The GTM Engineer will build and operate AI systems to drive pipeline, conversion, and revenue expansion. They will configure AI tools across the GTM funnel and train teams on AI-native workflows.
Candidates should have strong technical skills in Python and AI tools, along with commercial intuition and experience in B2B SaaS or library technology environments. They should be comfortable in both technical and strategic discussions.
collectionHQ is the world’s leading provider of collection performance improvement solutions for libraries. Based on the proven Evidence Based Stock Management (EBSM®) methodology that has been used in libraries for almost thirty years, collectionHQ’s products harness cutting-edge technology to analyze data about the library’s collection and how it has been used over time to deliver easy-to-use action plans that support continuous improvements. With flexible solutions to accommodate public and academic libraries of all sizes, collectionHQ’s team of librarians and data experts provide ongoing support to our library customers so they can optimize collection management workflows, save time and money, improve turnover, and align the collection with user demand.