RightsHelper

Summary We are seeking a senior data scientist to lead our demand modeling and product advancement efforts. As an early RightsHelper hire, you would help oversee and develop key components of our industry-leading RightsHelper platform. The ideal candidate has experience building and maintaining accurate and interpretable models for pricing, forecasting, or marketing applications in a fast-paced, enterprise environment. Our platform provides a unique opportunity for senior data scientists to work closely with leading sports and live event organizations in developing innovative techniques and advancing their decision-making. Job Functions - Develop (and improve upon) robust and extensible production demand modeling, sales forecasting, pricing, and ticket inventory optimization applications that successfully enable demand-based decision-making across sports and live event organizations. - Support junior Data Science team members in efficiently resolving complex issues that extend beyond existing documentation and guidance. - Perform model calibration processes for select partner organizations; this includes externally interacting with partner analytics leaders and successfully delivering on their specific priorities. - Improve internal and external RightsHelper modeling product documentation and internal process guidance. - Maintain and improve upon codebase with version control, collaboration, and general software development best practices. - Provide strategic input on product development, data collection, data architecture, front-end development, and general business strategy. - Help build a collaborative engineering culture focused on ownership and empathy for our customers.

Summary We are seeking a data scientist to be a leading contributor towards our demand modeling and product advancement efforts. As an early RightsHelper hire, you would help oversee and develop key components of our industry-leading RightsHelper platform. The ideal candidate has experience executing and maintaining accurate and interpretable models for pricing, forecasting, or marketing applications in a fast-paced, enterprise environment. Our platform provides a unique opportunity for data scientists to work closely with leading sports and live event organizations in developing innovative techniques and advancing their decision-making. Job Functions - Perform model calibration processes for our partner organizations; this includes externally interacting with partner analytics leaders and internally documenting, standardizing, and improving these processes. - Support partners in successfully delivering on their priorities, platform setup, and overall management of modeled deliverables. - Collaborate with other Data Science team members to push root-level improvements across demand modeling, sales forecasting, pricing, and ticket inventory optimization applications. - Maintain and improve upon codebase with version control, collaboration, and general software development best practices. - Provide input on product development, data collection, data architecture, front-end development, and general business strategy. - Help build a collaborative engineering culture focused on ownership and empathy for our customers.

Summary We are seeking a Partner Success Operations Specialist to support our secondary distribution clients through day-to-day operational execution, including fulfillment monitoring, marketplace reconciliation, and ongoing platform support. You will also participate in the Partner Success team's game day coverage rotation, helping ensure that transactions complete smoothly, fans receive their tickets, and issues are resolved quickly, often in real-time as games are about to start. This is an entry-level role with significant growth potential. You will work alongside the Partner Success team, learning the full scope of our business while handling critical operational responsibilities. We are looking for someone who is detail-oriented, stays calm under pressure, and is excited to build a career in sports technology. Job Functions - Support secondary distribution clients with day-to-day operational tasks, including fulfillment monitoring, marketplace reconciliation, and platform troubleshooting. - Participate in the Partner Success team's game day coverage rotation, monitoring transactions across multiple clients and ensuring ticket transfers complete successfully. - Identify and resolve fulfillment issues as part of the coverage pool, including transfer failures, inventory sync problems, and delivery errors, before they impact fans. - Contribute to evening and weekend coverage during sports seasons on a rotating basis alongside other Partner Success team members. - Support clients using our pricing operations tool, handling routine requests and troubleshooting issues. - Escalate complex issues to senior team members and communicate status updates to clients as needed. - Document common issues and contribute to building out standard operating procedures for fulfillment operations. - Assist with data validation, reporting, and other operational tasks as assigned. - Learn the broader RightsHelper product portfolio and Partner Success function over time.

Summary We are seeking a VP, Partner Data to lead the delivery of data implementation and calibration. Overseeing critical data from our industry leading professional sports organization partners, the Partner Data team closely collaborates with Partner Success, Data Science, and Engineering functions. The ideal candidate has expertise building and managing people, processes, and products that lead to accurate, timely, efficient, and reliable data outputs. This role provides a unique opportunity to work closely with leading sports and live event organizations in developing and implementing innovative techniques and advancing their decision-making. Job Functions - Own delivery of accurate (trustworthy) and timely partner data to downstream modeling and web application deliverables. - Evaluate, develop, and manage products and processes that ensure data delivery is as efficient as possible for our external partners and the internal Partner Data team. - Work directly with our external partners to address issues and opportunities relating to data ingestion, data processing, and data quality. - Review and propose Partner Data workflows in close collaboration with Partner Success, Data Science, and Engineering considerations. - Hire, develop, and supervise the Parter Data team. - Execute on data deliverables when capable and as needed. - Help build a collaborative culture focused on ownership and empathy for our partners.

Summary We are looking for a hands-on Senior Data Engineer with experience building scalable ETL and data platforms in modern cloud environments. In this role, you will help design and implement the next generation of our data pipelines, enabling our platform to process and analyze growing volumes of ticketing, market, and consumer data. Our existing pipelines contain significant domain expertise and business logic that power our analytics platform. You will work to translate and evolve this logic into a scalable, maintainable architecture using modern engineering practices. This is a high-impact role with significant ownership over how data moves through our platform and supports the machine learning systems that drive our products. Job Function - Design and implement the next generation of our core data pipelines - Translate existing pipeline logic into a clean, maintainable architecture - Develop data pipelines in Python using modern best practices - Improve pipeline observability, logging, and failure recovery - Work with AWS services such as S3, Lambda, ECS, RDS, and/or Redshift - Design and implement data validation, monitoring, and alerting - Collaborate closely with leadership to define the future data architecture - Document pipeline design and operational workflows Our Tech Stack - Python - Apache Airflow - AWS (S3, ECS, Lambda, RDS, Redshift) - Docker - PostgreSQL What Success Looks Like - By the end of the engagement, you will have helped us: - Deliver the next generation of our core ETL pipelines with a scalable and maintainable architecture - Implement robust data validation, monitoring and observability across the data platform - Enhance pipeline reliability, performance and operational visibility