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 roleAs a Sales Engineer at Amigo, you'll be the technical imagination behind every deal. You'll hack together compelling POCs, live demos, and experimental AI experiences that show prospects what's possible—not just what exists today. You're the person who takes a vague customer problem, disappears for a few hours, and comes back with a working prototype that makes the room say "holy shit."
This role exists so our Applied AI Engineers can stay focused on production deployments and knowledge consolidation. You own the pre-sales technical surface: scoping what's possible, building proof-of-concept agents, running technical discovery, and making the product feel real before ink hits paper. You work at the intersection of sales and engineering—close enough to the product to build on it, creative enough to stretch it into new territory.
This is a role for builders who get energized by innovation and experimentation. You'd rather prototype five ideas in a week than polish one for a month. You're excited by novel AI use cases and want to be the first person to explore what our platform can do in new clinical domains.
What you'll doBuild rapid POCs and demo environments tailored to specific prospect workflows and clinical use cases
Partner with AEs and the sales team during technical discovery to scope what's possible and shape deal architecture
Design and deliver live technical demonstrations that translate prospect pain points into working agent experiences
Prototype experimental agent configurations that explore new use cases—pushing the boundaries of what our platform can do
Run technical deep-dives with prospect clinical, IT, and operations teams to understand integration requirements and workflow constraints
Create reusable demo assets, reference architectures, and POC templates that accelerate future sales cycles
Translate technical objections into solutions during the sales process—security, compliance, integration feasibility
Collaborate with Agent Engineers to hand off won deals cleanly, documenting POC learnings and customer expectations
Provide technical credibility in prospect conversations, bridging the gap between our platform capabilities and customer-specific needs
Feed insights from the field back to product and engineering—what prospects are asking for, what patterns emerge, where the platform should go next
Stay current on AI/LLM developments and competitor capabilities to maintain technical edge in sales conversations
3+ years of experience in sales engineering, solutions engineering, or a technical pre-sales role at a SaaS or AI company
Strong hands-on coding ability—you can build a working prototype, not just talk about one. Python proficiency required
Experience with LLMs, prompt engineering, and building on AI platforms
A hacker mentality: you're fast, scrappy, and energized by building things from scratch under time pressure
Genuine excitement for AI innovation and exploring experimental use cases—you follow the space obsessively
Ability to run a room—comfortable presenting to technical and executive audiences, handling objections live, and thinking on your feet
Strong discovery skills: you ask the right questions to uncover real problems, not just stated requirements
Experience working deals alongside account executives, understanding sales cycles and buyer psychology
Clear technical communication—you can explain complex systems to non-technical stakeholders without dumbing it down
Comfort with ambiguity: prospects don't hand you clean requirements, and you thrive in that environment
Experience in healthcare technology or regulated industries
Background as a software engineer who moved into a customer-facing role (or vice versa)
Familiarity with healthcare workflows, EHR systems, or clinical terminology
Experience building demo environments or sandbox platforms
Understanding of healthcare compliance requirements (HIPAA, SOC 2)
Track record of directly influencing deal outcomes through technical work
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
Annual learning budget for courses, books, or conferences
Conference attendance budget for professional development
Annual team offsite
Academic collaboration opportunities
Unlimited PTO
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 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.
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.
Skills Required
- 3+ years of experience in sales engineering or a technical pre-sales role at a SaaS or AI company
- Strong hands-on coding ability in Python
- Experience with LLMs and prompt engineering
- Ability to present to technical and executive audiences
- Experience understanding sales cycles and buyer psychology
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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