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.
The Senior Manager will own and drive the end-to-end EMR implementation process for clinical intelligence solutions, from contract signature through go-live. They will manage project timelines, coordinate cross-functional teams, and serve as the primary point of contact for customer integration requirements.
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.
Drive customer goals and revenue expansion by ensuring the successful adoption of the Reveleer platform for healthcare risk adjustment clients. Build strategic executive-level partnerships and collaborate cross-functionally to resolve critical project issues and ensure service level agreement alignment.
The Customer Training Specialist designs and delivers live virtual and in-person training on the Reveleer platform, focusing on clinical coding, data retrieval, and analytics. They collaborate with cross-functional teams to develop scalable training materials and refine content based on customer performance data.
Manage the full customer lifecycle from onboarding to renewal, serving as the primary point of contact for the Prospective Risk solution. Coordinate with internal product and engineering teams to resolve customer issues and align platform output with client strategic goals.
