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Engineering Manager - AI Innovation(m/w/x)
Shaping AI strategy and driving delivery of AI-enabled products for consumer journeys. Proven engineering leadership and direct people management experience required. Employee shares program and 40% off fashion and beauty products.
Requirements
- Proven engineering leadership experience
- Direct people management experience
- Track record of building high-performing teams
- Strong backend foundation
- Experience with distributed systems at scale
- Experience with microservices architectures
- Experience with cloud-native architectures
- Experience with CI/CD
- Experience with reliability patterns
- Experience with message queues/streams
- Familiarity with JVM-based backends
- Familiarity with Python
- Ability to reason about APIs
- Ability to reason about data stores
- Ability to reason about infrastructure
- AI product engineering mindset
- Ability to translate AI possibilities into software
- Understanding of production systems
- Familiarity with ML/LLM fundamentals
- Understanding of embeddings
- Understanding of vector search
- Understanding of RAG
- Understanding of evaluation/metrics
- Understanding of prompt and workflow design
- Understanding of latency/cost tradeoffs
- Understanding of experimentation
- Value observability
- Use of metrics/logs/tracing
- Definition of SLOs
- Building diagnosable systems
- Building supportable systems
- Systems thinker
- Collaborator
- Ability to hold context across teams
- Ability to align stakeholders
- Ability to make pragmatic tradeoffs
Tasks
- Shape AI strategy and execution principles
- Drive delivery of AI-enabled experiences
- Build decisioning and orchestration logic
- Integrate assistant frameworks securely
- Develop high-load, real-time APIs
- Ensure operational excellence and readiness
- Implement responsible AI practices
- Hire and develop engineering talent
- Foster a culture of ownership and excellence
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- microservices
- cloud-native architectures
- CI/CD
- message queues/streams
- JVM
- Java
- Kotlin
- Scala
- Python
- APIs
- ML
- LLM
- embeddings
- vector search
- RAG
- metrics
- logs
- tracing
- SLOs
Benefits
Competitive Pay
- Employee shares program
Corporate Discounts
- 40% off fashion and beauty products
- 30% off Zalando Lounge
- Discounts from external partners
Purpose-Driven Work
- 2 paid volunteering days
Flexible Working
- Hybrid working model
- Up to 60% remote per week
Workation & Sabbatical
- Work from abroad for up to 30 days
More Vacation Days
- 27 days of vacation
Other Benefits
- Relocation assistance
Family Support
- Family services
Healthcare & Fitness
- Health and wellbeing options
- Gympass
Mental Health Support
- Mental health support
- Mental health coaching
Learning & Development
- Training platform
Mentorship & Coaching
- Biannual peer-to-peer review
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Engineering Manager - AI Innovation(m/w/x)
Shaping AI strategy and driving delivery of AI-enabled products for consumer journeys. Proven engineering leadership and direct people management experience required. Employee shares program and 40% off fashion and beauty products.
Requirements
- Proven engineering leadership experience
- Direct people management experience
- Track record of building high-performing teams
- Strong backend foundation
- Experience with distributed systems at scale
- Experience with microservices architectures
- Experience with cloud-native architectures
- Experience with CI/CD
- Experience with reliability patterns
- Experience with message queues/streams
- Familiarity with JVM-based backends
- Familiarity with Python
- Ability to reason about APIs
- Ability to reason about data stores
- Ability to reason about infrastructure
- AI product engineering mindset
- Ability to translate AI possibilities into software
- Understanding of production systems
- Familiarity with ML/LLM fundamentals
- Understanding of embeddings
- Understanding of vector search
- Understanding of RAG
- Understanding of evaluation/metrics
- Understanding of prompt and workflow design
- Understanding of latency/cost tradeoffs
- Understanding of experimentation
- Value observability
- Use of metrics/logs/tracing
- Definition of SLOs
- Building diagnosable systems
- Building supportable systems
- Systems thinker
- Collaborator
- Ability to hold context across teams
- Ability to align stakeholders
- Ability to make pragmatic tradeoffs
Tasks
- Shape AI strategy and execution principles
- Drive delivery of AI-enabled experiences
- Build decisioning and orchestration logic
- Integrate assistant frameworks securely
- Develop high-load, real-time APIs
- Ensure operational excellence and readiness
- Implement responsible AI practices
- Hire and develop engineering talent
- Foster a culture of ownership and excellence
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- microservices
- cloud-native architectures
- CI/CD
- message queues/streams
- JVM
- Java
- Kotlin
- Scala
- Python
- APIs
- ML
- LLM
- embeddings
- vector search
- RAG
- metrics
- logs
- tracing
- SLOs
Benefits
Competitive Pay
- Employee shares program
Corporate Discounts
- 40% off fashion and beauty products
- 30% off Zalando Lounge
- Discounts from external partners
Purpose-Driven Work
- 2 paid volunteering days
Flexible Working
- Hybrid working model
- Up to 60% remote per week
Workation & Sabbatical
- Work from abroad for up to 30 days
More Vacation Days
- 27 days of vacation
Other Benefits
- Relocation assistance
Family Support
- Family services
Healthcare & Fitness
- Health and wellbeing options
- Gympass
Mental Health Support
- Mental health support
- Mental health coaching
Learning & Development
- Training platform
Mentorship & Coaching
- Biannual peer-to-peer review
About the Company
Zalando
Industry
IT
Description
The company is an exclusive online shopping club for fashion and lifestyle products across Europe, offering daily sales campaigns.
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