Vestiaire Collective - Engineering Manager
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Requirements
• 5+ years of experience as a software engineer (backend, frontend or full stack), and 3+ years in a hands-on management or technical leadership role. • You have a proven track record of building high-traffic, user-facing products. You are comfortable designing distributed systems and managing real-time data pipelines that power search and recommendation engines. • Proven track record of hiring, retaining and mentoring senior engineers, and building high-performing teams. • Strong communication skills, with the ability to navigate ambiguity and align cross-functional stakeholders (technical and non-technical) around shared company goals. • Prior experience scaling E-commerce or Marketplace platforms • Prior exposure to Machine Learning Engineering (MLOps) and collaborating closely with Data Scientists to integrate ML solutions into production. • Languages: Golang, Python, TypeScript, Swift, Kotlin • Data & Infrastructure: OpenSearch, Kafka, Redis, Airflow, MariaDB AWS, Kubernetes, Terraform, Ansible • Data & Analytics: Snowflake, Snowplow, Tableau • Tooling: Github, Jira, OpenAPI
Responsibilities
• Lead the end-to-end execution of the technical roadmap, delivering high-quality, scalable Discovery features. • Collaborate with cross-functional partners (Product, Design, Marketing, Merchandising, CRM, Data) to align business priorities, user value, and technical feasibility. • Bridge the gap between software engineering and data science by guiding your backend engineers in applying Machine Learning Engineering practices to deploy and scale ML models in production. • Manage and mentor a cross-functional squad of 6+ engineers. You will drive their professional growth through tailored coaching, impactful 1:1s, and clear career development plans, ensuring every specialist feels supported within a unified team culture. • Actively contribute to technical discussions, system design and architectural decisions. • Drive operational excellence and foster a healthy engineering culture by championing automation, code quality, observability, and continuous improvement.
Benefits
• A meaningful job with an impact on the way people consume fashion and promote sustainability