Senior Product Security Engineer

Overview

Job Description

Responsibilities

• - Champion Secure Agentic AI Development: Drive the adoption of Phaidra’s Secure AI/ML Development Lifecycle (SAIDL) within the Agentic AI team.
• - Agentic Threat Modeling: Partner with researchers to model threats specific to autonomous agents.
• - Secure Agent Architecture & Safety Boundaries: Design secure-by-default architectures for autonomous agents.
• - Secure Agent Tools & Memory: Architect security controls for the tools the agent uses and the agent's long-term memory.
• - MLSecOps for RL Pipelines: Secure the training and simulation pipelines used for Reinforcement Learning.
• - Adversarial Testing & Red Teaming: Lead AI Red Teaming exercises focused on behavioral manipulation.
• - Incident Preparedness: Develop incident response playbooks tailored for autonomous systems.
• - Cross-Functional Partnership: Build strong relationships with the Agentic AI researchers, SREs, and Data Scientists.

Required Skills

• - Proven understanding of the security risks associated with Reinforcement Learning, Autonomous Agents, or automated decision-making systems.
• - Demonstrated experience working embedded with AI system developers and researchers.
• - 5+ years of work experience in product security, application security, or a closely related security engineering role.
• - Strong programming experience, ideally with Python or Go.
• - Familiarity with agent frameworks or RL libraries.
• - Proven experience securing Cloud infrastructure (GCP) and Kubernetes.
• - Deep understanding of Authentication & Authorization.

Benefits

• - Competitive compensation & meaningful equity.
• - Fast-paced, team-oriented environment.
• - Unlimited paid time off, with a required minimum of 20 days per year.
• - Medical, dental, and vision insurance.
• - Flexible stipends to support your workspace, well-being, and continued professional development.
• - Company MacBook.