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The New York Times Tech Stack

Digital-first news organization scaling subscriber growth and real-time content platforms

Newspaper Publishing New York, NY 1,001–5,000 employees Founded 1851 Public Company

The New York Times operates a hybrid tech and content organization: the stack spans full-stack web (JavaScript, Go, Java, Clojure), cloud infrastructure (AWS, Kubernetes), search and streaming (Elasticsearch, Kafka, Google Cloud Pub/Sub), and design tools (Figma, Adobe Premiere Pro). Active adoption of Claude and GitHub Copilot signals AI integration into editorial and engineering workflows. Hiring momentum clusters around subscription growth (product, marketing, sales roles), mobile app development, and real-time data infrastructure—reflecting a strategic shift toward direct reader monetization and personalized content delivery rather than print-centric operations.

Tech Stack 161 technologies

Core StackFigma JavaScript Go GitHub Copilot Cursor AWS Kubernetes Elasticsearch Kafka Java Salesforce InVision Adobe Premiere Pro R HTML CSS iOS Android Claude OpenSearch Solr Vespa Google Cloud Pub/Sub Clojure Excel Google Sheets Google Slides Google Earth Pro ProtoPie Google Workspace+130 more
AdoptingVPAID

What The New York Times Is Building

Challenges

  • Improving workday security performance
  • Optimizing commercial flow
  • Subscription growth
  • Increasing video engagement
  • Data quality and governance
  • Churn reduction
  • Increasing luxury advertising revenue
  • Improving reliability of services
  • Maintaining legacy publishing platforms
  • Site performance reliability

Active Projects

  • Build the foundational technologies that empower all mobile teams by joining the app platforms team
  • Maximize subscriber value within our growth platform
  • Build engaging features to improve the reader experience in our flagship news app
  • Real-time content recommendation platform
  • Opinion short-form vertical video
  • Real-time data pipelines for customer-facing use cases
  • Commercial flow optimization
  • Company-wide programming initiatives
  • Video rollout plans across on-site and off-platform channels
  • App store optimization

Hiring Activity

Steady200 roles · 75 in 30d

Department

Engineering
43
Marketing
19
Design
15
News
15
Data
14
Product
12
Sales
12
Media
10

Seniority

Senior
82
Mid
60
Manager
18
Director
17
Junior
5
Staff
5
Lead
4
VP
3

Notable leadership hires: Subscription Growth Head, Sales Director, Creative Director, Head of Product, News Director

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About The New York Times

The New York Times is a public media and news organization headquartered in New York with 1,001–5,000 employees. The company operates across three primary functions: editorial (reporters, columnists, editors producing journalism), product and engineering (building digital platforms for web and mobile), and commercial (subscription, advertising, and reader analytics). Current operational focus spans a mobile app platform, a real-time recommendation engine for content discovery, short-form video expansion, and subscriber lifecycle optimization. The organization actively hires across engineering, marketing, design, news, data, product, and sales—with notable gaps in senior leadership in some functions. International hiring spans the US, UK, South Korea, Kenya, and Germany.

HeadquartersNew York, NY
Company Size1,001–5,000 employees
Founded1851
Hiring MarketsUnited States, United Kingdom, South Korea, Kenya, Germany

Frequently Asked Questions

What tech stack does The New York Times use?

Core: JavaScript, Go, Java, Clojure, HTML, CSS. Infrastructure: AWS, Kubernetes. Data: Kafka, Google Cloud Pub/Sub, Elasticsearch, OpenSearch, Solr, Vespa. Design/media: Figma, Adobe Premiere Pro, InVision, ProtoPie. Analytics: R, Google Sheets, Excel. Adopting: Claude, GitHub Copilot.

What is The New York Times working on?

Core projects: real-time content recommendation, mobile app platforms and features, short-form opinion video, app store optimization, commercial flow optimization, and real-time data pipelines for subscriber and reader analytics.

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