Anthropic is looking to develop reliable, interpretable, and steerable AI systems to detect and respond to potential insider risk incidents.
Requirements
- Engineering experience with DLP, SIEM, EDR, NDR, and SOAR technologies
- Hands-on experience building or maintaining detection tooling and pipelines
- Experience with large-scale data pipelines and anomaly detection
- Track record of applying ML/AI to security problems
- Experience with on-boarding logs and building custom detections/automations for complex environments
- Direct experience building insider risk tooling
- Experience with forensic analysis, correlating disparate data sources and uncovering meaningful patterns of anomalous behavior
Responsibilities
- Support detection engineering for insider risk, contributing to the design and maintenance of detection rules, alerting logic and automation
- Develop, refine, and operationalize insider threat indicators, scenarios, and mitigation strategies
- Design, implement, and oversee data loss prevention (DLP) controls to safeguard sensitive information
- Partner with investigators on technical investigations into suspicious activities, and generate high-quality investigative reports, assessments, and briefings on findings
- Partner with engineering, IT and security teams to close visibility gaps and ensure telemetry coverage across endpoints, identity systems and collaboration tools
- Translate business requirements into tooling for Insider Risk investigators
- Build systems and integrations that allow the Insider Risk team to proactively detect and respond to potential insider risk incidents
Other
- Bachelor's degree in a relevant field or equivalent experience
- 5+ years in software engineering with a focus on security
- Ability to convey complex security issues to both technical and non-technical stakeholders with clarity and impact
- Collaborative mindset and ability to thrive in cross-functional environments
- Location-based hybrid policy: at least 25% of the time in one of our offices
- Visa sponsorship: we sponsor visas, but not for every role and every candidate
