About the job
About Amigo
At Amigo, we collaborate with healthcare organizations to implement advanced AI solutions that enhance the experience for both patients and providers. Our AI agents streamline clinical workflows and facilitate patient engagement throughout the entire healthcare journey, including pre-visit intake, care navigation, post-visit care plans, patient monitoring, and more.
Having recently completed our Series A funding round backed by prestigious investors such as Madrona, General Catalyst, and Optum Ventures, our efforts have been validated by leading academic medical institutions. With over 3 million patient encounters and a goal to 10x that this year, we are poised for significant growth.
Role Overview
As a Product Manager specializing in Applied AI at Amigo, you will be responsible for ensuring the quality and effectiveness of our AI agents for designated clients. This entails leading the capture of domain expertise by conducting structured interviews with clinicians to glean insights into their reasoning patterns, which will then inform our agent design decisions. You will delineate the responsibilities of our agents (Operational Patient Domains), develop evaluation strategies to assess their effectiveness, and oversee the metrics that define our success.
Key Responsibilities
- Facilitate structured interviews with clinical teams to capture critical reasoning patterns, decision frameworks, edge cases, and escalation criteria that will inform agent design.
- Establish clear Operational Patient Domains (OPDs) that define the scope of agent responsibilities versus human escalation, including documented protocols and capabilities.
- Design agent behaviors and communication strategies that encompass patient interactions, manage sensitive topics, and uphold clinical boundaries.
- Lead the evaluation strategy for your clients, identifying metrics that reflect true quality, setting performance thresholds, and creating test scenarios to cover various edge cases.
- Oversee the agent improvement cycle by analyzing conversation data to uncover systemic trends, prioritizing enhancements based on patient outcomes, coordinating with engineering teams for implementation, and validating results.
- Manage client relationships independently, conducting regular updates, managing expectations during incidents, presenting performance reviews, and aligning project priorities.
- Define dynamic behavior specifications for agents, outlining trigger conditions and success criteria for various patient interactions such as appointment reminders and care plan follow-ups.