Leboncoin.fr

3 Jobs

1,349 Employees

About the Company

Créé en 2006, leboncoin.fr est une plateforme d’échanges d’un nouveau genre, qui simplifie l’accès à la consommation, privilégie la relation locale et fait du digital un outil au service de tous. En facilitant le rapport des individus à l’échange et à la consommation, leboncoin a su s’imposer en quelques années comme phénomène de société français et faire du bonheur des uns le bonheur des autres. leboncoin, est le 1er site généraliste de vente entre particuliers en France, leader sur les marchés de l’immobilier et l’automobile, acteur clé sur l’emploi et la location de vacances. Avec près de 28,8 millions de visiteurs uniques mensuels en moyenne, leboncoin est le premier site de e-commerce français, et le 2ème site de e-commerce le plus visité en France. leboncoin est aussi indissociable de l’économie circulaire : des millions de biens trouvent une deuxième vie grâce aux utilisateurs du site, avec un impact positif annuel évalué à 11,8 millions de tonnes de C02 économisés. Derrière cette apparente simplicité, se trouve une entreprise en forte croissance de 1500 salariés. On recrute !

Listed Jobs

Company Name: Leboncoin.fr
Job Title: CRM Specialist (N/F/H)
Job Description: **Job Title** CRM Specialist (N/F/H) **Role Summary** Lead the planning, execution, and optimization of multi‑channel CRM campaigns for the B2B Consumer Goods market. Align CRM initiatives with business objectives (acquisition, activation, retention, upsell) and collaborate across product, tech, data, and legal teams to drive measurable performance gains. **Expectations** - Deliver end‑to‑end CRM strategy and execution that meets defined business KPIs. - Own campaign lifecycle, from strategy to analysis, ensuring continuous improvement. - Serve as the subject‑matter expert on CRM tools and processes within the organization. **Key Responsibilities** - Define CRM strategy and create deployment plans in line with company goals. - Design and manage multi‑channel campaigns (email, push, on‑site, in‑app) and landing pages. - Build and maintain advanced customer segments using behavioral, contractual, and declarative data. - Set user lifecycle stages and automate triggers (onboarding, behavioral, etc.). - Develop quarterly animation plans based on stakeholder inputs (product, sales, etc.). - Analyze CRM and attribution KPIs; lead A/B testing to quantify incremental impact. - Produce clear, actionable reporting for stakeholders. - Coordinate with Product, Tech, Trade Marketing, Data, UX/UI, Legal & Privacy teams. - Champion best practices for campaign management and tool usage (Adobe Campaign Classic, Batch, Dartagnan). - Manage CRM projects using Jira or equivalent tools. **Required Skills** - Minimum 4 years of CRM experience, including multi‑channel lifecycle implementation. - Proficiency with a complex campaign management platform (Adobe Campaign Classic preferred). - Experience with segmentation, personalization, and automated triggers. - Strong analytical skills: KPI monitoring, A/B testing, and performance reporting. - Project management tools proficiency (Jira). - Excellent communication, organization, and autonomous execution. - Proactive problem‑solving, data‑driven decision making, and continuous improvement mindset. **Required Education & Certifications** - Bachelor’s degree in Marketing, Business Administration, Information Systems, or related field. - Certifications in CRM or marketing automation tools (e.g., Adobe Campaign, Salesforce, or equivalent) are desirable.

Company Name: Leboncoin.fr
Job Title: Machine Learning Engineer - Team Search (F/N/H)
Job Description: **Job title** Machine Learning Engineer – Search Team **Role Summary** Develop, deploy, and maintain machine‑learning services that power the search experience on a large‑scale marketplace platform. Work closely with backend, frontend, and product teams to design experiments, roll out models, and monitor production performance. **Expectations** - 3+ years of experience as a Machine Learning Engineer or equivalent. - Strong command of Python and at least one ML/DL framework (PyTorch, TensorFlow). - Proven ability to deliver models from prototyping to production. - Familiarity with model serving, CI/CD, monitoring, and observability. - Experience with information retrieval or recommendation systems highly desirable. - Knowledge of LLMs/GenAI and their applications. - Fluency in French (oral & written). **Key Responsibilities** - Design, train, and optimize ML/DL models (NLP, ranking, retrieval, GenAI). - Conduct A/B tests and evaluate impact on search personalization. - Build and enhance auto‑completion pipelines, improving typo and acronym handling. - Integrate models into robust ML pipelines using MLflow, Kubeflow, Airflow, or Kubernetes. - Monitor model drift, performance, and maintainability; implement alerts and remediation. - Collaborate with product, backend, and frontend teams to define feature scope and deliverables. - Apply engineering best practices: unit tests, code reviews, CI/CD, automated deployment. - Contribute to platform tooling improvements and share knowledge across the Data Science guild. **Required Skills** - Python programming (≥3 years). - Deep learning frameworks: PyTorch or TensorFlow. - Production‑level model deployment experience. - Strong understanding of machine‑learning fundamentals (supervised, unsupervised, representation learning). - Experience with MLOps tools (MLflow, Kubeflow, Airflow, Kubernetes). - Ability to design and analyze experiments (A/B testing, statistical methods). - Proactive problem‑solving mindset and clear communication skills. **Bonus Skills** - AWS services (SageMaker, ECS/EKS). - Retrieval & recommendation algorithm expertise. - Low‑latency, high‑scale ML deployment experience. - Familiarity with KServe, Kubeflow Pipelines, or Airflow DAGs. - Interest in improving ML platform tooling. **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Data Science, or related field. - No mandatory certifications, but evidence of relevant coursework or training in ML/DL is preferred.

Company Name: Leboncoin.fr
Job Title: Machine Learning Engineer (F/N/H)
Job Description: **Job title** Machine Learning Engineer (F/N/H) **Role Summary** Engineering end‑to‑end machine learning features that automate and improve the listing‑submission process. Work through discovery, modeling, deployment, and monitoring for a high‑traffic marketplace, with a balanced focus on model development and MLOps. **Expectations** - 8+ years in a Machine Learning Engineer role or equivalent. - Mastery of Python and at least one DL framework (PyTorch, TensorFlow). - Proven experience shipping models into production, including NLP, Computer Vision, and GenAI/LLM. - Strong background in CI/CD, testing, and code‑review practices. - Self‑directed learner, collaborative team player, comfortable with French and English communication. - Bonus: experience with AWS, MLflow, Kubeflow, Airflow, KServe, and a passion for platform improvement. **Key Responsibilities** - Collaborate with product teams to identify business needs and define ML features. - Design, train, and refine models (NLP, CV, GenAI) to meet specified goals. - Build, test, and deploy pipelines using modern ML infrastructure, ensuring scalability and reliability. - Monitor model performance, troubleshoot drift, and iterate on improvements. - Contribute to engineering best practices: unit tests, CI/CD, documentation, pair programming, and code reviews. - Share knowledge and mentor peers on ML and engineering culture. **Required Skills** - Python programming, PyTorch/TensorFlow, scikit‑learn. - Production‑grade ML deployment, model serving, and monitoring. - Deep learning fundamentals in NLP & Computer Vision. - Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, KServe). - Automation, CI/CD, and version control best practices. - Strong analytical and problem‑solving abilities. - Effective communication in French and English. **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related technical field (equivalent experience will be considered). - Certifications in ML/DL or MLOps (e.g., AWS Certified Machine Learning, TensorFlow Developer) are a plus.