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Loading LAYIQ…Job opportunity
United States
Source: Rula careers · View original posting
From Rula's posting. “We” and “our” refer to the employer.
We believe that mental health is just as important as physical health. We recognize that mental health issues can be complex and multifaceted, and we are dedicated to treating the whole person, not just the symptoms.
We aim to create a world where mental health is no longer stigmatized or marginalized, but rather is embraced as an integral part of one's overall well-being.
We believe that by providing quality care that is both evidence-based and compassionate, we can empower individuals to take charge of their mental health and achieve their full potential. We are passionate about making a positive impact on the lives of those struggling with mental health issues and we strive to be a force for positive change in the field of mental healthcare.
Rula is a remote-first company. We currently hire in most U.S. states, with the exception of Hawaii.
Rula's business and clinical teams lose hours every week to manual work, and we want AI to give that time back. As a Staff Forward Deployed Engineer, you will sit with a team, learn how the work actually gets done, and ship tools they use every week, often turning a six-to-eight-hour task into under thirty minutes. You stay until the team runs each tool on its own, then turn what you learned into building blocks that help the next team move faster.
Because we serve patients in mental health care, privacy is part of the design from day one.
Required Qualifications
8+ years shipping production-quality software systems (consumer or business) with end-to-end ownership of outcomes.
Proven track record of shipping tools or products used weekly by customers or business teams, supported by usage telemetry.
Deep experience learning operational workflows through observation, interviews, or data before designing software solutions.
Daily use of coding agents (specifying, testing, and reviewing output diffs) with rigorous evaluation practices (test sets, evals) and privacy-by-design standards (synthetic/masked data, isolating clinical content from operational tools)
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