Compliant-Ready AI for the Enterprise. Backed by Y Combinator.
About the role
Enterprises want to deploy AI agents that read internal data, call tools and take actions. Their security teams often lack the means to approve these agents with confidence. AgentWarden secures agents across that lifecycle, from risk assessment before deployment through runtime monitoring and incident response. As its Product Manager, you will own the problem of getting agents approved and operating safely in production. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 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 such as LangGraph, the OpenAI Agents SDK or CrewAI. You should be able to build a simple agent yourself
- Working knowledge of LLM and agent threats, such as prompt injection, excessive agency and data exfiltration, and of references such as the 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
More about this role
Dynamo AI builds the platform enterprises use to bring AI applications to production and keep them there. Our products cover risk assessment, evaluation, runtime guardrails and observability for generative AI and agentic systems. We work with enterprises in regulated industries, including financial services, insurance, healthcare and defense.
Enterprises want to deploy AI agents that read internal data, call tools and take actions. Their security teams often lack the means to approve these agents with confidence. AgentWarden secures agents across that lifecycle, from risk assessment before deployment through runtime monitoring and incident response. As its Product Manager, you will own the problem of getting agents approved and operating safely in production. You will work with our engineering and research teams and directly with customers' security, platform and AI teams.
In your first months you will focus on agent risk assessment. This includes identifying risky combinations of tools and permissions, such as agents that pair access to private data with exposure to untrusted content and the ability to communicate externally. It also includes analyzing the third-party tools...
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