Senior Security Researcher – Red Team
Posted 11hrs ago
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Job Description
Senior Security Researcher conducting red-team operations against GenAI, deepfake, cloud, and voice-security systems. Strengthening Pindrop’s cybersecurity platform through offensive research and attack automation.
Responsibilities:
- Design and execute red team operations against Pindrop’s GenAI systems, LLM pipelines, RAG architectures, autonomous agents, APIs, SaaS products, and cloud environments
- Conduct adversarial testing for prompt injection, indirect prompt attacks, jailbreaking, model extraction, training-data poisoning, data leakage, inference abuse, and unauthorized output manipulation
- Use deepfake generation, voice synthesis, and spoofing techniques to test voice authentication and deepfake detection capabilities
- Develop attack chains combining GenAI vulnerabilities with infrastructure, application, identity, and API weaknesses
- Plan and execute penetration tests and support bug bounty efforts across web applications, APIs, SaaS products, and AWS/GCP environments
- Perform architecture reviews, security code reviews, and threat modeling focused on AI/ML vulnerabilities and LLM-facing services
- Build automation for offensive security workflows, testing, compliance checks, alerting, and reporting using Python or similar scripting languages
- Partner with SecOps and security engineering to improve detections, response workflows, remediation, and defensive improvements
- Monitor GenAI security research, adversarial ML techniques, threat intelligence, and regulatory developments and apply insights to Pindrop’s security program
Requirements:
- 3+ years of hands-on penetration testing and red team experience across SaaS applications, cloud infrastructure, APIs, and web applications
- Demonstrable experience attacking GenAI or LLM-based systems, including prompt injection, jailbreaking, indirect prompt attacks, model extraction, or adversarial input generation
- Hands-on experience with deepfake tools, voice synthesis, or audio/visual spoofing technologies in an offensive or research context
- Strong proficiency with offensive security tooling such as Burp Suite, OWASP ZAP, Nmap, Metasploit, Cobalt Strike, or equivalent frameworks
- Experience configuring and operating SAST and DAST tools and integrating them into CI/CD pipelines
- Proficiency in at least one scripting or programming language, with Python strongly preferred, for custom attack tooling and workflow automation
- Familiarity with AI-specialized security tools or frameworks such as Garak, PyRIT, Claude Security, or similar adversarial ML tooling
- Strong understanding of cloud security architecture, container security, API security, and common security standards including ISO 27001/27002, NIST, CIS, PCI DSS, OWASP, and SOC 2
- Prior software development or secure architecture experience, including the ability to reason about production code across multiple languages
- Research, publication, or deep practitioner background in adversarial machine learning, LLM security, or voice/audio deepfake detection
- Relevant certifications such as OSCP, GPEN, GWAPT, GXPN, CEH, or equivalent
- Prior experience in voice biometrics, AI security, fraud prevention, or similarly high-risk product environments
Benefits:
- Competitive compensation, including equity for all employees
- Unlimited Paid Time Off (PTO)
- Remote-first culture


















