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, visit 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
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 key pillars including Financial Services, Catalog and Order Management.
- Dahyun Fidel, Senior Product Manager (Financial Services)
- Tom Bienvenot, Senior Product Manager (Order Management)
- Fabien Baron, Senior Product Manager (Catalog Management)
This is a 6-month internship starting in June/July 2026. 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
- 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.
- Automate and build internal AI-powered tools: Create tools to facilitate team collaboration and automate recurring tasks, such as specialized support agents for PSP switch projects, product Q&A agents, and benchmarking tools specific to your functional scope
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
- Strong SQL skills for data extraction and analysis
- 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
- Ability to use AI tools critically - explaining, challenging, and correcting AI outputs
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
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.
- Manuel 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
- TA interview (30-45 minutes) to discuss your experience and answer your questions about Mirakl
- Hiring Manager interview (45 minutes) with one of the Product Managers to dive deeper into the role and assess technical fit
- STAR interview (45 minutes) to evaluate alignment with our values and team culture
- 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.
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.
