Principal Security Researcher - Red Team

Remote work within the United States will be considered for highly qualified candidates. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Doctorate in relevant field AND 3+ years related research experience OR Master's Degree in relevant field AND 4+ years related research experience OR Bachelor's Degree in relevant field AND 6+ years related research experience OR equivalent experience. These requirements include, but are not limited to the following specialized security screenings: Hands-on expertise in offensive security, agent security, cloud or identity security, application security, exploitation or a closely related discipline. Experience designing security investigations that produce reproducible technical evidence and actionable remediation. Programming and engineering ability sufficient to build attack tooling, test harnesses, exploit prototypes and automated security tests. Experience testing large language models, agentic systems, tool use, plugins, connectors, multi-agent orchestration or AI-enabled security products. Experience with indirect prompt injection, cloud identity, authorization, sandboxing, container security, web or application exploitation, or offensive-security operations. Knowledge of secure agent architecture, least-privilege design, isolation boundaries, human-in-the-loop controls and high-fidelity security evaluation. Demonstrated ability to explain complex attack chains, severity and residual risk to engineers, product teams and senior decision-makers. Experience converting security findings into production mitigations, automated regression tests, architectural changes or durable security controls. Design and execute end-to-end attacks against agentic systems, AI-enabled security products, orchestration frameworks, tools, plugins, connectors, identities, permissions and isolation boundaries. Investigate indirect prompt injection, unsafe tool use, scope violations, privilege escalation, confused-deputy behavior, secret exposure, sandbox escape, cross-agent manipulation and tampering with human oversight. Build realistic attack chains using attacker-controlled telemetry, alerts, code, web content and other inputs that agents encounter in production workflows. Develop automated attack suites and high-fidelity test environments that continuously exercise model behavior, harness logic, tools, identity and representative product telemetry together. Create rigorous threat models, attack hypotheses and reproducible evidence; assess exploitability, severity and customer or governance impact. Partner with engineers, model researchers and product security teams to identify root causes and drive findings to verified remediation. Convert confirmed weaknesses into regression evaluations, adversarial scenarios, automated tests, stronger authorization boundaries and safer system designs. Communicate attack paths, findings and residual risk clearly to technical teams, leadership and independent reviewers. Track emerging agent attack techniques and real-world adversary behavior, then evolve MART methods, tooling and investments accordingly.