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Engineering Manager(m/w/x)
Leading engineers shaping AI search strategy for a global tree planting platform at a non-profit focused on global reforestation. 5+ years shipping production software with AI/ML or data-intensive systems depth required. 30 vacation days, subsidized public transport, designated focus times.
Anforderungen
- Experience leading, managing, and mentoring engineers
- 5+ years experience shipping production software
- Technical depth in AI/ML or data-intensive systems
- Proficiency in web stack and cloud environments
- Ownership, pragmatism, and bias toward action
- Commitment to diversity and psychologically safe teams
Aufgaben
- Report directly to the CTO
- Lead engineers focused on AI search
- Partner with Product and Design counterparts
- Shape the AI search experience strategy
- Translate ambiguous problems into technical direction
- Ground LLM responses in structured data
- Improve response quality and trustworthiness
- Tailor outputs to specific user intents
- Guide architectural decisions for LLM integration
- Manage retrieval systems and evaluation pipelines
- Ensure operational excellence and system reliability
- Oversee the internal frontend framework stack
- Collaborate with other search teams
- Remove roadblocks and facilitate team decisions
- Conduct regular 1:1s and growth conversations
- Coach and mentor team members
- Review performance and manage equitable compensation
- Promote continuous learning in AI engineering
- Foster a collaborative and inclusive culture
Berufserfahrung
- 5 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- AI/ML engineering
- LLM-based systems
- Search
- Information retrieval
- Data-intensive systems
- Web stack
- Cloud environments
- Infrastructure-as-code
Benefits
Flexibles Arbeiten
- Flexible working hours
- Designated Focus Times
- Remote work options
Mehr Urlaubstage
- 30 vacation days
Öffi Tickets
- Subsidized public transport cards
Firmenfahrrad
- Bike inspection services
Weiterbildungsangebote
- Learning times
Team Events & Ausflüge
- Hack days
Sonstige Vorteile
- Online and physical libraries
Karriere- und Weiterentwicklung
- Continuous feedback
Noch nicht perfekt?
- DoctolibVollzeitmit HomeofficeManagementBerlin
- Rasa
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Engineering Manager(m/w/x)
Leading engineers shaping AI search strategy for a global tree planting platform at a non-profit focused on global reforestation. 5+ years shipping production software with AI/ML or data-intensive systems depth required. 30 vacation days, subsidized public transport, designated focus times.
Anforderungen
- Experience leading, managing, and mentoring engineers
- 5+ years experience shipping production software
- Technical depth in AI/ML or data-intensive systems
- Proficiency in web stack and cloud environments
- Ownership, pragmatism, and bias toward action
- Commitment to diversity and psychologically safe teams
Aufgaben
- Report directly to the CTO
- Lead engineers focused on AI search
- Partner with Product and Design counterparts
- Shape the AI search experience strategy
- Translate ambiguous problems into technical direction
- Ground LLM responses in structured data
- Improve response quality and trustworthiness
- Tailor outputs to specific user intents
- Guide architectural decisions for LLM integration
- Manage retrieval systems and evaluation pipelines
- Ensure operational excellence and system reliability
- Oversee the internal frontend framework stack
- Collaborate with other search teams
- Remove roadblocks and facilitate team decisions
- Conduct regular 1:1s and growth conversations
- Coach and mentor team members
- Review performance and manage equitable compensation
- Promote continuous learning in AI engineering
- Foster a collaborative and inclusive culture
Berufserfahrung
- 5 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- AI/ML engineering
- LLM-based systems
- Search
- Information retrieval
- Data-intensive systems
- Web stack
- Cloud environments
- Infrastructure-as-code
Benefits
Flexibles Arbeiten
- Flexible working hours
- Designated Focus Times
- Remote work options
Mehr Urlaubstage
- 30 vacation days
Öffi Tickets
- Subsidized public transport cards
Firmenfahrrad
- Bike inspection services
Weiterbildungsangebote
- Learning times
Team Events & Ausflüge
- Hack days
Sonstige Vorteile
- Online and physical libraries
Karriere- und Weiterentwicklung
- Continuous feedback
Über das Unternehmen
Ecosia
Branche
Other
Beschreibung
The company helps plant millions of trees where people and ecosystems need them most.
Noch nicht perfekt?
- Doctolib
Engineering Manager - AI(m/w/x)
Vollzeitmit HomeofficeManagementBerlin - Rasa
Engineering Manager(m/w/x)
VollzeitRemoteSeniorBerlin - Vestiaire Collective
Engineering Manager - Search & Discovery(m/w/x)
Vollzeitmit HomeofficeManagementBerlin - GetYourGuide
Engineering Manager, AI Platform(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenBerlin - Mercanis
Engineering Manager(m/w/x)
VollzeitRemoteSeniorBerlin