The GTM Engineer will configure, optimize, and scale AI tools across the go-to-market funnel while designing autonomous workflows. They will also collaborate with various teams to drive AI-native workflow adoption and improve revenue operations.
Candidates should have experience with Python and AI orchestration frameworks, as well as a strong understanding of CRM systems and revenue operations. Preferred experience includes automation platforms and a background in B2B SaaS or RevOps.
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.