JobtitlesAI: AI Job Title Classification for CRM & Leads

JobtitlesAI takes the guesswork out of understanding who your leads actually are. Using a machine-learning classification engine, it parses raw job titles and sorts them into two meaningful buckets: field (like sales, finance, or IT) and position level (like executive, management, or assistant). Instead of manually combing through spreadsheets or CRM records to figure out whether a contact is a decision-maker or an individual contributor, teams can automate the entire process in seconds. Built for flexibility, JobtitlesAI works however your workflow demands—through a direct API integration, a simple CSV upload for bulk jobs, a native Hubspot connection, or even directly inside a spreadsheet using the IMPORTDATA() function. This makes it equally useful for developers building lead-scoring logic and for sales or marketing teams who just want a quick, no-code way to segment contacts. With multilingual support for English and French, it's built to handle real-world, messy title data at scale. From prioritizing high-value LinkedIn prospects to scrubbing outdated CRM entries and organizing job postings by category, JobtitlesAI turns unstructured text into structured, actionable data. It's a lightweight but powerful utility for any team that relies on accurate contact segmentation to drive revenue.

1. Get an API key to authenticate your requests. 2. Choose your integration method: call the API directly, upload a CSV file for bulk processing, connect via the native Hubspot integration, or use the IMPORTDATA() function inside a spreadsheet. 3. Feed in raw job titles from your leads, contacts, or job listings. 4. Receive structured output classifying each title by field (e.g., sales, finance, IT) and position level (e.g., executive, management, assistant). 5. Use the categorized data to score leads, clean your CRM, or organize job offers.