Principal Researcher, AI Red Teaming (Remote, ITA)

Research (about half of your time):

• Bring the research subjects. Propose and prioritise the attack classes, agent target classes and frontier model behaviours the team studies, with a written rationale for each and a kill date.
• Red team frontier models and the agentic systems. Track how each model release shifts attack success, agent behaviour and the controls that hold, and publish the result.
• Conduct vulnerability research and security assessments on agentic ecosystems end to end: hypothesis, exploit, observed action, disclosure, patch verification.
• Deliver state-of-the-art research: internal research notes on a monthly cadence, external papers, conference talks and coordinated disclosures with vendor credit.
• Investigate failure modes personally where the evidence is hardest to get: multi-agent systems, long-horizon tasks, defences that look like they work.

Tooling for research and red teaming:

• Design and write the tooling the research depends on: attack harnesses, action-trace capture, tool-call interception, payload converters, isolated lab targets and reproducible experiment runners.
• Turn each finding into a reusable attack module with an executing payload test in the team's automated AI security testing platform, and set the engineering bar for how that is done.
• Define the shared formats for attack content and action traces so red team output can be scored, replayed and reused by the benchmarking work without conversion.

Technical guidance (no people management):

• Own the external research agenda for AI red teaming: which venues, which disclosures, which collaborations, and the quality bar for anything that leaves the team.
• Review benchmark methodology from the other pillar for attacker realism, and accept review of your own findings for evidence quality.
• Communicate findings, limitations and risk clearly to engineering, product owners, legal and executives. Report what was not tested as plainly as what was.

• A public record of original security research: CVEs, coordinated disclosures, conference talks or peer-reviewed papers that you led. For this level we expect the record to be substantial and verifiable.
• Deep hands-on expertise in offensive security: exploitation, vulnerability research or red teaming, with the ability to find and demonstrate a vulnerability end to end yourself.
• Demonstrated research on LLMs or agentic systems: prompt and environment injection, tool-use abuse, jailbreaks, multi-agent attacks, or model evaluation under adversarial conditions. Shareable artifacts required.
• Strong Python and systems engineering skills. You write the harnesses, interceptors and converters the team runs on, and you review others' code to a production standard.
• Practical understanding of how agentic systems are built: tool use, planning loops, MCP, memory, sandboxing, and where trust boundaries sit.
• Experience setting technical direction for other researchers as a tech lead or principal, with evidence that people you worked with went on to lead work themselves.
• Exceptional written communication. Your research notes, disclosures and papers are the team's external face.

• Published research on AI security, agent security or adversarial machine learning at recognised venues.
• Experience red teaming frontier models directly, or working with frontier model providers on disclosures.
• Patents or shipped tooling in automated red teaming, agent evaluation or security testing.
• Experience with isolated lab design: sandboxing, egress control, C2 sinkholes, telemetry retention.

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Benefits of Working at CrowdStrike:

• Market leader in compensation and equity awards
• Comprehensive physical and mental wellness programs
• Competitive vacation and holidays for recharge
• Paid parental and adoption leaves
• Professional development opportunities for all employees regardless of level or role
• Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
• Vibrant office culture with world class amenities
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CrowdStrike Italy s.r.l. is committed to fair and equitable compensation practices. Placement within the stated pay range is dependent on a variety of factors, including, but not limited to, relevant work experience, skills, qualifications, job level, supervisory status, and location. The pay range for this position for all candidates based in Italy is fixed salary of €106,000 - €162,800 per year base pay. This role is also eligible for additional bonus/commission pay. The role holder would also be eligible for a comprehensive benefits package (including medical and dental insurance, access to Modern Health wellbeing resources, life and disability coverage).