About the role

We are looking for a Software Engineer with 2+ years of experience to join a small, high-agency team building the platform that transforms how enterprise health systems route, triage, and schedule patients. You'll be one of the first ~8 engineers at a company that's already live with the University of Miami Health System (went from first meeting to production in 6 weeks) and scaling a PLG product with ~3,500 weekly active users growing 60% month over month.

What will you be doing?

Turning an early, hacked-together product into a repeatable enterprise platform — designing the right core abstractions so business logic, scheduling rules, and clinical workflows can be encoded on top without fighting the architecture
Building and optimizing the core real-time voice pipeline that powers AI agent calls for patient scheduling, triage, and appointment confirmations
Shipping and iterating on the free PLG scribe product to drive organic growth and distribution among clinicians
Working directly with health system customers to model complex clinical business logic and expand into new departments and channels
Contributing across the full stack — from AI/LLM integration and model fine-tuning to frontend features — owning problems end to end

Key Requirements

Experience at a recognized high-growth startup or a company known for a high hiring bar and fast-paced culture (e.g., Verkada, Ramp, Palantir, Scale AI, Zip — not purely big-tech backgrounds)
Comfortable working across the full stack — not purely front-end (back-end heavy is fine)
High agency, high urgency, and a bias toward shipping fast and iterating — must thrive in ambiguity with minimal hand-holding
Strong CS fundamentals and ability to pick up new languages, frameworks, and tools quickly

Scope Health is using technology to radically improve access to care, ensuring every patient can see the right doctor, at the right time, in the right setting. We've raised $13M to make this happen. Our founders built and led Applied AI at Ramp, and our team includes researchers with backgrounds in inference optimization and RL post-training, PhD students, and former government consultants.

Getting patient access right in an enterprise health system is a simulation problem. Every health system is a living, evolving system of providers, specialties, protocols, scheduling constraints, and institutional quirks, and every patient brings their own history, conditions, and concerns. To route a patient correctly you need a high-fidelity representation of both, and the ability to reason over them jointly in real time. Until now, no one has done this successfully at enterprise scale. We're partnering with the largest health systems in the country to transform access end to end: triage, scheduling, and care navigation / coordination. At the same time, we're scaling a self-serve product that reduces documentation and administrative burden for clinicians, building distribution and goodwill with doctors across the country as a wedge into deeper access workflows.

We hire people with high agency and high urgency, and we look for slope over intercept. We care less about where you trained and more about what you've built. Everyone here is a builder who owns problems end to end.

Software Engineer

About the role

About Scope Health

Required skills

Job details

Company

Funding

What happens next.

Confirm the fit

I pitch you to the company

A meeting lands on your calendar