Technical Product Manager
About The Position
We are Two Circles, a Sports & Entertainment Marketing business focused on growing audiences and revenues by understanding fans. We partner with clients to help them understand and influence fan behavior across spending, event attendance, channel response, and content consumption. Our platforms and services are trusted by over 900 clients globally, including major sports and entertainment entities. We are a global company of nearly 1000 employees across 14 offices. This role involves working on the KORE Intelligence platform within the Partnership Measurement team. The focus is on evolving our data pipeline, including our SportGraphTM, ingestion, enrichment, analysis, and visualization. You will own backend-heavy capabilities to source and enrich data, enabling clients to understand and optimize the value and impact of their partnerships. This includes managing data ingestion frameworks, segmentation infrastructure, and internal tooling for scaled commercial outcomes. You will collaborate with external vendors, internal engineering and data teams, and cross-functional stakeholders to build secure, scalable, and performant systems for partnership measurement, reporting, and optimization. This position is ideal for a technical product manager skilled in backend data challenges, comfortable at the intersection of engineering and platform architecture, and understanding data's role in enabling downstream value. You will work with data engineers, scientists, analysts, and commercial leads to develop scalable solutions for real-world problems in the sports and entertainment industry.
Requirements
- 3–5 years in product management, with a focus on data platform, products, or internal tools; engineering (especially data engineering) background a bonus
- Strong understanding of data lifecycle management: ingestion, transformation, modelling, governance, and analytics enablement
- Experience working with modern data infrastructure and tooling (e.g. Airflow, Azure Data Factory, Databricks, Snowflake, DBT, Redshift)
- Able to navigate technical discussions with engineers and translate them into clear requirements for delivery
- Comfortable in agile, cross-functional environments; proactive communicator and problem solver
- Familiar with data quality and monitoring practices, data observability, schema standardization, and documentation workflows
- Familiar with AI and machine learning to enhance data products, including defining use cases for predictive analytics, generative AI, and automation
Nice To Haves
- Experience with social, digital, streaming and broadcast media, computer vision, content contextualization
- Experience working in the sports and entertainment industry
Responsibilities
- Own the product lifecycle for 1-2 product squads working on the Partnership Intelligence platform, focusing on sourcing, scalability, data quality, and downstream value enablement (e.g. segmentation, reporting)
- Work with internal and external stakeholders to identify key use cases, pain points, and automation opportunities across data workflows
- Shape the roadmap for core data capabilities, balancing data availability, data quality, and engineering complexity to drive commercial value
- Evolve SportGraph, our proprietary digital twin of the Sport & Entertainment ecosystem – focused on maintaining quality while expanding its reach with new and enriched data
- Expand our Omni-channel footprint to every touchpoint relevant to measuring and optimizing the impact of a partnership
- Improve our estimation, valuation and contextualization models
- Utilize AI in ways that help us move faster, smarter and more efficiently, while unlocking new value for our business and our clients
- Work with external partners (e.g. X, Meta, YouTube) to understand API specifications, access protocols, and integration constraints
- Write clear functional requirements, user stories, and technical acceptance criteria; contribute to backlog prioritization and sprint planning
- Lead and contribute to sprint ceremonies (e.g. refinement sessions, stand ups)
- Ensure data governance, compliance (e.g. GDPR/CCPA), and observability are baked into all products
- Ensure data quality & accuracy via development of monitoring systems
- Contribute to documentation, onboarding guides, and support workflows
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
