VP DATA

Job Description

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.

Mirakl in Numbers:

• Founded in 2012 | Member of French Tech Next
  40
• 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

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.

• Scale and manage Data teams across platform, analytics, and AI foundations
• Define and execute the Data, AI, and Agentic Foundations strategy
• Own a budget (infra, tooling, scaling)
• Drive alignment across AI, Product, Engineering, and Business
• Ensure execution, prioritization, and delivery at scale

• 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)

• 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

• 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

• 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

• 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…