Job Description

Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We’re redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace.

Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall’s AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence.

Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We’ve built a product customers love and a business that’s scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines.

At Aircall, you’ll join a company in motion. We’re ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth.

How we work at Aircall: We’re customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you’ll feel at home here.

This is an enablement role first — and an AI role because of it.

You'll be joining Aircall's GTM Enablement team at a moment when the function is being rebuilt for an AI-native world. Day to day, you'll be doing what great enablement practitioners do: producing content that changes field behaviour, expanding and managing the Aircall Learning Lab, owning the Highspot-to-Confluence content ecosystem, and making sure our GTM teams have sharp, current product knowledge at their fingertips.

The AI piece is real — and genuinely unusual — but it serves the enablement mission. We're piloting a structured AI Operating Model to make the function faster, more consistent, and more scalable. Your job is to help prove it works by doing excellent enablement work with it.

This internship is based in our Aircall Paris office. Duration will be 6 months.

~60% Enablement Delivery

Content creation, Highspot & Confluence management, Aircall Learning Lab, customer adoption programmes, and GTM product knowledge management. This is the foundation

~40% AI OS Pilot

Operate and extend a production AI Operating Model built on Claude Code — because it makes the enablement work better, faster, and more consistent.

Key Enablement Responsibilities (~60%)

• Content Design & Creation
• This is where you'll spend most of your time. You'll produce assets that AEs, AMs, SEs/CEs, SDRs, Customers, and Partners actually open and use — not documentation that collects dust in a folder.
• Design and produce enablement content across formats: playbooks, one-pagers, quick-reference guides, training decks, demo scripts, and certification materials
• Write for diverse GTM audiences adapting tone, depth, and format to each persona
• Develop visual assets and content layouts that follow Aircall brand guidelines and information design principles
• Create micro-learning content: short-form guides, checklists, and job aids that reps can use in the flow of work

AI Operating Model Pilot (~40%)

This is the part that makes the role unique — but being a unicorn only makes sense on top of excellent enablement fundamentals.

You'll be embedded in a live experiment: a production AI OS built on Claude Code that gives the enablement function persistent operational memory, deterministic workflows, and a tool ecosystem (Slack, Gmail, Google Calendar, Google Docs, Jira). The experiment only matters if the enablement output improves. That's the test.

Months 1–2: Learn the System

• Get onboarded onto the existing AI OS instance and shadow core workflows (/scope, /think, /roadmap, /eow)
• Document what works, what's confusing, and what breaks — from a genuinely fresh perspective
• Start using Claude Code to accelerate your own enablement tasks: content drafting, KB audits, learning path outlines

Qualifications

Required

• Strong writing and content design instincts. You take complex information and make it clear, scannable, and useful for a busy field audience. Documentation, tutorials, course content, structured blogs — all counts.
• Currently pursuing a degree in Computer Science, Data Science, Information Systems, Web Development, Digital Communications, or a related field blending technical and communication skills.
• Comfortable in a terminal. You don't need to be a senior dev, but you shouldn't be afraid of the command line.
• Basic familiarity with git and version control. Branching, committing, PRs — you'll work with markdown files in repos.
• Strong written English. The team operates in English; French is a plus for Paris office life.
• Genuine curiosity about AI as a productivity tool, not just a novelty — you should have opinions about how LLMs should and shouldn't be used.
• Structured thinking. You can break an ambiguous problem into steps and document your reasoning.

What Success Looks Like

By Month 3

✓ 2+ enablement assets shipped and actively used by the field

✓ Highspot content audit complete — migration plan in motion

✓ At least one new Learning Lab module live and tracking engagement

✓ Go-to person for at least one content domain

✓ Independently using the AI OS for your enablement work

✓ 3+ original skills built and usable by teammates

✓Highspot-to-Confluence migration complete — content restructured, not just moved

By Month 6

✓ Learning Lab expanded with

measurable uptick in customer engagement and certifications

✓ GTM KB is current, well-structured, and actively used by field teams

✓ Customer adoption content in place for at least 2 major product areas

✓ AI OS Team Deployment Guide exists and has been tested

✓ Before/after impact documented on 2+ enablement workflows

What You'll Learn

• Enablement craft. How to design content and programmes that actually change field and customer behaviour — not just materials that tick a box.
• Content ecosystem management. How to run a Highspot-to-Confluence migration without losing institutional knowledge or momentum.
• Learning programme design. How to build, launch, and iterate on a Customer and Partner Academy that drives measurable product adoption.
• Knowledge management at scale. Information architecture, content lifecycle, multi-audience content strategy.
• AI agent system design. How to deploy and govern AI workflows for real business use cases — knowledge that barely exists in the market right now.

Why this matters

Most companies are giving employees ChatGPT access and calling it "AI transformation." That's not transformation — that's a search engine with better prose.

The thesis behind this role is that AI becomes dramatically more useful when you give it structured operational memory, deterministic workflows, a tool ecosystem, and the ability to improve its own processes over time. One person has proven this works at Aircall. The question is whether it scales — and whether it produces better enablement outcomes, not just faster ones. That's what you're here to answer.

Why join us?

🚀 Key moment to join Aircall in terms of growth and opportunities

💆‍♀️ Our people matter, work-life balance is important at Aircall

📚 Fast-learning environment, entrepreneurial and strong team spirit

🌍 45+ Nationalities: cosmopolite & multi-cultural mindset

💶 Competitive salary package & benefits

DE&I Statement:

At Aircall, we believe diversity, equity and inclusion – irrespective of origins, identity, background and orientations – are core to our journey.

We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We’re working to create a place filled with diverse people who can enrich and learn from one another. We’re committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive.

We are strongly committed to hiring a diverse and multicultural team and we encourage applications from traditionally underrepresented backgrounds.