Senior Software Engineer - Buyer Pricing

StubHub•New York, NY

6h•$200,000 - $250,000•Hybrid

About The Position

StubHub is hiring a Senior Software Engineer for its Buyer Pricing team to build and operate scalable, low-latency pricing systems that support real-time decision-making and experimentation. The role involves working with Data Science to deploy, operate, and maintain pricing models and experimentation frameworks in production; establishing service level objectives for reliability and performance; and improving instrumentation, governance, and operational practices across pricing workflows. The engineer will assess technologies, create self-serve tools for Product and Analytics, and develop simulation capabilities for evaluating pricing scenarios before production rollout. The role is based in New York, NY. Telecommuting is permitted up to three days per week; when working onsite, the employee reports to StubHub’s office at 3 World Trade Center, 175 Greenwich Street, 59th Floor, New York, NY 10007.

Requirements

Bachelor’s degree or U.S. equivalent in Computer Science, Computer Engineering, or a related field, plus 5 years of professional experience as a Software Engineer, Software Developer, or in another role involving the design and maintenance of software platforms and pricing systems; alternatively, a Master’s degree or U.S. equivalent in one of these fields plus 3 years of such experience.
3 years of professional experience designing and developing large-scale, low-latency pricing or revenue-optimization systems that compute real-time ticket prices in high-volume transactional environments.
3 years of professional experience implementing observability and reliability frameworks for pricing services, including tracing and real-time anomaly detection.
3 years of professional experience architecting and maintaining pricing experimentation platforms, including executing A/B tests at scale, developing user cohort logic, and automating experiment evaluation.
3 years of professional experience developing API contracts or event-driven systems that integrate pricing decisions with checkout and catalog platforms.
3 years of professional experience collaborating with Product, Data Science, and Analytics stakeholders to translate pricing strategy into measurable technical outcomes that improve marketplace liquidity.

Responsibilities

Architect scalable, low-latency pricing systems for real-time decision-making and experimentation.
Collaborate with Data Science to deploy, operate, and maintain production pricing models and experimentation frameworks.
Establish and maintain service level objectives for pricing-service reliability, performance, and operational excellence.
Implement data instrumentation processes that provide accuracy, traceability, and visibility across pricing workflows.
Assess and integrate technologies that improve experimentation capabilities, operational efficiency, and system performance.
Contribute to buyer-facing pricing governance, including documented decision policies, approval thresholds, and change-management controls for pricing logic and experiments.
Develop self-serve tooling, including guarded configuration, experiment templates, observability dashboards, and runbooks, so Product and Analytics can run initiatives with less engineering support.
Design and implement buyer-pricing what-if simulations to evaluate counterfactual scenarios and quantify financial and behavioral impacts before production rollout.