Senior Product Manager (MLOps Platform )

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At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

Job Description

Product Manager – MLOps Platform (AdTech Focus)

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.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

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Post Date

2025-05-28

Job Type

Employment type

Full-time