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Manex AI

AI-driven manufacturing optimization and quality control

Vice President Customer Success

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeMunich, GermanyHybrid

About the Job

Requirements

  • A degree in Industrial Engineering, Mechanical Engineering, or a similar field is required.
  • Five to ten years of professional experience in consulting, automotive, manufacturing, or technology is required.
  • A good understanding of artificial intelligence, software, and production processes is required.
  • The candidate must be able to lead cross-functional teams and orchestrate stakeholders.
  • Business-fluent German and English are required.
  • The candidate must be based in Munich or willing to relocate.

Responsibilities

  • Lead and oversee complex customer projects, ensuring delivery from pilot to global rollout.
  • Drive project management and coordinate integrations across industries.
  • Guide and mentor sales, operations, and technology stakeholders within cross-functional project teams.
  • Build and strengthen long-term customer relationships with enterprise stakeholders, from the shop floor to C-level.
  • Strategically expand and manage the Customer Impact Team.
  • Take an active role in the strategic development of the business model and product.

Desired Qualifications

  • An industry PhD is a strong plus.

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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