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Dynamo AI builds a platform for enterprises to deploy and secure AI applications in production, with products covering risk assessment, evaluation, runtime guardrails and observability for generative AI and agentic systems. The company works with enterprises in regulated industries including financial services, insurance, healthcare and defense.
As Product Manager for AgentWarden, you will own the problem of getting AI agents approved and operating safely in production. AgentWarden secures agents across their full lifecycle, from risk assessment before deployment through runtime monitoring and incident response. You will work with engineering and research teams and directly with customers' security, platform and AI teams.
In your first months, you will focus on agent risk assessment—identifying risky combinations of tools and permissions (e.g., agents pairing access to private data with exposure to untrusted content and external communication ability), analyzing third-party tools agents connect to, and understanding agent runtime behavior. You will spend significant time with customers narrowing down which agent risks block their deployments, identifying economic buyers, and turning pilots into scoped product requirements.
Key responsibilities include:
- Own the AgentWarden roadmap against defined customer problems and success metrics
- Lead customer discovery and pilot engagements with enterprise security and AI platform teams; present to senior security stakeholders
- For each deployment, identify the buyer, approver and operator, and shape pilots around what each needs to proceed
- Write requirements for engineering and research, including test sets and acceptance criteria
- Track agent frameworks, MCP, agent platforms and threat research; update roadmap as they evolve
- Collaborate with DynamoGuard and DynamoEval PMs on shared policies, evaluations and alerting
- Work on pre-deployment risk assessment, red teaming for agents, runtime controls for agent actions, and alerting/investigation for agent incidents
REQUIREMENTS:
- 2 to 4 years of product management experience, preferably in security, developer tools, or AI/ML products sold to enterprises
- Hands-on familiarity with how agents are built, including tool calling, MCP, and at least one agent framework (LangGraph, OpenAI Agents SDK, CrewAI); ability to build a simple agent yourself
- Working knowledge of LLM and agent threats (prompt injection, excessive agency, data exfiltration) and references such as OWASP Top 10 for LLM Applications
- Ability to read Python or TypeScript well enough to review scanner findings and discuss detection approaches with engineers
- Experience running customer discovery with technical buyers and converting it into scoped requirements
- Clear written and verbal communication, including presenting to enterprise security leaders
- Willingness to spend 4 to 6 weeks per year at customer sites, and more during large contract engagements
NICE TO HAVE:
- Background in security engineering, application security, red teaming or detection engineering
- Experience with products that produce findings or alerts for SOC or AppSec teams
- Experience deploying into financial services or other regulated industries
