Jobs at Onos Health

Analyze healthcare claims, authorization, eligibility, and clinical data to build customer-facing dashboards, answer complex utilization and cost questions, support ROI analyses, investigate data quality issues, and define consistent metrics for the analytics platform. Present findings to health plan stakeholders and collaborate with Product, Engineering, Data Science, Clinical Operations, and Customer Success.

Manage strategic relationships with health plan customers, serving as their trusted advisor and coordinating with product and operations teams. Translate payer feedback into product improvements, lead account initiatives from kickoff through delivery, and build scalable account-management processes, playbooks, and reporting. The role requires healthcare payer expertise, familiarity with payer data and value-based care, experience with AI-enabled SaaS products, strong cross-functional project execution, and comfort working in an ambiguous startup environment.

Develop and deploy LLM and NLU systems that analyze clinical notes, medical records, and healthcare standards. Build reliable evaluation, benchmarking, governance, explainability, and data pipeline capabilities while integrating AI features into the platform. The role also involves backend and data engineering, collaboration with backend engineers, maintaining privacy and security standards, and supporting accurate clinical assessments and care recommendations.

Own 1–2 health plan customer relationships end-to-end, translating clinical and operational needs into product requirements and delivery plans. Partner with engineers to define specifications, acceptance criteria, and shipped solutions. Manage timelines, communicate with clients, identify cross-account product patterns, and help establish the company’s customer delivery playbook for healthcare AI products.

Own Onos Health’s production infrastructure, including AWS architecture, multi-region disaster recovery, backups, monitoring, SLOs, incident response, SOC 2 and HIPAA controls, Terraform, CI/CD, preview environments, and AI-agent deployment guardrails. Establish platform strategy, reliability practices, security automation, audit evidence, and on-call operations as the company’s first dedicated infrastructure hire. The role also requires technical leadership, delegation, and communication with non-technical stakeholders.

Serve as the technical lead interfacing directly with health plan customers to gather requirements, integrate and roll out the Onos platform, own end-to-end feature development, shape technical roadmap and architecture, and scale secure AI/ML systems for healthcare workflows and data.

Lead development and deployment of predictive, risk-scoring, and optimization models for behavioral health using claims and clinical data. Define data science infrastructure, perform deep analytics, translate models into client-facing impact and dashboards, and lead cross-functional product and client engagements.

As a Lead Engineer at Onos Health, you will lead the development and implementation of the Onos platform, integrating new features, managing data pipelines, and establishing engineering best practices. Collaboration with the founding team and technical leadership are key components of this role.