1 day ago
Base Salary
$200k - $250k/yr
Responsibilities
- Architect scalable, low-latency pricing systems for real-time buyer pricing decisions.
- Deploy, operate, and maintain pricing models and experimentation frameworks in partnership with Data Science.
- Establish SLOs and reliability practices for pricing services.
- Implement instrumentation, tracing, and anomaly detection to ensure pricing accuracy and visibility.
- Architect and maintain large-scale pricing experimentation platforms, including A/B testing, user cohort logic, and automated evaluation.
- Develop API contracts or event-driven systems integrating pricing decisions with checkout and catalog platforms.
- Create self-service tooling such as guarded configuration, experiment templates, observability dashboards, and runbooks.
- Design what-if simulation capabilities to evaluate counterfactual pricing scenarios and their financial and behavioral impact.
- Contribute to pricing governance, including decision policies, approval thresholds, and change-management controls.
- Collaborate with Product, Data Science, and Analytics stakeholders to turn pricing strategy into measurable technical outcomes.
Requirements
- Bachelor’s degree or U.S. equivalent in Computer Science, Computer Engineering, or a related field plus 5 years of relevant professional experience, or a master’s degree or U.S. equivalent plus 3 years of relevant professional experience.
- At least 3 years of experience designing and developing large-scale, low-latency pricing or revenue-optimization systems in high-volume transactional environments.
- At least 3 years of experience implementing observability and reliability frameworks for pricing services, including tracing and real-time anomaly detection.
- At least 3 years of experience architecting and maintaining pricing experimentation platforms, including A/B tests at scale, cohort logic, and automated experiment evaluation.
- At least 3 years of experience developing API contracts or event-driven systems integrating pricing decisions with checkout and catalog platforms.
- At least 3 years of experience collaborating with Product, Data Science, and Analytics stakeholders on pricing strategy and technical outcomes.
Benefits
- Base annual salary of $200,000–$250,000, plus equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits.
- Telecommuting is permitted up to 3 days per week; otherwise, the role reports to StubHub’s New York City office at 3 World Trade Center.
- Equal opportunity employer with a stated commitment to workplace diversity.
Categories
About StubHub
StubHub operates a web and mobile marketplace for buying and reselling tickets to sports, concerts, theater, and other live events, serving both fans and professional sellers. Its business model centers on service and transaction fees, along with partnerships with teams and promoters. Founded in 2000 and headquartered in New York, it is privately held and part of Viagogo, with operations spanning markets across North America, Europe, and beyond.