• Design, develop, and test features, both in-house and customer-facing • Write high-quality, clean, scalable, and maintainable code • Contribute ideas for new features or improvements to existing features • Assist colleagues through code-review, collaboration, and troubleshooting

• Define and execute the product vision and strategy for the mid-cycle and backend RCM portfolio • Lead the roadmap for coding, billing, payment posting, AR & denials, and analytics to deliver measurable improvements in efficiency, accuracy, and financial performance • Partner closely with engineering and data teams in India to drive delivery excellence and foster cross-geo collaboration • Develop and manage a team of high-performing product managers and analysts, promoting a culture of accountability and innovation • Translate customer and market needs into actionable requirements and ensure products deliver strong ROI • Drive initiatives that leverage AI, workflow automation, and advanced analytics to enhance revenue integrity and operational performance • Collaborate with internal stakeholders across operations, sales, and implementation to ensure seamless product adoption and client success • Monitor market trends and emerging technologies to maintain competitive differentiation in the RCM space

• Play a pivotal role in Solving for Safer by increasing the discoverability of life-saving data • Design and implement the search architecture that helps a dispatcher or first responder locate critical information in seconds • Take ownership of significant features, from initial technical design to final deployment within a Kubernetes environment • Act as a human-centered innovator—partnering with teams to nail down requirements, conducting rigorous code reviews, and ensuring our systems remain secure and resilient • Optimize a microservice or mentor a junior team member

• Design, develop, and deploy Azure Functions and broader Azure data services to extract, transform, and load data into Snowflake data models and marts. • Implement automated data quality checks, monitoring, and alerting to ensure accuracy, completeness, and timeliness across all pipelines. • Optimize workloads to reduce cloud hosting costs, including right-sizing compute, tuning queries, and leveraging efficient storage and caching patterns. • Build and maintain ELT/ETL workflows and orchestration to integrate multiple internal and external data sources at scale. • Design data pipelines that support both near real-time streaming data ingestion and scheduled batch processing to meet diverse business requirements. • Collaborate with engineering and product teams to translate requirements into robust, secure, and highly available data solutions.