Lead, Agentic Operations + GTM Engineering

Position: Lead, Agentic Operations + GTM Engineering

Location: Nashville, TN

Job : 1208

# of Openings: 1

Lead, Agentic Operations + GTM Engineering

Our commercial organization is built to run lean and AI-first across Marketing, BDR, Enablement, and new vertical expansion. Today, though, our core systems — Hub Spot, Salesforce, Absorb, Claude, Chat, and Groove — operate as islands, and our use of AI is a scattering of one-off experiments.

This role brings them together. You’ll build the infrastructure that connects these tools into a single, well-governed system and turns our AI experiments into reliable, production workflows — seamless for the team, and fully controlled for leadership. The aim isn’t autonomous, black-box AI; it’s transparent, auditable, human‑in‑the‑loop automation that leaders can trust, trace, and switch off at any time. Done well, this is the work that lets the rest of the organization stay lean and move quickly.

You’re a systems builder working at the intersection of revenue and marketing operations, GTM engineering, and applied AI. You’re just as comfortable mapping an integration between Salesforce and Absorb as you are writing a prompt or sitting in a pipeline review. You think in connected systems rather than one‑off tools, you’re pragmatic about shipping and rigorous about governance and measurement, and you’re motivated by helping an entire commercial team do more with less.

• Systems integration & orchestration — your core focus. Connect our existing stack — Hub Spot, Salesforce, Absorb (LMS), Claude, Chat, and Groove — into one coordinated system. Using APIs, webhooks, and orchestration platforms, you’ll make data and actions flow across the CRM, marketing automation, the LMS, and the AI layer, so a process can run from trigger to AI step to system‑of‑record update without manual handoffs.
  
  Everything else is built on top of this.
• Governed AI workflows. Design AI workflows that are controlled by default: permissioned access, approval gates, human‑in‑the‑loop checkpoints, brand‑and‑compliance‑safe outputs, and complete logging. Leadership should always be able to see what an automation did, trace why, and stop any step. Control is built in, not bolted on.
• AI agents & tooling. Build and maintain the AI content engine, prompt libraries, and Claude‑based (and other LLM) agents that power demand generation, BDR prospecting, product marketing, and enablement.
• Workflow automation. Find the repetitive, high‑friction work across the commercial team — lead routing, handoffs, content assembly, reporting, onboarding and training in Absorb, and follow‑up — and automate it from end to end.
• Measurement & attribution. Own the data behind pipeline reporting: MQL‑to‑SQL conversion, cost per opportunity, campaign and channel ROI, and BDR pipeline contribution. Build the dashboards leadership uses to decide where to invest.
• Enabling the team. Be the in‑house expert who helps Marketing, BDR, and Enablement adopt these workflows, and who translates between commercial goals and technical execution.

• Our core systems work as one connected platform, with data and actions flowing between them automatically.
• AI workflows run in production with full controls — approvals, audit trails, permissions, and a clear way to trace or stop any step.
• A working AI content and prospecting engine that the teams it serves actually use.
• A live attribution dashboard tied to revenue outcomes, beginning with your first 100‑day report.
• Measurable efficiency gains — lower cost per opportunity, faster handoffs, less manual work — that let the organization run leaner.

Specific Job

Skills:

• Experience connecting GTM or commercial systems with APIs, webhooks, and orchestration platforms (such as Clay, Make, n8n, or Zapier) — building workflows across multiple tools, not one‑off fixes.
• Hands‑on experience with a modern commercial stack: a CRM (Salesforce and/or Hub Spot), marketing automation, and the ability to get up to speed quickly on an LMS like Absorb.
• Practical fluency with LLMs and prompt engineering — ideally Claude or the Anthropic API — with real…