Security Researcher

Who We Are

Pindrop is a cybersecurity company delivering continuous identity verification across voice, video, and digital interactions. Powered by the Pindrop Intelligence Network, our unified trust platform helps enterprises answer three critical questions:

Is this identity synthetic? Detect AI-generated and manipulated voice and video.
Is this identity risky? Identify fraud, suspicious behavior, and other risk signals.
Is this identity known? Authenticate identities using voice, device, behavioral, and other signals.

Pindrop brings this intelligence together across purpose-built trust engines to help organizations make informed decisions in real time — protecting customers, workforce interactions, and emerging AI-driven interactions.

Pindrop protects billions of high-risk interactions for enterprises, including leading financial institutions, insurers, and healthcare organizations. Its technology is informed by more than 8 billion real-world interactions annually and protected by 300+ patents.

Recognized by TIME as one of the 10 Most Influential Software Companies of 2026 and by Inc. for Best in Business for Innovation, Pindrop is backed by leading investors including Andreessen Horowitz, IVP, and CapitalG.

What you’ll do

As a Senior Security Researcher (Red Team), you will help Pindrop proactively identify and exploit weaknesses across product, cloud, and AI-powered systems so we can strengthen defenses before adversaries do. This role blends hands-on offensive security, GenAI attack simulation, security engineering, and operational partnership with blue-team, product, and AI/ML stakeholders.

• Design and execute red team operations against Pindrop’s GenAI systems, LLM pipelines, RAG architectures, autonomous agents, APIs, SaaS products, and cloud environments, simulating real-world attacks across both traditional and AI-specific attack surfaces.
• Conduct adversarial testing focused on 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 related spoofing techniques to test and attempt to defeat Pindrop’s voice authentication and deepfake detection capabilities, helping identify model robustness and detection gaps.
• Develop novel attack chains that combine GenAI vulnerabilities with infrastructure, application, identity, and API weaknesses to create realistic end-to-end threat scenarios.
• Plan and execute full-scope penetration tests and support bug bounty efforts across Pindrop’s web applications, APIs, SaaS products, and AWS/GCP environments using commercial and open-source offensive tooling.