Threat Intel Manager, Model Exploitation & Fraud

Anthropic•San Francisco, CA

7d•$375,000 - $455,000•Hybrid

About The Position

Anthropic is seeking a Threat Intel Manager to establish and lead their Model Exploitation & Fraud team within Threat Intelligence. This role involves detecting, investigating, and disrupting large-scale exploitation of Anthropic's AI systems, including model distillation, unauthorized access, account farming, reseller abuse, and fraud/scam operations. The manager will define the strategy for this mission area, recruit and lead a team of technical investigators, and develop scalable systems, processes, and partnerships. The team includes senior investigators focused on deep technical casework, and the manager's role is to direct, resource, and amplify their work. This position requires regular engagement with U.S. government entities and a deep understanding of external black market ecosystems and their interaction with AI systems. Note that this role may involve exposure to explicit content and may require responding to escalations during weekends and holidays.

Requirements

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

Nice To Haves

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

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