Meetic Tech Stack

Dating platform serving 20+ European markets with ML-powered matching

Software Development Paris, Île-de-France 201–500 employees Privately Held

Meetic operates a multi-brand dating platform across 20+ countries, built on a modern data stack (BigQuery, Kafka, Spark, Elasticsearch) paired with inference APIs and ML pipelines. Current hiring leans heavily marketing-driven (3 of 5 open roles) focused on user acquisition and campaign optimization, while the tech stack—particularly Vertex AI and inference APIs—suggests active investment in ML-powered matching and personalization rather than infrastructure scaling.

Tech Stack 22 technologies

Core StackVertex AI BigQuery Elasticsearch Kafka Scala Python Apache Spark AWS Google Ads Swift SwiftUI SQL Cloud Run TikTok Ads Manager Meta Business Manager Snapchat Excel iOS UIKit Swift Concurrency Swift Package Manager Fastlane

What Meetic Is Building

◆Challenges

Scaling user acquisition
Optimizing performance across platforms
Performance reporting insights

▲Active Projects

Ml pipelines and ci/cd workflows
Inference apis for ml models
Annual integrated marketing plan
Special partnership projects
High-impact user acquisition campaigns
Scalable user acquisition strategy
Creative test strategy development

Hiring Activity

Accelerating5 roles · 3 in 30d

Department

Marketing

Data

Engineering

Seniority

Mid

Senior

Junior

Company intelligence

Find more companies like Meetic by tech stack, pain points and active projects

Get started free

About Meetic

Meetic is a Match Group subsidiary operating a portfolio of dating platforms across Europe and beyond, including Meetic, Match, OurTime, and seven other brands spanning 20+ countries and 18 languages. The company has facilitated over 10 million couple formations across Europe and has organized thousands of events for single users since 2012. Teams design and operate platforms for diverse user segments, from mainstream dating to niche communities like over-50 singles and single parents. The platform runs on a data-heavy architecture combining cloud storage (BigQuery), streaming (Kafka), and search (Elasticsearch), with recent focus on ML-driven matching inference and user acquisition optimization.

HeadquartersParis, Île-de-France

Company Size201–500 employees

Hiring MarketsFrance

Frequently Asked Questions

What is Meetic's tech stack?

Meetic uses Vertex AI, BigQuery, Elasticsearch, Kafka, Spark, and Python for core platform and ML. iOS development leverages Swift, SwiftUI, and UIKit. Marketing runs on TikTok, Google, Meta, and Snapchat platforms.

What is Meetic working on?

Active projects include ML pipelines and CI/CD workflows, inference APIs for matching models, user acquisition strategy and campaign optimization, and integrated marketing planning across brands.