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)
• - Adapt security practices to fit the iterative and experimental nature of Reinforcement Learning and agent development
• - Partner with researchers to model threats specific to autonomous agents
• - Design secure-by-default architectures for autonomous agents
• - Architect security controls for the 'tools' the agent uses
• - Secure the training and simulation pipelines used for Reinforcement Learning
• - Lead AI Red Teaming exercises focused on behavioral manipulation
• - Develop incident response playbooks tailored for autonomous systems
• - 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
• - Proven experience securing Cloud infrastructure (GCP) and Kubernetes
• - Deep understanding of Authentication & Authorization
• - Direct, hands-on experience securing MLOps tooling

Benefits

• - Competitive compensation & meaningful equity
• - 100% remote company
• - Unlimited paid time off, with a required minimum of 20 days per year
• - Medical, dental, and vision insurance
• - Paid parental leave
• - Flexible stipends to support your workspace, well-being, and continued professional development
• - Company MacBook