Product Manager, AI Agent Security — Secure Enterprise Deployments

Capitolis; California (MO); On-site; USD 125,000 - 165,000; Full time

Job summary

Dynamo AI is hiring a Product Manager for AgentWarden (Agent Security) to own the roadmap, work with enterprise security teams, and translate customer needs into production-ready requirements. You will collaborate closely with engineering and research to ensure secure, trusted AI agents across deployment lifecycles and address risk, tooling, and governance considerations.

You will spend significant time with customers, perform pre-deployment risk assessments, and help define pilots that scale

Qualifications

• 2 to 4 years of product management experience, preferably in security, developer tools, or AI/ML products sold to enterprises.
• Hands-on familiarity with agent tooling including MCP and at least one agent framework such as LangGraph, the OpenAI Agents SDK or CrewAI.

Responsibilities

• Own the AgentWarden roadmap against a defined set of customer problems and success metrics.
• Lead customer discovery and pilot engagements with enterprise security and AI platform teams, and present to senior security stakeholders.
• Identify the buyer, the approver and the operator for each deployment, and shape pilots around their needs.
• Write requirements for engineering and research to build and evaluate against, including test sets and acceptance criteria.
• Track agent frameworks and related threat research, updating the roadmap as they change.
• Collaborate with PMs on shared policies, evaluations and alerting.

Skills

Product management

Security knowledge

Enterprise AI

Customer discovery

Tools

LangGraph

OpenAI Agents SDK

CrewAI

Job description

Dynamo AI is hiring a Product Manager for AgentWarden (Agent Security) to own the roadmap, work with enterprise security teams, and translate customer needs into production-ready requirements. You will collaborate closely with engineering and research to ensure secure, trusted AI agents across deployment lifecycles and address risk, tooling, and governance considerations.

You will spend significant time with customers, perform pre-deployment risk assessments, and help define pilots that scale