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Grindr Tech Stack

AI-native mobile platform for LGBTQ+ connection and community

Software Development Los Angeles, California 51–200 employees Founded 2009 Public Company
grindr.com LinkedIn

Grindr operates a location-based mobile app serving 15M+ monthly active users across 190+ countries, with AI and machine learning woven into core product surfaces: connection relevance, safety, personalization, and spam detection. The tech stack—Python, Kafka, Spark, Databricks, Snowflake, Kubernetes on AWS—reflects a data-heavy infrastructure; active hiring across product, engineering, and data (combined ~36 roles) paired with projects around recommendation-system improvement and automated model deployment suggests the company is scaling ML capabilities to handle growth and tighten matching quality.

Tech Stack 66 technologies

Core StackAWS Kubernetes AWS Lambda Python Apache Airflow Apache Spark Databricks Slack Zoom Swift SwiftUI Kotlin Redis PostgreSQL Kafka Java Scala Snowflake Docker Helm CloudTrail IAM VPC Xcode RxSwift Async/Await Bitrise Fastlane Android Kotlin Coroutines+35 more

What Grindr Is Building

◆Challenges

  • Detecting spam
  • Modernizing legacy systems
  • Improving recommendations
  • Scaling platform for user growth
  • Improving recommendation quality
  • Need to build marketing function
  • Lack of dedicated marketing leader
  • Optimizing activation funnel
  • Reducing onboarding friction
  • Improving rewarded ads

▲Active Projects

  • Production model deployment
  • Recommendation system improvement
  • Spam detection system
  • Automated model deployment workflows
  • Modernizing legacy systems
  • Paid media campaigns
  • Organic acquisition channels
  • Woodwork go-to-market strategy
  • End-to-end conversion funnel for woodwork
  • Supply quality optimization

Hiring Activity

Accelerating55 roles · 25 in 30d

Department

Product
13
Engineering
12
Data
11
Marketing
6
Design
3
Finance
3
Legal
3
Ops
1

Seniority

Staff
22
Senior
20
Principal
8
Manager
2
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About Grindr

Grindr is a publicly traded consumer technology company built for the gay community, offering a mobile platform for real-time connection, messaging, and discovery across 190+ countries. The company operates as a profitable, mission-driven business with 15M+ monthly active users; product surfaces include dating and social networking, health resources, travel, and advertising. Engineering and product teams build on AWS infrastructure using Python, Kafka, and Spark for recommendation and safety systems; the data platform (Databricks, Snowflake) powers personalization and fraud detection at scale. The company is actively hiring across product, engineering, data, and marketing roles, indicating expansion in both core platform development and go-to-market capabilities.

HeadquartersLos Angeles, California
Company Size51–200 employees
Founded2009
Hiring MarketsUnited States

Frequently Asked Questions

What is Grindr's tech stack?

Grindr uses AWS (Lambda, CloudTrail, IAM, VPC), Kubernetes, Python, Kafka, PostgreSQL, Redis, Databricks, Snowflake, Docker, and Helm. Mobile development runs on Swift (Xcode, SwiftUI, RxSwift, Async/Await) for iOS and Kotlin/Android for Android, with Bitrise and Fastlane for CI/CD.

Where is Grindr headquartered?

Grindr is headquartered in Los Angeles, California and currently hiring across the United States.

How this profile is built

Grindr's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.