Product Manager Intern - Platform

Mirakl; Paris; Sur place; EUR 13 000 - 16 000; Plein temps

Avantages offerts par ce poste

Stipend €1,200–€1,400 per month

Résumé du poste

Mirakl is seeking a Product Manager Intern to join the Catalog Management pillar. You will work at the intersection of product, data and AI, designing AI-powered workflows and agentives to improve PM day-to-day tasks, with strong visibility within the organization.

The 6-month internship begins January/February 2027 in Paris, offering a monthly stipend and hands-on exposure to cross-functional teams including Product, Data Science, Customer Success, and Sales.

Qualifications

• Strong analytical mindset with rigorous problem definition and structured thinking.
• Solid foundation in statistics including hypothesis testing and confidence intervals.
• Familiarity with automated workflows and data visualization best practices.

Responsabilités

• Support the Senior Product Manager from discovery through delivery and go-to-market.
• Design and ship AI-automated workflows for PM tasks and KPI tracking.
• Contribute to design of AI agents embedded in the product and explore agentic commerce.

Connaissances

Analytical mindset

Python

Data analysis

Statistics

Formation

Currently pursuing a gap year internship

Outils

n8n

Claude Cowork

Zapier

Make

Metabase

Description du poste

About Mirakl:

Founded in 2012, Mirakl has been at the forefront of marketplace innovation, empowering every business to compete in the platform economy. Today, Mirakl’s operating system combines an enterprise marketplace solution (Mirakl Platform) that enables retailers and B2B organizations to launch, scale, and operate marketplaces and dropship, AI-powered multichannel selling (Mirakl Connect), retail media (Mirakl Ads) and an agentic commerce infrastructure (Mirakl Nexus). With dual headquarters in Boston and Paris, Mirakl helps a global ecosystem of 450+ marketplaces (B2C and B2B) and a network of over 100k third-party marketplace sellers. Brands like Macy’s, Decathlon, Carrefour, Asos, and Airbus Helicopters use Mirakl to grow their businesses in new and remarkable ways.

For more information: www.mirakl.com

Mirakl in Numbers:

• Founded in 2012 | Member of French Tech Next40
• 750+ employees in 9 offices worldwide: Paris, Barcelona, Bordeaux, Boston, London, Munich, New York, Sydney, Tokyo
• 350+ Mirakl Tech teams members mainly based in France
• 5 Saas Solutions

Our Values:

Working at Mirakl means accelerating your career alongside ambitious, passionate, and supportive colleagues. We're proud of the diversity of backgrounds, perspectives, and experiences that make our teams unique.

Our 5 values guide how we collaborate:

• Work Hard Together: Teamwork and collaboration are the foundation of our success
• Get Things Done: We prioritize action and efficiency for impactful results
• Go Above & Beyond: We tackle challenges proactively and always aim for excellence
• Succeed Through Expertise: Knowledge sharing and continuous learning are core to our culture
• Satisfy & Empower Clients: We're committed to our clients' success

The Team You'll Join

You’ll join the Product team within Mirakl Platform, working on the Catalog Management pillar. You’ll work at the intersection of product, data, and AI: using AI to make our team faster, and helping design the AI agents our customers will use inside Mirakl.

This is a 6-month internship starting in January/February 2027. You’ll participate in team rituals, gain autonomy quickly, and have the opportunity to present your work regularly to management, offering strong visibility within the organization.

Your Impact

As a Product Manager Intern, you’ll play a crucial role in driving data-driven decision-making across the product organization:

• Support the Senior Product Manager: Accompany product development end-to-end from discovery and ideation through delivery and go-to-market.
• Design and ship AI-automated workflows for PM day-to-day tasks. Examples: automating feedback triage and synthesis, release notes and changelogs, backlog grooming, meeting-to-ticket pipelines, KPI digests, and competitive monitoring. You’ll own these workflows from identifying the pain point to measuring the hours saved.
• Contribute to the design of AI agents embedded in the Mirakl product. Work with the Senior Product Manager, Data Science, and Engineering to define customer-facing agent use cases for operators and sellers
• Explore agentic commerce. Analyze how AI shopping and buying agents change discovery, catalog quality, pricing, and checkout on marketplaces. Map emerging standards and protocols, run small proofs of concept, and help shape product hypotheses and roadmap input
• Drive data analysis initiatives: Define problems, prepare and preprocess data, conduct statistical analyses, and validate results to support product decisions
• Quantify the impact of product releases: Measure and analyze the impact of new features and algorithmic changes through before/after analysis, sizing, hypothesis testing, and segmentation
• Build and maintain performance dashboards: Create and maintain dashboards for your pillar and squads to track functional adoption and key performance indicators, including shared dashboards with Customer Success and Sales teams.

What You'll Bring to the Role

Profile & Experience

• Currently pursuing a gap year internship, end-of-studies internship
• Strong analytical mindset with rigorous problem definition, logical reasoning, and structured thinking
• Solid foundation in statistics including hypothesis testing, confidence intervals, and methodological choices for before/after impact analysis and group comparisons

Technical Skills

• Hands-on experience building automated workflows with tools such as n8n, Claude Cowork, or equivalents (Zapier, Make)
• Python experience is a plus
• Familiarity with a BI tool (Metabase or equivalent) and data visualization best practices is a plus
• Basic knowledge in exploratory data analysis and preprocessing (data cleaning, normalization, outlier management) is a plus

Soft Skills

• Curious, motivated, and proactive: You take initiative and seek out learning opportunities
• Strong team collaboration skills: Clear communication skills are essential to work effectively with cross-functional teams including Product, Data Science, Customer Success, and Sales stakeholders
• Fast learner with adaptability: You have a strong desire to learn and can quickly adapt to new challenges in a dynamic environment

Languages

• Very good level of English required (written and spoken)

Compensation

Monthly stipend range: €1,200 - €1,400

Our Hiring Process

1. Manual screening of your CV by a recruiter and then an AI-powered screening conversation (10 min) with Emma, Mirakl’s AI Talent Ambassador to explore your background and motivation for the role. You will need to complete this step within 3 days, otherwise we won't be able to move forward with your application
2. TA interview (30-45 minutes) to discuss your experience and answer your questions about Mirakl
3. Hiring Manager interview (45 minutes) with one of the Product Managers to dive deeper into the role and assess technical fit
4. STAR interview (45 minutes) to evaluate alignment with our values and team culture
5. Offer

We welcome collaborators with their diverse perspectives and experiences to power us forward. These often far exceed conventional job requirements and help us create a culture of continuous learning. If you’re ready to join a global leader powering digital transformation for 450+ of the world’s most innovative retailers and B2B organizations.

As part of our recruitment process, Mirakl processes your personal data to review and manage your application and, where appropriate, to consider your profile for future opportunities. You can exercise your data protection rights at any time, and as further detailed in our policies. For more information about how we process your personal data and your rights, please consult our Recruitment Privacy Notice, here in English and here in French.

We may use Artificial Intelligence (AI) solutions to help streamline our hiring process, including screening applications, analyzing resumes, and assessing responses. While AI helps us work efficiently, all final hiring decisions are made by humans. For more information, visit our AI Guidelines for Candidates and Interviews.