VP DATA

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

Ownership of €3M+ annual budget

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.