Jobs at Sportradar

Develop high-performance, real-time sports data services using C#/.NET and modern engineering practices. Apply Specification-Driven Development, ATDD/BDD, AI-assisted tooling, AWS/serverless and GitLab CI to build and maintain scalable APIs and frontend features (ideally React). Collaborate in an Agile team and translate cricket domain complexity into software solutions.

Lead commercial enablement across SDRs, Sales Execs and Account Managers globally. Define sales methodology, diagnose funnel issues with data, embed AI-driven coaching, design onboarding and ramp, run commercial launches, own playbooks and content architecture, and partner with managers and revenue ops to drive measurable revenue impact.

Lead revenue forecasting, planning, and RevOps analytics. Build dynamic models for bookings, churn, capacity, quotas, and territory design. Create Power BI/Salesforce reporting, run win/loss analysis, support AOP and GTM investment decisions, and enable data-driven commercial strategy.

Lead cloud cost visibility, tagging, allocation and showback. Drive commitment strategy (RIs, Savings Plans), build FinOps dashboards and tooling, improve forecasting and budgeting, identify waste and rightsizing, define cloud efficiency KPIs, investigate anomalies, and collaborate with engineering and finance to embed cost-aware decision-making.

Lead revenue forecasting, planning, and commercial analytics. Build and maintain dynamic revenue and capacity models, Power BI/Salesforce dashboards, and executive reporting. Partner with Sales, CS, and Finance on quota, territory, and AOP inputs, run win/loss analysis, and use automation/AI to scale RevOps insights.

Lead cloud cost visibility, optimisation, and governance across a multi-million-euro cloud estate. Maintain tagging and allocation, drive commitment/discount strategy, build FinOps reporting and dashboards, improve forecasting and budgeting, identify waste and rightsizing opportunities, define cloud efficiency KPIs, and investigate cost anomalies while partnering with engineering and finance.

Design, build, and maintain reporting and visualization solutions. Analyze stakeholder requirements, develop data models and ETL pipelines, deploy BI reports, document requirements, support data warehousing architecture, and train business users to drive data-driven decisions.

Monitor live betting markets, manage client liabilities, analyze betting data, produce management reports, handle operator queries, validate ML outputs via segmentation, test and QA trading tools, and improve trading performance.

Lead end-to-end group consolidation and financial reporting across multiple entities, maintain FICO master data and governance, prepare topside journal entries, support 20-F disclosures, ensure SOX compliance, drive automation, troubleshoot system issues with IT/vendors, and support audits and M&A consolidation workstreams.