MYM

3 Jobs

516 Employees

About the Company

Started in 2019 by Gaspard Hafner and Pierre Garonnaire, MYM is the first French and European fansite made for creators.

Being part of the MYM adventure means joining a French company on a mission to become the number one fansite in the world for content creators.

A few key numbers about MYM:
- 60 team members (and we're just getting started!)
- 18 million users in 2025
- 167,000 certified creators and artists

The leading fansite in France and Europe for content creators

We offer all our team members a supportive, inclusive, and fulfilling work environment.

We’re hiring—come join us!

Listed Jobs

Company Name: MYM
Job Title: Backend Developer
Job Description: Job title: Backend Developer Role Summary: Design, develop, and maintain high‑performance backend services for a platform serving 19 M users, transitioning from a PHP Symfony monolith to a distributed microservice architecture in Golang. Expectations: Deliver robust, scalable code that meets peak loads of 10 000 RPS and processes 11 TB of transactional data. Maintain and evolve legacy PHP systems while writing new services in Go, ensuring data integrity across PostgreSQL, DynamoDB, and DocumentDB. Key Responsibilities: - Refactor and extend core business logic in PHP 8/Symfony 6.4, then rewrite critical services in Golang. - Architect new microservices with a focus on performance, reliability, and observability. - Write unit, integration, and end‑to‑end tests (Playwright) and enforce continuous monitoring. - Participate in code reviews and enforce team standards for quality and security. - Collaborate with product, design, and QA squads to align technical strategy with product goals. - Mentor teammates and contribute to a culture of technical excellence. Required Skills: - 5+ years as a backend software engineer in a high‑traffic environment. - Deep experience with PHP (Symfony) and Go (golang). - Proficient with relational (PostgreSQL) and NoSQL (DynamoDB, DocumentDB) databases. - Strong understanding of CI/CD, observability, deployment pipelines, and AWS infrastructure. - Ability to balance refactoring legacy code with building new microservices. - Excellent debugging, testing, and code‑review skills. Required Education & Certifications: - Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent experience). - No mandatory certifications, but knowledge of AWS, Docker, and modern test frameworks is preferred.

Paris, France

Hybrid

13-03-2026

Company Name: MYM
Job Title: Head of Data
Job Description: **Job title** Head of Data **Role Summary** Lead the data strategy and operations for a large online content platform, bridging data engineering, analytics, and machine learning. Own the architecture of the lakehouse environment, data governance, and the end-to-end analytics stack, while driving data‑enabled product decisions and innovation. **Expectations** - Deliver scalable and reliable data infrastructure for ~19 M users and 130k DAU. - Mentor and grow a high-performing team of analytics and ML engineers. - Demonstrate measurable impact on key business metrics (Revenue, ARR, MRR, LTV, user acquisition & retention). - Represent data strategy to executive stakeholders and promote a self‑service analytic culture. **Key Responsibilities** - Define and enforce technical strategy for lakehouse architecture, CDP integration, and tracking. - Establish coding standards (SQL, DBT), conduct code reviews, and maintain data quality. - Design and manage comprehensive tracking plans; ensure full feature coverage. - Collaborate with product and executive teams to translate data insights into product decisions. - Recruit, interview, mentor, and develop talent in analytics and machine learning. - Monitor operational metrics: FinOps (AWS cost), pipeline performance, data reliability. - Lead implementation of recommender systems, deep‑learning models, and generative AI solutions. - Evangelise data‑driven practices across the organization and host knowledge‑sharing sessions. - Present advanced analytics, cohort studies, and KPI dashboards to stakeholders. **Required Skills** - Leadership & people management of data analytics & ML teams. - Architecture & operation of high‑volume lakehouse data platforms. - Deep expertise in SQL, DBT, and modern data warehouses (AWS Glue/Athena, Redshift, Snowflake). - Strong foundation in descriptive & inferential statistics, A/B testing, and predictive modeling. - Experience with machine learning model production, recommender systems, and generative AI. - Proficiency with AWS services, Python, and BI tools (e.g., Looker, Tableau). - Budget stewardship and FinOps best practices. - Excellent communication and stakeholder management. **Required Education & Certifications** - Bachelor’s (or Master’s) degree in Computer Science, Data Science, Statistics, or related field. - Relevant certifications: AWS Certified Data Analytics, AWS Certified Machine Learning, or similar. - Continuous professional development in emerging data technologies and methodologies.

Paris, France

Hybrid

13-03-2026

Company Name: MYM
Job Title: Analytics Engineer
Job Description: Job Title: Analytics Engineer Role Summary: Build and scale a data warehouse that provides a single source of truth for 19 million users and 130 k DAU, enabling Product, Growth, and Finance teams to derive insights and drive decisions. Own the end‑to‑end data lifecycle—ingestion, transformation, quality, documentation, and reverse ETL—and serve as the liaison between squads and the data platform. Expectations: Deliver production‑ready data pipelines, secure data quality, and efficient data models. Design tracking regimes, support real‑time processing, and create advanced predictive models and alerts. Collaborate closely with Product Managers, Backend, and Data teams to define data strategy and provide actionable insights to stakeholders. Key Responsibilities: * Design, implement, and maintain scalable data models using SQL and DBT. * Develop data ingestion, transformation, and reverse‑ETL pipelines across high‑traffic sources. * Define and manage end‑to‑end tracking plans for product features. * Deploy solutions for real‑time analytics, self‑service dashboards, and CDP integration. * Implement data quality, documentation, and versioning best practises. * Create and monitor macro KPIs (Revenue, ARR, MRR, Margin, LTV) and marketing mix metrics. * Build predictive alerting and scoring models for user churn and subscription potential. * Conduct cohort, funnel, and usage analytics to inform product evolution. * Present evidence‑based insights to stakeholders and champion data‑driven decisions. Required Skills: * 3‑5 years experience as an Analytics Engineer in AdTech/MarTech or high‑traffic environments. * Advanced SQL and deep expertise with DBT. * Strong data‑modeling skills; experience building scalable architectures. * Python programming and familiarity with AWS services (Redshift, Spectrum). * Knowledge of tracking, CDP, data marketing, AB testing, and product analytics. * Proficiency in statistics, predictive analytics, and BI tools (e.g., Looker, Tableau). * Ability to optimise high‑volume data pipelines and work with DevOps principles. Required Education & Certifications: * Bachelor’s degree in Computer Science, Data Science, Information Systems, or related field. * Optional certifications: AWS Certified Big Data – Specialty, Google Data Analytics Professional, or similar.