ABOUT COLLECTIONHQ

CollectionHQ (a Fluent Software Group company) is a Scotland-based company providing software solutions and services to public and academic libraries worldwide. We are driving change in our internal processes to increase efficiencies and fuel growth and this role sits right at the heart of that transformation.

ROLE OVERVIEW

This person sits at the intersection of engineering and go-to-market, with a specific mandate: build and operate the AI systems that drive pipeline, conversion, and revenue expansion autonomously.

The GTM Engineer will be pivotal in deploying the latest agentic AI tools to automate and streamline our RevOps pipeline, working closely with our Marketing, Sales, and Customer Experience teams to drive sustainable revenue growth. This role reports to the VP of Sales, with a dotted line to the Engineering and Technology department heads.

WHAT YOU WILL DO

Configure, optimize, and scale AI tools across the full GTM funnel — from prospecting through renewal
Design autonomous workflows: lead qualification agents, outbound sequencing, and intent signal routing
Train GTM teams on AI-native workflows and drive adoption of agentic tooling across portfolio companies
Work with sales and marketing leadership to identify the highest-leverage AI use cases
Oversee fleets of interoperable AI agents assigned to specific GTM process segments
Build live ROI visibility dashboards showing what is working, what is lagging, and delivering recommendations to reps and leadership
Bridge RevOps strategy with AI-native execution, closing the gap that traditional RevOps leaders cannot fill

WHAT YOU BRING

Technical Skills:

Python, LangChain / LangGraph
CRM APIs (HubSpot, Salesforce)
Prompt engineering and LLM fine-tuning
Workflow automation: Zapier, n8n, Clay, Apollo

Commercial & Soft Skills:

Strong commercial intuition: CAC, conversion metrics, revenue funnels
Data analysis and performance measurement
Stakeholder management across sales, marketing, and product
Experience in B2B SaaS or library technology environments (asset)

ABOUT YOU

You think in systems — you see a manual GTM process and immediately visualize how an agent would run it
You are equally comfortable in a terminal and in a boardroom conversation about pipeline strategy
You have shipped AI-powered GTM workflows in production, not just prototypes
You understand that a great agent is useless if it is not adopted — you drive change, not just code

LOCATION

We are looking for a candidate based in either the United Kingdom or Ireland.

#collectionHQ

GTM Engineer

Job Description