Jordan Montée
Technical Sales @GitGuardian
Signup · Get unlimited contacts
WORK HISTORY
Technical Sales @GitGuardian
Ville de Paris, FR
Sales & Revenue Intelligence - Architected and deployed an AI Sales Analyst to automate MEDDPICC deal reviews, giving sales leadership a clear and consistent view of pipeline health- Deployed an AI Territory Intelligence Agent that integrates CRM and SQL data to surface high-value, uncontacted accounts, focusing reps on the best targets- Automated pre-conference prospecting for 1,400+ attendees, creating a prioritized list of high-value targets and eliminating dozens of hours of manual work for the sales team.Customer Success & Retention - Built an Evidence-Based Feature Adoption Engine that provides definitive usage metrics, allowing the CSM team to proactively address churn risk and identify upsell opportunities- Automated the CSM Renewal Workflow with a data assistant that queries contract data and generates Slack alerts, ensuring no renewal is missed.Engineered GTM Automation Systems- Built and deployed an AI powered contextually aware automated email follow-up system in n8n- Developed Linkforge, a custom web app that automates complex LinkedIn Sales Navigator queries and enriches data, used to perform a full data refresh for an entire sales territory- Created a real-time incident monitoring system (Dragnet) with webhook-to-Slack alerts for high-value prospects, enabling rapid, event-driven outreach.
EDUCATION
NEOMA Business School
Master 2, CIB
Sorbonne Université
Licence, Bachelor in Applied Foreign Languages to Business • International Commerce & Economics
ABOUT JORDAN MONTÉE
I build AI agents that solve expensive business problems.My focus is on creating autonomous systems that can reason, make decisions, and execute tasks. My primary research project, DeepTrade, is an attempt to see if an LLM can trade financial markets profitably.At GitGuardian, I apply this same builder\'s mindset to GTM and sales challenges. I\'ve architected and shipped AI tools that automate prospecting, analyze pipeline health, and surface revenue opportunities, directly saving the sales team dozens of hours and sharpening their focus.Core Toolkit & Specialties- AI & Automation: LLM-powered agents, Prompt Engineering, Data Pipelines- Full-Stack: Python (Pandas, Dash), React, Node.js, PostgreSQL- GTM & Sales Tech: GTM Strategy, HubSpot, MEDDPICC AutomationAcademic Focus:I am currently conducting research on Deep Learning for Systemic Risk Management. My Master\'s thesis proposes an End-to-End architecture (TFT) that bypasses traditional price forecasting to directly generate optimal portfolio weights, specifically engineered to maximize the Conditional Sharpe Ratio during market crashes.
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.