MLOps Product Manager

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 can you make a difference. Where no two days are the same.

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.

• 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.

• Join a multicultural and inclusive team environment.
• Enjoy a supportive atmosphere promoting work-life balance.
• Engage in exciting national and international projects.
• Hybrid work.
• Your career growth is central to our mission. Our array of career growth programs and diverse professionals are crafted to support you in exploring a world of opportunities.
• Training and certifications programs.
• Health and life insurance.
• Referral program with bonuses for talent recommendations.
• Great office locations.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
 

Apply now