Zalando
Engineering Manager - AI Innovation(m/w/x)
Full-timeWith HomeofficeSenior
Berlin
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ZAZalando
Engineering Manager(m/w/x)
Berlin
Full-timeWith Home OfficeSenior
AI/ML
Nejo AI Summary
Leading backend, fullstack, and ML/GenAI engineers at fashion e-commerce platform. Proven team building and performance management skills required. 27-30 days holiday, up to 60% remote.
Requirements
- Proven engineering leadership experience
- Track record of building, developing, retaining teams
- Setting clear expectations
- Providing candid feedback
- Managing performance
- Supporting engineer growth
- Leading teams through change and hiring
- Creating challenging and supportive environment
- Solid technical foundation
- Backend and distributed systems experience
- Cloud-native architectures experience
- Data-intensive applications experience
- Exposure to ML or applied science in production
- Understanding of ML/AI system lifecycle and trade-offs
- Product and business mindset
- Experience building customer-facing systems
- Understanding of technical decisions impact on metrics
- Strong architectural thinking
- Ability to navigate complex systems
- Defining direction with senior engineers
- Making pragmatic trade-offs
- Operational mindset
- Experience running reliable systems in production
- Production monitoring experience
- Incident handling experience
- Continuous improvement experience
- Clear communication skills
- Stakeholder management skills
- Ability to explain complex topics simply
- Ability to influence decisions
- Effective collaboration across teams
Tasks
- Lead and grow a diverse engineering team
- Mentor and empower backend, fullstack, and ML/GenAI engineers
- Create an inclusive, high-trust team environment
- Drive development of customer-facing and platform capabilities
- Influence acquisition, engagement, and conversion metrics
- Develop personalisation and CRM systems
- Build data and AI-powered features
- Define and evolve system architecture
- Collaborate with Principal Engineers on technical direction
- Balance development speed and quality
- Enable ML and LLM-based system production
- Build and operate data pipelines
- Integrate and evaluate machine learning models
- Ensure system reliability and scalability
- Maintain cost-awareness in system development
- Establish clear KPIs and SLOs
- Improve system observability
- Lead incident response for critical services
- Collaborate with Product, Data & AI, and other engineering teams
- Navigate cross-team dependencies
- Align on shared platforms and initiatives
- Communicate effectively with technical and non-technical stakeholders
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Kotlin
- Java
- Python
- AWS
Benefits
More Vacation Days
- 27-30 days of holiday
Purpose-Driven Work
- 2 paid volunteering days
Flexible Working
- Hybrid working model
- Up to 60% remote per week
Additional Allowances
- Work from abroad allowance
Competitive Pay
- Employee shares program
Corporate Discounts
- Employee discounts
Other Benefits
- Relocation assistance
Family Support
- Family services
Healthcare & Fitness
- Health and wellbeing options
Mental Health Support
- Mental health support
Learning & Development
- Training platform
Mentorship & Coaching
- Biannual peer-to-peer review
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Zalando and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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ZAZalando
Engineering Manager(m/w/x)
Berlin
Full-timeWith Home OfficeSenior
AI/ML
Nejo AI Summary
Leading backend, fullstack, and ML/GenAI engineers at fashion e-commerce platform. Proven team building and performance management skills required. 27-30 days holiday, up to 60% remote.
Requirements
- Proven engineering leadership experience
- Track record of building, developing, retaining teams
- Setting clear expectations
- Providing candid feedback
- Managing performance
- Supporting engineer growth
- Leading teams through change and hiring
- Creating challenging and supportive environment
- Solid technical foundation
- Backend and distributed systems experience
- Cloud-native architectures experience
- Data-intensive applications experience
- Exposure to ML or applied science in production
- Understanding of ML/AI system lifecycle and trade-offs
- Product and business mindset
- Experience building customer-facing systems
- Understanding of technical decisions impact on metrics
- Strong architectural thinking
- Ability to navigate complex systems
- Defining direction with senior engineers
- Making pragmatic trade-offs
- Operational mindset
- Experience running reliable systems in production
- Production monitoring experience
- Incident handling experience
- Continuous improvement experience
- Clear communication skills
- Stakeholder management skills
- Ability to explain complex topics simply
- Ability to influence decisions
- Effective collaboration across teams
Tasks
- Lead and grow a diverse engineering team
- Mentor and empower backend, fullstack, and ML/GenAI engineers
- Create an inclusive, high-trust team environment
- Drive development of customer-facing and platform capabilities
- Influence acquisition, engagement, and conversion metrics
- Develop personalisation and CRM systems
- Build data and AI-powered features
- Define and evolve system architecture
- Collaborate with Principal Engineers on technical direction
- Balance development speed and quality
- Enable ML and LLM-based system production
- Build and operate data pipelines
- Integrate and evaluate machine learning models
- Ensure system reliability and scalability
- Maintain cost-awareness in system development
- Establish clear KPIs and SLOs
- Improve system observability
- Lead incident response for critical services
- Collaborate with Product, Data & AI, and other engineering teams
- Navigate cross-team dependencies
- Align on shared platforms and initiatives
- Communicate effectively with technical and non-technical stakeholders
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Kotlin
- Java
- Python
- AWS
Benefits
More Vacation Days
- 27-30 days of holiday
Purpose-Driven Work
- 2 paid volunteering days
Flexible Working
- Hybrid working model
- Up to 60% remote per week
Additional Allowances
- Work from abroad allowance
Competitive Pay
- Employee shares program
Corporate Discounts
- Employee discounts
Other Benefits
- Relocation assistance
Family Support
- Family services
Healthcare & Fitness
- Health and wellbeing options
Mental Health Support
- Mental health support
Learning & Development
- Training platform
Mentorship & Coaching
- Biannual peer-to-peer review
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Zalando and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Zalando
Industry
Retail
Description
The company is an exclusive online shopping club for fashion and lifestyle products across Europe, offering daily sales campaigns.
Not a perfect match?
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