Product Manager, Applied AI

Reposted 8 Days Ago
New York City, NY, USA
In-Office
150K-170K Annually
Mid level
Artificial Intelligence • Enterprise Web • Healthtech • Software
Building healthcare AI systems organizations stake their reputations on—trust & safety infrastructure for clinical agent
The Role
The Product Manager will lead agent quality, design evaluation strategies, manage customer relationships, and coordinate cross-functional efforts in a healthcare AI setting.
Summary Generated by Built In
About Amigo

Amigo partners with healthcare organizations to deploy robust AI infrastructure that directly serves patients and providers. Our agents handle clinical workflows and patient engagement across the entire journey: pre-visit intake, care navigation, post-visit care plans, patient monitoring, and more.

We're fresh off our Series A backed by Tier 1 investors like Madrona, General Catalyst, and Optum Ventures. Our work is validated with leading academic medical institutions. Our agents have reached 3M+ patient encounters and are on track to 10x this year.

About this role

As an Agent PM at Amigo, you'll own agent quality and outcomes for your assigned customers. You'll lead domain expertise capture -- running structured interviews with clinicians to understand their reasoning patterns -- and translate that expertise into agent design decisions. You'll define what agents should and shouldn't do (Operational Patient Domains), design the evaluation strategy that proves they're working, and own the metrics that customers judge us by. This role requires deep judgment about where to draw boundaries in clinical AI.

What you'll do
  • Lead structured domain expertise interviews with clinical teams -- capturing reasoning patterns, decision frameworks, edge cases, and escalation criteria that become agent design inputs

  • Define Operational Patient Domains (OPDs): explicit scope boundaries for what agents handle vs. what gets escalated to humans -- with documented inclusions, exclusions, capabilities, and handoff protocols

  • Design agent behaviors and communication patterns: how agents greet patients, handle sensitive topics, manage frustration, respect clinical boundaries, and maintain appropriate tone across diverse populations

  • Own the evaluation strategy for your customers: define what metrics capture real quality (not gaming-prone proxies), set thresholds, design test scenarios that cover edge cases, and interpret results

  • Manage the agent improvement cycle: analyze conversation data to find systemic patterns, prioritize fixes based on patient impact, coordinate implementation with engineers, and verify outcomes

  • Own customer relationships independently -- running regular syncs, managing expectations during incidents, presenting performance reviews, and aligning on roadmap priorities

  • Design dynamic behavior specifications: define trigger conditions, instructions, and success criteria for contextual agent behaviors (appointment reminders, medication adherence, care plan follow-ups)

  • Coordinate cross-functional work across engineering, clinical affairs, and customer success to drive deployment milestones

  • Build and maintain the customer knowledge base: agent scope documents, clinical protocols, known limitations, and improvement history

What we're looking for
  • 2-4 years of experience in product management, technical program management, or a domain expert role at a technology company

  • Experience working directly with domain experts (clinicians, lawyers, financial advisors) to extract and codify specialized knowledge

  • Strong analytical skills -- you can look at conversation metrics and distinguish signal from noise, identify systemic patterns vs. one-off issues, and prioritize by patient impact

  • Understanding of AI/ML systems at a conceptual level -- you don't need to write code, but you understand how LLMs work, why they sometimes fail, and what makes prompt engineering different from traditional software

  • Experience defining product scope and boundaries -- you've made "what's in / what's out" decisions and can defend them to stakeholders

  • Ability to communicate technical concepts to clinical audiences and clinical requirements to engineering teams

  • Track record of owning outcomes, not just activities -- you measure success by patient impact, not by features shipped

  • Project management discipline -- you manage multiple workstreams, track dependencies, and surface blockers before they become crises

Nice to have
  • Healthcare domain experience: clinical operations, health tech, digital health, or pharma

  • Experience with conversation design, chatbot products, or voice AI

  • Background in quality assurance, evaluation design, or measurement methodology

  • Familiarity with clinical workflows, EHR systems, or healthcare compliance (HIPAA)

  • Experience managing enterprise customer relationships

  • SQL or data analysis skills for deeper metric exploration

Benefits

Health & Wellness
  • Comprehensive health, dental, and vision insurance

  • Daily catered lunch and dinner

  • Mental health support and wellness coaching

  • Flexible wellness stipend for fitness, therapy, or personal growth

Growth & Development
  • Annual learning budget for courses, books, or conferences

  • Conference attendance budget for professional development

  • Annual team offsite

  • Academic collaboration opportunities

  • Unlimited PTO

Our Core Values
  1. Patients Win, We Win

    If patients aren't getting better care, we haven't earned the right to scale. Every internal decision gets pressure-tested: does this make patients' lives better? If we can't draw the line, we question why we're doing it.

  2. High Standards, High Care

    We hold a high bar for the team because patients are counting on us to get this right. But high standards only work with genuine investment in each other. You can take risks, admit mistakes, and challenge ideas—not despite our standards, but because of them.

  3. Thoughtful Urgency

    We move fast by default, but speed without judgment is recklessness. The discipline is knowing which decisions are reversible vs. not. In healthcare AI, the companies that win will be fast everywhere they can be and careful everywhere they must be. We build the muscle to do both.

  4. Intensely Measured

    We instrument patient outcomes, provider ROI, system performance, and clinical accuracy. But data without action is surveillance. Every metric should have an owner, a threshold, and a response plan. If we're measuring something but never acting on it, we stop measuring it.

Who Builds With Us
  • Low ego: Politics and territory don't interest you. The best ideas win, regardless of who has them.

  • Direct: You say the hard thing, challenge ideas openly, and commit fully once decided.

  • High agency: You thrive on trust rather than instruction. When you see something is broken, you fix it. You don’t file tickets and wait for someone else.

  • Bar of excellence: You hold yourself to a bar most people wouldn't, and you want teammates who do the same.

  • Skeptical: You push back on rules that don’t make sense and question assumptions that haven’t earned their place.

Top Skills

AI
Ml
SQL
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The Company
HQ: New York, New York
30 Employees
Year Founded: 2024

What We Do

Amigo AI builds trust and safety infrastructure for clinical agents—ensuring AI systems in healthcare provide quantified confidence when mistakes aren't an option. Our platform combines advanced simulation, verification, and recursive optimization to enable healthcare organizations to deploy AI with statistical guarantees about its behavior. We solve the fundamental challenge of reliable AI in critical domains through deterministic verification for clinical protocols and continuous drift detection for real-world performance. Our systems provide complete transparency—every AI decision is traceable and auditable, with quantified confidence intervals rather than black box predictions. Founded by technologists from Google, Meta AI, Databricks, Coda, and Plaid, we've built systems that let organizations make informed risk decisions about AI deployment in healthcare. Our interdisciplinary approach draws from computer science, economics, physics, and mathematics to tackle human-centric optimization problems where people and populations are at the center of every solution. We're actively working with healthcare organizations across digital health, cancer care, cardiac care, and personalized medicine to deploy AI systems that continuously learn and adapt from real-world feedback while maintaining verified safety boundaries. Our technology amplifies human expertise rather than replacing it, empowering domain experts to achieve outcomes neither could accomplish alone.

Why Work With Us

We build AI healthcare systems where 99% isn't good enough. Rapid growth—promotions in 3 months. Freedom to work your way: art museums or late nights. Tackle recursive optimization problems that ship to production. Your work directly impacts critical healthcare decisions. Diverse team from Google, Meta AI, Databricks solving problems that matter.

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