To apply, send us your resume and anything else you'd like to [email protected]

About Amigo

We're helping enterprises build autonomous agents that reliably deliver specialized, complex services—healthcare, legal, and education—with practical precision and human-like judgment. Our mission is to build safe, reliable AI agents that organizations can genuinely depend on. We believe superhuman level agents will become an integral part of our economy over the next decade, and we've developed our own agent architecture to solve the fundamental trust problem in AI. Learn more here.

Role

As an Agent Product Manager at Amigo, you'll lead the design and requirements definition for AI agents deployed in enterprise environments. Working within our Field Operations team, you'll collaborate with domain experts to map problem spaces, define service boundaries, and establish success metrics for agent implementation. You'll serve as the critical bridge between customer business objectives and our technical implementation team, ensuring agents deliver measurable value in high-stakes domains. This role is essential for our strategy of enabling teams of non-technical domain experts to collaborate effectively on agent development, translating their expertise into powerful AI capabilities that solve real business challenges.

Responsibilities

• Partner with enterprise domain experts to map problem spaces and define the scope of agent implementations
• Conduct structured expert interviews to capture reasoning patterns, service delivery mechanisms, and critical decision points
• Facilitate onboarding workshops to define specific service experiences to be implemented
• Design context density planning and red-lining boundaries for agent implementations
• Translate domain expertise into clear requirements for Agent Engineers
• Develop comprehensive roadmaps for customer implementations that align with business objectives
• Define success metrics that quantify performance against customer goals
• Analyze user feedback and agent performance data to identify improvement opportunities
• Create and maintain documentation for agent capabilities, limitations, and usage guidelines
• Build deep understanding of customer domains to ensure agents appropriately reflect expert knowledge