Insider Risk Investigator - Technical & Human Intelligence

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.

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.

• 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
• 8+ years of experience in insider risk, corporate investigations or a related domain
• 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

• 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
• Certified Fraud Examiner (CFE) credential
• Experience with data exfiltration investigations across multiple vectors (email, cloud, removable media)
• Experience working in government, defense, or high-security environments

• 100% of the skills needed to perform the job
• All certifications or educational credentials listed
• Prior experience working in the AI field

Final date to receive applications:
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.

$245,000—$305,000 USD

Education requirements: We require at least a Bachelor s degree in a related field or equivalent experience.

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at…