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

About the job:

As a Senior Product Manager on the Product team, you'll own the strategic vision for Mirakl Connect, our central hub for sellers and brands, with a focus on Catalog Transformer, our Gen-AI solution that helps onboard our customers’ product catalogs faster, across multiple marketplaces.

You will lead the Product Data Lifecycle squad, focused on onboarding products catalog at unmatched speed with a best-in-class user experience.

You'll work closely with your squad's Engineering Manager, 5 backend or full-stack Java developers, 1 functional tester, the Data Science team and various business stakeholders across Mirakl.

What you'll do day to day:

• Define the 'speed-to-catalog' strategy: Translate market trends and customer pain points into a roadmap that drastically reduces the time-to-onboard for sellers.
• Turn that vision into delivery: write epics and user stories, organize sprints, track the roadmap and delivery, using FigJam, Productboard, and Jira
• Lead the squad to ship value iteratively. Focus on rapid prototyping, testing AI accuracy with real users, and minimizing time-to-value.
• Lead discovery through customer interviews and collaboration with internal teams (sales, support, marketing, etc.) to capture and understand needs and gather feedback on AI performance
• Partner early with the Engineering, Design, and Data Science to shape the functional roadmap—both on existing features and innovative ones—and create ideal development conditions
• Orchestrate cross-functional AI development: Collaborate with Data Science to turn raw Gen-AI capabilities into reliable, user-trusting product This includes, but is not limited to: testing new algorithms, coordinating proof-of-concepts with key customers, and deep diving into customer feedback.
• Drive innovation in catalog onboarding through AI integration, balancing customer needs with technical feasibility across engineering and data science teams
• Own go-to-market and sales enablement:.work with Sales, Support and Product Marketing to define key messages and ensure clear understanding of the Gen-AI technology. Turn complex tech into a simple commercial advantage.
• Drive strategic deals: Partner directly with the Solutions and Sales teams on strategic accounts to identify where our roadmap can important customer opportunities
• Run competitive and market intelligence: analyze competitors to understand strengths/weaknesses and position Catalog Transformer effectively in the Gen-AI landscape
• Measure Business Impact: Track and optimize for catalog quality score, onboarding Velocity, and seller Activation Rate, and propose iterative improvements based on insights

You’ll love this job if:

• You have at least 5 years of Product Manager experience, ideally including 3+ years in SaaS software, particularly in e-commerce/marketplaces or AI-powered products
• You have experience or strong interest in AI product development, including working with data scientists to validate algorithms, test model outputs, and translate technical capabilities into market-ready features
• You're interested in or familiar with catalog management, product data quality, and the challenges sellers face when onboarding to multiple marketplaces
• You've proven strong communication and cross-functional coordination skills, particularly in managing collaboration between engineering, data science, sales, and customer success teams
• You're customer-facing and enjoy it: you're comfortable conducting customer interviews and providing action-oriented recommendations
• You have experience enabling sales teams, particularly on technical or AI products
• You're comfortable with agile methodologies (SCRUM, Kanban, etc.)
• You're curious about using Gen-AI to transform e-commerce workflows and innovate in the marketplace ecosystem
• You're fluent in French and English (international customer environment)

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.