We're a small team building the best software for medical practices.
The software you experience at the doctor is often terrible, but we can plug into the doctor's legacy system and provide easy online scheduling, bill pay via text, digital check-in, interactive reminders, automated waitlist and more.
Patients get a modern experience and practices reduce busy-work.
We're just 30 people, but regularly beat competitors 10-20 times larger than us. We're used in thousands of locations around the country and doing more volume than companies backed by $100M from VCs. (We have raised $0).
About the role
We're looking for high-performing individual contributors capable of leading development of important slices of the product.
This is a full-stack role; you should be able to understand the user’s needs and build entire features, top-to-bottom, front-to-back.
Our tech stack is Python + Postgres on Linux.
Perks of working at NextPatient:
Freedom to work from home
No fixed vacation policy. We encourage everyone to take a real 2-week vacation each year to somewhere amazing.
A Year-end company-wide trip where you can get to know everyone in the company (2024 was Miami, 2023 was Park City)
A Mid-year team-wide trips with +1s, so your partner can meet the people you're always talking about (2025 in Chicago)
#LI-DNI
Top Skills
NextPatient San Francisco, California, USA Office
San Francisco, CA, United States
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
