Measurement Product Manager

Company description

Publicis Groupe is a global leader in communication and is positioned at every step of the value chain, from consulting to execution, combining marketing transformation and digital business transformation. Through a unified and fluid organization, Publicis Groupe partners with its clients across communication, media, data and technology to ensure access to the full breadth of capabilities in every market. Present in over 100 countries, Publicis Groupe employs around 103,000 professionals.

Why Work with Us?

The Performics function strategizes and provides digital activation services for global advertisers in over 57+ markets around the world with the aim to deliver the optimal outcome. Our Performance Centre of Excellence drives performance solutions across several channels including social, search, programmatic, commerce and affiliates. We have 30 different nationalities in our teams and work closely with teams from Google, Meta, Trade Desk and Amazon to deliver innovative solutions that helps deliver business results to our clients.

We are seeking a strategic and driven Product Manager with hands‑on experience in media measurement, marketing experimentation, and foundational data science. In this role, you will lead the vision, strategy, and end‑to‑end development of AI‑powered measurement products—from ideation and prototyping through launch, scaling, and optimization. You will own the product roadmap, setting priorities that balance user needs, platform scalability, and business goals.

Partnering closely with engineering, media, and data science teams, you will transform Publicis measurement practices into robust AI products that drive market‑leading decision‑making at scale across the organization.

A strong emphasis on agile methodologies and agile process implementation is essential for this role. Successful applicants are expected to manage multiple projects, stakeholders and time zones, making it key for them to have strong project management and organization skills. This role requires the ability to both work in startup‑like environments and within a large matrixed organization. The candidate needs to be a quick learner, self‑starter, pro‑active and can work autonomously.

This is an ideal role for someone early in their career who has worked in media measurement roles (platform, agency, or analytics), has technical literacy in Python, and is highly motivated to build innovative products in the AI space.

Key Accountabilities

1. Media Measurement Subject Matter Expertise

• Transform media measurement challenges into product opportunities.
• Prototype and test Python-based measurement models to support early‑stage feature / product exploration.

2. Leadership Collaboration & Communication

• Develop and own the product roadmap, defining near‑term and long‑term achievements that align with measurement strategy and user needs.
• Plan and manage agile sprints, ensuring engineering teams have clear priorities, timelines, and requirements.
• Facilitate agile ceremonies—sprint planning, reviews, retrospectives, and stand‑ups.
• Maintain and refine the product backlog.
• Deliver training, documentation, and demos to support product adoption.

3. Quality & Validation

• Define measurement‑specific QA expectations, including model validation, statistical accuracy, and AI response reasonability.
• Partner with QA teams to ensure releases meet quality standards and maintain consistency across products and datasets.

4. Staying Ahead of the Measurement & AI Curve

• Maintain a solid understanding of measurement methodologies, privacy‑focused changes, platform experimentation capabilities, and standard methodologies across social, search, commerce and emerging channels.
• Research evolving applications of AI, LLMs, agentic systems, and automated analytics, and bring these innovations to life within our products.

Must Have

• 3–5 years of experience in media measurement, ideally in experimentation or analytical roles at platforms (Meta/Google), agencies, or measurement‑focused organizations.
• Working knowledge of split testing, lift experiments and attribution models.
• Ability to…