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Engineering Manager, AI Models Infrastructure(m/w/x)
Building AI platform and infrastructure for customer service AI. Hands-on coding and ML scientist support required. Hybrid work, annual bonus, and equity.
Requirements
- Experience leading infrastructure/platform engineering teams
- Strong prior engineer experience
- Strong technical judgment and coaching ability
- Adaptable leadership style for growing teams
- Curiosity and enthusiasm for AI
- Desire to learn ML system development/operation
- Recent hands-on coding experience or open source contributions
- Previous EM/IC role experience or alternation
- Previous experience building AI products/platforms
Tasks
- Lead a high-performing team building AI platform and infrastructure
- Contribute to production code, maintaining hands-on involvement
- Support ML Scientists and Engineers in building AI capabilities
- Plan and prioritize roadmaps with senior engineers
- Deliver high-impact projects, balancing delivery, quality, and innovation
- Improve developer experience across AI infrastructure
- Ensure systems are observable, scalable, and easy to build upon
- Empower engineers to act with agency and maximize impact
- Expand scope over time, potentially owning additional platform domains
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Benefits
Flexible Working
- Hybrid working
Competitive Pay
- Competitive salary
- Equity
- Regular compensation reviews
Bonuses & Incentives
- Annual bonus
More Vacation Days
- Generous paid time off
Modern Equipment
- MacBooks provided
- Windows laptops available
Team Events
- Employee events
- Home
- Jobs in Germany
- Engineering Manager, AI Models InfrastructureEngineering Manager, AI Models Infrastructure at Intercom
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- Engineering Manager, AI Models InfrastructureEngineering Manager, AI Models Infrastructure at Intercom
Engineering Manager, AI Models Infrastructure(m/w/x)
Building AI platform and infrastructure for customer service AI. Hands-on coding and ML scientist support required. Hybrid work, annual bonus, and equity.
Requirements
- Experience leading infrastructure/platform engineering teams
- Strong prior engineer experience
- Strong technical judgment and coaching ability
- Adaptable leadership style for growing teams
- Curiosity and enthusiasm for AI
- Desire to learn ML system development/operation
- Recent hands-on coding experience or open source contributions
- Previous EM/IC role experience or alternation
- Previous experience building AI products/platforms
Tasks
- Lead a high-performing team building AI platform and infrastructure
- Contribute to production code, maintaining hands-on involvement
- Support ML Scientists and Engineers in building AI capabilities
- Plan and prioritize roadmaps with senior engineers
- Deliver high-impact projects, balancing delivery, quality, and innovation
- Improve developer experience across AI infrastructure
- Ensure systems are observable, scalable, and easy to build upon
- Empower engineers to act with agency and maximize impact
- Expand scope over time, potentially owning additional platform domains
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Benefits
Flexible Working
- Hybrid working
Competitive Pay
- Competitive salary
- Equity
- Regular compensation reviews
Bonuses & Incentives
- Annual bonus
More Vacation Days
- Generous paid time off
Modern Equipment
- MacBooks provided
- Windows laptops available
Team Events
- Employee events
About the Company
Intercom
Industry
IT
Description
Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences.
Not a perfect match?
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