Threat Intel Manager, Model Exploitation & Fraud

Details

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. The Model Exploitation & Fraud team within Threat Intelligence detects, investigates, and disrupts large-scale exploitation of Anthropic's AI systems — including model distillation, unauthorized access, account farming and reseller abuse, and fraud and scam operations. You will set 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. This area includes regular U.S. government engagement and requires deep understanding of external black market ecosystems and their interaction with our systems.

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

Responsibilities

• Own strategy, priorities, and outcomes for the Model Exploitation & Fraud mission area; define what the team detects, investigates, actions, and shares
• Hire, manage, and develop a team of technical threat investigators; set the quality bar for casework and intelligence reporting
• Design clear lanes between management and senior individual contributors: strategy, people leadership, and program ownership sit with you, while senior ICs own the deepest technical investigations and tradecraft
• Independently lead complex investigations and direct, prioritize, and resource investigations into model distillation, unauthorized AI R&D usage, unauthorized access, coordinated account abuse, and fraud/scam networks
• Partner with investigators and engineering to redesign triage for a high-volume detection pipeline: build abuse signals, clustering, and agentic investigation workflows to separate sophisticated actors from noise
• Expand coverage into fraud and scams, building detection and investigation playbooks from the ground up
• Own external engagement for the area, including intelligence sharing with U.S. government partners and industry peers
• 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

Requirements

• Proven experience leading and managing investigative, fraud, platform integrity, or threat intelligence teams, ideally built around senior, deeply specialized individual contributors
• Strong domain fluency in scaled abuse (fraud patterns, account abuse, unauthorized access, platform exploitation economics) sufficient to set priorities and earn the confidence of expert investigators
• Proficient enough in SQL and Python to review data-heavy casework, pressure-test conclusions, and provide surge capacity when needed
• Experience overseeing investigations tracking threat actors across surface, deep, and dark web environments, including reseller and access-broker communities
• Working familiarity with large language models and a strong grasp of how models can be distilled, extracted, or exploited at scale
• Experience building processes, detection systems, or programs from scratch and demonstrating measurable impact
• Strong written and verbal communication skills for executives, engineers, and external partners

Preferred Qualifications

• Experience at a major technology platform on trust & 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
• Track record of partnering with, growing, and retaining senior technical specialists and 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

Compensation

• Annual salary range: $375,000 - $455,000 USD

Logistics

• Location: San Francisco, CA (location-based hybrid policy: currently expect staff to be in an office at least 25% of the time)
• Minimum education: Bachelor’s degree or equivalent combination of education, training, and/or experience
• Years of experience: will correlate with internal job level requirements
• Visa sponsorship: Anthropic states they do sponsor visas and retain an immigration lawyer to help when an offer is made

How we're different

Anthropic emphasizes large-scale, collaborative AI research focused on steerable, trustworthy AI. We value impact, communication, and working together on a few large-scale research efforts. The posting also references recent research directions (e.g., GPT-3, interpretability, scaling laws, AI & compute, learning from human preferences) as context for the company’s work.