Foundation Health

Own end-to-end feature development including data modeling, API design, and production deployment in regulated healthcare systems. | Experience shipping production systems, comfortable with AI tools and complex healthcare integrations like Epic workflows. | About Foundation Health Foundation Health is an AI operating system for pharmacy - built by a team who lived the problem firsthand, not one that came to healthcare from the outside. Every day, prior authorizations delay prescriptions, pharmacists lose hours to paperwork instead of patients, and prescriptions slip through the cracks between health systems. We believe thoughtfully applied AI can finally change that - deep, integrated infrastructure that streamlines how care is coordinated, purpose-built for the complexity of specialty pharmacy. We're building toward a world where pharmacy teams spend their time on patients, not paperwork - where AI handles the routine so clinicians can focus on what only humans can do. Getting there takes the right people. We're looking for curious, ambitious folks who want to help solve healthcare's hardest problems - for our patients, our partners, and each other. The Role This isn't a pitch deck. Our platform is live in production inside major US health systems — including Intermountain Health — where our AI handles real patient communication over voice and SMS and plugs directly into Epic workflows. We have a public partnership with Amazon Pharmacy. We raised a $20M Series A led by Define Ventures. Our CEO is a 2x founder; our VP of Engineering came from DeepMind. We're ~70 people, past PMF, with enterprise customers pulling us forward faster than we can hire. You'll own features end-to-end: from a loose product requirement, through the data model and API design, to production and into a customer's hands — sometimes within 48 hours. Think about your last launch. How long between "this is obviously right" and "it's live"? Whether the delay was review layers, a roadmap you didn't control, or a client who kept changing their mind — that gap is the reason this role exists. No ticket factory, no hands-off managers to route decisions through, no theatre. The technical problems you'd own Features built on LLMs that ship to real users in a regulated environment — which means evals, guardrails, and thinking hard about failure modes, not demo-ware Integration with the messy, fascinating reality of healthcare systems: Epic workflows, prior auth logic, pharmacy operations Full-feature architecture: data models, APIs, state, rollout — yours, end to end Your own feature area's health: you'll watch metrics, error logs and user feedback because it's yours, not because someone assigned you a dashboard What we're looking for You've shipped production systems you can talk about in depth — the choices, the tradeoffs, what you'd do differently You thrive when the path isn't fully paved. Loose requirements energize you rather than block you Genuine product instinct: you ask "why" when a requirement feels off, and you treat regressions personally AI tools are already embedded in how you work, not a thing you're meaning to try Stack is Node/TypeScript/GCP, all greenfield — but we hire engineers, not stacks. The practical stuff We're remote-first across the US, though we've just opened a hub in Orlando if you ever wanted your comp to survive contact with your cost of living. And it's early enough that the equity is founding-role equity, not a rounding error.

Develop and ship features with test coverage while integrating AI tools and improving pharmacist workflows. | Strong computer science fundamentals with passion for building software and interest or experience in AI-native tools. | About Foundation Health Foundation Health is an AI operating system for pharmacy - built by a team who lived the problem firsthand, not one that came to healthcare from the outside. Every day, prior authorizations delay prescriptions, pharmacists lose hours to paperwork instead of patients, and prescriptions slip through the cracks between health systems. We believe thoughtfully applied AI can finally change that - deep, integrated infrastructure that streamlines how care is coordinated, purpose-built for the complexity of specialty pharmacy. We're building toward a world where pharmacy teams spend their time on patients, not paperwork - where AI handles the routine so clinicians can focus on what only humans can do. Getting there takes the right people. We're looking for curious, ambitious folks who want to help solve healthcare's hardest problems - for our patients, our partners, and each other. The Role This isn't a pitch deck. Our platform is live in production inside major US health systems — including Intermountain Health — where our AI handles real patient communication over voice and SMS and plugs directly into Epic workflows. We have a public partnership with Amazon Pharmacy. We raised a $20M Series A led by Define Ventures. Our CEO is a 2x founder; our VP of Engineering came from DeepMind. We're ~70 people, past PMF, with enterprise customers pulling us forward faster than we can hire. Here's the early-career fork in the road: at a big company, you'll spend year one on internal tooling, ship through six layers of review, and learn how a large org works. Here, you'll ship to production in your first week, on systems pharmacists and patients actually depend on, sitting (virtually or in Orlando) next to engineers who've built at serious scale. Same years of your career. Very different compounding. What you'll actually do Ship well-scoped features and fixes independently, with proper test coverage, at a pace you'll be proud of Work AI-native from day one — Claude, Cursor, the lot — as a first-class part of how you build, with the judgment to know when the output needs a second look Learn the domain deeply: who the pharmacist is, what workflow they're stuck in, why your ticket exists — and ask "why" when a requirement feels off File the bugs and UX issues you notice without waiting to be told Level up fast through code review and pairing with engineers who've built serious systems — the feedback loop here is customers, not committees What we're looking for Sharp CS fundamentals and evidence you love building: side projects, internships, open source, a startup that didn't work — something you made because you couldn't not Learning velocity. You pick things up fast and you enjoy the discomfort of not knowing yet High agency and curiosity about the product, not just the code Already building with AI tools, and thoughtful about their limits Stack is Node/TypeScript/GCP. If you've not used it, that's fine — that's the point of learning velocity. The practical stuff We're remote-first across the US, though we've just opened a hub in Orlando if you ever wanted your comp to survive contact with your cost of living. And it's early enough that the equity is founding-role equity, not a rounding error.

Lead technical architecture and develop production code for complex AI-driven healthcare systems. | Proven experience building complex systems, proficiency in Node.js, TypeScript, GCP, and technical leadership in fast-paced environments. | About Foundation Health Foundation Health is an AI operating system for pharmacy - built by a team who lived the problem firsthand, not one that came to healthcare from the outside. Every day, prior authorizations delay prescriptions, pharmacists lose hours to paperwork instead of patients, and prescriptions slip through the cracks between health systems. We believe thoughtfully applied AI can finally change that - deep, integrated infrastructure that streamlines how care is coordinated, purpose-built for the complexity of specialty pharmacy. We're building toward a world where pharmacy teams spend their time on patients, not paperwork - where AI handles the routine so clinicians can focus on what only humans can do. Getting there takes the right people. We're looking for curious, ambitious folks who want to help solve healthcare's hardest problems - for our patients, our partners, and each other. The Role This isn't a pitch deck. Our platform is live in production inside major US health systems — including Intermountain Health — where our AI handles real patient communication over voice and SMS and plugs directly into Epic workflows. We have a public partnership with Amazon Pharmacy. We raised a $20M Series A led by Define Ventures. Our CEO is a 2x founder; our VP of Engineering came from DeepMind. We're ~70 people, past PMF, with enterprise customers pulling us forward faster than we can hire. We're building out our engineering hub in Orlando, and we want a Staff Engineer who's genuinely excited about owning something — not just contributing to it. You'll be the technical anchor for one of our core products, making architectural calls that matter six months from now, not just this sprint. This is a hands-on role. You'll write code, not just review it. Maybe you're somewhere big, where the systems are impressive but the ownership is glacial. Maybe you're at a startup that's stopped being one. Either way, the itch is the same — and here, the loop is: see the problem, build it, watch a pharmacist use it that week. The technical problems you'd own Production agentic systems in a regulated environment — automated workflows, LLM-assisted QA, and AI features (RAG, function calling, evals) where the output touches real patient care, so the evaluation bar is genuinely high Multi-component system design across a product domain: Epic integration, prior auth pipelines, patient communication infrastructure The technical bar itself — through your own code as much as your decisions. Your PRs should be the ones people learn from Delivery across a workstream: cross-team dependencies, roadmaps tied to product milestones, and accountability for shipping software that solves the user's problem, not just software that passes tests What we're looking for A track record of building complex systems from scratch — and being able to talk about the specific decisions you made and why High agency. You don't wait for a perfectly scoped ticket. You figure out what needs to happen and do it Comfortable in ambiguity. We're Series A — things move fast and change often Already using AI tools daily (we're Claude/Cursor-native across the team) and hungry to push that further The stack is Node/TypeScript/GCP. No legacy code — greenfield all the way. We're not precious about it either; good engineers pick up new languages quickly. The practical stuff We're remote-first across the US, though we've just opened a hub in Orlando if you ever wanted your comp to survive contact with your cost of living. And it's early enough that the equity is founding-role equity, not a rounding error.