What are the responsibilities and job description for the GTM AI Specialist position at Advantive?
At Advantive, we don’t just make software—we build careers and power the manufacturing and distribution backbone of the global economy. We are growing fast, investing in AI, and building a culture where motivated, curious people rise quickly.
Role Overview
The GTM AI Specialist is a builder role within Revenue Enablement. You will design and ship AI agents, automated workflows, and prompt architectures that replace manual work across Advantive’s commercial organization — spanning sales, CS, enablement, and RevOps. The primary output is working automations that drive real outcomes across the GTM team. This role reports to the Director of Revenue Enablement and works closely with RevOps and Business Systems.
This is not a back-office builder role. You will be embedded in the commercial organization — close to the reps, the tools, and the outcomes. Agent building is the craft, but operating as a full member of the Revenue Enablement team is the expectation. That means owning the day-to-day operational work of the function — tool administration, content governance, and team support — alongside the build mandate.
Responsibilities
AI Agent and Workflow Development
As a full operator on the team, you will own a portion of the day-to-day work that keeps the Revenue Enablement function running. This is not peripheral to the role — it is part of it. Specific responsibilities will be scoped based on team needs, and will include tool administration, adoption tracking, and operational support across the commercial organization.
Required
Role Overview
The GTM AI Specialist is a builder role within Revenue Enablement. You will design and ship AI agents, automated workflows, and prompt architectures that replace manual work across Advantive’s commercial organization — spanning sales, CS, enablement, and RevOps. The primary output is working automations that drive real outcomes across the GTM team. This role reports to the Director of Revenue Enablement and works closely with RevOps and Business Systems.
This is not a back-office builder role. You will be embedded in the commercial organization — close to the reps, the tools, and the outcomes. Agent building is the craft, but operating as a full member of the Revenue Enablement team is the expectation. That means owning the day-to-day operational work of the function — tool administration, content governance, and team support — alongside the build mandate.
Responsibilities
AI Agent and Workflow Development
- Design and deploy AI agents and automated workflows across the full GTM tech stack 2014 including ChatGPT, Claude, Glyphic, and Letter.ai
- Build prompt architectures and agent chains that produce consistent, production-grade outputs at scale
- Identify and replace high-impact manual loops — pre-call brief assembly, coaching prep, content updates, win/loss routing, and more
- Build the connective layer across Glyphic, Letter.ai, Hyperbound, and Salesforce — turning discrete tools into an integrated system
- Connect agents to existing systems via native integrations and low-code automation platforms
- Iterate on deployed agents based on output quality and usage — agents that break get fixed, not abandoned
- Document what you build clearly enough that GTM teams can use it without hand-holding
As a full operator on the team, you will own a portion of the day-to-day work that keeps the Revenue Enablement function running. This is not peripheral to the role — it is part of it. Specific responsibilities will be scoped based on team needs, and will include tool administration, adoption tracking, and operational support across the commercial organization.
Required
- Portfolio of shipped AI agent or automation work — agents you built, prompts you wrote, workflows you deployed that are actively being used
- Hands-on experience with ChatGPT, Claude, or a comparable LLM environment — you can write instructions that produce reliable, structured outputs
- Salesforce familiarity — you understand the data model well enough to pull from it and build on top of it
- Builder’s track record — you finish things, not just start them
- Clear written communication — your documentation is usable without explanation
- Experience in a B2B SaaS environment with exposure to sales, CS, or GTM operations
- Experience connecting agents to external systems via API, webhooks, or native integrations
- Familiarity with low-code workflow automation platforms
- Exposure to enablement platforms such as Letter.ai, Highspot, or Seismic
- Interest in developing deeper technical skills over time, including light scripting or automation logic