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Caddi

Manufacturing AI platform integrating engineering data

Manufacturing Transformation Consultant - AI Data Platform

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeHanoi, Vietnam

About the Job

Requirements

  • At least five years of professional experience in consulting, manufacturing advisory, in-house consulting, Kaizen, production engineering, industrial engineering, business improvement, or manufacturing-site digitalization or smart-factory initiatives.
  • Native Vietnamese and professional proficiency in English or Japanese.
  • Interest in manufacturing and willingness to learn manufacturing operations deeply on site.
  • Hands-on experience with Microsoft Excel and presentation tools.
  • Numerical ability and a problem-solving approach.
  • Analytical and creative thinking.
  • Willingness to travel to customer sites in northern industrial provinces and occasionally elsewhere in Vietnam.

Responsibilities

  • Diagnose customers’ management agendas and on-site engineering, procurement, and production processes to identify where knowledge and data are lost, duplicated, or unusable.
  • Set target states and milestones with customer management and drive adoption of new ways of working.
  • Lead onboarding for new customers, coordinating with cross-functional teams to provide training and resources.
  • Visit customer sites to understand operations, earn the trust of frontline workers, and remove barriers to platform adoption.
  • Gather customer feedback, address concerns, and incorporate on-site insights into transformation plans.
  • Build and maintain relationships with key accounts from plant-floor personnel through C-suite stakeholders, keeping solutions aligned with customer management agendas.
  • Develop in-depth product knowledge and stay informed about how AI and data are changing manufacturing.
  • Monitor industry trends and best practices to provide insights to customers.
  • Manage customer renewals and identify upselling and cross-selling opportunities with the Field Sales team.
  • Monitor engagement progress, identify risks, and independently design and execute recovery plans.
  • Report customer outcomes to leadership and document effective practices for use across the team.

Desired Qualifications

  • Bachelor's or Master's degree in Mechanical, Industrial, Manufacturing, Production, or a related engineering field.
  • Experience structuring ambiguous problems and communicating recommendations to management-level stakeholders.
  • Consulting experience delivering manufacturing-client projects in strategy, operations, supply chain, or digital transformation.
  • Experience with Kaizen, the Toyota Production System, industrial engineering, production engineering, or quality, cost, and delivery improvement projects at an original equipment manufacturer or Tier 1 supplier.
  • Experience in digital transformation or data-utilization projects involving drawing, procurement, product lifecycle management or product data management, enterprise resource planning, or manufacturing execution system data.
  • Experience in business-to-business software-as-a-service onboarding and adoption, and hands-on experience with customer relationship management software.
  • Track record of engaging with and influencing C-suite or plant-level management.
  • Ability to multitask, prioritize, and manage time effectively.
  • Japanese language skills.

About the Company

Caddi

Manufacturing AI platform integrating engineering data

CADDi builds a Manufacturing AI Data Platform that structures fragmented data from engineering, procurement, production, and quality so humans and AI can reason across drawings and supply-chain records. Its products include CADDi Drawer/Explorer for drawing intelligence, CADDi Quote, CADDi Agent, and domain workflow tools used by Hitachi, Subaru, and Kawasaki in 20+ countries. The platform unifies diverse data sources into a shared model to enable automated workflows across design, sourcing, production, and quality. Its goal is to expand adoption in North America and grow its AI capabilities, supported by funding and strategic partnerships.

Company size
501-1,000
Company stage
Series D
Total funding
$415.6M
Headquarters
Chicago, IL
Founded
2017

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