Chinese and/or Russian with nuanced regional and geopolitical context
• Active Top Secret security clearance

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:$375,000-$455,000 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.