Agentic GTM Operator (2366BD7)

Referment; Paris; On-site; EUR 70,000 - 110,000; Full time

Job summary

Referment, an AI-powered B2B marketing technology company, seeks a hands-on revenue-operations engineer in Paris. You will build AI tools, agents and automations that streamline Sales, Marketing and Customer Success workflows, linking technical work to measurable revenue gains.

You will map workflows, ship practical systems, maintain machine-readable context, and measure adoption to drive productivity improvements across GTM teams.

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.
• An outcome-led approach that links technical work to revenue or efficiency metrics.

Responsibilities

• 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.

Skills

LLMs

AI tooling

Agent frameworks

CRM systems

APIs

Scripting

Low-code/no-code

Revenue ops

Tools

CRM platforms

APIs

Low-code 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