THE ROLE & THE TEAM
We are opening a new Engineering Manager role in AI Innovation to reflect our growing scope and transition from experimentation to scalable production-grade AI capabilities. This is a high-impact leadership role where you will bridge modern AI (LLM-powered experiences automation and decision support) with reliable backend engineering and measurable business value.
You will lead a team building AI-enabled products and platform capabilities used across consumer and internal journeys. We operate high-throughput services in a B2C environment and focus on shipping AI features that are safe observable and cost-efficient.
INCLUSIVE BY DESIGN
At Zalando our vision is to be inclusive by design. And this vision starts with our hiring - we do not discriminate on the basis of gender identity sexual orientation personal expression ethnicity religious belief or disability status. You are welcome to leave out your picture age or marital status from your application. We only assess candidates on their qualifications and merit.
We want to provide you with a great candidate experience. Feel free to inform us of any accommodations you may need so we can best support you throughout the hiring - our diversity & inclusion strategy: employee resource groups: WED LOVE YOU TO DO (AND LOVE DOING)
Define the blueprint: Shape strategy and execution principles for turning AI opportunities into scalable capabilities (from prototypes to platform and product features).
Deliver measurable impact: Drive end-to-end delivery of AI-enabled experiences with clear outcomes (conversion CSAT productivity cost) and trustworthy measurement.
Engineer the product logic: Build the decisioning and orchestration that determines what the user sees and why (assistant flows automation steps ranking/selection fallbacks).
Integrate assistant frameworks: Bring assistants into real systems by integrating orchestration tool/function calling retrieval (RAG) and knowledge sources with strong security boundaries.
Build for scale and reliability: Own high-load real-time APIs and event-driven services (queues/streams caching rate limiting resilience patterns).
Operational excellence: Take accountability for SLOs 24/7 readiness incident response and on-call maturity for critical services.
Responsible AI by design: Implement guardrails for privacy safety and compliance; establish evaluation and quality gates (offline tests online A/B experimentation).
Grow people and culture: Hire coach and develop engineers; foster a culture of ownership feedback and engineering excellence.
WED LOVE TO MEET YOU IF YOU HAVE...
Proven Engineering Leadership: Significant experience as an Engineering Manager or a Technical Lead with direct people management responsibilities. A track record of building developing and retaining high-performing healthy engineering teams.
Strong backend foundation: You have built and operated distributed systems at scale (microservices cloud-native architectures CI/CD reliability patterns message queues/streams).
Comfortable with JVM and modern stacks: You are familiar with JVM-based backends (e.g. Java/Kotlin/Scala) and/or Python and you can reason about APIs data stores and infrastructure.
AI product engineering mindset: You can translate AI possibilities into shippable software and you understand the difference between demos and production systems.
Familiar (not expert) in ML/LLM fundamentals: You do not need advanced ML expertise but you understand concepts like embeddings vector search RAG evaluation/metrics prompt and workflow design latency/cost tradeoffs and experimentation.
You value observability: You use metrics/logs/tracing define SLOs and build systems that are diagnosable and supportable.
You are a systems thinker and collaborator: You can hold context across teams and codebases align stakeholders and make pragmatic tradeoffs.
OUR OFFER
Zalando provides a range of benefits heres an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer.
Employee shares program
40% off fashion and beauty products sold and shipped by Zalando 30% off Zalando Lounge discounts from external partners
2 paid volunteering days a year
Hybrid working model with up to 60% remote per week
Work from abroad for up to 30 working days a year
27 days of vacation a year to start
Relocation assistance available (subject to prior agreement)
Family services including counseling and support
Health and wellbeing options (including Gympass)
Mental health support and coaching available
Drive your development through our training platform and biannual peer-to-peer review
Learn all about Zalando and our values here: Experience:
Manager
THE ROLE & THE TEAMWe are opening a new Engineering Manager role in AI Innovation to reflect our growing scope and transition from experimentation to scalable production-grade AI capabilities. This is a high-impact leadership role where you will bridge modern AI (LLM-powered experiences automation a...
THE ROLE & THE TEAM
We are opening a new Engineering Manager role in AI Innovation to reflect our growing scope and transition from experimentation to scalable production-grade AI capabilities. This is a high-impact leadership role where you will bridge modern AI (LLM-powered experiences automation and decision support) with reliable backend engineering and measurable business value.
You will lead a team building AI-enabled products and platform capabilities used across consumer and internal journeys. We operate high-throughput services in a B2C environment and focus on shipping AI features that are safe observable and cost-efficient.
INCLUSIVE BY DESIGN
At Zalando our vision is to be inclusive by design. And this vision starts with our hiring - we do not discriminate on the basis of gender identity sexual orientation personal expression ethnicity religious belief or disability status. You are welcome to leave out your picture age or marital status from your application. We only assess candidates on their qualifications and merit.
We want to provide you with a great candidate experience. Feel free to inform us of any accommodations you may need so we can best support you throughout the hiring - our diversity & inclusion strategy: employee resource groups: WED LOVE YOU TO DO (AND LOVE DOING)
Define the blueprint: Shape strategy and execution principles for turning AI opportunities into scalable capabilities (from prototypes to platform and product features).
Deliver measurable impact: Drive end-to-end delivery of AI-enabled experiences with clear outcomes (conversion CSAT productivity cost) and trustworthy measurement.
Engineer the product logic: Build the decisioning and orchestration that determines what the user sees and why (assistant flows automation steps ranking/selection fallbacks).
Integrate assistant frameworks: Bring assistants into real systems by integrating orchestration tool/function calling retrieval (RAG) and knowledge sources with strong security boundaries.
Build for scale and reliability: Own high-load real-time APIs and event-driven services (queues/streams caching rate limiting resilience patterns).
Operational excellence: Take accountability for SLOs 24/7 readiness incident response and on-call maturity for critical services.
Responsible AI by design: Implement guardrails for privacy safety and compliance; establish evaluation and quality gates (offline tests online A/B experimentation).
Grow people and culture: Hire coach and develop engineers; foster a culture of ownership feedback and engineering excellence.
WED LOVE TO MEET YOU IF YOU HAVE...
Proven Engineering Leadership: Significant experience as an Engineering Manager or a Technical Lead with direct people management responsibilities. A track record of building developing and retaining high-performing healthy engineering teams.
Strong backend foundation: You have built and operated distributed systems at scale (microservices cloud-native architectures CI/CD reliability patterns message queues/streams).
Comfortable with JVM and modern stacks: You are familiar with JVM-based backends (e.g. Java/Kotlin/Scala) and/or Python and you can reason about APIs data stores and infrastructure.
AI product engineering mindset: You can translate AI possibilities into shippable software and you understand the difference between demos and production systems.
Familiar (not expert) in ML/LLM fundamentals: You do not need advanced ML expertise but you understand concepts like embeddings vector search RAG evaluation/metrics prompt and workflow design latency/cost tradeoffs and experimentation.
You value observability: You use metrics/logs/tracing define SLOs and build systems that are diagnosable and supportable.
You are a systems thinker and collaborator: You can hold context across teams and codebases align stakeholders and make pragmatic tradeoffs.
OUR OFFER
Zalando provides a range of benefits heres an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer.
Employee shares program
40% off fashion and beauty products sold and shipped by Zalando 30% off Zalando Lounge discounts from external partners
2 paid volunteering days a year
Hybrid working model with up to 60% remote per week
Work from abroad for up to 30 working days a year
27 days of vacation a year to start
Relocation assistance available (subject to prior agreement)
Family services including counseling and support
Health and wellbeing options (including Gympass)
Mental health support and coaching available
Drive your development through our training platform and biannual peer-to-peer review
Learn all about Zalando and our values here: Experience:
Manager
View more
View less