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 Head of Applied AI at Amigo, you’ll lead the Applied AI Engineers and Deployment Strategists who deploy our technology inside major health systems, life sciences, payor organizations, and government entities. Amigo isn’t a point solution. We’re the infrastructure our customers build their agents on, and the Applied AI team is how that platform becomes agents clinicians and patients actually use.

You’re accountable for what the field delivers end to end, from fast time-to-value to real clinician adoption to Amigo’s expansion inside each account. The core of the job is building the team, the playbooks, and the quality bar as Amigo takes on more customers with deeper integrations. You’ll be working with product, growth, and leadership to shape Amigo’s field and platform strategy.

What you’ll do

• Hiring and growing the field team, and developing the leaders inside it
• Owning Applied AI-wide outcomes across the customer portfolio, from time-to-value to clinician adoption to customer health
• Setting the reference architectures, standards, and playbooks that every deployment is built within
• Acting as the team’s voice to product and leadership on what customers need and where the platform goes next
• Staying close to the hardest deployments and most senior stakeholders to hold the line on scope, timelines, and quality

What we’re looking for

• Experience leading customer-facing delivery, forward-deployed, or solutions teams, ideally in healthcare technology, enterprise SaaS, or consulting
• Direct experience in healthcare delivery environments (clinical operations, hospital administration, or health system strategy)
• Real technical depth, you’ve shipped production software or AI systems and can make architecture and tradeoff calls with your engineers, not around them
• Demonstrated ability to build trusted relationships with senior stakeholders across clinical leadership, IT, operations, finance, and compliance
• Experience with LLMs and agent systems
• A track record hiring, growing, and developing leaders, raising the bar of a whole team rather than delivering as an individual
• Strong business acumen, comfortable with ROI models, unit economics, and quantifying operational impact
• Low ego, direct, and holds yourself and your team to a high bar
• Able to work on site in New York City or San Francisco

Benefits (available to Full-Time Employees)

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

• 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.

• 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.

• 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.

• Intensely Measured

  We instrument patient outcomes, provider ROI, system performance, and clinical accuracy. But data without action is survei…