Snowflake
Engineering Manager Performance(m/w/x)
Full-timeOn-siteSenior
Berlin
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SCScale AI
Forward Deployed Engineering Manager, GenAI Applications(m/w/x)
Berlin
Full-timeOn-siteManagement
AI/ML
Nejo AI Summary
Direct customer collaboration on GenAI application deployment at an AI acceleration platform. Hands-on experience with AI-powered systems and deep interest in Generative AI essential. Frequent customer interaction, guiding solution adoption.
Requirements
- 3–5+ years of engineering management experience
- Strong engineering background
- Hands-on experience with AI-powered systems
- Deep interest in Generative AI
- Proven ability to make sound decisions
- Leadership presence to earn trust
- Strategic thinking to turn goals into plans
- Operational rigor in planning and delivering
- Experience with cloud infrastructure
- Strong communication and collaboration skills
Tasks
- Lead and mentor a high-performing engineering team.
- Set clear technical direction and foster ownership.
- Work hands-on with customers to solve challenges.
- Scope and guide the adoption of solutions.
- Make tradeoffs between speed and scope.
- Drive technical decisions and navigate integrations.
- Shape the product roadmap based on customer needs.
- Build internal tools to accelerate delivery.
- Collaborate with teams to streamline execution.
- Ensure fast, high-quality feature delivery.
- Provide strategic clarity and attract top talent.
Work Experience
- 3 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- AWS
- GCP
- Azure
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Scale AI and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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SCScale AI
Forward Deployed Engineering Manager, GenAI Applications(m/w/x)
Berlin
Full-timeOn-siteManagement
AI/ML
Nejo AI Summary
Direct customer collaboration on GenAI application deployment at an AI acceleration platform. Hands-on experience with AI-powered systems and deep interest in Generative AI essential. Frequent customer interaction, guiding solution adoption.
Requirements
- 3–5+ years of engineering management experience
- Strong engineering background
- Hands-on experience with AI-powered systems
- Deep interest in Generative AI
- Proven ability to make sound decisions
- Leadership presence to earn trust
- Strategic thinking to turn goals into plans
- Operational rigor in planning and delivering
- Experience with cloud infrastructure
- Strong communication and collaboration skills
Tasks
- Lead and mentor a high-performing engineering team.
- Set clear technical direction and foster ownership.
- Work hands-on with customers to solve challenges.
- Scope and guide the adoption of solutions.
- Make tradeoffs between speed and scope.
- Drive technical decisions and navigate integrations.
- Shape the product roadmap based on customer needs.
- Build internal tools to accelerate delivery.
- Collaborate with teams to streamline execution.
- Ensure fast, high-quality feature delivery.
- Provide strategic clarity and attract top talent.
Work Experience
- 3 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- AWS
- GCP
- Azure
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Scale AI and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Scale AI
Industry
IT
Description
Scale AI is a company dedicated to accelerating the development and deployment of AI applications. Their mission is to make the transition from traditional software to AI faster and more efficient across various industries.
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