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Ease Health

Frontend Software Engineer

Posted 5 Days Ago
In-Office
New York, NY, USA
Junior
In-Office
New York, NY, USA
Junior
Build front-end and full-stack features for an AI-enabled behavioral health platform, including RCM automation, EHR features (AI scribes, intake automation, clinical analytics), and data pipelines for claims and clinical records. Ship high-quality software quickly and collaborate closely with cross-functional teams.
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Frontend Software Engineer - Ease Health

Location: New York City (in-office)
Experience: 2+ years

About Ease

Ease is transforming behavioral health through AI automation and vertical integration. We're building the operating system for behavioral health - combining EHR, RCM automation, and AI-native products into a unified platform that actually works for providers and patients.

We've just closed a $37M Series A led by a16z and have millions in ARR (profitable). Our founding team include repeat founders with 1.15B+ exits.

The Role

We're looking for experienced full-stack engineers to build the future of behavioral health technology. You'll be working on:

  • AI-powered RCM automation that expands margins from 10% to 60%

  • Modern EHR features including AI scribes, intake automation, and clinical analytics

  • Data pipelines processing claims and clinical records

You Should Have
  • 2+ years of software engineering experience

  • Strong front-end software engineering skills

  • Shipped a lot of quality software quickly and a desire to do so again

  • Strong communication skills and ability to work effectively with cross-functional teams

  • Interest in healthcare technology (preferred but not required)

What We Offer
  • Meaningful equity

  • Competitive base salary - we believe in compensating talent properly

  • Real impact - your code will directly improve mental health access for millions

  • World-class team - join engineers from great companies who've chosen to build something meaningful

Why Now?

The behavioral health market is massive ($141B), fragmented, and desperately needs modern technology. We're building an agentic EHR in a greenfield market, starting with proven assets and real revenue rather than hoping for product-market fit.

If you want to build AI that actually ships to production, work on challenging technical problems, and transform an industry that matters, we'd love to talk.

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