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Talent.com Tech Stack

Global job aggregation and syndication platform

Technology, Information and Internet Montreal, Quebec 201–500 employees Founded 2020 Privately Held

Talent.com operates a job aggregation network spanning 75+ countries with 30M+ listings pulled from company career pages, staffing agencies, and job boards. The engineering org is small and principal-heavy (5 total, mostly mid and principal-level), focused on XML/API optimization and syndication scaling—core bottlenecks evident in their pain-point list. No recent hiring velocity suggests a stable, efficiency-focused phase.

Tech Stack 13 technologies

Core StackTypeScript Python Go AWS Docker Kubernetes Jira Trello Redshift GCP Azure SQL XML

What Talent.com Is Building

◆Challenges

Optimizing xml performance
Scaling job publishing integrations
Scaling job syndication programs
Improving roas via paid media
Margin analysis for bid management
Optimizing job ad traffic campaigns

▲Active Projects

Job publishing integrations
Jobs api and xml performance optimization
New syndication opportunities
Job syndication programs

Hiring Activity

Minimal5 roles · 0 in 30d

Department

Engineering

5

Seniority

Mid

3

Principal

2

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About Talent.com

Talent.com centralizes job postings from multiple sources into a single job search platform serving job seekers across 75+ countries. The core business model revolves around job publishing integrations (syndicating listings from employers and agencies), a jobs API, and paid media channels for traffic acquisition. The company operates a multi-source data aggregation pipeline (TypeScript, Python, Go, AWS/GCP/Azure, Kubernetes) to ingest, normalize, and serve job data at scale. Revenue derives from syndication partnerships and advertising spend optimization.

HeadquartersMontreal, Quebec

Company Size201–500 employees

Founded2020

Hiring MarketsCanada, United States, Spain

Frequently Asked Questions

What tech stack does Talent.com use?

TypeScript, Python, and Go for core services; AWS, GCP, and Azure for cloud infrastructure; Kubernetes for orchestration; Redshift for analytics; and SQL for structured data.