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

Product Analytics aims to help developers, product managers and designers understand their users, take data-oriented product decisions and evaluate the impact of technical issues on their customer base. As a Senior Software Engineer on the Product Analytics Backend team, you'll join a new, fast-growing product area. You will help define our technical vision, influence the product roadmap, and solve complex engineering challenges at scale.

In Product Analytics, we consume and process data from multiple sources: clickstreams, user information, and data from third-party systems. Your work will be central to building a robust and flexible system that can ingest, manipulate, correlate and store all this data to have it efficiently queried by our end users.

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: 

• Design, build, and maintain core backend systems for Product Analytics, ensuring scalability, reliability, and high performance 
• Drive technical architecture decisions in alignment with product goals and collaborate closely with frontend and platform teams 
• Work with our core platform teams to tailor Datadog's storage and query solutions to our needs
• Create a strong team culture aligned with our engineering standards and our customer focus
• Participate in hands-on engineering work including coding, code reviews, and design reviews

Who You Are: 

• A seasoned backend engineer with deep expertise in designing and building distributed systems 
• Comfortable influencing technical direction without direct management authority, operating as a technical leader and mentor 
• Interested in working on an early stage project with many challenges to solve and a fast iteration cycle 
• You have a track record of delivering high-quality software products on schedule and collaborating closely with product partners 
• Strong technician, particularly with Go, Java or SQL, who is interested in remaining a hands-on contributor
• You’re excited about leveraging AI tools to enhance how you code, solve problems, and build – or eager to learn how
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output
• Bonus: 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 mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

APM Data Hub is at the core of APM, one of the product pillars of Datadog. Our team is responsible for the backend pipeline that processes, transforms, and routes tracing data at scale after ingestion. Our mission is to extend the pipeline's capabilities so that multiple products across Datadog can leverage the rich data present in traces — serving not only APM Distributed Tracing but a growing number of product teams that depend on this data.

As an Engineering Manager for APM Data Hub, you'll lead a distributed team of 6 engineers with diverse seniority, shaping the technical vision of a platform that sits at a critical intersection of Datadog's product ecosystem. You'll own the roadmap for how tracing data is processed and exposed to multiple consumers, maintain high engineering standards for a system operating reliably at scale, and facilitate cross-functional collaboration with the product teams building on top of your  pipeline. You'll have the opportunity to contribute to solving complex engineering challenges with a transversal impact on multiple products.

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:

• Manage a team of 6 engineers responsible for a pipeline powering critical features of Datadog platform
• Provide technical leadership by identifying, addressing, and removing roadblocks to maintain team velocity and code quality.
• Collaborate closely with the Product teams to enhance our APM experience and with Platform teams to support our evolutions
• Lead strategic, multi-quarter initiatives, navigating ambiguity to establish clear goals and execution paths.
• Foster professional growth and career advancement for team members, including performance reviews and promotions.
• Participate and lead by example in the team's 24/7 on-call rotation to maintain service reliability.
  
  

Who You Are:

• Proven experience (1+ years) leading a team of 4+ engineers with an emphasis on customer-driven improvements.
• Skilled collaborator, able to effectively coordinate efforts across multiple teams and functions.
• Demonstrated technical judgment and ability to guide technical decisions across back-end distributed systems
• Passionate about mentoring and growing engineers, actively developing the next generation of technical leaders.

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 REDAPL organization is seeking an experienced and strategic leader to oversee our Resource Graph team. REDAPL is Datadog’s main platform for tracking our customers’ infrastructure resources and relationships. REDAPL Resource Graph also plays a key role in serving Datadog’s Security products.

This position will play a critical role in driving the future of our data infrastructure and ensuring the highest level of performance and reliability for our systems. As the team is also quickly growing, you will also be involved in hiring the best candidates for this team.

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:

• Strategic Leadership: Drive the vision and strategy for the teams, ensuring alignment with the overall goals.
• Team Oversight: Provide guidance and support to the ICs in the team, fostering a collaborative and high-performing work environment.
• Technical Excellence: Ensure the teams maintain high standards of code quality, performance, and reliability across all systems and services.
• Innovation and Improvement: Identify opportunities for innovation and continuous improvement within the datastore and serving domains, promoting best practices and new technologies.
• Talent Management: Lead hiring efforts to attract and retain top talent, ensuring the growth and development of team members through mentoring and professional development opportunities.
• Cross-functional Collaboration: Work closely with other teams and stakeholders to align on priorities, address challenges, and deliver high-impact solutions.
  
  

Who You Are: 

• You have proven experience managing teams that shipped and operated business-critical systems.
• You have demonstrated ability in designing, building, and operating distributed systems to solve problems at scale.
• You have experience working with Graph Databases such as Neo4j, Memgraph, JanusGraph, ArangoDB, Amazon Neptune or PuppyGraph.
• Managed a team for over 2 years.
• You are an excellent communicator and collaborator, able to work effectively through complex technical problems with a diverse group of stakeholders.
• You are comfortable in a fast-paced, high-growth environment, able to adapt strategies and solutions in response to emerging challenges and opportunities.
• Skilled in setting team goals and prioritizing features that align with business needs.
• Effective at giving and receiving feedback, enhancing the work environment and team collaborations.
• Possess excellent teamwork, communication, and technical problem-solving skills to contribute to multidisciplinary teams.
• Demonstrated leadership in guiding teams through the full design process from concept to launch, with minimal oversight.
• Maintain a growth mindset, actively seeking learning opportunities and new challenges.
• Able to clearly articulate design decisions and strategies 
• Proven ability to envision long-term goals and focus efforts to achieve them.
• Efficient in optimizing team workflows and processes to enhance team output and collaboration.
• Known for balancing fast iteration, strategic ambiguity, and high-quality outcomes in a dynamic business environment.
• 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 mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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

• 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) 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 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. 

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 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. 

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.