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Senior Security Researcher (Red Team)

Other Full-time Permanent United States

Job details

$125,000—$165,000 Salary
United States Eligibility
Senior Experience
Full-time Employment

About this role

Role overview

As a Senior Security Researcher on a red team, you will proactively discover and demonstrate weaknesses across cloud infrastructure, applications, APIs, SaaS products, and AI-enabled systems. The role combines hands-on offensive security with GenAI attack simulation, deepfake and voice-spoofing research, security automation, and close partnership with defensive, product, and machine-learning teams.

Responsibilities

- Plan and execute red-team operations against LLM pipelines, retrieval-augmented systems, autonomous agents, APIs, SaaS products, and cloud environments. - Test for prompt injection, jailbreaks, indirect attacks, model extraction, training-data poisoning, data leakage, inference abuse, and manipulated outputs. - Use voice synthesis, deepfake generation, and related spoofing methods to evaluate authentication and synthetic-media defenses. - Build realistic attack chains combining AI, application, identity, infrastructure, and API weaknesses. - Conduct penetration tests, support bug-bounty activity, and perform architecture reviews, code reviews, and threat modeling. - Automate offensive-security workflows, testing, reporting, alerting, and compliance checks, then partner with defensive teams to improve detections and remediation.

Requirements

- At least 3 years of practical penetration-testing or offensive-security experience. - Demonstrated hands-on work attacking AI systems, LLM applications, cloud platforms, APIs, or modern web applications. - Strong understanding of common web, API, identity, infrastructure, and cloud attack techniques. - Ability to script in Python or a similar language and develop or adapt offensive-security tooling. - Clear communication skills, including the ability to turn technical findings into prioritized guidance for technical and executive audiences. - Independence, curiosity, resilience, and sound judgment in ambiguous, fast-moving environments.

Nice to have

- Experience in adversarial machine learning, LLM security, voice or audio deepfake detection, fraud prevention, or voice biometrics. - Certifications such as OSCP, GPEN, GWAPT, GXPN, CEH, or comparable credentials. - Familiarity with evolving GenAI threat research, threat intelligence, or relevant regulatory developments.

Benefits and work setup

- Remote-first environment with periodic team gatherings and company events. - Equity eligibility, unlimited paid time off, health and welfare plans, and employer HSA contributions. - Paid parental leave, connectivity support, professional-development funding, and enhanced fertility and wellness benefits.

Skills detected in the listing

PythonStakeholder ManagementInformation SecurityAWSGCPMachine LearningLLM
Detected Sep 18, 2026
Last verified Sep 18, 2026

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