Agentic GTM Operator (366BD75)

Referment; Paris; Sur place; EUR 70 000 - 110 000; Plein temps

Résumé du poste

Referment seeks a GTM Engineer to own and optimize revenue operations tooling, data flows, and AI-powered workflows across Sales, Marketing and Customer Success. You will turn repetitive processes into reliable, measurable automations and pipelines, aligning technical builds with revenue impact.

Ideal candidates bring hands-on experience with LLMs and AI tooling, solid CRM and data-enrichment knowledge, and the ability to connect APIs and low-code automations to concrete business outcomes.

Qualifications

• 3+ 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.

Responsabilités

• 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.

Connaissances

LLMs

AI tooling

Agent frameworks

CRM systems

APIs

Scripting

Low-code automation

Description du poste

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.

This could suit a GTM Engineer, technical Revenue Operations specialist or Growth Engineer who wants broad ownership across commercial systems rather than a narrowly administered operations role.

#Referment