Job Description

Vestiaire Collective is the leading global online marketplace for desirable pre-loved fashion. Our mission is to transform the fashion industry for a more sustainable future by empowering our community to promote the circular fashion movement. Vestiaire was founded in 2009 and is headquartered in Paris with offices in London, Berlin, New York, Singapore, Ho Chi Minh, and warehouses in Tourcoing (France), Crawley (UK), Hong Kong and New York.

We currently have a diverse global team of 600 employees representing more than 50 nationalities. Our values are Activism, Transparency, Dedication and Greatness and Collective.

The role

Vestiaire Collective is looking for a Berlin-based Senior Engineering Manager to lead our cross-hub Discovery team across Berlin and Paris.

The Discovery team plays a critical role in how buyers explore, discover and engage with our catalog. The team owns key user-facing surfaces such as search, browsing, merchandising exposure, and content-driven discovery, with the objective of helping buyers find the right items at the right time while balancing business, operational and brand considerations.

As an Engineering Manager, you will lead a comprehensive, cross-functional squad encompassing frontend, backend, machine learning, and data science to execute the Discovery roadmap end-to-end. You will work closely with Product, Design, Marketing, Merchandising and Data to deliver impactful features that improve user engagement, performance and scalability. Because our Discovery experience is heavily driven by search ranking and personalization algorithms, your squad will also actively integrate and rely on solutions built by our Data Scientists.

Reporting to the Director of Data Science and Engineering, you will combine people leadership, delivery ownership and technical contribution, while growing a strong, autonomous and product-oriented engineering team.

What you’ll do

• 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, effectively balancing a global and local portfolio.
• Drive the overarching Discovery Strategy, a key investment pillar for 2027, by partnering directly with leadership and cross-functional stakeholders. You will operate in a high-visibility, milestone-driven environment to ensure predictable, high-quality delivery.
• Act as the technical bridge between software engineering and machine learning, leveraging your cross-functional domain expertise across disciplines to build upon the multi-stage composable search stack
• Manage and mentor a unified squad of 9 members across software engineering and data science. 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.

Who you are

• 5+ years of experience in software or machine learning engineering, with 3+ years in an Engineering Management or technical leadership role.
• Domain experience in Search & Recommendation systems (bonus if E-commerce or Marketplace platforms) and experience in managing cross-functional squads to enable rapid onboarding and architectural alignment across disciplines.
• 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 and executive presence. You thrive in a high-accountability culture, comfortably navigating ambiguity, and aligning cross-functional stakeholders around shared company goals.

Our tech stack

Languages

Golang, Python, TypeScript, Swift, Kotlin

Data & Infrastructure

OpenSearch, Kafka, Redis, Airflow, MariaDB

AWS, Kubernetes, Terraform, Ansible

Data & Analytics

Snowflake, Snowplow, Tableau, Streamlit, Dust

Tooling

Github, Jira, OpenAPI,

What we offer

• Competitive compensation and 28 days of paid annual leave.
• Health and wellness support through Urban Sports Club.
• A BVG Job Ticket for public transport in Berlin.
• Corporate Benefits discounts of up to 40% with participating providers, including leisure activities and subscriptions.
• A company pension scheme to help you build additional retirement savings.
• Investment in your learning and growth, with the opportunity to shape how millions of people discover pre-loved fashion.
• Two days to volunteer with an organisation of your choice through our Two Days to Help programme.
• A global team representing more than 50 nationalities, working together to make fashion more circular.

Equal opportunities at Vestiaire Collective

Vestiaire Collective is an equal opportunity employer. We welcome applicants of all backgrounds and are committed to creating an inclusive workplace. If this role excites you, we encourage you to apply even if you don’t meet every requirement. We value the different experiences and perspectives people bring to our teams.

Beware of recruitment scams

Vestiaire Collective only contacts candidates from official email addresses ending in @vestiairecollective.com or from no-reply@hire.lever.co. We never send job offers through WhatsApp, Telegram or similar messaging apps, and we never ask candidates for payments or banking details during recruitment.

If you receive a suspicious message, please report it to talentacquisition@vestiairecollective.com.

We may use AI tools to support parts of our hiring process, such as reviewing applications, analysing CVs, assessing responses or flagging information in application materials that may need verification. These tools support our recruitment team. People make all final hiring decisions. If you’d like more information about how we process your data, please contact us.