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The Sr. Machine Learning Engineer will develop and deploy ML solutions for healthcare, manage data pipelines, and work with large datasets to enhance healthcare delivery.

Own end-to-end QA and product operations for one or more product areas: design and maintain regression suites, triage support issues, define go/no-go release criteria, monitor support metrics, and route high-impact incidents to PMs and engineers.

The role involves managing and optimizing infrastructure using Terraform and Kubernetes, ensuring system reliability and observability, and collaborating with software engineers to enhance operational excellence.

As a Sr. Software Engineer, Backend, you will develop AI-powered solutions for clinical documentation and medical coding, collaborating with cross-functional teams to enhance SaaS products and deliver actionable insights for healthcare organizations.

As a Client Solutions Software Engineer, you will implement, support and optimize ML model deployments for healthcare revenue cycles while collaborating with various teams on technical integrations and product improvements.

The Chief of Staff will support the COO and CEO, drive strategic initiatives, ensure operational alignment, and facilitate decision-making in the fast-paced AI healthcare space.

Manage and automate security operations across SaaS and endpoints: deploy and tune PHI DLP, run AI-powered email security, configure MDR/EDR, harden Okta and Google Workspace, lead incident response, automate compliance evidence collection, maintain runbooks, and build automation and reporting to improve security posture.