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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.
Requirements
- 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
Tasks
- 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
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- AI/ML engineering
- LLM-based systems
- Search
- Information retrieval
- Data-intensive systems
- Web stack
- Cloud environments
- Infrastructure-as-code
Benefits
Flexible Working
- Flexible working hours
- Designated Focus Times
- Remote work options
More Vacation Days
- 30 vacation days
Public Transport Subsidies
- Subsidized public transport cards
Company Bike
- Bike inspection services
Learning & Development
- Learning times
Team Events
- Hack days
Other Benefits
- Online and physical libraries
Career Advancement
- Continuous feedback
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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.
Requirements
- 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
Tasks
- 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
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- AI/ML engineering
- LLM-based systems
- Search
- Information retrieval
- Data-intensive systems
- Web stack
- Cloud environments
- Infrastructure-as-code
Benefits
Flexible Working
- Flexible working hours
- Designated Focus Times
- Remote work options
More Vacation Days
- 30 vacation days
Public Transport Subsidies
- Subsidized public transport cards
Company Bike
- Bike inspection services
Learning & Development
- Learning times
Team Events
- Hack days
Other Benefits
- Online and physical libraries
Career Advancement
- Continuous feedback
About the Company
Ecosia
Industry
Other
Description
The company helps plant millions of trees where people and ecosystems need them most.
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