Product Manager - Agentic AI & Security

We are seeking a Product Manager with hands-on expertise in agentic AI systems and a solid understanding of the security risks unique to AI agents. This role is ideal for someone early in their product management career (1–3 years) who brings a technical background in AI or security and is ready to take on meaningful ownership of product initiatives.

You’ll help define and deliver products that secure AI agents access to SaaS and tools. You will work cross-functionally with engineering, research, and security teams to turn technical innovation into customer-ready solutions.

Responsibilities

• Product Ownership & Execution
  
  
• Define and prioritize product requirements and user stories for AI agent–driven features.
• Collaborate with engineering on designing secure, scalable implementations.
• Manage the product lifecycle from ideation through launch and iteration.
  
  
• Security & Risk Management
  
  
• Anticipate and document security vulnerabilities in AI agents (e.g., prompt injection, data leakage, adversarial inputs, unauthorized actions).
• Partner with security and compliance teams to design controls and safeguards.
• Stay current on emerging AI governance, red-teaming, and regulatory frameworks.
  
  
• Customer & Market Research
  
  
• Conduct research with enterprise users and security practitioners to understand adoption barriers and risks.
• Track industry developments in agentic AI and AI security to inform the roadmap.
  
  
• Cross-Functional Collaboration
  
  
• Work with design, product marketing, and customer success to ensure successful product adoption.
• Translate highly technical AI/security concepts into clear product narratives for stakeholders.
  
  

Qualifications

• Required
  
  
• 1–3 years of product management experience in software or SaaS.
• Engineering or technical background (degree or equivalent experience in computer science, machine learning, or cybersecurity).
• Demonstrated knowledge of agentic AI systems (e.g., LLM-based agents, orchestration frameworks, autonomous workflows).
• Strong understanding of AI security risks (e.g., prompt injection, privilege escalation, model manipulation, compliance gaps).
• Excellent communication skills and ability to bridge technical and business needs.
  
  
• Preferred
  
  
• Experience in cybersecurity or AI risk research.
• Familiarity with enterprise SaaS, SOC workflows, or compliance frameworks.
• Contributions to open-source AI/security projects or research communities.