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VP of Technology(m/w/x)
Leading a team of 10 engineers, owning system architecture for conversational AI and voice pipelines for natural interaction experiences. 8-12+ years engineering and leadership experience, with production ML systems experience required. Direct path to CTO role.
Requirements
- 8-12+ years engineering and leadership experience
- Experience leading teams of 5+ engineers
- Strong cloud architecture background
- Understanding of distributed systems and backend
- Experience running production ML systems
- Strong full-stack understanding
- Experience working directly with founders
- ML inference performance optimization skills
- Experience with real-time/low-latency systems
- Scaling developer platforms or APIs
- Startup or scale-up background
- Builder mentality
- High ownership and execution energy
- Comfort with ambiguity
- Product-minded approach
- Willingness to lead and code
Tasks
- Lead and mentor a team of up to 10 engineers
- Own system architecture for conversational AI and voice pipelines
- Drive cloud infrastructure strategy across AWS, GCP, or Azure
- Optimize real-time AI inference for latency and cost
- Improve orchestration of LLMs and TTS/STT components
- Design scalable systems for high enterprise concurrency
- Lead API architecture and SDK strategy
- Build scalable abstractions for agent deployment
- Strengthen platform observability and developer tooling
- Attract and hire top-tier technical talent
- Foster a culture of ownership and accountability
- Review architecture and critical code paths
- Prototype and unblock high-impact technical work
- Align the technical roadmap with product strategy
Work Experience
- 8 - 12 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- AWS
- GCP
- Azure
- APIs
Benefits
Career Advancement
- Opportunity to grow into CTO
Not a perfect match?
- CoreTylyntFull-timeOn-siteSeniorBerlin
- CoreTylynt
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VP of Technology(m/w/x)
Leading a team of 10 engineers, owning system architecture for conversational AI and voice pipelines for natural interaction experiences. 8-12+ years engineering and leadership experience, with production ML systems experience required. Direct path to CTO role.
Requirements
- 8-12+ years engineering and leadership experience
- Experience leading teams of 5+ engineers
- Strong cloud architecture background
- Understanding of distributed systems and backend
- Experience running production ML systems
- Strong full-stack understanding
- Experience working directly with founders
- ML inference performance optimization skills
- Experience with real-time/low-latency systems
- Scaling developer platforms or APIs
- Startup or scale-up background
- Builder mentality
- High ownership and execution energy
- Comfort with ambiguity
- Product-minded approach
- Willingness to lead and code
Tasks
- Lead and mentor a team of up to 10 engineers
- Own system architecture for conversational AI and voice pipelines
- Drive cloud infrastructure strategy across AWS, GCP, or Azure
- Optimize real-time AI inference for latency and cost
- Improve orchestration of LLMs and TTS/STT components
- Design scalable systems for high enterprise concurrency
- Lead API architecture and SDK strategy
- Build scalable abstractions for agent deployment
- Strengthen platform observability and developer tooling
- Attract and hire top-tier technical talent
- Foster a culture of ownership and accountability
- Review architecture and critical code paths
- Prototype and unblock high-impact technical work
- Align the technical roadmap with product strategy
Work Experience
- 8 - 12 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- AWS
- GCP
- Azure
- APIs
Benefits
Career Advancement
- Opportunity to grow into CTO
About the Company
Journee Technologies GmbH
Industry
IT
Description
The company creates natural interactions and lifelike digital experiences for brands, products, and people.
Not a perfect match?
- CoreTylynt
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