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The Software Engineer II will design and maintain fullstack systems for AI-powered features, develop scalable services, and collaborate with product teams, focusing on innovative consumer experiences.

As a Software Engineer II, you'll design, develop and maintain fullstack features and platform services for StubHub's consumer applications, focusing on performance, reliability, and collaboration across teams.

The Software Engineer II role involves building features for an AI-powered chatbot, managing customer order issues, and developing backend solutions for automated support. Collaborating with teams to enhance user experiences and efficiency is key.

The Data Science Manager will lead a team focused on machine learning projects, mentoring team members, and collaborating with stakeholders to achieve strategic goals.

Design, develop, test, deploy, and maintain full‑stack features across web and mobile platforms. Collaborate with cross-functional teams, manage priorities and deadlines, mentor teammates, and deliver large‑scale consumer product solutions.

Lead and scale venue partnerships across North America by securing distribution rights, onboarding venue integrations, driving sell-through with pricing and activation plans, and recruiting a partnerships team while working cross-functionally to hit revenue and KPI targets.

Lead and scale venue partnerships across North America: secure distribution rights, negotiate commercial models, onboard integrations, drive demand and sell-through, coordinate pricing strategy, represent StubHub externally, and hire and manage a partnerships team.

Lead and scale venue partnerships across North America: secure distribution rights, negotiate commercial terms, onboard integrations, activate demand and pricing strategies, and recruit and lead a partnerships team while collaborating cross-functionally to meet revenue and KPI targets.

Own execution and scaling of marketing workflows and operational processes; analyze campaign and experiment performance; manage marketing data integrity and reporting; drive automation and tooling to increase efficiency; learn underlying architecture and technologies powering messaging and marketing platforms.

The Senior Data Scientist will lead the development of predictive models to improve ticket fulfillment and fan experience, collaborating with various teams and ensuring data quality and model performance.