Technical Product Manager at Two Circles

Vancouver, British Columbia, Canada -

Full Time

Start Date

Immediate

Expiry Date

05 Jan, 26

Salary

0.0

Posted On

07 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Product Management, Data Platform, Data Engineering, Data Lifecycle Management, Data Quality, Agile Methodologies, Data Governance, API Integration, AI, Machine Learning, Data Ingestion, Data Transformation, Data Analytics, Stakeholder Management, Documentation, Monitoring Systems

Industry

Spectator Sports

Description

We are Two Circles. We are a Sports & Entertainment Marketing business. We grow audiences and revenues. We do that by knowing fans best. We work with clients to help them understand & influence what their fans are doing – the way fans spend their money, the events that fans attend, the channels fans respond to, the content fans watch and more. And we use the understanding this gives us to help our clients grow. Grow their audiences and grow their revenues - both direct to consumer and business to business revenues. Our platforms and services are trusted by over 1000 clients globally, including the English Premier League, Red Bull, UEFA, VISA, the NFL, Nike and Amazon. We are over 1000 people, based out of 15 offices, and we deliver work for sports and entertainment businesses of all shapes and sizes all over the world. We’re looking for a Technical Product Manager to work on the KORE Intelligence platform. You'll be joining the Partnership Measurement team, responsible for evolving our data pipeline – starting with our SportGraphTM through to ingestion, enrichment, analysis and visualization. You’ll take ownership of backend-heavy capabilities to source and enrich the right data to help our clients understand the value & impact of their partnerships and ultimately to optimize those partnerships to drive greater impact. This includes managing data ingestion frameworks, segmentation infrastructure, and the tooling used by internal teams to deliver commercial outcomes at scale. You'll work closely with external vendors, internal engineering and data teams, and cross-functional stakeholders to build secure, scalable, and highly performant systems that support the measurement, reporting & optimization of sports & entertainment partnerships. This role is ideal for a technical product manager who thrives on solving backend data challenges, enjoys working at the intersection of engineering and platform architecture, and understands the role data can play in enabling downstream value. You’ll collaborate closely with data engineers, scientists, analysts, and commercial leads to develop solutions that scale, solving real-world problems for teams, leagues, rights-holders and brands. WHAT YOU’LL BE DOING 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 IN YOUR FIRST YEAR, YOU MAY HAVE… Delivered improvements to our ingestion and enrichment systems that enhanced the accuracy, quality and usefulness of our data Helped roll out a partnership scoring capability that became a core input into client marketing and reporting use cases Led the integration of 3 new data sources that gave our clients a view into partnership performance that was previously a blind spot Vastly increased the number of nodes and connections within SportGraph 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 Bonus: experience with social, digital, streaming and broadcast media, computer vision, content contextualization Double Bonus: 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. Collaborate closely with data engineers, scientists, analysts, and commercial leads to develop solutions that scale and solve real-world problems for teams, leagues, rights-holders, and brands.