The Team You'll Join

You'll be part of our Security team within the GRC (Governance, Risk & Compliance) pillar, led by Maxime Lahaye, Senior Security Officer, based in Paris. Together, you'll be ensuring Mirakl's adherence to security standards and regulations while shaping the future of compliance in an AI-driven world.

AI is fundamentally transforming how we work, and you'll join an established team that's at the forefront of this evolution. This is your opportunity to participate in building the GRC infrastructure of tomorrow—where automation, intelligence, and security converge to enable Mirakl's next phase of growth.

Location: Paris (1 day remote per week)

Your Impact

1 · Compliance & certifications — automated

• Contribute to driving and maintaining Mirakl's ISO 27001, ISO 27018, and SOC 2 certifications, leveraging automated GRC platforms to enable continuous compliance monitoring and reduce manual effort
• Help manage and evolve the ISMS (Information Security Management System), ensuring it reflects both regulatory requirements and Mirakl's evolving AI-driven operations
• Automate evidence collection, control monitoring, and documentation workflows using modern GRC tooling and AI-powered agents

2 · AI Governance — to build with the team

• Working closely with your manager and the Security team, co-design and evolve Mirakl's AI usage governance framework: acceptable use policies, data classification for AI inputs, shadow AI detection, and AI vendor risk assessment
• Maintain a live inventory of AI tools used across the company and contribute to the risk-based process for evaluating and onboarding new tools
• Participate in internal awareness and training initiatives on responsible AI use across all departments
• Monitor the AI governance regulatory landscape and help adapt Mirakl's framework proactively

3 · Security by design across all company projects

• Partner with Product and Engineering teams early in project lifecycles — whether AI-powered or not — to embed security and compliance requirements from the start
• Participate in risk reviews across all types of product and platform initiatives, with specific attention to AI-related threat vectors where applicable (prompt injection, data leakage in LLMs, access control for models)

What You'll Bring to the Role

Experience:

• Master's degree (Bac +5)
• Minimum 3 years of experience in GRC security
• Experience in a consulting firm, technology company, or equivalent role is a plus
• Strong understanding of compliance frameworks and security standards
• Scripting/developing experience

Skills:

• Proactive and autonomous with strong organizational and problem-solving abilities
• Excellent communication and pedagogy skills to influence technical and non-technical stakeholders
• Integrity and ethics as core values
• Ability to work collaboratively in extended teams
• Experience with web application and cloud (SaaS) security, as well as professional certifications (CISM, CISSP, ISO), are a plus.

Tools Used

• Drata
• AWS, GCP
• N8N
• Python
• Office Suite / Google Workspace

Languages

• Fluent in French and conversational English

Our Hiring Process

1. 30-45 minute call with a Talent Acquisition Specialist
2. 1-hour technical interview with the hiring manager
3. Two 45-minute values interviews using the STAR methodology

The STAR method and structured interviews will hold no secrets for you.

About the job

Design, build, and scale internal AI agents that integrate with company systems, automate workflows, and deliver measurable operational impact.

This is a permanent position (CDI) based in Paris or Bordeaux, with 4 days on-site per week.

Why Now, Why Mirakl

The rise of agentic AI has fundamentally changed what's possible in our team automation. For the first time, AI agents can handle complex, multi-step workflows with minimal human intervention.

Mirakl is uniquely positioned to lead this shift. As an Operating system for intelligent commerce, technology is in our DNA. We've already deployed some AI agents using Dust, n8n, Claude Code and Langchain, and the early results are compelling. Now we need someone to take this from experimentation to internal agent industrialization — designing the system that will power the company of tomorrow.

You won't be joining a company that's thinking about AI. You'll be joining one that's already building it — and you'll be at the center of what comes next.

Who are we looking for?

• Backend Engineer with AI exposure – solid on APIs, reliability, and scalable integrations, with growing experience in LLMs
• Data / Analytics Engineer – strong on data structuring and business use cases, relevant for analytics-driven agents
• ML / Applied AI Engineer – good understanding of LLMs, RAG, and evaluation, with potential to grow on productization

What You’ll Do

1. Design & Build AI Agents

• Create workflow-driven AI agents (e.g., BDR, Contract, Accounting agents)
• Architect multi-step agent systems including prompts, tools, memory, and guardrails
• Rapidly prototype solutions and evolve them into production-grade products

2. Integrate Across the Stack

• Connect agents to internal systems (CRM, data platforms, Drive, Jira, etc.)
• Enable agents to perform real actions (e.g., update CRM, generate reports, create tickets)
• Ensure reliable orchestration between APIs, tools, and data sources

3. Iterate for Impact

• Run pilots with end users and gather qualitative and quantitative feedback
• Analyze usage, errors, and performance metrics
• Continuously improve accuracy, reliability, and user experience

4. Ensure Security & Quality

• Implement robust guardrails, validation layers, and access controls
• Ensure compliance with data security and governance standards
• Clearly document each agent (scope, capabilities, limitations, KPIs, roadmap)

5. Drive Adoption & Enablement

• Build a clean, scalable agent ecosystem for internal users
• Support and educate teams on adopting agents in their workflows
• Contribute to internal best practices and agent-building standards
• Act as a champion for AI-driven ways of working

Collaborative: you work hand-in-hand with our process owners, the Solution architect and the Data team.     

Our stack and tools:

• GenAI APIs: OpenAI, Anthropic, Mistral, Gemini
• Agent & Automation Tools: n8n, Dust, Claude
• Cloud: AWS or GCP

What Makes You Successful

• Strong product mindset: able to identify friction and design practical solutions
• Ability to turn ambiguous problems into structured, automated workflows
• Focus on measurable impact, not just technical output

Success Metrics

• Adoption: number of agents actively used and delivering value
• Automation rate: % of tasks completed without human intervention
• Performance: accuracy, reliability, and user satisfaction
• Business impact: time saved, quality improvements, operational efficiency

You'll Love This Job If you have 

• 3 to 5 years of experience as a Data Scientist, ML Engineer, or Software Engineer, with a background in backend/full-stack development, data, or automation workflows
• Proven experience building AI agents using LLMs, RAG, MCP and related technologies, including architectural design of multi-step agentic workflows
• Proficient in Python and data fundamentals (SQL, JSON, data modeling)
• Production deployment expertise, you've shipped AI solutions in production
• Experience with API integrations, MCP, webhooks, and connectors
• Experience with low-code/no-code automation platforms (n8n, Make, Zapier or equivalent)
• Curiosity and continuous learning, you stay current with AI/ML trends and love exploring new technologies
• Strong communication skills in both English and French

Feel free to add a link to your GitHub in your CV so we can understand what you have worked on!

Want to join us? Here is our process 

• A 40-minute phone conversation with one of our Tech recruiters. This will be an opportunity to discuss your background, expectations, and discover what Mirakl can offer you in return.
• An initial 1 hour technical discussion with a member of the Data Science team and Engineering Team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects.
• 2 x 45-minute "STAR" interviews with future Mirakl colleagues to discuss our values and company culture.

The Team You'll Join

Your Impact

• Build and deploy ML algorithms to production that power 500+ e-commerce and marketplace sites across 40 countries, directly impacting revenue growth, operational efficiency, and transaction safety
• Tackle real-world catalog challenges including automatic content rewriting, product attribute extraction from images and text, variant detection, product categorization, seller onboarding automation, and trending product prediction
• Work with cutting-edge AI techniques including multimodal models and LLM fine-tuning—Mirakl is one of the few French players with fine-tuned LLMs in large-scale production
• Own your projects end-to-end: from data analysis and prototyping to production deployment with Data Engineers and dev teams, plus building dashboards to monitor algorithm performance
• Collaborate across teams to refine use cases, user experience, and integration paths while presenting results at weekly data science meetings

What You'll Bring to the Role

• 4+ years of experience as a Data Scientist with strong hands-on NLP and applied ML in industry
• Proven track record of deploying Machine Learning algorithms to production
• Experience with Spark development for large-scale data processing

• Expertise in NLP and Computer Vision algorithms and state-of-the-art architectures (e.g., Transformers)
• Proficiency in Python and TensorFlow and/or PyTorch
• Knowledge of the latest LLMs and fine-tuning techniques
• Data-driven, pragmatic, and business-oriented approach
• Strong ownership and autonomy with excellent team collaboration

Tech Stack

• Python, TensorFlow, PyTorch, Hugging Face

• Autotrain, Unsloth, Galileo, LangChain, Anyscale

• Databricks, Spark, AWS (Amazon Redshift, S3), SQL, Airflow, Delta Lake

Our Hiring Process

1. A 30/45-minute phone call with one of our Tech recruiters to discuss your background, expectations, and the role
2. A 30-minute technical call with someone from the Data Science team to dive into concrete aspects of your expertise and how it fits our projects
3. A take-home assignment to demonstrate your technical skills
4. A 75-minute technical debrief and discussion with the Data Science Team managers
5. 2x45mn STAR interviews with future Mirakl colleagues to discuss our values and culture

The Team You'll Join

Your Impact

• Build and deploy ML algorithms to production that power 500+ e-commerce and marketplace sites across 40 countries, directly impacting revenue growth, operational efficiency, and transaction safety
• Tackle real-world catalog challenges including automatic content rewriting, product attribute extraction from images and text, variant detection, product categorization, seller onboarding automation, and trending product prediction
• Work with cutting-edge AI techniques including multimodal models and LLM fine-tuning—Mirakl is one of the few French players with fine-tuned LLMs in large-scale production
• Own your projects end-to-end: from data analysis and prototyping to production deployment with Data Engineers and dev teams, plus building dashboards to monitor algorithm performance
• Collaborate across teams to refine use cases, user experience, and integration paths while presenting results at weekly data science meetings

What You'll Bring to the Role

• 4+ years of experience as a Data Scientist with strong hands-on NLP and applied ML in industry
• Proven track record of deploying Machine Learning algorithms to production
• Experience with Spark development for large-scale data processing

• Expertise in NLP and Computer Vision algorithms and state-of-the-art architectures (e.g., Transformers)
• Proficiency in Python and TensorFlow and/or PyTorch
• Knowledge of the latest LLMs and fine-tuning techniques
• Data-driven, pragmatic, and business-oriented approach
• Strong ownership and autonomy with excellent team collaboration

Tech Stack

• Python, TensorFlow, PyTorch, Hugging Face

• Autotrain, Unsloth, Galileo, LangChain, Anyscale

• Databricks, Spark, AWS (Amazon Redshift, S3), SQL, Airflow, Delta Lake

Our Hiring Process

1. A 30/45-minute phone call with one of our Tech recruiters to discuss your background, expectations, and the role
2. A 30-minute technical call with someone from the Data Science team to dive into concrete aspects of your expertise and how it fits our projects
3. A take-home assignment to demonstrate your technical skills
4. A 75-minute technical debrief and discussion with the Data Science Team managers
5. 2x45mn STAR interviews with future Mirakl colleagues to discuss our values and culture

The Team You'll Join

Your Impact

• Own the UX/UI for Catalog Management, collaborating with squads across user management, orders, catalog, pricing, after-sales, and accounting to deliver compelling design solutions to complex business problems
• Co-develop product vision and design strategy with the Product Director, Group Product Managers and Head of Design in influencing product decisions and aligning design goals with business priorities
• Build products, not just designs: engage from problem definition through measurement of real impact, challenging assumptions and co-creating solutions at every stage
• Champion AI-native design practices, actively using tools like Cursor, Claude Code, Figma AI, v0, and Uizard to prototype faster, explore more options, and ship better
• Drive measurable business impact by analyzing adoption and usage of delivered solutions, proposing iterative improvements based on user insights and product metrics

What You'll Bring to the Role

• 6+ years of Product Design experience on complex B2B SaaS products
• Proven track record of shipped features or products with measurable business impact
• Demonstrated leadership as a design authority (not necessarily as a manager)
• Experience representing design with Leadership, Sales, Customer Success, and Marketing stakeholders

• End-to-end design process mastery (strategy, discovery, implementation, impact measurement)
• User-centered design methodologies (Design Thinking, Double Diamond)
• AI-native workflow (Claude Code, Cursor, Figma AI, v0)
• Design System governance and contribution
• Facilitation of co-creation workshops with cross-functional teams

• French: Fluent
• English: Fluent

Tech Stack

• Design tools: Figma, Figma AI
• AI-powered tools: Cursor, Claude Code, v0, Uizard
• Collaboration: Design System (design tokens, versioning)
• Methodologies: Design Thinking, Double Diamond, Co-design

Our Hiring Process

1. A 30/45-minute phone call with one of our recruiters to discuss your background, expectations, tell you more about Mirakl
2. A 1h30 job-related interview with the Product Director and the Head of Design to dive deeper into your expertise and explore how your skills could contribute to our projects
3. Two 45-minute interviews giving you the chance to meet your potential future colleagues at Mirakl while discussing key projects of your career 

✨ Portfolio Guidelines

• Consider your portfolio as a UX exercise. Think about your audience (recruiter, hiring manager), the time available (often a few minutes), and the context in which it will be reviewed (between meetings, sometimes on mobile). Make sure navigation is simple and fast, with a clear structure to move from one project to another and jump to the most important sections. Keep in mind that the portfolio often replaces a design exercise during the hiring process.
• Be concise and decision-oriented. For each project, make the content scannable in a few seconds: the problem, your role, constraints, key choices, and the outcome. Avoid long texts and generic process or workshop descriptions that could apply to any project. If you want to show your method, do it in a dedicated section.
• Put visuals at the center. Use high-quality screenshots and highlight the result of your work. Show the expected level of craft, and briefly explain what the reader should focus on.
• Treat the portfolio as a personal branding exercise. It is a personal project that should reflect your personality while staying professional. The interface should feel spacious, leave room for visuals, and reflect current standards (typography, hierarchy, spacing, clarity).
• Select a small number of highly relevant projects. It is better to show 2 to 4 strong case studies tailored to the role than many average projects. Choose the ones where your impact and leadership are the most visible.
• Clarify your contribution and your level of leadership. As a Lead, we want to understand how you framed the problem, aligned stakeholders, made decisions, prioritized, and improved the practice (guidelines, design system, rituals, quality).
• Show impact, not only screens. Add results when possible (conversion, adoption, time saved, quality, reduced support). If you do not have metrics, explain which signals you used (feedback, testing, analytics, learnings) and what you changed as a result.

The Team You'll Join

Your Impact

• Own the UX/UI for Catalog Management, collaborating with squads across user management, orders, catalog, pricing, after-sales, and accounting to deliver compelling design solutions to complex business problems
• Co-develop product vision and design strategy with the Product Director, Group Product Managers and Head of Design in influencing product decisions and aligning design goals with business priorities
• Build products, not just designs: engage from problem definition through measurement of real impact, challenging assumptions and co-creating solutions at every stage
• Champion AI-native design practices, actively using tools like Cursor, Claude Code, Figma AI, v0, and Uizard to prototype faster, explore more options, and ship better
• Drive measurable business impact by analyzing adoption and usage of delivered solutions, proposing iterative improvements based on user insights and product metrics

What You'll Bring to the Role

• 6+ years of Product Design experience on complex B2B SaaS products
• Proven track record of shipped features or products with measurable business impact
• Demonstrated leadership as a design authority (not necessarily as a manager)
• Experience representing design with Leadership, Sales, Customer Success, and Marketing stakeholders

• End-to-end design process mastery (strategy, discovery, implementation, impact measurement)
• User-centered design methodologies (Design Thinking, Double Diamond)
• AI-native workflow (Claude Code, Cursor, Figma AI, v0)
• Design System governance and contribution
• Facilitation of co-creation workshops with cross-functional teams

• French: Fluent
• English: Fluent

Tech Stack

• Design tools: Figma, Figma AI
• AI-powered tools: Cursor, Claude Code, v0, Uizard
• Collaboration: Design System (design tokens, versioning)
• Methodologies: Design Thinking, Double Diamond, Co-design

Our Hiring Process

1. A 30/45-minute phone call with one of our recruiters to discuss your background, expectations, tell you more about Mirakl
2. A 1h30 job-related interview with the Product Director and the Head of Design to dive deeper into your expertise and explore how your skills could contribute to our projects
3. Two 45-minute interviews giving you the chance to meet your potential future colleagues at Mirakl while discussing key projects of your career 

✨ Portfolio Guidelines

• Consider your portfolio as a UX exercise. Think about your audience (recruiter, hiring manager), the time available (often a few minutes), and the context in which it will be reviewed (between meetings, sometimes on mobile). Make sure navigation is simple and fast, with a clear structure to move from one project to another and jump to the most important sections. Keep in mind that the portfolio often replaces a design exercise during the hiring process.
• Be concise and decision-oriented. For each project, make the content scannable in a few seconds: the problem, your role, constraints, key choices, and the outcome. Avoid long texts and generic process or workshop descriptions that could apply to any project. If you want to show your method, do it in a dedicated section.
• Put visuals at the center. Use high-quality screenshots and highlight the result of your work. Show the expected level of craft, and briefly explain what the reader should focus on.
• Treat the portfolio as a personal branding exercise. It is a personal project that should reflect your personality while staying professional. The interface should feel spacious, leave room for visuals, and reflect current standards (typography, hierarchy, spacing, clarity).
• Select a small number of highly relevant projects. It is better to show 2 to 4 strong case studies tailored to the role than many average projects. Choose the ones where your impact and leadership are the most visible.
• Clarify your contribution and your level of leadership. As a Lead, we want to understand how you framed the problem, aligned stakeholders, made decisions, prioritized, and improved the practice (guidelines, design system, rituals, quality).
• Show impact, not only screens. Add results when possible (conversion, adoption, time saved, quality, reduced support). If you do not have metrics, explain which signals you used (feedback, testing, analytics, learnings) and what you changed as a result.

• Lead and mentor the team (4 to 5 developers)
• Conduct one-on-one meetings, mid-year and year-end reviews
• Track careers and training needs
• Maintain the team’s smooth operation, cohesion, and motivation

• Take ownership of certain stories
• Conduct code reviews
• Design, develop, test, and push to production

• Develop roadmaps with the R&D members
• Interact with other leads to coordinate priorities and projects
• Be the point of contact with product and design teams for user story management
• Ensure the commitments made by the team, both in velocity and in quality
• Step in on blockers or for arbitration on projects

• Ensure the upskilling of each member
• Ensure successful onboarding of new developers
• Identify and develop talents
• Contribute to recruitment inside and outside the team
• Establish best practices in clean code, testing, releases, and pair programming

• You have at least 2 years of experience in similar roles mentoring a team and 5 years of Java development in recent versions
• You are a manager known for your listening and communication skills
• You strike the right balance between close management and genuine autonomy given to your teams
• You have strong technical proficiency in our stack (notably Java, Spring, SQL, cloud, microservices)
• You enjoy staying hands-on with code and contributing technically to the team’s projects
• You have professional English proficiency (level C1)

• Lead and mentor the team (4 to 5 developers)
• Conduct one-on-one meetings, mid-year and year-end reviews
• Track careers and training needs
• Maintain the team’s smooth operation, cohesion, and motivation

• Take ownership of certain stories
• Conduct code reviews
• Design, develop, test, and push to production

• Develop roadmaps with the R&D members
• Interact with other leads to coordinate priorities and projects
• Be the point of contact with product and design teams for user story management
• Ensure the commitments made by the team, both in velocity and in quality
• Step in on blockers or for arbitration on projects

• Ensure the upskilling of each member
• Ensure successful onboarding of new developers
• Identify and develop talents
• Contribute to recruitment inside and outside the team
• Establish best practices in clean code, testing, releases, and pair programming

• You have at least 2 years of experience in similar roles mentoring a team and 5 years of Java development in recent versions
• You are a manager known for your listening and communication skills
• You strike the right balance between close management and genuine autonomy given to your teams
• You have strong technical proficiency in our stack (notably Java, Spring, SQL, cloud, microservices)
• You enjoy staying hands-on with code and contributing technically to the team’s projects
• You have professional English proficiency (level C1)

About the job:

The eCommerce landscape is entering a new phase of profound change: Agentic Commerce, where AI-powered agents autonomously search, discover, compare, and ultimately purchase on behalf of users. This evolution is transforming how customers interact with products—how they arrive, engage, how choices are filtered, and how relevance is determined in a rapidly evolving paradigm. From product discovery to marketplace optimization, these changes are reshaping retailers’ ecosystems.

In this context, as a Senior AI Engineer, you will join our Data team (60+ people) to prototype, iterate, and integrate agentic systems into Mirakl products, working closely with Data Scientists, Data Engineers, Product Managers and Software Development teams.

The position is open for a Permanent contract (CDI) or Freelance, based in Paris or Bordeaux (4 days on site).

Our stack and tools:

Python, Tensorflow, Pytorch, Databricks, Spark, AWS, SQL, Airflow, Delta Lake

During a typical week, you will:

• Design, develop, and optimize AI agents using frameworks and tools such as LangChain, LangGraph, and LangFlow
• Leverage large language models (LLMs) and techniques such as Retrieval-Augmented Generation (RAG) 
• Own the full lifecycle from initial design through MVP delivery and successive iterations
• Implement reusable frameworks & tool to accelerate development while ensuring scalability (evaluation, monitoring, testing, deployment)
• Explore emerging AI paradigms, evaluate new tools and technologies, and maintain active technology watch

You'll Love This Job If you have 

• You have a minimum of 5 years of experience as a Data Scientist or Machine Learning Engineer with a strong Software Engineering skills
• Proven experience building AI agents using LLMs, RAG, MCP and related technologies with architectural design experience
• Production deployment expertise - you've shipped AI solutions in production
• Strong proficiency in Python
• Curiosity and continuous learning - you stay current with AI/ML trends and love exploring new technologies
• Strong communication skills in both English and French

Feel free to add a link to your GitHub in your CV so we can understand what you have worked on!

Want to join us? Here is our process 

• A 30-minute phone conversation with one of our Tech recruiters. This will be an opportunity to discuss your background, expectations, and discover what Mirakl can offer you in return.
• An initial 30-minute technical discussion via Zoom with a member of the Data Science team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects.
• A 90-minute technical review and discussion with a manager from the Data Science team
• 2 x 45-minute "STAR" Zoom interviews with future Mirakl colleagues to discuss our values and company culture.

About the job:

The eCommerce landscape is entering a new phase of profound change: Agentic Commerce, where AI-powered agents autonomously search, discover, compare, and ultimately purchase on behalf of users. This evolution is transforming how customers interact with products—how they arrive, engage, how choices are filtered, and how relevance is determined in a rapidly evolving paradigm. From product discovery to marketplace optimization, these changes are reshaping retailers’ ecosystems.

In this context, as a Senior AI Engineer, you will join our Data team (60+ people) to prototype, iterate, and integrate agentic systems into Mirakl products, working closely with Data Scientists, Data Engineers, Product Managers and Software Development teams.

The position is open for a Permanent contract (CDI) or Freelance, based in Paris or Bordeaux 4 days on site.

Our stack and tools:

Python, Tensorflow, Pytorch, Databricks, Spark, AWS, SQL, Airflow, Delta Lake

During a typical week, you will:

• Design, develop, and optimize AI agents using frameworks and tools such as LangChain, LangGraph, and LangFlow
• Leverage large language models (LLMs) and techniques such as Retrieval-Augmented Generation (RAG) 
• Own the full lifecycle from initial design through MVP delivery and successive iterations
• Implement reusable frameworks & tool to accelerate development while ensuring scalability (evaluation, monitoring, testing, deployment)
• Explore emerging AI paradigms, evaluate new tools and technologies, and maintain active technology watch

You'll Love This Job If you have 

• You have a minimum of 5 years of experience as a Data Scientist or Machine Learning Engineer with a strong Software Engineering skills
• Proven experience building AI agents using LLMs, RAG, MCP and related technologies with architectural design experience
• Production deployment expertise - you've shipped AI solutions in production
• Strong proficiency in Python
• Curiosity and continuous learning - you stay current with AI/ML trends and love exploring new technologies
• Strong communication skills in both English and French

Feel free to add a link to your GitHub in your CV so we can understand what you have worked on!

Want to join us? Here is our process 

• A 30-minute phone conversation with one of our Tech recruiters. This will be an opportunity to discuss your background, expectations, and discover what Mirakl can offer you in return.
• An initial 30-minute technical discussion via Zoom with a member of the Data Science team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects.
• A 90-minute technical review and discussion with a manager from the Data Science team
• 2 x 45-minute "STAR" Zoom interviews with future Mirakl colleagues to discuss our values and company culture.

Your role :

As a Software Engineer Java in the Mirakl Labs product teams, your main mission is to design, develop and deploy new business features proposed by the Product Manager. On a daily basis, you will be implementing these new features across all layers of our applications, from interfaces (UI or REST API) through the business layer to the creation of database schemas and scripts. As part of a team with total ownership over the products it develops, you are a key player in ensuring both the business consistency of the product and its technical stability.

The position is a permanent contract, based in Paris, with up to 1 day of remote work per week. 

95% of our tech teams are based in France and 99% speak French.

Day-to-day activities:

• Build, test, and ship to production through continuous delivery
• Harness AI-powered tools like Claude Code, Codex, and Cursor to move faster
• Join design sessions alongside a team of 5 developers, the Product Manager, and UX/UI designers
• Shape technical decisions that drive the product forward
• Sharpen code quality through reviews and pair programming
• Own what you build — monitor and debug production issues end to end
• Take part in Stand-ups, Sprint Reviews, and retrospectives
• Help define the next quarter's labs roadmap
• Drive continuous improvement in how the team develops software
• Track the real-world impact of your features: business cycles, adoption, usage

Our tech stack:
Java 21 (with planned migration to 25), Spring Boot, Kafka, React/Redux, PostgreSQL, Elasticsearch, Go, Docker, Kubernetes, AWS, Google Cloud

You'll love this job if : 

• You have at least 5 years of experience with Java and Spring
• You are genuinely curious (and pragmatic) about AI, and you believe it's already reshaping how developers work
• You are eager to work on web-scale challenges and distributed architectures
• You care deeply about clean, well-crafted code
• You want a real voice in technical decisions, not just a seat at the table
• You thrive in fast-paced, demanding environments where you grow every week
• You're hungry to learn and sharpen your craft
• You're fluent in French and comfortable working in professional English

🎥  Featured Videos

Dive into daily life at Mirakl Labs with Pauline, Java Engineering Manager, who offers a glimpse into team life and our tech culture 📺 here

Meet Nelson, Director of Engineering, who shares his vision on Mirakl's growth, technical challenges, and what makes our work environment unique 📺 here

• 30 minutes with someone from the recruitment team to discuss your key projects, ask some tech questions, and present the position in detail
• 45 minutes on Zoom with an experienced developer to discuss our technical stack and assess your knowledge
• 1 hour with the Manager of the relevant squad for a business discussion
• 2 x 45 minutes or 1 hour STAR interview to assess your alignment with our values

More information about our recruitment philosophy 👉🏻https://www.linkedin.com/pulse/3-tips-pour-briller-en-entretien-star-chez-mirakl-kauffmann-0ojzf/ 

About the job

Design, build, and scale internal AI agents that integrate with company systems, automate workflows, and deliver measurable operational impact.

This is a Freelance position based in Paris or Bordeaux, with 4 days on-site per week.

Why Now, Why Mirakl

The rise of agentic AI has fundamentally changed what's possible in our team automation. For the first time, AI agents can handle complex, multi-step workflows with minimal human intervention.

Mirakl is uniquely positioned to lead this shift. As an Operating system for intelligent commerce, technology is in our DNA. We've already deployed some AI agents using Dust, n8n, Claude Code and Langchain, and the early results are compelling. Now we need someone to take this from experimentation to internal agent industrialization — designing the system that will power the company of tomorrow.

You won't be joining a company that's thinking about AI. You'll be joining one that's already building it — and you'll be at the center of what comes next.

Who are we looking for?

Backend Engineer with AI exposure – solid on APIs, reliability, and scalable integrations, with growing experience in LLMs
Data / Analytics Engineer – strong on data structuring and business use cases, relevant for analytics-driven agents
ML / Applied AI Engineer – good understanding of LLMs, RAG, and evaluation, with potential to grow on productization

What You’ll Do

1. Design & Build AI Agents

• Create workflow-driven AI agents (e.g., BDR, Contract, Accounting agents)
• Architect multi-step agent systems including prompts, tools, memory, and guardrails
• Rapidly prototype solutions and evolve them into production-grade products

2. Integrate Across the Stack

• Connect agents to internal systems (CRM, data platforms, Drive, Jira, etc.)
• Enable agents to perform real actions (e.g., update CRM, generate reports, create tickets)
• Ensure reliable orchestration between APIs, tools, and data sources

3. Iterate for Impact

• Run pilots with end users and gather qualitative and quantitative feedback
• Analyze usage, errors, and performance metrics
• Continuously improve accuracy, reliability, and user experience

4. Ensure Security & Quality

• Implement robust guardrails, validation layers, and access controls
• Ensure compliance with data security and governance standards
• Clearly document each agent (scope, capabilities, limitations, KPIs, roadmap)

5. Drive Adoption & Enablement

• Build a clean, scalable agent ecosystem for internal users
• Support and educate teams on adopting agents in their workflows
• Contribute to internal best practices and agent-building standards
• Act as a champion for AI-driven ways of working

Collaborative: you work hand-in-hand with our process owners, the Solution architect and the Data team.     

Our stack and tools:

• GenAI APIs: OpenAI, Anthropic, Mistral, Gemini
• Agent & Automation Tools: n8n, Dust, Claude
• Cloud: AWS or GCP

What Makes You Successful

• Strong product mindset: able to identify friction and design practical solutions
• Ability to turn ambiguous problems into structured, automated workflows
• Focus on measurable impact, not just technical output

Success Metrics

• Adoption: number of agents actively used and delivering value
• Automation rate: % of tasks completed without human intervention
• Performance: accuracy, reliability, and user satisfaction
• Business impact: time saved, quality improvements, operational efficiency

You'll Love This Job If you have 

• 3 to 5 years of experience as a Data Scientist, ML Engineer, or Software Engineer, with a background in backend/full-stack development, data, or automation workflows
• Proven experience building AI agents using LLMs, RAG, MCP and related technologies, including architectural design of multi-step agentic workflows
• Proficient in Python and data fundamentals (SQL, JSON, data modeling)
• Production deployment expertise, you've shipped AI solutions in production
• Experience with API integrations, MCP, webhooks, and connectors
• Experience with low-code/no-code automation platforms (n8n, Make, Zapier or equivalent)
• Curiosity and continuous learning, you stay current with AI/ML trends and love exploring new technologies
• Strong communication skills in both English and French

Feel free to add a link to your GitHub in your CV so we can understand what you have worked on!

Want to join us? Here is our process 

• A 30-minute phone conversation with one of our Tech recruiters. This will be an opportunity to discuss your background, expectations, and discover what Mirakl can offer you in return.
• An initial 1 hour technical discussion with a member of the Data Science team and Engineering Team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects.
• 2 x 45-minute "STAR" interviews with future Mirakl colleagues to discuss our values and company culture.

About the job:

The eCommerce landscape is entering a new phase of profound change: Agentic Commerce, where AI-powered agents autonomously search, discover, compare, and ultimately purchase on behalf of users. This evolution is transforming how customers interact with products—how they arrive, engage, how choices are filtered, and how relevance is determined in a rapidly evolving paradigm. From product discovery to marketplace optimization, these changes are reshaping retailers’ ecosystems.

In this context, as a Senior AI Engineer, you will join our Data team (60+ people) to prototype, iterate, and integrate agentic systems into Mirakl products, working closely with Data Scientists, Data Engineers, Product Managers and Software Development teams.

The position is open for a Permanent contract (CDI) based in Paris or Bordeaux with :

- 4 days onsite per week 

- 1 day worked remotely per week

Our stack and tools:

Python, Tensorflow, Pytorch, Databricks, Spark, AWS, SQL, Airflow, Delta Lake

During a typical week, you will:

• Design, develop, and optimize AI agents using frameworks and tools such as LangChain, LangGraph, and LangFlow
• Leverage large language models (LLMs) and techniques such as Retrieval-Augmented Generation (RAG) 
• Own the full lifecycle from initial design through MVP delivery and successive iterations
• Implement reusable frameworks & tool to accelerate development while ensuring scalability (evaluation, monitoring, testing, deployment)
• Explore emerging AI paradigms, evaluate new tools and technologies, and maintain active technology watch

You'll Love This Job If you have 

• You have a minimum of 5 years of experience as a Data Scientist or Machine Learning Engineer with a strong Software Engineering skills
• Proven experience building AI agents using LLMs, RAG, MCP and related technologies with architectural design experience
• Production deployment expertise - you've shipped AI solutions in production
• Strong proficiency in Python
• Curiosity and continuous learning - you stay current with AI/ML trends and love exploring new technologies
• Strong communication skills in both English and French

Feel free to add a link to your GitHub in your CV so we can understand what you have worked on!

Want to join us? Here is our process 

• A 30-minute phone conversation with one of our Tech recruiters. This will be an opportunity to discuss your background, expectations, and discover what Mirakl can offer you in return.
• An initial 30-minute technical discussion via Zoom with a member of the Data Science team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects.
• A 90-minute technical review and discussion with a manager from the Data Science team
• 2 x 45-minute "STAR" Zoom interviews with future Mirakl colleagues to discuss our values and company culture.

About the job:

The eCommerce landscape is entering a new phase of profound change: Agentic Commerce, where AI-powered agents autonomously search, discover, compare, and ultimately purchase on behalf of users. This evolution is transforming how customers interact with products—how they arrive, engage, how choices are filtered, and how relevance is determined in a rapidly evolving paradigm. From product discovery to marketplace optimization, these changes are reshaping retailers’ ecosystems.

In this context, as a Senior AI Engineer, you will join our Data team (60+ people) to prototype, iterate, and integrate agentic systems into Mirakl products, working closely with Data Scientists, Data Engineers, Product Managers and Software Development teams.

The position is open for a Permanent contract (CDI), based in Paris or Bordeaux with :

- 4 days onsite per week 

- 1 day worked remotely per week

Our stack and tools:

Python, Tensorflow, Pytorch, Databricks, Spark, AWS, SQL, Airflow, Delta Lake

During a typical week, you will:

• Design, develop, and optimize AI agents using frameworks and tools such as LangChain, LangGraph, and LangFlow
• Leverage large language models (LLMs) and techniques such as Retrieval-Augmented Generation (RAG) 
• Own the full lifecycle from initial design through MVP delivery and successive iterations
• Implement reusable frameworks & tool to accelerate development while ensuring scalability (evaluation, monitoring, testing, deployment)
• Explore emerging AI paradigms, evaluate new tools and technologies, and maintain active technology watch

You'll Love This Job If you have 

• You have a minimum of 5 years of experience as a Data Scientist or Machine Learning Engineer with a strong Software Engineering skills
• Proven experience building AI agents using LLMs, RAG, MCP and related technologies with architectural design experience
• Production deployment expertise - you've shipped AI solutions in production
• Strong proficiency in Python
• Curiosity and continuous learning - you stay current with AI/ML trends and love exploring new technologies
• Strong communication skills in both English and French

Feel free to add a link to your GitHub in your CV so we can understand what you have worked on!

Want to join us? Here is our process 

• A 30-minute phone conversation with one of our Tech recruiters. This will be an opportunity to discuss your background, expectations, and discover what Mirakl can offer you in return.
• An initial 30-minute technical discussion via Zoom with a member of the Data Science team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects.
• A 90-minute technical review and discussion with a manager from the Data Science team
• 2 x 45-minute "STAR" Zoom interviews with future Mirakl colleagues to discuss our values and company culture.

About the job

Design, build, and scale internal AI agents that integrate with company systems, automate workflows, and deliver measurable operational impact.

This is a permanent position (Freelance) based in Paris or Bordeaux, with 4 days on-site per week.

Why Now, Why Mirakl

The rise of agentic AI has fundamentally changed what's possible in our team automation. For the first time, AI agents can handle complex, multi-step workflows with minimal human intervention.

Mirakl is uniquely positioned to lead this shift. As an Operating system for intelligent commerce, technology is in our DNA. We've already deployed some AI agents using Dust, n8n, Claude Code and Langchain, and the early results are compelling. Now we need someone to take this from experimentation to internal agent industrialization — designing the system that will power the company of tomorrow.

You won't be joining a company that's thinking about AI. You'll be joining one that's already building it — and you'll be at the center of what comes next.

Who are we looking for?

Backend Engineer with AI exposure – solid on APIs, reliability, and scalable integrations, with growing experience in LLMs
Data / Analytics Engineer – strong on data structuring and business use cases, relevant for analytics-driven agents
ML / Applied AI Engineer – good understanding of LLMs, RAG, and evaluation, with potential to grow on productization

What You’ll Do

1. Design & Build AI Agents

• Create workflow-driven AI agents (e.g., BDR, Contract, Accounting agents)
• Architect multi-step agent systems including prompts, tools, memory, and guardrails
• Rapidly prototype solutions and evolve them into production-grade products

2. Integrate Across the Stack

• Connect agents to internal systems (CRM, data platforms, Drive, Jira, etc.)
• Enable agents to perform real actions (e.g., update CRM, generate reports, create tickets)
• Ensure reliable orchestration between APIs, tools, and data sources

3. Iterate for Impact

• Run pilots with end users and gather qualitative and quantitative feedback
• Analyze usage, errors, and performance metrics
• Continuously improve accuracy, reliability, and user experience

4. Ensure Security & Quality

• Implement robust guardrails, validation layers, and access controls
• Ensure compliance with data security and governance standards
• Clearly document each agent (scope, capabilities, limitations, KPIs, roadmap)

5. Drive Adoption & Enablement

• Build a clean, scalable agent ecosystem for internal users
• Support and educate teams on adopting agents in their workflows
• Contribute to internal best practices and agent-building standards
• Act as a champion for AI-driven ways of working

Collaborative: you work hand-in-hand with our process owners, the Solution architect and the Data team.     

Our stack and tools:

• GenAI APIs: OpenAI, Anthropic, Mistral, Gemini
• Agent & Automation Tools: n8n, Dust, Claude
• Cloud: AWS or GCP
• (Optional): LangChain, LlamaIndex
  
  

What Makes You Successful

• Strong product mindset: able to identify friction and design practical solutions
• Ability to turn ambiguous problems into structured, automated workflows
• Focus on measurable impact, not just technical output

Success Metrics

• Adoption: number of agents actively used and delivering value
• Automation rate: % of tasks completed without human intervention
• Performance: accuracy, reliability, and user satisfaction
• Business impact: time saved, quality improvements, operational efficiency

You'll Love This Job If you have 

• 3 to 5 years of experience as a Data Scientist, ML Engineer, or Software Engineer, with a background in backend/full-stack development, data, or automation workflows
• Proven experience building AI agents using LLMs, RAG, MCP and related technologies, including architectural design of multi-step agentic workflows
• Proficient in Python and data fundamentals (SQL, JSON, data modeling)
• Production deployment expertise, you've shipped AI solutions in production
• Experience with API integrations, MCP, webhooks, and connectors
• Experience with low-code/no-code automation platforms (n8n, Make, Zapier or equivalent)
• Curiosity and continuous learning, you stay current with AI/ML trends and love exploring new technologies
• Strong communication skills in both English and French

Feel free to add a link to your GitHub in your CV so we can understand what you have worked on!

Want to join us? Here is our process 

• A 40-minute phone conversation with one of our Tech recruiters. This will be an opportunity to discuss your background, expectations, and discover what Mirakl can offer you in return.
• An initial 1 hour technical discussion with a member of the Data Science team and Engineering Team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects.
• 2 x 45-minute "STAR" interviews with future Mirakl colleagues to discuss our values and company culture.

About the job

Design, build, and scale internal AI agents that integrate with company systems, automate workflows, and deliver measurable operational impact.

This is a permanent position (CDI) based in Paris or Bordeaux, with 4 days on-site per week.

Why Now, Why Mirakl

The rise of agentic AI has fundamentally changed what's possible in our team automation. For the first time, AI agents can handle complex, multi-step workflows with minimal human intervention.

Mirakl is uniquely positioned to lead this shift. As an Operating system for intelligent commerce, technology is in our DNA. We've already deployed some AI agents using Dust, n8n, Claude Code and Langchain, and the early results are compelling. Now we need someone to take this from experimentation to internal agent industrialization — designing the system that will power the company of tomorrow.

You won't be joining a company that's thinking about AI. You'll be joining one that's already building it — and you'll be at the center of what comes next.

Who are we looking for?

Backend Engineer with AI exposure – solid on APIs, reliability, and scalable integrations, with growing experience in LLMs

Data / Analytics Engineer – strong on data structuring and business use cases, relevant for analytics-driven agents

ML / Applied AI Engineer – good understanding of LLMs, RAG, and evaluation, with potential to grow on productization

What You’ll Do

1. Design & Build AI Agents

• Create workflow-driven AI agents (e.g., BDR, Contract, Accounting agents)
• Architect multi-step agent systems including prompts, tools, memory, and guardrails
• Rapidly prototype solutions and evolve them into production-grade products

2. Integrate Across the Stack

• Connect agents to internal systems (CRM, data platforms, Drive, Jira, etc.)
• Enable agents to perform real actions (e.g., update CRM, generate reports, create tickets)
• Ensure reliable orchestration between APIs, tools, and data sources

3. Iterate for Impact

• Run pilots with end users and gather qualitative and quantitative feedback
• Analyze usage, errors, and performance metrics
• Continuously improve accuracy, reliability, and user experience

4. Ensure Security & Quality

• Implement robust guardrails, validation layers, and access controls
• Ensure compliance with data security and governance standards
• Clearly document each agent (scope, capabilities, limitations, KPIs, roadmap)

5. Drive Adoption & Enablement

• Build a clean, scalable agent ecosystem for internal users
• Support and educate teams on adopting agents in their workflows
• Contribute to internal best practices and agent-building standards
• Act as a champion for AI-driven ways of working

Collaborative: you work hand-in-hand with our process owners, the Solution architect and the Data team.     

Our stack and tools:

• GenAI APIs: OpenAI, Anthropic, Mistral, Gemini
• Agent & Automation Tools: n8n, Dust, Claude
• Cloud: AWS or GCP

What Makes You Successful

• Strong product mindset: able to identify friction and design practical solutions
• Ability to turn ambiguous problems into structured, automated workflows
• Focus on measurable impact, not just technical output
  
  

Success Metrics

• Adoption: number of agents actively used and delivering value
• Automation rate: % of tasks completed without human intervention
• Performance: accuracy, reliability, and user satisfaction
• Business impact: time saved, quality improvements, operational efficiency

You'll Love This Job If you have 

• 3 to 5 years of experience as a Data Scientist, ML Engineer, or Software Engineer, with a background in backend/full-stack development, data, or automation workflows
• Proven experience building AI agents using LLMs, RAG, MCP and related technologies, including architectural design of multi-step agentic workflows
• Proficient in Python and data fundamentals (SQL, JSON, data modeling)
• Production deployment expertise, you've shipped AI solutions in production
• Experience with API integrations, MCP, webhooks, and connectors
• Experience with low-code/no-code automation platforms (n8n, Make, Zapier or equivalent)
• Curiosity and continuous learning, you stay current with AI/ML trends and love exploring new technologies
• Strong communication skills in both English and French

Feel free to add a link to your GitHub in your CV so we can understand what you have worked on!

Want to join us? Here is our process 

• A 40-minute phone conversation with one of our Tech recruiters. This will be an opportunity to discuss your background, expectations, and discover what Mirakl can offer you in return.
• An initial 1 hour technical discussion with a member of the Data Science team and Engineering Team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects.
• 2 x 45-minute "STAR" interviews with future Mirakl colleagues to discuss our values and company culture.

About the job

As part of our Data team (60+ people), your main mission will be to prototype, iterate, and put algorithms into production in collaboration with the Product teams, Data Engineers, and Development teams.

The topics you will be working on will have a real impact on 450+ of the world's largest retailers (Best Buy, Decathlon, Leroy Merlin, Macy's, etc.) and 100k+ sellers. The goal is to make the most of our rich and varied data in order to increase their revenue, optimize the operational management of their businesses, and ensure the security of users and transactions. 

We are looking for someone on a permanent contract, based in Paris or Bordeaux (1 day remote per week).

Here are some of the current and future topics the team is working on:

• Detecting anomalies in product prices
• Analyzing sentiment in seller/consumer exchanges to prioritize critical messages
• Estimating package delivery times
• Predicting and anticipating stock shortages
• Detecting anomalies in seller behavior
• Developing AI agents to help sellers take action on their businesses
  
  

This job offers you:

• Implementing algorithms that will have a visible impact on more than 500 e-commerce sites/marketplaces in 40 countries, some of which are very large (millions of products, customers, orders per year)
• A wide variety of techniques (time series, heuristics, deep learning, NLP, LLM, etc.).
• Real autonomy and responsibility in the projects you own
  
  

Our stack and tools:
Python, Tensorflow, Keras, Pytorch, Databricks, Spark, AWS (Amazon Redshift, s3, etc.), SQL, Airflow, Delta Lake

On a daily basis, you will:

• Analyze and prepare data, prototype algorithms
• Put them into production in collaboration with Data Engineers and development teams
• Create dashboards to illustrate the relevance of algorithms and monitor production
• Present results at weekly data science meetings and participate in team brainstorming sessions
• Liaise with other teams to refine use cases, user experience, and integration methods

You will enjoy this job if:

• You have a background in machine learning, mathematics, computer science (or a related field)
• You already have 6-8 years of experience in a similar position
• You have significant experience in applied ML in a business setting
• You have a good knowledge of machine learning and deep learning algorithms (particularly state-of-the-art architectures, such as Transformers)
• You are proficient in Python, Tensorflow, and/or PyTorch.
• You are pragmatic, data-driven, and business-oriented with good team spirit.
• You like to take ownership of your projects and are curious.
• You have a positive attitude: respect and kindness are part of your values.

Want to join us? ⭐

• A 30-minute phone call with one of our Tech recruiters. This will be an opportunity to discuss your background and expectations, and to find out what Mirakl can offer you in return.
• An initial 30-minute technical discussion via Zoom with a member of the Data Science team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects.
• A practical case study to complete at home.
• A 75-minute technical review and discussion with a manager from the Data Science team.
• A final 1-hour Zoom meeting with future Mirakl colleagues to discuss our values and corporate culture. 

About the job

As part of our Data team (60+ people), your main mission will be to prototype, iterate, and put algorithms into production in collaboration with the Product teams, Data Engineers, and Development teams.

The topics you will be working on will have a real impact on 450+ of the world's largest retailers (Best Buy, Decathlon, Leroy Merlin, Macy's, etc.) and 100k+ sellers. The goal is to make the most of our rich and varied data in order to increase their revenue, optimize the operational management of their businesses, and ensure the security of users and transactions. 

We are looking for someone on a permanent contract, based in Paris or Bordeaux (1 day remote per week).

Here are some of the current and future topics the team is working on:

• Detecting anomalies in product prices
• Analyzing sentiment in seller/consumer exchanges to prioritize critical messages
• Estimating package delivery times
• Predicting and anticipating stock shortages
• Detecting anomalies in seller behavior
• Developing AI agents to help sellers take action on their businesses
  
  

This job offers you:

• Implementing algorithms that will have a visible impact on more than 500 e-commerce sites/marketplaces in 40 countries, some of which are very large (millions of products, customers, orders per year)
• A wide variety of techniques (time series, heuristics, deep learning, NLP, LLM, etc.).
• Real autonomy and responsibility in the projects you own
  
  

Our stack and tools:
Python, Tensorflow, Keras, Pytorch, Databricks, Spark, AWS (Amazon Redshift, s3, etc.), SQL, Airflow, Delta Lake

On a daily basis, you will:

• Analyze and prepare data, prototype algorithms
• Put them into production in collaboration with Data Engineers and development teams
• Create dashboards to illustrate the relevance of algorithms and monitor production
• Present results at weekly data science meetings and participate in team brainstorming sessions
• Liaise with other teams to refine use cases, user experience, and integration methods

You will enjoy this job if:

• You have a background in machine learning, mathematics, computer science (or a related field)
• You already have 3 years of experience in a similar position
• You have significant experience in applied ML in a business setting
• You have a good knowledge of machine learning and deep learning algorithms (particularly state-of-the-art architectures, such as Transformers)
• You are proficient in Python, Tensorflow, and/or PyTorch.
• You are pragmatic, data-driven, and business-oriented with good team spirit.
• You like to take ownership of your projects and are curious.
• You have a positive attitude: respect and kindness are part of your values.

Want to join us? ⭐

• A 30-minute phone call with one of our Tech recruiters. This will be an opportunity to discuss your background and expectations, and to find out what Mirakl can offer you in return.
• An initial 30-minute technical discussion via Zoom with a member of the Data Science team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects.
• A practical case study to complete at home.
• A 75-minute technical review and discussion with a manager from the Data Science team.
• A final 1-hour Zoom meeting with future Mirakl colleagues to discuss our values and corporate culture. 

About the job

As part of our Data team (60+ people), your main mission will be to prototype, iterate, and put algorithms into production in collaboration with the Product teams, Data Engineers, and Development teams.

The topics you will be working on will have a real impact on 450+ of the world's largest retailers (Best Buy, Decathlon, Leroy Merlin, Macy's, etc.) and 100k+ sellers. The goal is to make the most of our rich and varied data in order to increase their revenue, optimize the operational management of their businesses, and ensure the security of users and transactions. 

We are looking for someone on a permanent contract, based in Paris or Bordeaux (1 day remote per week).

Here are some of the current and future topics the team is working on:

• Detecting anomalies in product prices
• Analyzing sentiment in seller/consumer exchanges to prioritize critical messages
• Estimating package delivery times
• Predicting and anticipating stock shortages
• Detecting anomalies in seller behavior
• Developing AI agents to help sellers take action on their businesses
  
  

This job offers you:

• Implementing algorithms that will have a visible impact on more than 500 e-commerce sites/marketplaces in 40 countries, some of which are very large (millions of products, customers, orders per year)
• A wide variety of techniques (time series, heuristics, deep learning, NLP, LLM, etc.).
• Real autonomy and responsibility in the projects you own
  
  

Our stack and tools:
Python, Tensorflow, Keras, Pytorch, Databricks, Spark, AWS (Amazon Redshift, s3, etc.), SQL, Airflow, Delta Lake

On a daily basis, you will:

• Analyze and prepare data, prototype algorithms
• Put them into production in collaboration with Data Engineers and development teams
• Create dashboards to illustrate the relevance of algorithms and monitor production
• Present results at weekly data science meetings and participate in team brainstorming sessions
• Liaise with other teams to refine use cases, user experience, and integration methods

You will enjoy this job if:

• You have a background in machine learning, mathematics, computer science (or a related field)
• You already have 3 years of experience in a similar position
• You have significant experience in applied ML in a business setting
• You have a good knowledge of machine learning and deep learning algorithms (particularly state-of-the-art architectures, such as Transformers)
• You are proficient in Python, Tensorflow, and/or PyTorch.
• You are pragmatic, data-driven, and business-oriented with good team spirit.
• You like to take ownership of your projects and are curious.
• You have a positive attitude: respect and kindness are part of your values.

Want to join us? ⭐

• A 30-minute phone call with one of our Tech recruiters. This will be an opportunity to discuss your background and expectations, and to find out what Mirakl can offer you in return.
• An initial 30-minute technical discussion via Zoom with a member of the Data Science team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects.
• A practical case study to complete at home.
• A 75-minute technical review and discussion with a manager from the Data Science team.
• A final 1-hour Zoom meeting with future Mirakl colleagues to discuss our values and corporate culture. 

About the job

As part of our Data team (60+ people), your main mission will be to prototype, iterate, and put algorithms into production in collaboration with the Product teams, Data Engineers, and Development teams.

The topics you will be working on will have a real impact on 450+ of the world's largest retailers (Best Buy, Decathlon, Leroy Merlin, Macy's, etc.) and 100k+ sellers. The goal is to make the most of our rich and varied data in order to increase their revenue, optimize the operational management of their businesses, and ensure the security of users and transactions. 

We are looking for someone on a permanent contract, based in Paris or Bordeaux (1 day remote per week).

Here are some of the current and future topics the team is working on:

• Detecting anomalies in product prices
• Analyzing sentiment in seller/consumer exchanges to prioritize critical messages
• Estimating package delivery times
• Predicting and anticipating stock shortages
• Detecting anomalies in seller behavior
• Developing AI agents to help sellers take action on their businesses
  
  

This job offers you:

• Implementing algorithms that will have a visible impact on more than 500 e-commerce sites/marketplaces in 40 countries, some of which are very large (millions of products, customers, orders per year)
• A wide variety of techniques (time series, heuristics, deep learning, NLP, LLM, etc.).
• Real autonomy and responsibility in the projects you own
  
  

Our stack and tools:
Python, Tensorflow, Keras, Pytorch, Databricks, Spark, AWS (Amazon Redshift, s3, etc.), SQL, Airflow, Delta Lake

On a daily basis, you will:

• Analyze and prepare data, prototype algorithms
• Put them into production in collaboration with Data Engineers and development teams
• Create dashboards to illustrate the relevance of algorithms and monitor production
• Present results at weekly data science meetings and participate in team brainstorming sessions
• Liaise with other teams to refine use cases, user experience, and integration methods

You will enjoy this job if:

• You have a background in machine learning, mathematics, computer science (or a related field)
• You already have 6-8 years of experience in a similar position
• You have significant experience in applied ML in a business setting
• You have a good knowledge of machine learning and deep learning algorithms (particularly state-of-the-art architectures, such as Transformers)
• You are proficient in Python, Tensorflow, and/or PyTorch.
• You are pragmatic, data-driven, and business-oriented with good team spirit.
• You like to take ownership of your projects and are curious.
• You have a positive attitude: respect and kindness are part of your values.

Want to join us? ⭐

• A 30-minute phone call with one of our Tech recruiters. This will be an opportunity to discuss your background and expectations, and to find out what Mirakl can offer you in return.
• An initial 30-minute technical discussion via Zoom with a member of the Data Science team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects.
• A practical case study to complete at home.
• A 75-minute technical review and discussion with a manager from the Data Science team.
• A final 1-hour Zoom meeting with future Mirakl colleagues to discuss our values and corporate culture. 

Senior AI Product Manager – Mirakl Agent

We're hiring a Senior AI Product Manager to lead the strategy and execution of the Mirakl Agent across documentation, analytics, and growth recommendation flows. You will work at the intersection of LLMs, orchestration systems, product data, and marketplace operations, ensuring the agent delivers accurate, trustworthy, and high-impact operator experiences across the full product lifecycle. This is a hands-on role within a highly cross-functional environment, with strong startup DNA inside a scaleup, focused on shaping the agent's intelligence, architecture, integrations, and native product capabilities.

What You'll Do

Design end-to-end agent experiences across documentation, analytics & growth

• Understand B2B operator needs across documentation access, data analysis, and growth recommendations.
• Define agent reasoning, orchestration flows, and product-triggered actions for the full operator journey (beyond simple text responses).

Own the roadmap & deliver AI-powered product features

• Lead the roadmap for the Mirakl Agent across its sub-agents: Documentation Agent, Analytics Agent, and Recommendation/Growth Agent.
• Write clear specs (prompts, retrieval logic, APIs, orchestration flows, UX) and drive execution with engineering, data engineering, core, and analytics teams.

Shape and improve the agentic architecture

• Define how the orchestrating agent coordinates sub-agents, manages hallucinations, and triggers real product actions.
• Contribute to retrieval/ranking pipelines and integrate core workflows (auto-filled forms, dynamic charts, actionable growth recommendations, partial auto-execution).

Build dashboards, monitoring & feedback systems

• Deliver operator-facing dashboards and configuration UI to visualize, tune, and monitor agent behavior.
• Implement evaluation frameworks, quality monitoring, and feedback loops.

Drive adoption & cross-functional collaboration

• Partner with PMM, CS & SE to create demos, training, and onboarding for customers adopting agentic experiences.
• Collaborate across Core, Analytics, Data Engineering, and sub-agent owner teams.
• Support early customers and promote Mirakl Agent internally and externally.
  
  

Who you are

• 5+ years of Product Management experience in AI products.
• Strong understanding of LLMs, RAG, embeddings, fine-tuning, prompting, structured reasoning, and multi-agent orchestration.
• Experience working with AI/ML and Data Science teams on model evaluation, tuning, hallucination reduction, and reliability monitoring.
• Have already shipped at least one agentic project in production (even a simple one, e.g. a ticket support agent).
• Comfortable writing specs for AI logic, orchestration flows, ranking rules, APIs, data pipelines, and front-end configuration tools.
• Able to navigate strategic uncertainty, pivot comfortably, and structure complex, greenfield projects from scratch.
• Strong B2B mindset, with the ability to operate as a mini GM AI rather than a classic feature PM.
• Analytical, experimentation-driven mindset.
• Fluent in English and French.
  
  

📍 Location: 

Paris, Bordeaux, with up to 1 day of remote work per week

Interview Process

• A 40-minute call with one of our Tech Recruiters to discuss your background, expectations, and what Mirakl can offer.
• A one-hour technical interview with our Data Science Manager to assess your expertise and how your skills can accelerate our AI initiatives.
• A 30-minute interview with Anne-Claire, our Chief Data & AI Officer, to dive into your vision and alignment with our AI strategy.
• Two 45-minute interviews with our Engineering Manager and Product Lead to evaluate collaboration style, mindset, and culture fit.

About the job

As part of our Data team (60+ people), your main mission will be to prototype, iterate, and put algorithms into production in collaboration with the Product teams, Data Engineers, and Development teams.

The topics you will be working on will have a real impact on 450+ of the world's largest retailers (Best Buy, Decathlon, Leroy Merlin, Macy's, etc.) and 100k+ sellers. The goal is to make the most of our rich and varied data in order to increase their revenue, optimize the operational management of their businesses, and ensure the security of users and transactions. 

We are looking for someone on a permanent contract, based in Paris or Bordeaux (1 day remote per week).

Here are some of the current and future topics the team is working on:

• Detecting anomalies in product prices
• Analyzing sentiment in seller/consumer exchanges to prioritize critical messages
• Estimating package delivery times
• Predicting and anticipating stock shortages
• Detecting anomalies in seller behavior
• Developing AI agents to help sellers take action on their businesses
  
  

This job offers you:

• Implementing algorithms that will have a visible impact on more than 500 e-commerce sites/marketplaces in 40 countries, some of which are very large (millions of products, customers, orders per year)
• A wide variety of techniques (time series, heuristics, deep learning, NLP, LLM, etc.).
• Real autonomy and responsibility in the projects you own
  
  

Our stack and tools:
Python, Tensorflow, Keras, Pytorch, Databricks, Spark, AWS (Amazon Redshift, s3, etc.), SQL, Airflow, Delta Lake

On a daily basis, you will:

• Analyze and prepare data, prototype algorithms
• Put them into production in collaboration with Data Engineers and development teams
• Create dashboards to illustrate the relevance of algorithms and monitor production
• Present results at weekly data science meetings and participate in team brainstorming sessions
• Liaise with other teams to refine use cases, user experience, and integration methods

You will enjoy this job if:

• You have a background in machine learning, mathematics, computer science (or a related field)
• You already have 3 to 6 years of experience in a similar position
• You have significant experience in applied ML in a business setting
• You have a good knowledge of machine learning and deep learning algorithms (particularly state-of-the-art architectures, such as Transformers)
• You are proficient in Python, Tensorflow, and/or PyTorch.
• You are pragmatic, data-driven, and business-oriented with good team spirit.
• You like to take ownership of your projects and are curious.
• You have a positive attitude: respect and kindness are part of your values.

Want to join us? ⭐

• A 30-minute phone call with one of our Tech recruiters. This will be an opportunity to discuss your background and expectations, and to find out what Mirakl can offer you in return.
• An initial 30-minute technical discussion via Zoom with a member of the Data Science team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects.
• A practical case study to complete at home.
• A 75-minute technical review and discussion with a manager from the Data Science team.
• A final 1-hour Zoom meeting with future Mirakl colleagues to discuss our values and corporate culture. 

About the job

As part of our Data team (60+ people), your main mission will be to prototype, iterate, and put algorithms into production in collaboration with the Product teams, Data Engineers, and Development teams.

The topics you will be working on will have a real impact on 450+ of the world's largest retailers (Best Buy, Decathlon, Leroy Merlin, Macy's, etc.) and 100k+ sellers. The goal is to make the most of our rich and varied data in order to increase their revenue, optimize the operational management of their businesses, and ensure the security of users and transactions. 

We are looking for someone on a permanent contract, based in Paris or Bordeaux (1 day remote per week).

Here are some of the current and future topics the team is working on:

• Detecting anomalies in product prices
• Analyzing sentiment in seller/consumer exchanges to prioritize critical messages
• Estimating package delivery times
• Predicting and anticipating stock shortages
• Detecting anomalies in seller behavior
• Developing AI agents to help sellers take action on their businesses
  
  

This job offers you:

• Implementing algorithms that will have a visible impact on more than 500 e-commerce sites/marketplaces in 40 countries, some of which are very large (millions of products, customers, orders per year)
• A wide variety of techniques (time series, heuristics, deep learning, NLP, LLM, etc.).
• Real autonomy and responsibility in the projects you own
  
  

Our stack and tools:
Python, Tensorflow, Keras, Pytorch, Databricks, Spark, AWS (Amazon Redshift, s3, etc.), SQL, Airflow, Delta Lake

On a daily basis, you will:

• Analyze and prepare data, prototype algorithms
• Put them into production in collaboration with Data Engineers and development teams
• Create dashboards to illustrate the relevance of algorithms and monitor production
• Present results at weekly data science meetings and participate in team brainstorming sessions
• Liaise with other teams to refine use cases, user experience, and integration methods

You will enjoy this job if:

• You have a background in machine learning, mathematics, computer science (or a related field)
• You already have 3 to 6 years of experience in a similar position
• You have significant experience in applied ML in a business setting
• You have a good knowledge of machine learning and deep learning algorithms (particularly state-of-the-art architectures, such as Transformers)
• You are proficient in Python, Tensorflow, and/or PyTorch.
• You are pragmatic, data-driven, and business-oriented with good team spirit.
• You like to take ownership of your projects and are curious.
• You have a positive attitude: respect and kindness are part of your values.

Want to join us? ⭐

• A 30-minute phone call with one of our Tech recruiters. This will be an opportunity to discuss your background and expectations, and to find out what Mirakl can offer you in return.
• An initial 30-minute technical discussion via Zoom with a member of the Data Science team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects.
• A practical case study to complete at home.
• A 75-minute technical review and discussion with a manager from the Data Science team.
• A final 1-hour Zoom meeting with future Mirakl colleagues to discuss our values and corporate culture. 

Senior AI Product Manager – Mirakl Agent

We're hiring a Senior AI Product Manager to lead the strategy and execution of the Mirakl Agent across documentation, analytics, and growth recommendation flows. You will work at the intersection of LLMs, orchestration systems, product data, and marketplace operations, ensuring the agent delivers accurate, trustworthy, and high-impact operator experiences across the full product lifecycle. This is a hands-on role within a highly cross-functional environment, with strong startup DNA inside a scaleup, focused on shaping the agent's intelligence, architecture, integrations, and native product capabilities.

What You'll Do

Design end-to-end agent experiences across documentation, analytics & growth

• Understand B2B operator needs across documentation access, data analysis, and growth recommendations.
• Define agent reasoning, orchestration flows, and product-triggered actions for the full operator journey (beyond simple text responses).

Own the roadmap & deliver AI-powered product features

• Lead the roadmap for the Mirakl Agent across its sub-agents: Documentation Agent, Analytics Agent, and Recommendation/Growth Agent.
• Write clear specs (prompts, retrieval logic, APIs, orchestration flows, UX) and drive execution with engineering, data engineering, core, and analytics teams.

Shape and improve the agentic architecture

• Define how the orchestrating agent coordinates sub-agents, manages hallucinations, and triggers real product actions.
• Contribute to retrieval/ranking pipelines and integrate core workflows (auto-filled forms, dynamic charts, actionable growth recommendations, partial auto-execution).

Build dashboards, monitoring & feedback systems

• Deliver operator-facing dashboards and configuration UI to visualize, tune, and monitor agent behavior.
• Implement evaluation frameworks, quality monitoring, and feedback loops.

Drive adoption & cross-functional collaboration

• Partner with PMM, CS & SE to create demos, training, and onboarding for customers adopting agentic experiences.
• Collaborate across Core, Analytics, Data Engineering, and sub-agent owner teams.
• Support early customers and promote Mirakl Agent internally and externally.

Who you are

• 5+ years of Product Management experience in AI products.
• Strong understanding of LLMs, RAG, embeddings, fine-tuning, prompting, structured reasoning, and multi-agent orchestration.
• Experience working with AI/ML and Data Science teams on model evaluation, tuning, hallucination reduction, and reliability monitoring.
• Have already shipped at least one agentic project in production (even a simple one, e.g. a ticket support agent).
• Comfortable writing specs for AI logic, orchestration flows, ranking rules, APIs, data pipelines, and front-end configuration tools.
• Able to navigate strategic uncertainty, pivot comfortably, and structure complex, greenfield projects from scratch.
• Strong B2B mindset, with the ability to operate as a mini GM AI rather than a classic feature PM.
• Analytical, experimentation-driven mindset.
• Fluent in English and French.
  
  

📍 Location: 

Paris, Bordeaux, with up to 1 day of remote work per week.

Interview Process

• A 40-minute call with one of our Tech Recruiters to discuss your background, expectations, and what Mirakl can offer.
• A one-hour technical interview with our Data Science Manager to assess your expertise and how your skills can accelerate our AI initiatives.
• A 30-minute interview with Anne-Claire, our Chief Data & AI Officer, to dive into your vision and alignment with our AI strategy.
• Two 45-minute interviews with our Engineering Manager and Product Lead to evaluate collaboration style, mindset, and culture fit.