Product Manager CGEMJP00300105
| Posting date: | 27 May 2025 |
|---|---|
| Hours: | Full time |
| Closing date: | 03 June 2025 |
| Location: | London, London, se19gl |
| Company: | Experis |
| Job type: | Contract |
| Job reference: | BBBH410336_1748356391 |
Summary
Role Title: Product Manager
Duration: 3 month initial contract with high likelihood of extention
Location: London. Hybrid, two days onsite
Rate: up to £510.60 p/d Umbrella inside IR35
Role purpose / summary
Our client is 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 Skills/ requirements
- 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.
All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!