Our mission is to bring the joy back to running a private practice - we’re building an AI powered financial operating system that simplifies financial operations, so providers can do what they do best: focus on patient care.
The healthcare payment system is a complex and inefficient maze - healthcare practices leave $125 billion in revenue uncollected each year, lost in the chaos of fragmented financial data, manual workflows, and opaque payer systems. This financial uncertainty leaves practices struggling to stay afloat, while valuable revenue slips through the cracks.
Joyful Health is building the AI-powered financial operating system for healthcare practices. Our mission is to bring the joy back to running a private practice by simplifying financial operations so providers can focus on patient care. We spent 10 months working as fractional CFOs for a dozen practices, doing this work side by side with providers as we developed our product.
We just closed a funding round led by world-class investors and angels including the founders of MongoDB & KAYAK.
<aside> 🚀 We have an enormous opportunity in front of us. The broken healthcare payment ecosystem impacts practices of all sizes, and the opportunity to make a real difference is massive.
If you’re passionate about empowering medical practices and excited to tackle one of the most important (& challenging!) problems in healthcare, we’d love to meet you.
Apply here: https://jobs.gem.com/joyful-health/am9icG9zdDpiWrH0iZXCTqG0XIH2PB50
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We’re looking for a talented and ambitious machine learning engineer with 5+ years of experience in NLP or Computer Vision who’s excited to solve one of the toughest challenges in computing—agent navigation of user interfaces. You’ll play a key role in inventing novel models and pushing SOTA.
Agent behavior outside of APIs and instead in UIs has fundamentally shifted. We’re leading the push to empower underserved providers with the support they need. Integrating the financial data of small healthcare practices—each with its own unique systems—has long been a roadblock in the industry. This has meant that very few solutions have emerged in the market that are actually able to solve the unique challenges of small medical practices (and even larger ones). We’ve begun to crack this challenge, and the work that we’ve done so far has enabled us to seamlessly onboard new data sources in days, not months. This entirely opens up a massive untapped market.
As a founding machine learning engineer, you’ll have an outsized impact on the company’s trajectory, working on a critical problem that’s central to our success. This is a great opportunity for someone who wants to work on something extremely challenging and make a huge difference. You should be comfortable (and excited!) about working in a fast-paced, early-stage startup environment where you'll be able to wear many hats and take on new challenges as they arise.
This role is full-time. This role is full-time. We’re looking for candidates based in NYC.