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Engineering Manager - Search (Consumer, Global Discovery)(m/w/x)
Leading search engineering squad, focusing on LLM integration for global discovery. Agentic engineering and search fundamentals experience required. 27 days holiday plus extra day, 1000 EUR educational budget.
Anforderungen
- Solid understanding of search and LLM systems
- Comfortable working with backend engineers in Go, Java, or Python
- Understanding of search fundamentals (inverted indexes, vector search, query parsing, relevance scoring)
- Experience leveraging LLMs for search improvement or driving conversational search projects
- Hands-on experience with Agentic Engineering
- Ability to drive SDLC transformation to fully Agentic
- Experience running predictable delivery processes
- Experience managing cross-team dependencies
- Experience ensuring service reliability for low-latency, high-throughput systems
- Experience with monitoring, on-call practices, and incident management
- Understanding of safe change rollouts and regression detection
- Experience mentoring engineers
- Experience fostering inclusion
- Experience giving structured feedback
- Experience building a positive, productive team environment
- Ability to grow engineers into senior technical roles
- Ability to create a culture of ownership
Aufgaben
- Lead and grow a high-performing engineering squad
- Own team health, engagement, and inclusion
- Ensure engineers have growth opportunities and clear career paths
- Develop engineers through regular 1:1s and feedback
- Manage engineer performance and set clear expectations
- Hire and onboard talent with backend and search skills
- Contribute to domain-wide recruiting efforts
- Own technical and delivery outcomes for services
- Deliver high-quality, maintainable services in Java
- Drive Agentic Engineering adoption
- Transform towards a fully Agentic SDLC
- Ensure reliable sprint execution
- Manage proactive risk management
- Communicate transparently with stakeholders
- Manage cross-squad dependencies
- Maintain service reliability through monitoring and alerting
- Respond to incidents
- Ensure on-call readiness
- Maintain runbooks and conduct blameless post-mortems
- Continuously improve delivery and operational health
- Improve cycle time and deployment frequency
- Manage safe reindexing rollouts
- Detect relevance regressions
- Translate product discovery goals into engineering work
- Set clear priorities for engineering tasks
- Collaborate with Data Science on experiments and A/B tests
- Measure relevance improvements using metrics like MRR, NDCG, and click-through rates
- Align the squad with business objectives
- Ensure improvements translate into measurable customer impact
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Go
- Java
- Python
- LLMs
Benefits
Mehr Urlaubstage
- 27 days holiday
- Extra holiday day
Sonstige Zulagen
- 1000 EUR educational budget
- Bicycle subsidy
- Digital meal vouchers
- Food vouchers
Weiterbildungsangebote
- Language courses
- Udemy Business platform access
Familienfreundlichkeit
- Parental support
Gesundheits- & Fitnessangebote
- Health checkups
- Yoga
- Gym subsidy
Mentale Gesundheitsförderung
- Meditation
Attraktive Vergütung
- Employee share purchase plan
Workation & Sabbatical
- Sabbatical bank
Öffi Tickets
- Public transportation ticket discount
Sonstige Vorteile
- Life insurance
- Accident insurance
- Interview accommodation support
- Pronoun sharing option
Betriebliche Altersvorsorge
- Corporate pension plan
Mitarbeiterrabatte
- Corporate discounts
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- EcosiaVollzeitmit HomeofficeSeniorBerlinab 105.000 / Jahr
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Engineering Manager - Search (Consumer, Global Discovery)(m/w/x)
Leading search engineering squad, focusing on LLM integration for global discovery. Agentic engineering and search fundamentals experience required. 27 days holiday plus extra day, 1000 EUR educational budget.
Anforderungen
- Solid understanding of search and LLM systems
- Comfortable working with backend engineers in Go, Java, or Python
- Understanding of search fundamentals (inverted indexes, vector search, query parsing, relevance scoring)
- Experience leveraging LLMs for search improvement or driving conversational search projects
- Hands-on experience with Agentic Engineering
- Ability to drive SDLC transformation to fully Agentic
- Experience running predictable delivery processes
- Experience managing cross-team dependencies
- Experience ensuring service reliability for low-latency, high-throughput systems
- Experience with monitoring, on-call practices, and incident management
- Understanding of safe change rollouts and regression detection
- Experience mentoring engineers
- Experience fostering inclusion
- Experience giving structured feedback
- Experience building a positive, productive team environment
- Ability to grow engineers into senior technical roles
- Ability to create a culture of ownership
Aufgaben
- Lead and grow a high-performing engineering squad
- Own team health, engagement, and inclusion
- Ensure engineers have growth opportunities and clear career paths
- Develop engineers through regular 1:1s and feedback
- Manage engineer performance and set clear expectations
- Hire and onboard talent with backend and search skills
- Contribute to domain-wide recruiting efforts
- Own technical and delivery outcomes for services
- Deliver high-quality, maintainable services in Java
- Drive Agentic Engineering adoption
- Transform towards a fully Agentic SDLC
- Ensure reliable sprint execution
- Manage proactive risk management
- Communicate transparently with stakeholders
- Manage cross-squad dependencies
- Maintain service reliability through monitoring and alerting
- Respond to incidents
- Ensure on-call readiness
- Maintain runbooks and conduct blameless post-mortems
- Continuously improve delivery and operational health
- Improve cycle time and deployment frequency
- Manage safe reindexing rollouts
- Detect relevance regressions
- Translate product discovery goals into engineering work
- Set clear priorities for engineering tasks
- Collaborate with Data Science on experiments and A/B tests
- Measure relevance improvements using metrics like MRR, NDCG, and click-through rates
- Align the squad with business objectives
- Ensure improvements translate into measurable customer impact
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Go
- Java
- Python
- LLMs
Benefits
Mehr Urlaubstage
- 27 days holiday
- Extra holiday day
Sonstige Zulagen
- 1000 EUR educational budget
- Bicycle subsidy
- Digital meal vouchers
- Food vouchers
Weiterbildungsangebote
- Language courses
- Udemy Business platform access
Familienfreundlichkeit
- Parental support
Gesundheits- & Fitnessangebote
- Health checkups
- Yoga
- Gym subsidy
Mentale Gesundheitsförderung
- Meditation
Attraktive Vergütung
- Employee share purchase plan
Workation & Sabbatical
- Sabbatical bank
Öffi Tickets
- Public transportation ticket discount
Sonstige Vorteile
- Life insurance
- Accident insurance
- Interview accommodation support
- Pronoun sharing option
Betriebliche Altersvorsorge
- Corporate pension plan
Mitarbeiterrabatte
- Corporate discounts
Über das Unternehmen
Delivery Hero
Branche
Food
Beschreibung
The company is a pioneering local delivery platform operating in over 70 countries, focused on delivering an amazing experience.
Noch nicht perfekt?
- Ecosia
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Vollzeitmit HomeofficeSeniorBerlinab 105.000 / Jahr - Vestiaire Collective
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Vollzeitmit HomeofficeManagementBerlin - Awin
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Vollzeitmit HomeofficeSeniorBerlin, Hannover, München - Doctolib
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Vollzeitmit HomeofficeManagementBerlin - Delivery Hero
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Vollzeitmit HomeofficeBerufserfahrenBerlin