The Team You'll Join

Your Impact

• Design and produce engaging content across multiple formats (video, e-learning, written documentation) in collaboration with Training and Product Content teams, utilizing tools like Guidde, Mindsmith, Veed, Paligo, and Confluence
• Structure and optimize diverse content sources to feed our Digital Agent, organizing content architecture and metadata to enable intelligent self-service and autonomous issue resolution for users
• Identify training requirements and content gaps by engaging with internal teams and external users, proposing actionable solutions to improve discoverability and effectiveness
• Leverage AI-driven analytics to track learner engagement, measure content performance, and adapt materials dynamically based on user interactions and data insights
• Work closely with Product experts, Technical teams, and Customer Success to ensure content remains accurate, relevant, and up-to-date across all knowledge sources

What You'll Bring to the Role

• Currently pursuing a degree in Communication, Content Design, Knowledge Management, Digital Learning, Technical Documentation, or a related field
• Experience in video production, multimedia content creation, or technical documentation writing is a plus
• Strong organizational skills and attention to detail with ability to manage multiple projects simultaneously

• Technical proficiency with multimedia and documentation tools, with eagerness to explore AI technologies
• Content architecture and knowledge management understanding to optimize materials for users and AI-powered agents
• Solution-oriented and agile mindset, thriving when switching between teams and managing multiple priorities
• Creativity and user-centricity with strong focus on learning impact
• Excellent communication and collaboration skills

Tools Used

• Guidde
• Mindsmith
• Veed
• Paligo
• Confluence

Languages

• French: Native or fluent (required)
• English: B2 minimum (required)

Our Hiring Process

1. Manuel screening of your CV by a recruiter and then an AI-powered screening conversation (10 min) with Emma, Mirakl’s AI Talent Ambassador to explore your background and motivation for the role. You will need to complete this step within 3 days, otherwise we won't be able to move forward with your application.
2. Intro call with the recruiter to get to know each other, discuss your experience, and answer your questions about Mirakl
3. Two interviews where you'll meet your future manager Alice and colleagues. You'll discover the STAR method and structured interviews
4. Welcome to Mirakl!

The Team You'll Join

Your Impact

• Design and produce engaging content across multiple formats (video, e-learning, written documentation) in collaboration with Training and Product Content teams, utilizing tools like Guidde, Mindsmith, Veed, Paligo, and Confluence
• Structure and optimize diverse content sources to feed our Digital Agent, organizing content architecture and metadata to enable intelligent self-service and autonomous issue resolution for users
• Identify training requirements and content gaps by engaging with internal teams and external users, proposing actionable solutions to improve discoverability and effectiveness
• Leverage AI-driven analytics to track learner engagement, measure content performance, and adapt materials dynamically based on user interactions and data insights
• Work closely with Product experts, Technical teams, and Customer Success to ensure content remains accurate, relevant, and up-to-date across all knowledge sources

What You'll Bring to the Role

• Currently pursuing a degree in Communication, Content Design, Knowledge Management, Digital Learning, Technical Documentation, or a related field
• Experience in video production, multimedia content creation, or technical documentation writing is a plus
• Strong organizational skills and attention to detail with ability to manage multiple projects simultaneously

• Technical proficiency with multimedia and documentation tools, with eagerness to explore AI technologies
• Content architecture and knowledge management understanding to optimize materials for users and AI-powered agents
• Solution-oriented and agile mindset, thriving when switching between teams and managing multiple priorities
• Creativity and user-centricity with strong focus on learning impact
• Excellent communication and collaboration skills

Tools Used

• Guidde
• Mindsmith
• Veed
• Paligo
• Confluence

Languages

• French: Native or fluent (required)
• English: B2 minimum (required)

Our Hiring Process

1. Manuel screening of your CV by a recruiter and then an AI-powered screening conversation (10 min) with Emma, Mirakl’s AI Talent Ambassador to explore your background and motivation for the role. You will need to complete this step within 3 days, otherwise we won't be able to move forward with your application.
2. Intro call with the recruiter to get to know each other, discuss your experience, and answer your questions about Mirakl
3. Two interviews where you'll meet your future manager Alice and colleagues. You'll discover the STAR method and structured interviews
4. Welcome to Mirakl!

The mission of OrgStore is to provide an easy-to-use, fully-managed platform to store and search data. With Postgres as our cornerstone technology, we focus on transactional (OLTP) data use-cases while providing a custom data plane and a flexible administrative layer. Our users are the thousands of engineers representing hundreds of teams producing products at Datadog. As a platform infrastructure team, our goal is to accelerate product teams by helping them rapidly stand up new features and make step change improvements to their application's performance. Data storage is ubiquitous and the service we are providing is critical for Datadog as the business scales and expands its product offerings.

As the Engineering Manager for the OrgStore Blueprint Team, you will lead a high-performing team of software engineers, guiding them in building and maintaining these mission-critical systems. Collaboration is key in this role, needing to work closely with other engineering, product, and support teams across Datadog. Your strategic vision will not only guide your team's day-to-day operations but also influence the long-term roadmap of support within Datadog.

At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.

What You’ll Do:

• Guide and mentor a diverse team of 4-8 software engineers, fostering their career growth while ensuring high team performance.
• Drive the technical roadmap in collaboration with your team, product managers, and support teams ensuring it aligns with company objectives and directly contributes to improving customer satisfaction.
• Engage strategically with complex technical problems and work with your team to produce well-defined and actionable plans.
• Be a core contributor and reviewer of code, lead design decisions, and participate in our  well-scoped on-call rotation.
• Understand the broader business context to align technical decisions with business goals, supporting long-term objectives and driving innovation.
• Contribute to engineering-wide initiatives as a member of Datadog’s engineering management team.
  
  

Who You Are:

• A seasoned software engineer with experience building developer tools, running databases, and maintaining infrastructure with a focus on reliability and fault tolerance
• A proven leader with the ability to manage team dynamics, set goals, provide feedback, and foster a positive and productive work environment
• A capable project manager who can plan, organize, and oversee multiple software engineering projects
• An excellent communicator who is comfortable interacting with team members, stakeholders, and upper management alike
• Demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output
• Bonus points: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. 

Benefits and Growth:

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

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.

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.

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.

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.