
Role Title: Product Manager - MLOps Platform (AdTech Focus)
Location: Remote | UK Based
Duration: 31/12/2025
MUST BE THROUGH UMBRELLA
Role Description:
We're looking for a forward-thinking Product Manager to lead the end-to-end development of a greenfield MLOps platform tailored for the fast-paced and data-intensive world of AdTech. This is a unique opportunity to architect a foundational capability that will power advanced machine learning use cases across our advertising ecosystem.
Key Responsibilities:
Define and own the product vision and roadmap for a brand-new MLOps platform, built from the ground up to support scalable, secure, and efficient ML model development, deployment, and monitoring.
Work closely with data science, engineering, analytics, and AdOps teams to understand current workflows and identify opportunities to streamline and automate the ML lifecycle.
Assess existing data, analytics, and infrastructure frameworks to identify reusable components and define the architectural blueprint for the MLOps platform.
Collaborate with backend and platform engineering teams to identify technical gaps, scope backend development efforts, and deliver core platform capabilities such as:
Model training orchestration
CI/CD for ML (e.g., using MLflow, Kubeflow, or Vertex AI Pipelines) Model versioning, monitoring, and governance Enable high-impact AdTech use cases including:
Marketing Mix Modeling (MMM)
Real-time personalization and bidding
Audience segmentation and targeting
Predictive analytics for campaign performance Ensure seamless integration with Order Management Systems (OMS), Customer Data Platforms (CDPs), Data Warehouses (e.g., BigQuery), and custom BI tools to support real-time and batch model consumption.
Translate business needs into detailed product requirements, user stories, and technical specifications, and manage delivery using agile methodologies.
Drive platform adoption by evangelizing best practices in ML operations, model governance, and responsible AI.
Preferred Qualifications:
5+ years of product management experience, with at least 2 years in AdTech, MarTech, or digital media platforms.
Proven experience building ML platforms or infrastructure from scratch, ideally in a cloud-native environment.
Strong understanding of programmatic advertising, attribution modeling, campaign measurement, and media mix optimization.
Familiarity with cloud platforms (especially GCP) and tools like BigQuery, Vertex AI, Dataflow, Airflow, and dbt.
Excellent communication and stakeholder management skills, with the ability to align cross-functional teams around a shared vision.
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