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Major League Soccer Tech Stack

Professional soccer league with media production and fan analytics infrastructure

Spectator Sports New York City 201–500 employees Founded 1996 Privately Held

Major League Soccer operates a 30-club sports league across North America with broadcasting and fan engagement at its operational core. The tech stack reveals a media-heavy organization: Adobe (Photoshop, Illustrator, Premiere Pro), Avid, Telestream, and Signiant for content creation and distribution, paired with Snowflake, Python, scikit-learn, TensorFlow, and MLflow for analytics. Active projects in semantic intelligence, knowledge graphs, and fan segmentation suggest MLS is building data infrastructure to support real-time broadcast decisions and marketing optimization—a shift from traditional sports-league operations toward data-driven fan engagement and partnership monetization.

Tech Stack 39 technologies

Core StackZoom Asana Adobe Photoshop Adobe Illustrator Adobe InDesign Snowflake Python Adobe Premiere Pro scikit-learn TensorFlow PyTorch MLflow Salesforce Braze Marketo Webex Zoom Phone Concur Iconik Box Dropbox Aspera Signiant macOS Telestream OBS Studio Avid LiveU X XGBoost+8 more
AdoptingGreenhouse

What Major League Soccer Is Building

Challenges

  • Semantic consistency across analytics
  • Network performance monitoring
  • Bias mitigation
  • Improving fan engagement
  • Optimizing marketing investments
  • Improving workflow efficiency
  • Reducing incident issues
  • Strengthening accountability
  • Data leakage
  • Driving business opportunities for new and existing partnerships

Active Projects

  • Mls cup broadcast production
  • Mls next all-star game
  • Mls is back programming
  • Mls all-star programming
  • Semantic intelligence layer
  • Mls cup coverage
  • Knowledge graph development
  • Media mix modeling and multi-touch attribution
  • Fan segmentation and predictive scoring
  • Operationalizing model outputs into crm

Hiring Activity

Accelerating25 roles · 15 in 30d

Department

Marketing
8
Ops
4
Engineering
2
Finance
2
Legal
2
Security
2
Data
1
Executive
1

Seniority

Senior
9
Director
8
Junior
2
Manager
2
Mid
1
Principal
1
VP
1

Notable leadership hires: Content Director

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About Major League Soccer

Major League Soccer is a professional soccer league headquartered in New York City, operating 30 clubs across the United States and Canada. The organization produces and distributes matches through Apple TV and other platforms, with broadcasts reaching millions of fans. Beyond live match coverage, MLS is expanding into analytics and fan insights: ongoing projects include media mix modeling, fan segmentation, knowledge graph development, and operationalizing predictive models into CRM workflows. The organization sits at the intersection of sports media production, rights management, and direct-to-consumer fan engagement.

HeadquartersNew York City
Company Size201–500 employees
Founded1996
Hiring MarketsUnited States

Frequently Asked Questions

What tech does Major League Soccer use for broadcasting?

MLS uses Adobe Premiere Pro, Avid, Telestream, and Signiant for content creation, editing, and distribution. They also deploy Zoom, Webex, and OBS Studio for remote production workflows.

What analytics tools does MLS use?

MLS runs Snowflake for data warehousing, Python for development, and scikit-learn, TensorFlow, XGBoost, and MLflow for machine learning pipelines. They recently adopted Greenhouse for recruitment.

How this profile is built

Major League Soccer'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.