Insider Risk Investigator - Technical & Human Intelligence
Summary
Anthropic is seeking a senior Insider Risk Investigator to lead end-to-end insider threat investigations, combining technical log analysis (SIEM, DLP, UEBA) with human intelligence tradecraft (interviews, OSINT, counterintelligence). The role sits at the intersection of security operations, legal, HR, and executive stakeholders, and requires strong AI-native workflows using Claude.
About the role
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 seeking an exceptional Insider Risk Investigator with expertise in both human and technical investigations to support and protect Anthropic's mission. The Insider Risk Team works cross-functionally to deter, identify, investigate and mitigate risks to Anthropic's most critical assets—our people, our data, and our infrastructure.
Responsibilities
- Triage custom technical detection alerts
- Independently conduct end-to-end insider risk investigations while working closely with IT, Detection and Response, Legal, HR and other cross-functional teams
- Monitor and triage external threats targeting employees
- Conduct sensitive interviews of employees or other involved parties
- Perform technical analysis of logs from SIEM, DLP, UEBA systems
- Leverage AI tools (Claude, Claude Code) to accelerate investigation workflows and data analysis
- Build and maintain investigation documentation
- Assist in iterating and improving on processes, procedures and systems to detect, mitigate and investigate insider risks
- Work cross-functionally to develop, refine and operationalize insider risk indicators, scenarios and mitigation strategies
- Provide rapid-turnaround security assessments to support business operations
- Support education and awareness programs to promote a robust security culture
- Serve as the subject matter expert for insider risk and provide training to team members as needed
You may be a good fit if you have
- Bachelor's degree and/or higher education in a related field
- 5-8 years of experience in insider risk, corporate investigations or a related domain
- 3-5 years experience in conducting investigative interviews
- Experience conducting OSINT for threat assessment, or counterintelligence
- Experience leveraging DLP, UEBA, SIEM, SOAR and other insider risk security tooling for detections and investigations
- Broad understanding of internal and external investigations, cybersecurity, interview techniques, risk assessment and managing strong cross-functional relationships
- Ability to communicate complex security findings clearly and concisely to non-technical stakeholders (written and verbal)
- Track record of rapid response to time-sensitive security requests
- Comfort operating across organizational boundaries (Security, People, Legal, IT)
- Exceptional communication, collaboration skills and the ability to lead projects with little guidance
- Demonstrated ability to operate independently with minimal oversight while managing sensitive cases
Strong candidates may also have
- Experience working in the technology industry or at/with AI/ML companies
- Experience with counterintelligence investigations and nation-state threat actor TTPs
- Background in open-source intelligence collection and analysis
- Track record of AI/LLM adoption for productivity gains in investigative work
- Experience contributing to a high growth startup environment
- Specialized knowledge of risks unique to the AI sector
- Experience with data exfiltration investigations across multiple vectors (email, cloud, removable media)
- Experience working in government, defense, or high-security environments
What makes you successful here
- Entrepreneurial mindset: You see gaps and fill them without being asked
- Technical + human balance: Equal comfort analyzing log data and conducting sensitive interviews
- AI-native approach: You leverage LLMs to work smarter, not just harder
- Mission alignment: You understand AI safety stakes and insider risk's role in protecting that mission
- Judgment under uncertainty: You make sound decisions with incomplete information
- Clear communicator: You distill complex findings into actionable insights for diverse audiences
- Cross-functional navigator: You build relationships and collaborate effectively across teams
Deadline to apply: None. Applications will be received on a rolling basis.
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.
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
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Anthropic is an AI safety company building Claude, one of the most capable large language models in the world. Founded by former OpenAI leaders, Anthropic focuses on developing reliable, interpretable, and steerable AI systems. The company has raised over $7 billion and partners with Amazon and Google on frontier AI research.