Principal Cyber Investigator
New
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10a LabsAI cybersecurity
Fully remote, U.S.-basedContractPrincipal
Salary150,000 - 180,000 USD per year
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Job Details
- Languages
- Full professional proficiency in Arabic, Chinese, Farsi, Portuguese, Russian, or Spanish
- Experience
- At least 9+ years of experience
- Required Skills
- PythonSQLCybersecurityDql
Requirements
- Have at least 9+ years of experience in cybersecurity, threat intelligence, Trust & Safety, national security, defense, intelligence, or law enforcement.
- Hold a bachelor's degree in Computer Science, Information Security, or a related field, or have equivalent practical experience.
- Have experience leading or managing investigative or review teams, including oversight of quality, output, and team development.
- Bring deep subject-matter expertise in one or more of scaled data extraction, ransomware, local and remote exploits, or offensive security operations.
- Be familiar with LLM systems and how AI technology can be misused for cyber operations.
- Have a track record of serving as a final technical authority on complex cases and making sound judgments about harm potential and offensive uplift.
- Demonstrate strong SQL, Python, and other data-language proficiency for querying data and validating investigative output.
- Have experience presenting findings to senior stakeholders and strong written and verbal communication skills.
- Be able to context-switch across domains, modalities, and abuse areas in a fast-paced, ambiguous environment.
- Be able to clear an insider-threat background check.
- Preferred: experience with frontier AI labs, large technology platforms, or Trust & Safety organizations; MITRE ATT&CK; dark web monitoring, OSINT, or cross-platform threat analysis; or building detection and mitigation pipelines.
- Preferred: active security clearance (Secret or above), or certifications such as OSCP, GREM, or GCTI.
Responsibilities
- Oversee day-to-day operations of the embedded team, ensuring exchange labeling and review follow the client's rubric and review guide.
- Make determinations on real-world harm potential and offensive uplift in complex and escalated cases.
- Monitor team quality and consistency metrics, identify gaps, and improve review processes.
- Communicate findings and emerging trends to client stakeholders and align on evolving policy and rubric.
- Mentor and develop senior and junior investigators on technically demanding and ambiguous cases.
- Lead organization-level analysis of actor behavior and synthesize patterns across exchanges to inform detection and mitigation efforts.
- Query internal data sources using DQL and programmatic methods, and cross-reference open-source information to support reviews and validate team output.
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