Agentic GTM Operator (A2A5236)

Referment; Greater London; On-site; GBP 70,000 - 90,000; Full time

Job summary

Referment is an AI-powered B2B marketing technology company partnering with commercial teams to run account-based campaigns and leverage engagement data across the buyer journey. This role sits in Marketing and builds internal AI tooling, agents and automations used by Sales, Marketing and Customer Success.

You will map workflows, ship practical systems, maintain machine-readable context, and measure adoption through pipeline metrics and customer-retention impact.

Qualifications

• Three+ years in revenue operations, GTM engineering, marketing or sales ops.
• Hands-on experience building with LLMs, AI tooling or agent frameworks.
• Strong knowledge of modern CRM, enrichment and intent-data systems.

Responsibilities

• Map time-consuming workflows across Sales, Marketing and Customer Success and prioritise opportunities.
• Build AI agents, integrations and automations for research, enrichment, reporting and enablement.
• Turn manual go-to-market processes into dependable workflows on top of existing tech.
• Maintain structured, machine-readable commercial context for tools and agents.
• Measure adoption and results through pipeline metrics and customer retention impact.
• Document builds and develop a roadmap of productivity improvements.

Skills

Revenue operations

Go-to-market engineering

AI tooling

LLMs

APIs

Low-code/no-code

Tools

CRMs (Salesforce)

Enrichment systems

Intent data platforms

Job description

Referment is working with an AI-powered B2B marketing technology company whose platform helps commercial teams run account-based campaigns and use engagement data across the buyer journey. This role sits within Marketing and builds the internal AI tooling, agents and automations used by Sales, Marketing and Customer Success. You will identify operational bottlenecks, ship practical systems that remove repetitive work, and connect each build to measurable commercial or productivity outcomes. It is a hands-on position for someone who combines revenue-operations context with genuine technical curiosity.

The Role

• Map time-consuming workflows across Sales, Marketing and Customer Success, then prioritise the highest-leverage opportunities.
• Build AI agents, integrations and automations for research, enrichment, content production, reporting and enablement.
• Turn manual go-to-market processes into dependable workflows on top of the existing technology stack.
• Maintain structured, machine-readable commercial context so tools and agents use current positioning, customer profiles and playbooks.
• Measure adoption and results through pipeline per person, content throughput, sales-cycle time or customer-retention contribution.
• Document what you build and develop a roadmap of compounding productivity improvements.

What We’re Looking For

• At least three years in revenue operations, go-to-market engineering, marketing or sales operations, or a technical growth role.
• Hands-on experience building with LLMs, AI tooling or agent frameworks.
• Strong knowledge of modern CRM, enrichment and intent-data systems.
• Comfort working with APIs, scripting and low-code or no-code automation.
• An outcome-led approach that links technical work to revenue or efficiency metrics.

Experience embedded with Sales and Customer Success, knowledge of account-based marketing, or a record of shipping internal tools people consistently adopt would be useful.

#Referment