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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.

For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.

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.

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Requirements found

Marketing Sql (must) Python (must) Sales (nice) Training (must) Recruiting

What this posting asks for

Level: Manager — The title says "Manager".

Main 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 ow…
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, a…
Drive the redesign of triage for a very high-volume detection pipeline: partner with investigators and engineering to build abuse signals, clustering, and ag…
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 inves…
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

Competencies an interviewer will look for

Technical skill Core
In the posting: “Drive the redesign of triage for a very high-volume detection pipeline: partner with investigators and engineering to build abuse signals, clustering, and ag…” · “Work with policy, enforcement, and engineering to convert findings into bans, product mitigations, and safety-by-design improvements” · “Are proficient enough in SQL and Python to review data-heavy casework, pressure-test conclusions, and provide surge capacity when the team needs it”
Show it by: Names the tools, languages or systems used and how; Explains a technical choice and its trade-off.
Problem solving Core
In the posting: “This team detects, investigates, and disrupts the large-scale exploitation of Anthropic's AI systems.” · “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 tha…” · “The team includes established senior investigators who own our deepest technical casework, tracing distillation networks, reseller and proxy ecosystems, and …”
Show it by: Describes a real problem, the options considered and the one chosen; Shows how the cause was found, not just the fix.
Communication Core
In the posting: “Communicate crisply with executives, engineers, and external partners alike” · “If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.” · “As such, we greatly value communication skills.”
Show it by: Adapts the message to the listener; Gives an example of explaining something clearly in writing or speech.
Teamwork and collaboration Core
In the posting: “Drive the redesign of triage for a very high-volume detection pipeline: partner with investigators and engineering to build abuse signals, clustering, and ag…” · “In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic.” · “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.”
Show it by: Says what they did inside a team, not only what 'we' did; Shows how a disagreement was handled.
Ownership and accountability Core
In the posting: “Design clear lanes between this role and the team's senior individual contributors: strategy, people leadership, and program ownership sit with you, while ow…” · “Capable of independently leading complex investigations.” · “Own the external engagement program for the area, including regular intelligence sharing with U.S.”
Show it by: Takes a task from start to finish without being chased; Owns a mistake and what was changed after it.
Planning and organisation Core
In the posting: “Own strategy, priorities, and outcomes for the Model Exploitation & Fraud mission area;” · “Direct, prioritize, and resource complex investigations into model distillation, unauthorized AI R&D usage, unauthorized access, coordinated account abuse, a…” · “Have strong domain fluency in scaled abuse — fraud patterns, account abuse, unauthorized access, or platform exploitation economics — sufficient to set prior…”
Show it by: Shows how priorities were set when everything was urgent; Mentions deadlines met and how.
Data and analysis Core
In the posting: “set the quality bar for casework and intelligence reporting” · “Define and report the team's metrics;” · “Are proficient enough in SQL and Python to review data-heavy casework, pressure-test conclusions, and provide surge capacity when the team needs it”
Show it by: Uses a number to describe the situation or the result; Explains what the data showed and what was done with it.
Attention to detail and quality Core
In the posting: “set the quality bar for casework and intelligence reporting” · “Work with policy, enforcement, and engineering to convert findings into bans, product mitigations, and safety-by-design improvements” · “Experience at a major technology platform on trust and safety, fraud, or abuse investigations at scale”
Show it by: Gives an example of an error caught before it caused harm; Names the check or standard they used.
Stakeholder management Core
In the posting: “government partners and industry peers, ensuring the investigators driving the work are visible in those channels” · “Communicate crisply with executives, engineers, and external partners alike” · “government stakeholders on threat reporting”
Show it by: Shows how they aligned people with different goals; Explains how they handled a 'no' from someone senior.
Leadership and mentoring Core
In the posting: “Design clear lanes between this role and the team's senior individual contributors: strategy, people leadership, and program ownership sit with you, while ow…” · “brief Safeguards and company leadership on the threat landscape”
Show it by: Describes setting direction or a standard others followed; Names someone they coached and what changed for them.
Adaptability and learning Supporting
In the posting: “We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely…”
Show it by: Describes learning something new quickly and using it; Shows a change of plan and how they adjusted.

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Practice questions

Tell me about yourself. Dedicated step-by-step practice.
If an interviewer asks something improper How to respond to questions about age, family, origin or health.
Built from this posting (8):
Walk me through a piece of work where you used your strongest technical skill. What exactly did you do? From this posting
Tell me about a difficult problem you solved at work. How did you find the cause? From this posting
Tell me about a time you had to explain something complex to someone outside your field. From this posting
Describe a time you worked with another team to deliver something. What was your part? From this posting
How have you used sql in your work? Walk me through one real example. From this posting
Tell me about a problem you solved using python. From this posting
Tell me about a time you helped someone on your team get better at their work. From this posting
Describe a time your plans changed suddenly. How did you adjust? From this posting
This posting reads as Data analysis: its questions come first.
Tell me about an analysis that changed a decision. Data analysis
How do you check that a query or spreadsheet you built gives the right answer? Data analysis
Describe a new tool or technique you learned to finish a piece of work. Data analysis
Describe a time you found that the data you were given was wrong. Data analysis
A manager asks you for 'the numbers' by tomorrow with no further detail. What do you do? Data analysis
What makes a dashboard useful, and how have you built one? Data analysis
Tell me about a time you explained a statistical result to people without a data background. Data analysis
Sales dropped 15% last month. How would you find out why? Data analysis
Tell me about a sale or agreement you are proud of.
Walk me through how you would check whether a report's numbers are right.
Describe a time you handled an upset customer or colleague.
Tell me about a time you had several deadlines at once. How did you decide what to do first?
Give an example of a mistake you caught before it caused a problem.
Tell me about a time you taught someone how to do something.
Describe a time you took the lead without being asked.
Tell me about a time you had to explain something complicated in simple terms.
Describe a process you improved.
Do you have any questions for us?
Why do you want to work here?
Why is there a gap in your employment? Difficult question
Why did you leave your last job? Difficult question
Why are you changing careers? Difficult question
What is your greatest weakness? Difficult question
What are your salary expectations? Difficult question
You seem overqualified for this role. Why do you want it? Difficult question
Improper-question practice: How old are you? / Do you have children? / Where are you from originally?
A customer is angry about a delay you did not cause. What do you do?
How do you keep track of many open customer requests?
Tell me about a time you could not give a customer what they wanted.
You find that the inventory count does not match the system. What do you do?
Tell me about a time a shipment or delivery went wrong.
How do you make sure safety rules are followed on a busy shift?
Two managers ask you to book the same room at the same time. What do you do?
How have you used spreadsheets in your work?
Tell me about a time you had to enter or check a lot of data accurately.
A prospect says your price is too high. How do you respond?
How do you keep your pipeline organised?
Tell me about a technical problem you solved on your own.
You find a bug right before a release. What do you do?