Rula
We believe that when access to quality mental healthcare improves, patients, providers, and payers all benefit. And that’s why we’re on a mission to make mental healthcare work for everyone. We remove barriers and strengthen connection points between patients, providers, and payers to improve mental health outcomes. With Rula, it’s easy for patients to find a high-quality therapist or psychiatric practitioner who meets their unique needs, accepts insurance, and is taking new patients. For providers, Rula offers the flexibility of private practice, while also filling caseloads and offering the necessary behind-the-scenes support. Rula handles the marketing, credentialing, billing, and admin tasks so providers can focus on what they do best: providing care to those in need. Rula is a remote-first company with teams who specialize in the areas of Clinical, Partnerships, Operations, Marketing, Engineering, Product, and more. We’re committed to reimagining how mental health is treated.
Open Positions at Rula
10 open positions
Build and deploy AI-powered tools directly with Rula’s business and clinical teams, transforming time-consuming workflows into practical software used every week. This remote Staff Forward Deployed Engineer role combines customer discovery, hands-on production engineering, privacy-by-design, and team enablement.
Join Rula’s Provider Onboarding Engineering team to build scalable tools and workflows that improve pricing, payments, client panels, and forms for mental healthcare providers. This senior role offers the opportunity to establish a new engineering domain, shape architecture, and mentor engineers remotely.
Lead the creation of Rula’s Provider Onboarding Engineering team, architecting scalable systems and tools that improve onboarding across pricing, payments, client panels, and forms. This remote Staff Software Engineer role combines hands-on full-stack development, technical leadership, and team formation in a healthcare environment.
Rula is seeking a Senior Full Stack Software Engineer to build and scale employer and EAP products that expand access to mental health care. The role owns full-stack product surfaces spanning employer tools, patient experiences, provider workflows, eligibility, authorization, and billing.
Staff Software Engineer building scalable systems and full-stack experiences that help mental health providers discover, join, and grow their practices on Rula’s platform. This remote role focuses on provider growth, marketplace supply, and reducing friction in access to care.
Join Rula’s remote-first Partnerships Referrals & Conversions team as a Staff Software Engineer building scalable referral systems, partner data services, and patient booking experiences. You’ll shape technical direction, mentor engineers, and directly improve how patients access mental healthcare.
Rula is seeking a hands-on Sr. Staff Engineer to build and scale production ML systems powering patient matching, ranking, recommendations, onboarding, and personalization. This technical leadership role will shape applied AI strategy, shared ML capabilities, and intelligent patient experiences across the organization.
Staff Software Engineer on Rula’s Patient Onboarding team, building and improving the full-stack systems that take patients from registration and insurance verification through starting care. This hands-on technical leadership role combines complex cross-team initiatives, technical direction, and AI-assisted engineering practices in a remote-first healthcare company.
Rula is seeking a remote Salesforce Architect to design and build the systems that connect patient, clinician, and insurance information across Salesforce and operational tools. The role combines hands-on Salesforce development with architecture, integration design, data governance, and technical leadership.
Lead the design and delivery of production-grade AI and ML systems that improve patient-provider matching, personalization, clinical workflows, and patient engagement at Rula. This hands-on principal role combines applied research, system architecture, ML infrastructure, and responsible AI in a high-stakes healthcare environment.