Jobs at Bunkerhill Health

Product Designer at Bunkerhill Health, a healthcare technology company. This founding role involves pushing the frontier of AI and human interaction in healthcare, creating and owning the design system for their Carebricks platform, and defining excellent product experiences for diverse end-users like physicians and pharmacy techs.

Bunkerhill Health is hiring a Forward Deployed Engineer to productionize clinical ideas on their Carebricks platform. This role involves stakeholder meetings, use case scoping and building, and core platform engineering, with a focus on closing the loop from idea to production in days.

Bunkerhill Health is hiring a Senior Technical Implementation Program Manager to oversee the end-to-end customer delivery of their AI platform, Carebricks, within health systems. This role involves managing the entire customer lifecycle, from discovery and data ingestion to runtime enablement and writebacks, ensuring successful integration with EHRs like Epic and ancillary systems.

This is an application for potential future roles at Bunkerhill Health. The company is seeking talented and motivated individuals to join their team. Applicants should apply if they are interested in working at Bunkerhill Health but do not see a current opening that matches their profile.

Founding GTM executive at Bunkerhill Health responsible for building the company's sales strategy and execution. This role involves owning a book of large health system accounts, driving deals from strategy to close, and collaborating with executive leadership and engineering teams.

Bunkerhill Health is seeking an AI Product Engineer to own product features end-to-end, from design to deployment. This backend-focused role involves building and deploying agentic workflows at scale, requiring collaboration with cross-functional teams and a deep understanding of the product.

This is a Lead Forward Deployed Product role at Bunkerhill Health, focused on the end-to-end success of AI deployments in health systems. The role involves designing, configuring, and deploying AI workflows and agents using LLM tools, and iterating on them based on clinical and operational feedback.