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We are looking for an experienced Data Science Manager to work on incredibly interesting projects as we take our personalization capabilities to the next level. You will focus on leading the team that are developing and advancing ML/AI across our platforms, researching and investigating new machine learning applications within the company, and improving pre-existing models.

Role & Core Responsibilities
Lead, mentor, motivate and inspire a small team of Machine Learning Engineers & Data Scientists.
Own the model development and release process across all products and internal platforms, including both OptiX and .
Manage the cloud-hosted modelling environment.
Operationalize models as APIs working in real-time and batch environments.
Monitor production models, ensuring data quality and model performance.
Develop predictive machine learning models for classification, ranking, and personalization purposes, utilizing multi-modal data including images and text.
Leverage LLMs and other cutting-edge technologies to enhance product capabilities.
Collaborate closely with product and development teams to define and prepare new ML applications.
Analyse performance and continuously improve scoring processes for hosted models.

We are looking for a highly technical Senior Product Manager to join our rapidly growing Product team and lead a strategic initiative at the core of evolution.

In this mission-critical role, you will own the product vision, strategy, and roadmap for a new real-time data and infrastructure layer that underpins the entire platform. Youll work within an incubator-style innovation team, partnering closely with engineering, architecture, data, and GTM teams to build scalable, reliable, low-latency systems that enable advanced customer data processing and activation.

What Youll Do
Lead end-to-end product strategy and execution for next-generation real-time data infrastructure.
Own problem discovery, requirements definition, and roadmap development for complex backend and data engineering capabilities.
Work closely with engineering and architecture teams to design high-scale, distributed, event-driven systems.
Translate customer, market, and internal needs into clear technical requirements and KPIs.
Drive cross-functional alignment and ensure delivery of high-quality, high-performance infrastructure components.
Champion technical excellence, data quality, and system performance throughout the product development lifecycle.
Continuously analyze industry trends, emerging technologies, and competitive solutions in the CDP, data infrastructure, and real-time analytics domains.