
Senior Product Manager Retail Media
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
Your Impact
- Define the short and long-term product roadmap for Mirakl Ads in collaboration with the Product Director and VP of Product, driving strategic decisions on build/buy/partner opportunities
- Design innovative features and evolve existing capabilities that directly improve customer performance, backed by market analysis and continuous customer feedback
- Own and prioritize the functional backlog, ensuring the development team delivers incremental value focused on the highest-priority initiatives
- Collaborate with Data Science and Product Design teams to integrate intelligent features powered by AI and machine learning
- Partner closely with cross-functional teams: other PMs, Product Marketing, Sales, Alliances, and Customer Success, to ensure product vision translates into market success
What You'll Bring to the Role
- 5-7 years of product management experience, ideally within a SaaS software company or marketplace environment
- Deep expertise in at least one of these domains: catalog feed management, data science and ML, customer integrations, data & measurement, insights, or yield management
- Demonstrated ability to make data-driven decisions, supporting your recommendations with concrete facts and analysis rather than assumptions
- Strong track record working within agile development methodologies (SCRUM, Kanban, or similar frameworks)
- Strategic product vision and roadmap planning
- Stakeholder management and communication
- Data-driven decision making
- Agile product development
- Cross-functional collaboration
Tech Stack
Languages
- French: Native level
- English: Fluent level
Our Hiring Process
- 40-minute call with our Talent Acquisition team
- 45-minute interview with Clément Cosso, Product Director
- Two 45-minute STAR interviews with team members
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.
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