Life Annuity Specialist

Full-stack Engineer

• Build a greenfield platform end to end — data pipelines, services, and product surfaces — and put it in the hands of the teams running revenue cycle work every day
• Build agent-driven workflows and automation that take real work off those teams’ plates, plus the analytics that show exactly where provider revenue is going and why
• Build safe automation at scale, with the evals to prove it
• Turn ambiguous, high-value operational problems into working software
• Write the specs, patterns, and agent context that make the whole team faster, not just yourself
• Help interview the next wave of engineers and shape how this team works
• Work directly with the CTO; the distance between you and company-level decisions is one conversation

Staff Software Engineer – Full-Stack

Business Intelligence Developer

• Own the semantic layer end to end — Power BI models on Databricks and Fabric, built for performance, maintainability, and trust
• Define the company’s metrics: one shared definition of AR days, denial rate, net collection rate, and the rest, so every team and every client sees the same truth
• Build the provider-facing reporting our clients rely on — visually engaging, intuitive, fast, and credible enough to anchor a business review
• Build the internal analytics our revenue cycle teams use to run their daily operation and to measure whether our automation is actually working
• Establish our first data-analyst agents — automated analysis that monitors the data continuously, surfaces trends and anomalies, and drafts the first pass of insight before anyone thinks to ask
• Shape the gold layer as its primary consumer — and take ownership of transformations if that’s in your toolkit
• Set the BI standards, patterns, and review practices the function scales on as we grow
• Sit with users on both sides — ops teams and client-facing leaders — and work problems, not ticket queues

Staff Software Engineer – Full-Stack

Lead Business Intelligence Developer