Happy Health, Inc.

United States
35 Total Employees

Jobs at Happy Health, Inc.

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Healthtech • Wearables • Telehealth • Generative AI
Verifies insurance eligibility and benefits, obtains and tracks prior and retrospective authorizations, documents payer requirements, calculates patient responsibility, identifies denial risks, and supports appeals. The specialist coordinates with providers, clinical staff, schedulers, billing teams, patients, and insurance payers while maintaining accurate records, monitoring authorization deadlines, resolving coverage issues, and complying with HIPAA and privacy standards in a remote setting.
One Month AgoSaved
Remote
USA
Healthtech • Wearables • Telehealth • Generative AI
Take ownership of end-to-end product and marketing design across web, native apps, print, and patient-facing materials. Build and maintain a scalable Figma design system, partner with product and engineering from problem definition through launch, ensure implementation quality, and iterate using data and customer feedback to drive measurable outcomes.
One Month AgoSaved
Remote
USA
Healthtech • Wearables • Telehealth • Generative AI
Provide remote, evidence-based sleep medicine care including comprehensive evaluations, individualized multi-modal treatment plans, longitudinal data monitoring, patient education, and participation in case conferences and quality improvement using integrated EHR and remote monitoring tools.
One Month AgoSaved
Remote
USA
Healthtech • Wearables • Telehealth • Generative AI
Lead architecture, implementation, operation, and scaling of customer-facing eCommerce systems (Shopify-centered), payment and subscription workflows, analytics/attribution instrumentation, and integrations. Provide hands-on technical leadership, establish engineering best practices, ensure security and reliability, and partner cross-functionally to support DTC growth and long-term platform needs.
One Month AgoSaved
Remote
USA
Healthtech • Wearables • Telehealth • Generative AI
Lead architecture, build, and operate a serverless AWS backend (Python, Lambda, CDK, DynamoDB, S3) supporting APIs, event processing, integrations (EHR/CRM/eCommerce/3PL), observability, security, and compliance. Provide technical leadership, drive platform decisions, identify risks and scalability bottlenecks, and establish backend engineering best practices across systems and teams.