Location: New York, NY (Hybrid, ~3 days/week in-office)
About the Opportunity
Healthcare remains fragmented, leading to widespread inefficiencies, high costs, and sub-optimal patient outcomes.
We are an early-stage, well-funded startup leveraging AI and automated workflow intelligence to bridge critical data gaps across healthcare ecosystems. By synthesizing complex clinical, financial, and administrative data, our platform coordinates complex multi-stakeholder workflows to drive better outcomes at scale.
Backed by top-tier healthcare and technology investors, our core product is live in the market and rapidly expanding.
The Role
As an early engineering hire , you will collaborate directly with technical leadership to design and scale our foundational platform. You will work closely with cross-functional teams to solve domain-specific data challenges, build automated workflow engines, and deliver high-impact user-facing features.
What You’ll Do:
- First 3 Months: Ship production code early, get up to speed on core data architectures, and build fast-iterating features alongside strategic initiatives.
- First 6 Months: Shape the long-term vision of our application stack, partner on key architectural decisions, and help define the team’s engineering culture.
What We’re Looking For
- Product & Execution Mindset: You move quickly, balance technical trade-offs pragmatically, and leverage modern engineering tools (including AI) to amplify your impact.
- Full-Stack Proficiency: Hands-on experience with modern Web/API frameworks (e.g., Python, TypeScript, or transferable production experience).
- Infrastructure & Integration: Comfort deploying and running applications in cloud environments (AWS/GCP/Azure) and integrating with complex third-party APIs.
- Early-Stage Navigators: Prior experience in high-growth, early-stage environments where ambiguity is common.