Technical Product Manager

Join our team as a Technical Product Manager for the KORE Intelligence platform. You will be responsible for evolving our data pipeline, managing backend-heavy capabilities, and collaborating with various teams to build secure and scalable systems. You will also shape the roadmap for core data capabilities and work with external partners to understand API specifications and integration constraints. This role is ideal for someone with 3-5 years of product management experience, a focus on data platforms, and a strong understanding of data lifecycle management.

• Prendre en charge les capacités axées sur l'arrière-plan pour sourcer et enrichir les bonnes données afin d'aider nos clients à comprendre la valeur et l'impact de leurs partenariats.
• Collaborer étroitement avec les ingénieurs, les scientifiques des données, les analystes et les responsables commerciaux pour développer des solutions évolutives, en résolvant des problèmes concrets.
• Gérer le cycle de vie du produit pour 1 à 2 équipes de produits travaillant sur la plateforme Partnership Intelligence, en mettant l'accent sur l'approvisionnement, l'évolutivité, la qualité des données et la valorisation en aval.
• 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
• 3–5 years in product management, with a focus on data platform, products, or internal tools; engineering (especially data engineering) background a bonus
• 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
• Double Bonus: experience working in the sports and entertainment industry
• Strong understanding of data lifecycle management: ingestion, transformation, modelling, governance, and analytics enablement
• Bonus: experience with social, digital, streaming and broadcast media, computer vision, content contextualization
• Comfortable in agile, cross-functional environments; proactive communicator and problem solver
• 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