Threat Intel Manager, Model Exploitation & Fraud

Society for AI Security; United States; Hybrid; USD 180,000 - 280,000; Full time

Job summary

Anthropic is seeking a Threat Intel Manager to lead the Model Exploitation & Fraud team within Threat Intelligence. You will set strategy, hire and guide a small team of investigators, and build scalable systems and partnerships to detect, investigate, and disrupt large-scale abuse of our AI systems.

The role involves coordinating with policy, enforcement, and engineering, engaging with U.S. government partners, and shaping coverage for resellers and third-party platforms.

Qualifications

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience.
• Strong domain fluency in scaled abuse and threat intelligence.
• Experience leading investigative or threat intelligence teams at scale.

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
• 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
• Drive the redesign of triage for a very high-volume detection pipeline; build abuse signals and investigator workflows
• Expand the team's coverage into fraud and scams, building playbooks from the ground up
• Own the external engagement program for the area, including regular intelligence sharing with U.S. government partners
• Anticipate changes in resellers and third-party platforms and adjust coverage accordingly
• Work with policy, enforcement, and engineering to convert findings into bans and safety improvements
• Define and report the team's metrics; brief leadership on threat landscape
• Communicate crisply with executives, engineers, and external partners

Skills

Threat intel leadership

Team management

SQL

Python

External engagement

Policy coordination

Education

Bachelor’s degree

Job description

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.

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
• 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.

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.