AI-Driven RevOps Analytics Intern

Crossbeam; Paris; On-site; EUR 13,000 - 20,000; Full time

Job summary

Crossbeam is seeking a Revenue Operations Intern to support daily operations, data insights, and AI-driven processes across Sales, Customer Success, Partnerships, Marketing, and Finance. You’ll gain hands-on exposure to how a SaaS business generates revenue, with AI as a co-pilot and your building material.

You’ll learn to analyze pipeline, forecast trends, and automate routine tasks, working with stakeholders in a fast-paced tech environment.

Qualifications

• Experience with SQL and data analysis on a modern stack, with AI automation where possible.
• Familiarity with RevOps or GTM tools is a plus.
• Strong communication skills in English and French.

Responsibilities

• Daily Ops frontline: triage Salesforce access and fixes, data pulls, tool questions; automate recurring requests.
• Handle incoming deals post-close: verify account setup, contract and billing details.
• Analyze pipeline, forecast accuracy, and partner-sourced revenue; build AI-assisted routines.
• Improve scoring using product usage and market signals to help sellers act on insights.
• Design and ship AI workflows: call prep, account briefs, pipeline reviews, CRM hygiene.
• Keep deal flow clean from opportunity to invoice across systems like Salesforce, Ironclad, Maxio.
• Support GTM programs from target accounts to results tracking.
• Train reps on tools and AI workflows; gather feedback to iterate.

Skills

SQL

Data analysis

Excel/Sheets

Bilingual FR/EN

Automation

AI workflows

Tools

Salesforce

HubSpot

Gong

Clay

Ironclad

Maxio

Snowflake

dbt

Github

Job description

Crossbeam is seeking a Revenue Operations Intern to support daily operations, data insights, and AI-driven processes across Sales, Customer Success, Partnerships, Marketing, and Finance. You’ll gain hands-on exposure to how a SaaS business generates revenue, with AI as a co-pilot and your building material.

You’ll learn to analyze pipeline, forecast trends, and automate routine tasks, working with stakeholders in a fast-paced tech environment.