Product Manager Intern - Platform

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.

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.
  
  

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)

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

We warmly encourage you to apply to this role, even if you think you're not an exact match.

Please click the "Apply" button to submit your application. This helps us make the best possible assessment and get back to you as quickly as possible.

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

Find