Data Analyst, Revenue Operations Intern (M/F/X) Crossbeam
Ecosystem Revenue Platform for enhanced AI data context.
Stage
Paris
Pas de télétravail
Salaire : non spécifié
> 6 mois
BAC +4
Les compétences que l’on cherche
Communication
Gather
GitHub
N8n
DBT
+5
Votre nouvelle entreprise
137 collaborateurs
Software
SaaS / Cloud Services
Âge moyen : 34
Créée en 2018
It’s an exciting time at Crossbeam. Every GTM team is experimenting with AI and the smartest ones are realizing that their AI is only as powerful as the data behind it. That’s exactly where we come in.
Crossbeam is the Ecosystem Revenue Platform that gives AI the context it’s missing. While most GTM tools feed their AI the same first-party CRM data and third-party signals that every competitor has access to, Crossbeam unlocks a third layer: second-party ecosystem data. The one input that makes your AI smarter than your competition’s
Vos missions au quotidien
About Crossbeam
The highest-performing go-to-market teams have figured out how to turn their partner ecosystem into a revenue engine, and Crossbeam is the platform that makes that possible. Companies use Crossbeam to securely compare CRM data with partners, revealing shared customers, overlapping prospects, and warm paths into deals.
That second-party data becomes Ecosystem Intelligence - a layer of unique signals and recommendations that helps revenue teams uncover new opportunities, target the right accounts, and win faster. We pioneered the category of ecosystem-led growth, and now we’re defining what comes next: go-to-market powered by AI-native ecosystem intelligence.
The role
Revenue Operations is the engine room of a SaaS company - how leads become pipeline, pipeline becomes revenue, and revenue is retained and grown.
As our Revenue Operations Intern, you’ll work directly with the Revenue Operations Lead at the center of Sales, Customer Success, Partnerships, Marketing and Finance. You’ll learn how a SaaS business really makes money, and you’ll learn it the way the job is done now: with AI as your co-pilot and your building material.
Your missions
Daily Ops frontline: be the first point of contact for the team’s daily Ops requests (Salesforce access and fixes, data pulls, tool questions). Triage and solve them, then turn the recurring ones into automations or AI self-serve answers.
Incoming deals: handle new deals as they close, from order form checks to account, contract and billing setup so every new customer starts clean.
Pipeline and forecast: analyze conversion, win rates, sales cycles and partner-sourced revenue, and turn recurring analyses into AI-assisted routines instead of slides.
Scoring and targeting: improve our account and lead scoring using product usage, ecosystem data and market signals, and help sellers act on it.
AI for GTM teams: design and ship agents and workflows for concrete sales and CS routines: call prep, account briefs, pipeline reviews, follow-ups, CRM hygiene.
Revenue processes: keep our deal flow clean from opportunity to contract to invoice (Salesforce, Ironclad, Maxio), and automate the manual steps you find.
GTM programs: support campaigns from target account lists to results tracking.
Enablement: train reps on the tools and AI workflows you build, gather feedback, iterate.
What you’ll learn
How SaaS revenue works: funnel, pipeline, ARR, retention, pricing, expansion…
How to apply AI to real business problems: spotting what’s worth automating, prompting well, building agents and workflows, and checking if the output is right.
Analytical rigor: SQL and data analysis on a modern stack, with AI to go faster.
Working with stakeholders: scoping needs with sales leaders, shipping, measuring adoption and impact.
You’ll be able to run revenue operations end to end, with AI-native habits most RevOps teams are still trying to build.
Our stack
AI and automation: Claude, n8n
GTM systems: Salesforce, HubSpot, Gong, Clay, Ironclad, Maxio
Data: Snowflake, dbt, Github
Ce que l’on cherche
You’re drawn to business: sales, growth, how companies scale.
You’re comfortable with data (SQL and Excel/Gsheet) and like finding the story in the numbers.
You’ve already used AI beyond chatting: automation, a custom GPT, a workflow. Show us.
You communicate clearly and enjoy working with many teams.
You speak French and English fluently.
Final-year internship or second half of a gap year.
Previous internship in SaaS, consulting or finance are a plus.
📅 Start date: March, 2027 - 6 months internship.
📍 Paris: 37 av Trudaine 75009, Paris
Nos étapes de recrutement
Intro call with our HR Generalist (30 min).
Case study: analyze a pipeline dataset and propose where AI could change how the team works. Any AI tools allowed; walk us through your approach.
Meeting with the Revenue Operations Lead (1 hour).
Culture fit with the Revenue Operations Lead, our COO and the team at the office.
