• Designing and building full-stack applications for care coordination workflows. • Developing responsive, accessible front-end interfaces using React and TypeScript. • Implementing backend services with Java Kotlin/SpringBoot; Ruby experience is a plus. • Integrating AI models and services to deliver intelligent recommendations. • Leveraging AWS infrastructure (S3, Hudi, Athena) for data access and storage. • Collaborating with engineers, designers, and product managers to deliver high-quality solutions. • Participating in code reviews, architectural discussions, and best practice adoption. • Help refine and iterate on our team’s usage of AI to improve processes, productivity, and maintainability. • Troubleshooting and resolving production issues impacting patient care workflows.

• Contribute to key architectural decisions and support a large scale re-imagining of our Site Generation and Site Builder Experience • Design and build cloud-native APIs, services, and front-end experiences used across our platform to support building Websites • Collaborate with cross-functional teams to deliver AI-powered workflows to Site Building experiences • Write clean, testable, scalable code across the stack

• Design architectural patterns that ensure high availability and fault tolerance of the product. • Rapidly iterate on prototypes using user feedback and analytics to refine the user experience in collaboration with design and product teams. • Implement features and optimizations in the product that are specifically aimed at fostering growth. • Coordinate with cross-functional teams to ensure alignment on product development objectives. • Mentor junior engineers on best coding practices and lead by writing clean, maintainable code. • Analyze and enhance code efficiency to boost system performance.

• Own the end-to-end delivery of data across Market Research, Market Surveys, and Daylight Revenue, aligning technical priorities with product goals. • Design and evolve our ingestion pipelines, processing data for 10M+ multifamily units through XML/JSON feeds, web scraping, warehouse transformations, and API exposure. • Define what accuracy, completeness, and timeliness mean for our datasets, ensuring all requirements meet the specific needs of each product line. • Work closely with Product and Application Engineering to ensure new datasets unlock measurable features and actionable customer insights. • Build strong observability into our systems, including daily monitoring, anomaly detection, and automated alerts to maintain ingest health. • Lead the delivery of data milestones by defining goals, tracking progress in Linear, and communicating outcomes to stakeholders. • Stay current with data and AI tooling to help the team work more efficiently and integrate new technologies where they add value. • Foster a culture of continuous improvement by maintaining clear documentation and mentoring others on data best practices.