# Senior Engineering Manager

[Vestiairecollective](https://gurify.com/jobs?q=Vestiairecollective) · Berlin · Posted yesterday

Senior

[Engineering Manager](https://gurify.com/jobs/engineering-manager)

[Apply on the original posting → (opens in a new tab)](https://jobs.lever.co/vestiairecollective/c0cba481-85fb-417e-beae-43f79913423b)

## 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
LanguagesGolang, Python, TypeScript, Swift, Kotlin
Data & InfrastructureOpenSearch, Kafka, Redis, Airflow, MariaDB AWS, Kubernetes, Terraform, Ansible
Data & AnalyticsSnowflake, Snowplow, Tableau, Streamlit, Dust
ToolingGithub, Jira, OpenAPI,

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
LanguagesGolang, Python, TypeScript, Swift, Kotlin
Data & InfrastructureOpenSearch, Kafka, Redis, Airflow, MariaDB AWS, Kubernetes, Terraform, Ansible
Data & AnalyticsSnowflake, Snowplow, Tableau, Streamlit, Dust
ToolingGithub, 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.

**Live in Vestiairecollective’s hiring system.** Read from the company's own applicant tracking system, not reposted from a job board — so it's a real, open requisition rather than an ad that outlived the role.

We remove it as soon as it disappears at source.

## More jobs like this

- UP [Solutions Engineering Manager- Nordics and Dach](https://gurify.com/job/solutions-engineering-manager-nordics-and-dach-at-upwind-c02e775b1623) Upwind · Berlin, Germany · last week
- DA [AI Engineering Manager (m/f/d)](https://gurify.com/job/ai-engineering-manager-m-f-d-at-dataguard-96da297c4837) Dataguard · Munich · last week
- NE [Senior Engineering Manager, Financial Experience](https://gurify.com/job/senior-engineering-manager-financial-experience-at-nelly-17e61b0a7a23) Nelly · Berlin · 5 days ago
- BU [Engineering Manager (f/m/d)](https://gurify.com/job/engineering-manager-f-m-d-at-bunch-3c18b88fe208) Bunch · Berlin · 2 weeks ago
- DE [Forward Deployed Engineering Manager](https://gurify.com/job/forward-deployed-engineering-manager-at-deepsetai-5f4635328603) Deepsetai · Berlin · 2 weeks ago
- BU [Engineering Manager (f/m/d)](https://gurify.com/job/engineering-manager-f-m-d-at-bunch-75d2bd712c67) Bunch · Berlin · 2 weeks ago

```json
{"@context":"https://schema.org/","@type":"JobPosting","title":"Senior Engineering Manager","description":"\u003Cp\u003EVestiaire 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.\u003Cbr /\u003E\u0026#160;\u003Cbr /\u003EWe currently have a diverse global team of 600 employees representing more than 50 nationalities. Our values are Activism, Transparency, Dedication and Greatness and Collective.\u003C/p\u003E\u003Cp\u003EThe role\u003Cbr /\u003EVestiaire Collective is looking for a Berlin-based\u0026#160; Senior Engineering Manager to lead our cross-hub Discovery team across Berlin and Paris.\u003Cbr /\u003EThe 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.\u003Cbr /\u003EAs 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.\u003Cbr /\u003EReporting 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.\u003Cbr /\u003EWhat you\u2019ll do\u003Cbr /\u003ELead the end-to-end execution of the technical roadmap, delivering high-quality, scalable Discovery features.\u0026#160;\u003Cbr /\u003ECollaborate 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.\u003Cbr /\u003EDrive 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.\u003Cbr /\u003EAct 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\u0026#160;\u003Cbr /\u003EManage 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.\u003Cbr /\u003EActively contribute to technical discussions, system design and architectural decisions.\u003Cbr /\u003EDrive operational excellence and foster a healthy engineering culture by championing automation, code quality, observability, and continuous improvement.\u003C/p\u003E\u003Cp\u003EWho you are\u003Cbr /\u003E5\u002B years of experience in software or machine learning engineering, with 3\u002B years in an Engineering Management or technical leadership role.\u0026#160;\u003Cbr /\u003EDomain experience in Search \u0026amp; 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.\u003Cbr /\u003EYou 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.\u003Cbr /\u003EProven track record of hiring, retaining and mentoring senior engineers, and building high-performing teams.\u003Cbr /\u003EStrong communication skills and executive presence. You thrive in a high-accountability culture, comfortably navigating ambiguity, and aligning cross-functional stakeholders around shared company goals.\u0026#160;\u003Cbr /\u003EOur tech stack\u003Cbr /\u003ELanguagesGolang, Python, TypeScript, Swift, Kotlin\u003Cbr /\u003EData \u0026amp; InfrastructureOpenSearch, Kafka, Redis, Airflow, MariaDB\u0026#160; AWS, Kubernetes, Terraform, Ansible\u003Cbr /\u003EData \u0026amp; AnalyticsSnowflake, Snowplow, Tableau, Streamlit, Dust\u003Cbr /\u003EToolingGithub, Jira, OpenAPI,\u003C/p\u003E\u003Cp\u003EThe role\u003Cbr /\u003EVestiaire Collective is looking for a Berlin-based\u0026#160; Senior Engineering Manager to lead our cross-hub Discovery team across Berlin and Paris.\u003Cbr /\u003EThe 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.\u003Cbr /\u003EAs 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.\u003Cbr /\u003EReporting 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.\u003Cbr /\u003EWhat you\u2019ll do\u003Cbr /\u003ELead the end-to-end execution of the technical roadmap, delivering high-quality, scalable Discovery features.\u0026#160;\u003Cbr /\u003ECollaborate 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.\u003Cbr /\u003EDrive 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.\u003Cbr /\u003EAct 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\u0026#160;\u003Cbr /\u003EManage 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.\u003Cbr /\u003EActively contribute to technical discussions, system design and architectural decisions.\u003Cbr /\u003EDrive operational excellence and foster a healthy engineering culture by championing automation, code quality, observability, and continuous improvement.\u003C/p\u003E\u003Cp\u003EWho you are\u003Cbr /\u003E5\u002B years of experience in software or machine learning engineering, with 3\u002B years in an Engineering Management or technical leadership role.\u0026#160;\u003Cbr /\u003EDomain experience in Search \u0026amp; 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.\u003Cbr /\u003EYou 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.\u003Cbr /\u003EProven track record of hiring, retaining and mentoring senior engineers, and building high-performing teams.\u003Cbr /\u003EStrong communication skills and executive presence. You thrive in a high-accountability culture, comfortably navigating ambiguity, and aligning cross-functional stakeholders around shared company goals.\u0026#160;\u003Cbr /\u003EOur tech stack\u003Cbr /\u003ELanguagesGolang, Python, TypeScript, Swift, Kotlin\u003Cbr /\u003EData \u0026amp; InfrastructureOpenSearch, Kafka, Redis, Airflow, MariaDB\u0026#160; AWS, Kubernetes, Terraform, Ansible\u003Cbr /\u003EData \u0026amp; AnalyticsSnowflake, Snowplow, Tableau, Streamlit, Dust\u003Cbr /\u003EToolingGithub, Jira, OpenAPI,\u003C/p\u003E\u003Cp\u003EWhat we offer\u003Cbr /\u003ECompetitive compensation and 28 days of paid annual leave.\u003Cbr /\u003EHealth and wellness support through Urban Sports Club.\u003Cbr /\u003EA BVG Job Ticket for public transport in Berlin.\u003Cbr /\u003ECorporate Benefits discounts of up to 40% with participating providers, including leisure activities and subscriptions.\u003Cbr /\u003EA company pension scheme to help you build additional retirement savings.\u003Cbr /\u003EInvestment in your learning and growth, with the opportunity to shape how millions of people discover pre-loved fashion.\u003Cbr /\u003ETwo days to volunteer with an organisation of your choice through our Two Days to Help programme.\u003Cbr /\u003EA global team representing more than 50 nationalities, working together to make fashion more circular.\u003Cbr /\u003E\u0026#160;\u003Cbr /\u003EEqual opportunities at Vestiaire Collective\u003Cbr /\u003EVestiaire 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\u2019t meet every requirement. We value the different experiences and perspectives people bring to our teams.\u003Cbr /\u003EBeware of recruitment scams\u003Cbr /\u003EVestiaire 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.\u003Cbr /\u003EIf you receive a suspicious message, please report it to talentacquisition@vestiairecollective.com.\u003Cbr /\u003EWe 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\u2019d like more information about how we process your data, please contact us.\u003C/p\u003E","identifier":{"@type":"PropertyValue","name":"Gurify","value":"senior-engineering-manager-at-vestiairecollective-31ef86064ff3"},"url":"https://gurify.com/job/senior-engineering-manager-at-vestiairecollective-31ef86064ff3","datePosted":"2026-11-10","validThrough":"2026-12-26T23:59:59Z","hiringOrganization":{"@type":"Organization","name":"Vestiairecollective","sameAs":"https://jobs.lever.co/vestiairecollective"},"directApply":false,"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressCountry":"DE","addressLocality":"Berlin"}}}
```

```json
{"@context":"https://schema.org/","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Jobs","item":"https://gurify.com/jobs"},{"@type":"ListItem","position":2,"name":"Germany","item":"https://gurify.com/jobs/germany"},{"@type":"ListItem","position":3,"name":"Senior Engineering Manager","item":"https://gurify.com/job/senior-engineering-manager-at-vestiairecollective-31ef86064ff3"}]}
```