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Manex AI

AI-driven manufacturing optimization and quality control

Product Impact Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeMunich, Germany

About the Job

Requirements

  • A degree in Computer Science, Information Systems, or a similar field is required.
  • 0 to 4 years of professional experience or internships in software engineering, or similar experience.
  • Hands-on experience through projects, ventures, or product development.
  • Business-fluent German and English.
  • Based in Munich or willing to relocate.

Responsibilities

  • Direct software and AI application development within customer projects.
  • Troubleshoot and document issues, co-create solutions alongside senior software engineers, and drive product development.
  • Support technical integration of the platform into customer IT landscapes.
  • Drive customer-facing technical project management from kick-off to go-live.
  • Learn how production processes, IT infrastructure, and AI products intersect.
  • Translate customer requirements into technical solutions and specifications.

Desired Qualifications

  • Curiosity about manufacturing, how factories operate, emerging technology, and product development.

About the Company

Manex AI

AI-driven manufacturing optimization and quality control

Manex AI builds software that helps manufacturers run their factories more efficiently with AI. Its platform, Qualitatio, collects and analyzes data from existing systems such as ERP, MES, and quality management tools, then provides guidance to optimize production, quality, and overall operations from order intake to delivery. The product works by aggregating data, identifying patterns, and presenting actionable insights and controls that steer processes toward better performance, defect reduction, and throughput. Manex AI differentiates itself through deep integration with current industrial software ecosystems and a focus on end-to-end quality and process optimization for large manufacturers like BMW and Audi, rather than offering generic analytics. The company aims to enable autonomous factories by providing a scalable control layer that supports digital transformation, enabling factories to operate with higher efficiency, better quality, and more resilient margins.

Company size
11-50
Company stage
Seed
Total funding
$8.8M
Headquarters
Munich, Germany
Founded
2023

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