Jobs at RxSense

Own end-to-end data architecture, including ingestion, ETL, transformation, extracts, reporting, and dashboards. Lead DevOps and infrastructure for AI engineering systems, establish platform standards, and build reliable production infrastructure. Write and ship code, mentor engineers, and hire and lead a growing data and platform team. Partner with leadership to align architecture and platform investments with product, research, and business priorities.

Leads pharmacy partner relations, retention, satisfaction, and organic growth across retail, mail, and specialty pharmacy accounts. Establishes scalable engagement models, strengthens executive relationships, promotes RxSense solutions, identifies account expansion opportunities, and leads account and relationship managers. Partners cross-functionally with product, marketing, operations, underwriting, pricing, and contracting teams while channeling partner feedback into the product roadmap.

Build governed gold-layer data models and a single-source metrics layer in Snowflake (dbt); create and optimize dashboards in enterprise BI tools; use AI coding agents and AI-assisted tooling to accelerate development; ensure data quality, governance, and consistency; collaborate with data engineering and stakeholders to deliver trusted analytics for internal and client-facing use.

Architect and build AI-native production systems across a multi-language stack, design offline and online evaluation frameworks for LLMs, monitor live model behavior and drift, lead architecture reviews, mentor senior engineers, and prototype and ship AI capabilities while ensuring reliability and correctness in a regulated domain.

Own and operate the core cloud platform for a healthcare SaaS: cloud infrastructure (AWS), CI/CD, developer tooling, observability, IaC, Kubernetes, incident response, cost and capacity planning, and platform APIs to enable engineering teams to self-service deploy and operate services.