Dein persönlicher KI-Karriere-Agent
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- 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
Attraktive Vergütung
- Employee shares program
Mitarbeiterrabatte
- 40% off fashion and beauty products
- 30% off Zalando Lounge
- Discounts from external partners
Sinnstiftende Arbeit
- 2 paid volunteering days
Flexibles Arbeiten
- Hybrid working model
- Up to 60% remote per week
Workation & Sabbatical
- Work from abroad for up to 30 days
Mehr Urlaubstage
- 27 days of vacation
Sonstige Vorteile
- Relocation assistance
Familienfreundlichkeit
- Family services
Gesundheits- & Fitnessangebote
- Health and wellbeing options
- Gympass
Mentale Gesundheitsförderung
- Mental health support
- Mental health coaching
Weiterbildungsangebote
- Training platform
Mentoring & Coaching
- Biannual peer-to-peer review
Noch nicht perfekt?
- ZalandoVollzeitmit HomeofficeManagementBerlin
- Doctolib
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Vollzeitmit HomeofficeSeniorBerlin - Aroundhome
Engineering Manager - AI & Product Engineering(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- 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
Attraktive Vergütung
- Employee shares program
Mitarbeiterrabatte
- 40% off fashion and beauty products
- 30% off Zalando Lounge
- Discounts from external partners
Sinnstiftende Arbeit
- 2 paid volunteering days
Flexibles Arbeiten
- Hybrid working model
- Up to 60% remote per week
Workation & Sabbatical
- Work from abroad for up to 30 days
Mehr Urlaubstage
- 27 days of vacation
Sonstige Vorteile
- Relocation assistance
Familienfreundlichkeit
- Family services
Gesundheits- & Fitnessangebote
- Health and wellbeing options
- Gympass
Mentale Gesundheitsförderung
- Mental health support
- Mental health coaching
Weiterbildungsangebote
- Training platform
Mentoring & Coaching
- Biannual peer-to-peer review
Über das Unternehmen
Zalando
Branche
IT
Beschreibung
The company is an exclusive online shopping club for fashion and lifestyle products across Europe, offering daily sales campaigns.
Noch nicht perfekt?
- Zalando
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Engineering Manager - AI(m/w/x)
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Engineering Manager - Content Solutions(m/w/x)
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Head of Applied Science, Data Engineering & Analytics - Customer Care Technology(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Aroundhome
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Vollzeitmit HomeofficeSeniorBerlin