The Clinical Operations Lead will assist managers with clinical pends, over-read feedback, and manual assignments while ensuring quality assurance across reports. They will also facilitate collaboration among cross-functional teams to support product releases and maintain operational readiness.
The specialist facilitates the improvement of clinical documentation quality by reviewing patient records to identify and validate HCC diagnoses. They also query providers to ensure accurate documentation that supports risk adjustment outcomes and condition-related diagnoses.
Design and build scalable data pipelines to transform raw healthcare data into structured, reusable assets for AI and analytics. Collaborate with cross-functional teams to maintain data quality and develop condition-suspecting algorithms for risk adjustment.
The Director of Live Operations leads the technical production-operations function, ensuring the 24x7 reliability and availability of customer data services. This role oversees incident management, infrastructure automation, and cross-functional coordination to maintain high-performance data workflows.
The Retrieval Operations Lead manages frontline execution of retrieval programs, including distributing work assignments and coaching the PSR team. This role also serves as the primary point of contact for high-volume provider offices and resolves complex retrieval escalations.
The Manager of Retrieval Operations leads the execution of large-scale retrieval programs, managing staffing, capacity planning, and performance metrics. They also oversee AI-enabled workflows and serve as the primary operational contact for customer partnerships.
The Senior Product Manager will lead the roadmap and development for EHR integrations and data ingestion within the company's AI-enabled Clinical Intelligence platform. They will manage vendor relationships, define product requirements, and collaborate with cross-functional teams to ensure data quality and operational success.
Build and implement machine learning models for classification and information extraction using complex healthcare data. Collaborate with engineering teams to integrate these models into production and develop robust ML pipelines.
The Staff Engineer will design and evolve core technical patterns while leading distributed systems development and cloud-native architecture. They will also provide hands-on technical guidance through code reviews, mentorship, and collaboration with product and data teams.
The Senior Software Engineer will design, build, and maintain reliable software, focusing on data processing pipelines and system modernization. They will also provide technical leadership, mentor junior engineers, and ensure high-quality code delivery through disciplined engineering practices.
The SDET will design and maintain automated test frameworks for SaaS web applications while collaborating with cross-functional teams to ensure product quality. They are responsible for defining the automation strategy, mentoring junior engineers, and integrating testing processes into CI/CD pipelines.
The Director of DevOps will lead and scale the DevOps and platform engineering team while defining strategy for cloud infrastructure and delivery pipelines. They will partner with cross-functional teams to standardize deployment practices, improve system reliability, and ensure security and cost efficiency.
The SVP of AI & Data will define the technical strategy and architecture for AI, machine learning, and data systems while leading multiple engineering and data science teams. They are responsible for ensuring the reliability, accuracy, and innovation of clinical intelligence platforms and maintaining cross-functional alignment with product and regulatory priorities.
The Sr. Manager will plan and execute integrated, multi-channel marketing programs to drive business acquisition, retention, and revenue growth. They will also manage brand voice, external communications, and measure program performance against key pipeline goals.
Develop and maintain end-to-end product experiences, including backend services, data pipelines, and frontend interfaces for an AI-powered clinical platform. Collaborate with clinical experts to build scalable, accurate systems while troubleshooting and resolving production issues.
Lead health plan and risk adjustment analytics by building member-level actuarial models for various lines of business. Translate complex data into customer-facing dashboards to inform pricing, forecasting, and program strategy for healthcare organizations.
