Senior Product Security Engineer

• Champion Secure Agentic AI Development: Drive the adoption of Phaidra's Secure AI/ML Development Lifecycle (SAIDL) within the Agentic AI team, adapting security practices to fit the iterative and experimental nature of Reinforcement Learning and agent development.
• Agentic Threat Modeling: Partner with researchers to model threats specific to autonomous agents, analyzing risks such as goal misalignment, reward hacking, infinite looping, and insecure tool execution.
• Secure Agent Architecture & Safety Boundaries: Design secure-by-default architectures for autonomous agents, defining deterministic safety guardrails between AI models and physical hardware controls, and applying Zero Trust principles.
• MLSecOps for RL Pipelines: Secure training and simulation pipelines for Reinforcement Learning, ensuring the integrity of simulation environments (Digital Twins) used to train agents.

This role creates positive change by ensuring the security and safety of AI-powered control systems that optimize industrial facilities, reducing energy consumption and improving operational efficiency while preventing potential physical degradation of critical hardware.

• Agentic AI & RL Security: Proven understanding of security risks associated with Reinforcement Learning, Autonomous Agents, or automated decision-making systems.
• AI Partnership: Demonstrated experience working embedded with AI system developers and researchers, understanding the bridge between probabilistic AI and deterministic code.
• Core Experience: 5+ years in product security, application security, or closely related security engineering roles.
• Technical Depth: Strong programming experience with Python or Go, familiarity with agent frameworks (e.g., LangChain) or RL libraries (e.g., Ray RLLib), experience securing Cloud infrastructure (GCP) and Kubernetes, and deep understanding of Authentication & Authorization for non-human identities.

• Competitive compensation & meaningful equity
• Medical, dental, and vision insurance (varies by region)
• Unlimited paid time off with a required minimum of 20 days per year
• Paid parental leave (varies by region)
• Flexible stipends for workspace, well-being, and professional development
• Company MacBook
• 100% remote work environment
• Fast-paced, team-oriented environment with outsized responsibilities
• Training programs including functional, customer immersion, and development training

Phaidra creates AI-powered control systems for the industrial sector, using reinforcement learning algorithms to enable industrial facilities to automatically learn and improve over time, focusing on applications with measurable KPIs like factories and power plants.