Sportradar

HQ
St. Gallen
Total Offices: 11
2,300 Total Employees
Year Founded: 2001

Sportradar Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers accidental death & dismemberment insurance

Offers life insurance

Offers retiree health & medical

Offers dental insurance

Offers vision insurance

Offers health insurance

Offers Health Savings Account (HSA)

Offers generous parental leave

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers generous PTO

Provides paid sick days

Provides paid holidays

Company Culture

Utilizes a flexible work schedule

Offers a remote work program

Provides free snacks and drinks

Career Growth + Development

Job training & conferences

Recently posted jobs

57 Minutes AgoSaved
In-Office
Taipei City, TWN
Information Technology • Sports
Provides application support for Sportradar MSS software, troubleshooting customer issues through log analysis and technical investigation. Monitors systems, follows incident-resolution procedures, meets customer SLAs, documents resolutions, and deploys releases to UAT and production environments. The role also requires administration of Windows Server, basic Oracle Linux services knowledge, networking concepts, customer communication, and collaboration with internal teams.
12 Hours AgoSaved
In-Office
Las Vegas, NV, USA
Information Technology • Sports
Own the vision, roadmap, growth, and commercial success of Sportradar’s low-latency Prediction Market Feed. Lead product strategy, customer discovery, KPI development, technical analysis, AI-enabled prototyping, and cross-functional delivery across engineering, operations, commercial, and US sports league partners. Support broader US sports data initiatives and develop products for prediction markets, market makers, and latency-sensitive customers.
12 Hours AgoSaved
In-Office
New York, NY, USA
Information Technology • Sports
Own the vision, roadmap, development, adoption, and commercial growth of Sportradar’s low-latency Prediction Market Feed. Partner with engineering, AI, operations, commercial teams, customers, and sports leagues to define KPIs, analyze data flows, troubleshoot issues, support launches, and translate customer needs into scalable products. The role also contributes to broader US sports data initiatives, AI-powered products, and strategic opportunities across prediction markets and real-time sports data.