Tacto
Intern, Technical Builder in Residence(m/w/x)
VollzeitPraktikumnur vor Ort
München
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COcomstruct
Product Engineer Intern(m/w/x)
München
Full-timeInternshipOn-site
AI/ML
Nejo AI Summary
Building autonomous AI agents for material procurement and contract management at construction tech startup. Enrollment at a top-tier university and full German proficiency required. Equity options and external mentorship program.
Requirements
- Enrollment at top university with outstanding academic record
- Experience in startups, student initiatives, research, VC, or consultancy
- High drive and demonstrated ambition and execution power
- Structured work style, analytical thinking, and ownership
- Full proficiency in German and English
Tasks
- Build meaningful solutions combining software and AI
- Develop procurement tools for construction site materials
- Create contract management systems for full insights
- Propose and implement original ideas to scale platform value
Education
- Currently in higher education
Languages
- German – Business Fluent
- English – Business Fluent
Benefits
Competitive Pay
- Competitive salary
- Equity options
Career Advancement
- Clear path to success
Mentorship & Coaching
- Mentorship from experienced colleagues
- Mentorship from external mentors
Startup Environment
- Direct access to customer champions
Modern Equipment
- Top notch hardware
Free or Subsidized Food
- Daily dinners in the office
Learning & Development
- Learning and development budget
Healthcare & Fitness
- Wellpass subscriptions
Team Events
- Yearly company off-sites
- Team events
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of comstruct 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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COcomstruct
Product Engineer Intern(m/w/x)
München
Full-timeInternshipOn-site
AI/ML
Nejo AI Summary
Building autonomous AI agents for material procurement and contract management at construction tech startup. Enrollment at a top-tier university and full German proficiency required. Equity options and external mentorship program.
Requirements
- Enrollment at top university with outstanding academic record
- Experience in startups, student initiatives, research, VC, or consultancy
- High drive and demonstrated ambition and execution power
- Structured work style, analytical thinking, and ownership
- Full proficiency in German and English
Tasks
- Build meaningful solutions combining software and AI
- Develop procurement tools for construction site materials
- Create contract management systems for full insights
- Propose and implement original ideas to scale platform value
Education
- Currently in higher education
Languages
- German – Business Fluent
- English – Business Fluent
Benefits
Competitive Pay
- Competitive salary
- Equity options
Career Advancement
- Clear path to success
Mentorship & Coaching
- Mentorship from experienced colleagues
- Mentorship from external mentors
Startup Environment
- Direct access to customer champions
Modern Equipment
- Top notch hardware
Free or Subsidized Food
- Daily dinners in the office
Learning & Development
- Learning and development budget
Healthcare & Fitness
- Wellpass subscriptions
Team Events
- Yearly company off-sites
- Team events
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of comstruct 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.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
comstruct
Industry
Construction
Description
The company automates construction companies’ commercial processes by extracting material data from delivery notes and invoices.
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