
10,000+ employees
Founded 1976
🛍️ eCommerce
⚽ Sports
eCommerce • Entertainment • Sports
Ticketmaster is a leading ticketing platform that facilitates the sale of tickets for concerts, sports events, theater performances, and other live entertainment. The platform offers a user-friendly experience for purchasing tickets, as well as managing events and finding popular shows and games. Ticketmaster serves as the official ticket marketplace for many major sports leagues and artist events, making it a key player in the live entertainment industry.
🕒 Yesterday
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10,000+ employees
Founded 1976
🛍️ eCommerce
⚽ Sports
eCommerce • Entertainment • Sports
Ticketmaster is a leading ticketing platform that facilitates the sale of tickets for concerts, sports events, theater performances, and other live entertainment. The platform offers a user-friendly experience for purchasing tickets, as well as managing events and finding popular shows and games. Ticketmaster serves as the official ticket marketplace for many major sports leagues and artist events, making it a key player in the live entertainment industry.
• Lead the design and evolution of scalable data, analytics, and AI platforms that support customer operations • Architect and optimize Databricks-based data pipelines and enterprise data platforms • Drive the development of machine learning, NLP, Generative AI, and operational intelligence capabilities • Deliver actionable insights and executive-level reporting that inform strategic decision-making • Establish engineering standards, governance frameworks, and best practices for data quality • Provide technical leadership, coaching, and day-to-day guidance to engineers and data scientists
• Strong experience designing scalable data platforms • Proven experience as a Data Engineer, Analytics Engineer, Data Scientist, Machine Learning Engineer, AI Engineer, or related technical leadership role • Strong experience with Databricks, Spark, cloud data platforms, and enterprise-scale data pipelines • Experience developing AI/ML solutions using Python and modern data science frameworks • Strong background in statistics, machine learning, NLP, forecasting, and operational analytics • Experience supporting global or enterprise-scale customer operations environments • Knowledge of contact center platforms such as Zendesk, Five9, Amelia, or conversational AI tooling
• Inclusive environment • Opportunities for professional and personal development
Apply Now🕒 Yesterday
Lead Data & AI Platform Engineer at Ticketmaster managing scalable data platforms and AI capabilities. Collaborating across teams to improve customer experience and operational efficiency.
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