Insider Risk Investigator
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
At least 1-2 years of private sector experience
Experience conducting OSINT for threat assessment, or counterintelligence
Experience leveraging DLP, UEBA, SIEM, SOAR and other insider risk security tooling for detections and investigations
Knowledge of open source research techniques and tooling
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
Candidates need not have
100% of the skills needed to perform the job
All certifications or educational credentials listed
Prior experience working in the AI field
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.
Annual Salary:
$245,000—$305,000 USD