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
We’re not building a data platform. We’re building the foundation of an agent-led company.
Mission
Lead and scale Mirakl’s Data organization to build the Data, AI, and Agentic Foundations leading Mirakl next phase of growth.
Mirakl is evolving into a hybrid agentic company—internally through an agent-led organization, and externally through proprietary AI models and agentic-native products.
Operating at thousands of TBs of data and trillions of tokens annually, this role ensures secure, high-quality data, production-grade AI development, and scalable model serving—enabling teams to build and operate AI systems and agents at scale.
What You’ll Do
1. Lead the Data Organization
- Scale and manage Data teams across platform, analytics, and AI foundations
- Define and execute the Data, AI, and Agentic Foundations strategy
- Own a €3M+ budget (infra, tooling, scaling)
- Drive alignment across AI, Product, Engineering, and Business
- Ensure execution, prioritization, and delivery at scale
2. Build Data Foundations
- Deliver a scalable, secure, governed data platform (100s of TBs)
- Structure data raw → silver → gold for analytics and AI
- Ensure data quality, reliability, observability, and security
- Align data models with core business domains (revenue, ops, product)
3. Enable AI Development & Serving
- Build a best-in-class AI development platform
- Provide Data Scientists, Agent Builders, and AI Engineers with tooling for:
- Model development, testing, deployment
- Experimentation at scale
- Operate robust model serving / inference (trillions of tokens/year)
- Ensure performance, monitoring, and cost control
4. Build Agentic Foundations
- Enable teams to develop, run, and evaluate agents at scale
- Provide tooling for:
- Development (frameworks, integrations)
- Execution (orchestration, tools, memory) and Monitoring
- Evaluation (metrics, testing, feedback loops)
- Standardize agent lifecycle, safety, and reliability
5. Power Analytics & Agentic Products
- Deliver analytics for internal and product use cases
- Build and scale analytics agents (internal & in-product)
- Build data, semantic, and context layers that are consistent, reusable, and agent-ready
Who You Are
Background
- 10–15 years in data, AI, or platform organizations, leading high-performing cross-functional teams (platform, analytics, AI)
- Proven track record building data platforms and analytics systems that drive business decisions and power product experiences
- Experience delivering data and analytics products (semantic layers, metrics, business-facing models)
- Strong understanding of data + AI ecosystems (analytics, LLMs, agents) and their business impact
- Experience operating production systems in cloud environments, in close collaboration with MLOps and AI/agent teams
What Makes You Successful
- Build production-grade platforms and organizations that scale
- Connect data, AI development, and serving into one system
- Balance performance, cost, security, and business impact
- Drive execution with high reliability and quality standards
- Operate with a platform mindset and product intuition
- AI-native, hands-on with emerging paradigms like agentic coding
- Drive transformation, upskilling teams and embedding new practices
Success Metrics
- Business impact (product value, productivity, efficiency)
- Data quality, reliability, and security
- Model serving performance (latency, cost, scalability)
- Platform adoption & speed (AI & agent adoption, time to build, deploy, and evaluate models and agents, budget efficiency)
Organization & Scope
- ~25+ people in Data (part of 75+ Data & AI org) with squad setup
- Data & Agentic Platform (~17): Data Eng, SRE, MLOps, Agentic Platform
- Data Product & Analytics (~8): Analytics Eng, Data Product
- Data & Agentic Platform
- End-to-end ownership: data → analytics → AI & agents platform
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.
