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Protolabs

Online-quoted digital manufacturing for prototyping

AI Customer Success Engineer

Enterprise ApplicationsUpdated on Nov 13
Full-timeMaple Plain, MN, USA$114.3k - $171.5k /yr

About the Job

Requirements

  • A bachelor's degree in a relevant field, such as Computer Science, Information Systems, Business Informatics, Industrial Engineering, or Digital Business.
  • Three to five years of professional experience in customer success engineering, AI or digital solutions consulting, business analysis, or technical product enablement.
  • Extensive hands-on experience building solutions with no-code or low-code AI platforms, including agents, automations, workflows, and apps using LLM-based assistants, agent frameworks, and prompt engineering; ability to independently deliver AI-powered solutions without custom development.
  • Ability to work across diverse business domains and quickly understand domain-specific processes, terminology, and pain points.
  • Strong understanding of enterprise system connections, including APIs, integrations, data flows, and SaaS architectures, and ability to assess AI tool fit and identify integration requirements.
  • Ability to elicit, document, analyze, and validate business and technical requirements, such as user stories, acceptance criteria, and process flows, through stakeholder interviews and hands-on observation.
  • Ability to translate end-user challenges into structured use cases and actionable solutions.
  • Ability to evaluate AI use cases for feasibility, business value, and priority, and distinguish use cases requiring custom development from no-code implementation.
  • Experience driving enterprise tool rollouts, user adoption programs, and change management, including onboarding, training, feedback loops, and continuous improvement.
  • Ability to produce clear requirement documents, process maps, user guides, and portfolio overviews.

Responsibilities

  • Work with business users to understand their workflows and use cases for AI tooling.
  • Create and configure agents, apps, and automations within AI tooling for and with end users.
  • Process and analyze user feedback and identify gaps between user expectations and current capabilities.
  • Develop onboarding materials and guide users through adoption.
  • Derive platform setup requirements from user needs.
  • Oversee support channels and collect and answer user feedback and questions.
  • Turn business challenges into no-code and low-code solutions, taking ideas from concept through implementation.
  • Support requirements analysis for custom AI use cases by eliciting, documenting, and refining functional and non-functional requirements with business stakeholders.
  • Scope and refine use cases by translating business needs into structured AI solution requirements.
  • Define measurable KPIs and acceptance criteria for use case delivery.
  • Conduct demos and feedback calls with business users.

Desired Qualifications

  • Familiarity with Agile delivery, including sprint-based work, writing PBIs or features, and collaboration with development teams.
  • Background in manufacturing, engineering services, or B2B technology companies.
  • Familiarity with AWS services and AI governance frameworks.
  • Scrum or Product Owner certification.

About the Company

Protolabs

Online-quoted digital manufacturing for prototyping

Protolabs delivers digital manufacturing services for rapid prototyping and low-volume production. Its core offerings include 3D printing, CNC machining, and injection molding, all accessible through an online quoting system that provides free design analysis within hours. The company leverages a global network of more than 250 vetted manufacturing partners to provide fast, scalable production with consistent quality. Unlike traditional shops, Protolabs combines an automated, online workflow with a large partner network to quickly move a concept from design to production, aiming to reduce development time and total costs. The goal is to help engineers, designers, and product developers bring ideas to market faster by pairing speed, cost efficiency, and responsive customer service with broad manufacturing capabilities.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Maple Plain, MN
Founded
1999

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