Staff Forward Deployed Engineer [NYC or SF]

About Amigo At Amigo, we're building the clinical AI infrastructure that health systems, life sciences companies, payors, and government agencies run their patient-facing care on. Our agents work across the whole patient journey: pre-visit intake, care navigation, post-visit care plans, and ongoing monitoring. Our mission is to make excellent care accessible to every patient, not rationed by the limits of clinician time. This hasn’t been solved because the underlying record was never built for it. EHRs were designed for billing, not for systems that learn. So instead of layering another point solution on top, we’re rebuilding the medical record as a timeline of clinical events and running agents on top of it that improve with every patient interaction. Unlike single-purpose chatbots or scribes, Amigo is the platform our customers use to build their own agents. That means our work has to hold up across specialties, workflows, and regulatory environments and not just one narrow use case. Our agents have supported more than 4 million patient encounters and are on track to grow tenfold this year. Our work is validated through partnerships with leading academic medical institutions. We’re fresh off our Series A, backed by Tier 1 VCs such as Madrona, General Catalyst, and Optum Ventures. We’re a small team of around 35 people, working in person in New York City and San Francisco. [... source excerpt omitted ...] each patients. If you want your work to be measured in outcomes rather than releases, we’d like to hear from you. About this role As an Staff Forward Deployed Engineer at Amigo, you'll lead the technical delivery of customer deployments end to end. You'll set the architecture, break big ambiguous problems into work a team can own, commit the timelines, and hold the bar for what ships. It's a hands-on leadership role at the intersection of engineering, product, and the customer. Depending on your strengths, the role leans toward deep technical leadership, people leadership, or both. Some tech leads are the deepest technical authority on the team and take the hardest problems [... source excerpt omitted ...] handful of engineers and own how the team operates. Most do some of each. We work out the shape with you. What you might work on Leading an AI deployment for a major healthcare customer, from first conversation to production Turning an ambiguous customer need into a clear technical plan with owners and timelines Setting the architecture and engineering standards the team builds within Making the calls on tradeoffs: what to build now, what to reuse, and what to push back on Growing the engineers around you and raising the bar of the whole team Working directly with customers to keep scope, timelines, and quality honest You may be a fit if You've led significant engineeri