Overview
Senior Product Security Engineer responsible for securing product features and AI-powered systems, while using AI-assisted tooling to scale security operations.
What you'll do
- Conduct security reviews and threat modeling for product, AI/ML, and LLM-backed features.
- Develop security tooling, guidelines, standards, and CI/CD integrations.
- Identify and remediate AI-specific risks, including prompt injection, data leakage, excessive agency, and jailbreaks.
- Build adversarial testing, red-team exercises, regression tests, evaluations, and detection coverage.
- Establish guardrails, monitoring, rate limiting, logging, and AI incident playbooks.
- Build AI-assisted workflows for vulnerability triage, code review, remediation guidance, and documentation.
- Partner with engineering, product, ML/AI, data, legal, and privacy teams.
What you'll need
- 5+ years in product security, application security, or software engineering.
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Experience with security testing, threat modeling, penetration testing, or AI red-team exercises.
- Experience building internal tooling or agentic automation using LLM APIs.
- Proficiency in at least one programming language, such as Python, Java, or C#.
- Knowledge of web, mobile, cloud, cryptography, and AI security.
- Ability to collaborate and communicate security recommendations to technical and non-technical audiences.
Details
- Remote in Georgia, United States.
Read the full description and apply on the company’s own careers page.
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