Talented: AI-Powered Job Board SaaS with OpenAI Candidate Matching
A full-stack SaaS platform that connects employers with the right candidates using AI-powered matching — not keyword filters. Multi-tenant design, Stripe billing, a built-in ATS, and SEO-optimised public job pages. Zero to production in 60 days.
Project Overview
Talented is an AI-driven job board SaaS built to replace keyword-based job matching with intelligent candidate scoring. Employers post jobs and get a ranked shortlist of candidates. Candidates create profiles and receive role recommendations tailored to their actual skills — not just job title matches. The platform handles the full hiring workflow from job post to offer, with a subscription model that scales with team size.
The Challenge
Traditional job boards surface candidates who match job titles and keyword lists — not the people who can actually do the job. The brief was to build a platform where the AI does the heavy lifting: parsing resumes, understanding job requirements in context, and scoring fit accurately enough that employers can trust the shortlist.
On top of the AI layer, the platform needed to function as a complete SaaS business out of the box — multi-tenant data isolation, subscription billing, an embedded ATS, and SEO-optimised public pages that bring in organic traffic without paid acquisition.
Four systems that make Talented work
AI Matching Engine
OpenAI-powered scoring model that ranks candidates against each job posting based on skills, experience depth, and role alignment — not just keyword overlap.
Full Multi-Tenant SaaS
Complete data isolation per employer. Every company sees only their own jobs, candidates, and pipeline. Subscription tiers control feature access and posting limits.
Built-in ATS
Employers move candidates through custom pipeline stages, leave internal notes, trigger automated follow-ups, and track time-to-hire — all inside the platform.
SEO-Optimised Job Pages
Every public job listing is a fully indexed, schema-marked page targeting job-specific long-tail search terms. Google job results integration included.
Everything we built and delivered
Project outcomes
Tech Stack
Questions about this project
How does the AI matching engine in Talented work?
The matching engine sends a structured prompt to the OpenAI API combining the job description requirements with the candidate's parsed resume and profile data. The model returns a fit score and a brief reasoning summary explaining why the candidate is or is not a strong match. Employers see a ranked shortlist with plain-English explanations — not just a percentage score.
How was employer data isolated in the multi-tenant system?
Each employer account operates in a fully isolated data scope at the database level using row-level security in PostgreSQL via Supabase. No employer can query, see, or accidentally access another employer's jobs, candidates, or pipeline data. Role-based access control (Admin, Employer, Candidate) is enforced at the API middleware layer.
How was Stripe subscription billing integrated into the SaaS?
Stripe Billing handles subscription creation, plan upgrades, payment failure retry logic, and invoice generation. Three employer tiers control job posting limits and feature access. Stripe webhooks update the database in real time when subscription events fire — plan changes, failed payments, and cancellations all sync automatically without manual intervention.
Can Digitronix build a similar full-stack SaaS platform?
Yes. Multi-tenant SaaS platforms with OpenAI or LLM integration, Stripe billing, and production-grade Next.js are within our core capability. We scope, design, and build from zero to production. Contact us via WhatsApp or the contact form to discuss your SaaS idea.
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