The role involves owning the full-cycle software development process, from design through implementation and maintenance, focusing on shipping user-facing features end-to-end every sprint. Responsibilities include writing clean TypeScript, well-tuned SQL, and thorough automated tests, while also building internal tools to multiply team velocity.
The engineer will own the end-to-end Machine Learning lifecycle, including researching, designing, and implementing novel ML solutions for complex business problems. Key tasks involve rapid prototyping, rigorous experiment tracking, deploying models using CI/CD, and maintaining performance monitoring systems.
The role involves owning the end-to-end sales process, including prospecting, demos, negotiation, and closing new business within senior care communities. This includes building a strong pipeline and collaborating with leadership to refine sales strategy and messaging.
