5 management jobs found

ABOUT US: Imagine being part of one of the most supportive communities you will encounter in your professional career. Imagine the company where ‘teamwork’ is not just a buzzword, but one of the core values of each employee. Imagine the place with huge emphasis on building own services using the quality-focused engineering practices and cloud-first principles. The place where you can become great at things you’re currently good at. All that while maintaining work‑life balance.  The ‘Odds Tribe’ in Sportradar offers popular trading services, used by over 200 organizations worldwide. Our team of experts manage betting probabilities using our leading-edge mathematical models. Our clients can control their own sportsbooks in web interfaces, configuring everything from event and odds creation to market monitoring and result confirmation.  At Sportradar, we are committed to building a diverse and inclusive culture and community. We partner with organizations and serve a customer...

At Sportradar we’ve experienced a period of sustained hypergrowth through a highly focused strategy based upon industry product innovation. As a part of Sportradar's international Finance team, your contribution ensures the continuation of this trajectory. Reporting to a Data Analyst Manager you maximize the value creation of the commercial and operational teams by providing quantitative and qualitative analysis to our management with insights into what drives profitable growth.   THE CHALLENGE: As member of the global Data Office, you will influence strategic and operational decision making by providing data driven analysis and insights “Tell the story” focusing on comprehensive analyses across product units, customer segments and other product/organizational dimension and providing market context and competitive benchmarks Utilizing AWS cloud-based analytics platform and framework find meaningful patterns in data to uncover opportunities to drive organic/inorganic growth...

Sportradar's 24/7 Content is an AI-powered sports data product designed to give betting operators round-the-clock coverage of niche sports. Using real-time, deep data, it enables the creation of new and expanded betting markets. Using advanced Computer Vision technology, Sportradar 24/7 Content automatically tracks and processes real-time data across a range of sports with near-instant speed and accuracy, covering over 500,000+ exclusive matches a year. Optimised for non-prime timeslots, it sets new standards in the industry while maintaining the highest levels of integrity and reliability, supported by a dedicated live monitoring team that ensures data quality and acts as an additional safety net for clients. THE CHALLENGE: Maintain and administrate all reporting tools with regards to 24/7 content. Support and manage internal processes and operational initiatives across the 24/7 Content portfolio. Monitor and analyse the 24/7 Content portfolio, flagging optimisation...

ABOUT US You’ll join MTS (Managed Trading Services) — the platform behind Sportradar’s risk betting management, processing millions of bets in real time for operators around the world. Our teams own high-throughput, low-latency services: risk and liability, odds and offer, ticket validation, and the data plane that feeds them. We work in a modern cloud-native stack — Java (Spring Boot / Quarkus) , Kafka / MSK , gRPC & Protobuf , AWS (EKS, ECS, DynamoDB, Aurora) , ArgoCD / GitOps , Terraform , and observability on Grafana, Prometheus and OpenTelemetry . This is a great place to level up: you’ll ship real features to production quickly, learn a genuinely rich domain, and grow toward owning larger pieces of it.   THE CHALLENGE  Design, build, test and ship backend services and APIs that are part of a larger, real-time system — and see them through to production. Deliver in small increments. Break work into concrete, independently shippable pieces that land...

ABOUT US: We are looking for a Machine Learning Engineer to join Sportradar's AI Unit, an established, high-performing team of AI experts working on the design, development, and deployment of advanced machine learning models that power sports betting, trading, media, and sports performance products. As part of our AI team, you will leverage Sportradar's unique sports datasets, betting transaction data, user interaction data, and large-scale tracking data to develop innovative AI and analytics solutions. Depending on your expertise and interests, your work may focus on predictive analytics for sportsbook risk management and liquidity-driven odds trading, or on generative AI and deep learning solutions for sports performance modelling, simulation, and virtualization. You will collaborate closely with product owners, technical leads, and software engineers to transform AI research into scalable production systems that deliver measurable business impact across Sportradar's...