On our Engineering team, every day is filled with new opportunities to make mental healthcare work for everyone. Whether designing scalable systems or building AI-powered support for patients and providers, our engineers are constantly searching for ways to stretch their skills, solve meaningful problems, and, most importantly, create a culture rooted in collaboration and shared ownership.
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Rula
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Teams at Rula
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Rula Engineering Team
Rula Sales Team
Joining Rula’s Sales team means using your skills to help more people access the mental healthcare they need. You might build referral pathways with primary care practices, expand therapy access through employers, or develop partnerships with health plans and health systems. Here, a deal is more than a business outcome. There’s a person waiting for care on the other side of every partnership, giving our Sales team a meaningful reason to keep pushing forward.
Recently posted jobs
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Healthtech • Social Impact • Software • Telehealth
Leads complex, cross-functional business operations and strategy initiatives from concept through measurable execution. Responsibilities include analytical modeling, SQL-based analysis, operational planning, performance measurement, mechanism design, stakeholder alignment, executive communication, and independent project ownership. The role drives strategic projects, launches initiatives, and improves scalable business processes in a remote-first mental healthcare company.
Healthtech • Social Impact • Software • Telehealth
Supports the healthcare compliance program through stakeholder advisory work, independent investigations, compliance reviews, audits, monitoring, and policy governance. Interprets HIPAA, CMS, OIG, and other federal and state healthcare regulations, translating requirements into practical business guidance. Collaborates with Legal and business teams to identify and mitigate compliance risks, strengthen program implementation, and improve reporting and operational processes.
Healthtech • Social Impact • Software • Telehealth
Develop and operate production ML and AI systems powering patient experiences such as matching, ranking, recommendations, onboarding, and personalization. Build reusable ML infrastructure, pipelines, evaluation, observability, and model-serving capabilities. Provide technical leadership across the ML lifecycle, guide architecture, evaluate custom versus foundation-model approaches, and partner with ML and Patient Engineering teams to deliver reliable, scalable AI products.
