The AI Job Search Engine
Engineering Manager - Search & Discovery(m/w/x)
Cross-hub leadership of Berlin and Paris teams for high-traffic marketplace features and data pipelines. Proven track record in scaling distributed systems and mentoring senior engineers required. Two days annual volunteer leave, dedicated learning and growth budget.
Requirements
- 5+ years software engineering experience
- 3+ years management or leadership experience
- Experience building high-traffic user-facing products
- Distributed systems and data pipeline design
- Hiring, retaining, and mentoring senior engineers
- Building high-performing teams
- Strong communication and stakeholder alignment skills
- Experience scaling E-commerce or Marketplace platforms
- Exposure to MLOps and ML integration
Tasks
- Lead a cross-hub Discovery team across Berlin and Paris
- Execute the Discovery roadmap end-to-end
- Deliver high-quality, scalable Discovery features
- Collaborate with Product, Design, Marketing, Merchandising, and Data partners
- Align business priorities with user value and technical feasibility
- Integrate search ranking and personalization algorithms into the user experience
- Guide backend engineers in applying Machine Learning Engineering practices
- Deploy and scale ML models in production
- Manage and mentor a cross-functional squad of 6+ engineers
- Conduct impactful 1:1s and tailored coaching sessions
- Create and drive clear career development plans
- Foster a unified, autonomous, and product-oriented team culture
- Contribute to technical discussions and system design
- Lead architectural decisions for the Discovery platform
- Champion automation, code quality, and observability
- Drive operational excellence and continuous improvement
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Distributed systems
- Data pipelines
- Search engines
- Recommendation engines
- E-commerce platforms
- Marketplace platforms
- MLOps
- Machine Learning
Benefits
Purpose-Driven Work
- Meaningful and impactful work
- Career-defining work opportunity
- Two days volunteer leave
Informal Culture
- Globally diverse team
Learning & Development
- Learning and growth investment
Competitive Pay
- Competitive compensation
More Vacation Days
- 28 days paid time off
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Engineering Manager - Search & Discovery(m/w/x)
Cross-hub leadership of Berlin and Paris teams for high-traffic marketplace features and data pipelines. Proven track record in scaling distributed systems and mentoring senior engineers required. Two days annual volunteer leave, dedicated learning and growth budget.
Requirements
- 5+ years software engineering experience
- 3+ years management or leadership experience
- Experience building high-traffic user-facing products
- Distributed systems and data pipeline design
- Hiring, retaining, and mentoring senior engineers
- Building high-performing teams
- Strong communication and stakeholder alignment skills
- Experience scaling E-commerce or Marketplace platforms
- Exposure to MLOps and ML integration
Tasks
- Lead a cross-hub Discovery team across Berlin and Paris
- Execute the Discovery roadmap end-to-end
- Deliver high-quality, scalable Discovery features
- Collaborate with Product, Design, Marketing, Merchandising, and Data partners
- Align business priorities with user value and technical feasibility
- Integrate search ranking and personalization algorithms into the user experience
- Guide backend engineers in applying Machine Learning Engineering practices
- Deploy and scale ML models in production
- Manage and mentor a cross-functional squad of 6+ engineers
- Conduct impactful 1:1s and tailored coaching sessions
- Create and drive clear career development plans
- Foster a unified, autonomous, and product-oriented team culture
- Contribute to technical discussions and system design
- Lead architectural decisions for the Discovery platform
- Champion automation, code quality, and observability
- Drive operational excellence and continuous improvement
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Distributed systems
- Data pipelines
- Search engines
- Recommendation engines
- E-commerce platforms
- Marketplace platforms
- MLOps
- Machine Learning
Benefits
Purpose-Driven Work
- Meaningful and impactful work
- Career-defining work opportunity
- Two days volunteer leave
Informal Culture
- Globally diverse team
Learning & Development
- Learning and growth investment
Competitive Pay
- Competitive compensation
More Vacation Days
- 28 days paid time off
About the Company
Vestiaire Collective
Industry
Fashion
Description
The company is the leading global online marketplace for desirable pre-loved fashion, promoting the circular fashion movement.
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