AI Customer Success Engineer

Protolabs

Telford

Hybrid

GBP 55,000 - 85,000

Full time

3 days ago
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Job summary

Protolabs in the United Kingdom (Telford) is seeking an AI Customer Success Engineer for a hybrid role with weekly onsite presence. You will bridge technology and business, helping users adopt AI tooling, configuring no-code solutions, and collaborating with stakeholders across domains.

The role emphasizes hands-on delivery and deriving business value from AI platforms, requiring strong communication and the ability to translate needs into practical no-code/low-code use cases.

Qualifications

  • Bachelor's degree in a relevant field.
  • 3–5 years in customer success engineering or AI/digital consulting.
  • Hands-on experience building no-code/low-code AI solutions.
  • Experience across manufacturing, engineering, finance, HR and procurement.
  • Strong API, integration, and SaaS architecture knowledge.
  • Excellent verbal and written communication.
  • Ability to elicit, document and validate requirements via interviews.

Responsibilities

  • Collaborate with business users to map workflows for AI tooling.
  • Create agents, apps, and automations for AI tooling.
  • Analyze user feedback and close gaps between expectations and capabilities.
  • Develop onboarding materials and guide users through adoption.
  • Define platform requirements based on user needs.
  • Oversee support channels and respond to user questions.
  • Translate business challenges into no-code/low-code solutions from concept to implementation.

Skills

No-code/low-code AI platforms
LLM-based assistants
Prompt engineering
APIs & integrations
Enterprise systems knowledge
Cross-domain understanding
Verbal and written communication

Education

Bachelor's degree in a relevant field

Job description

Be yourself at Protolabs

Studies have shown that women and people of colour are less likely to apply to jobs unless they meet every single qualification. We are an equal opportunity employer, and we are committed to building a diverse team that feels they are valued in the workplace. So do you feel you do not meet every single requirement but still intrigued? We encourage you to still apply! You can help make our company even better. We do not discriminate based on race, colour, national origin, sexual orientation, gender, age, mental or physical ability, or any way you represent yourself. We strongly believe diversity makes for more successful teams.

Why Protolabs?

We are the leaders in digital manufacturing. We hire doers, makers, and creative thinkers who tackle our roles with an entrepreneurial spirit. Our culture is centered around meaningful work that brings new and innovative products to market at unprecedented speeds. We are a diverse team that comes from all walks of life and take pride in our team who is smart, genuine, humble, and passionate about what we do. It's our people who fuel our creativity and make our culture feel like home.

Join our team as an AI Customer Success Engineer in Telford!

This is a hybrid role, with an onsite presence required on a weekly basis.

Companies are investing heavily in AI - yet employees often use only a fraction of what those tools and solutions can do, and the friction remains. The capability exists. The problem exists. What's missing is the connection between them. Do you enjoy solving problems with technology to realize true business value? You can be the bridge between technology and business!

What You Will Do:
AI Platform Adoption & Enablement; No-Code Development (Primary)
  • You will sit with business users to deeply understand their workflows and use cases for AI tooling
  • You will help create and configure agents, apps and automations within AI tooling for and with end-users
  • You will process and analyse user feedback; surface gaps between user expectations and current capabilities
  • You will develop onboarding materials and guide users through adoption
  • You will derive requirements for platform set-up based on user needs
  • You will oversee support channels, collect and answer user feedback and questions
  • You'll turn real business challenges into effective no-code and low-code solutions, taking ideas from concept through to implementation
Use Case Analysis & Requirements Support (Secondary)
  • You will support requirements analysis for custom AI use cases: elicit, document, and refine functional and non-functional requirements with business stakeholders
  • You will perform use case scoping and refinement - translate business needs into structured AI solution requirements
  • You will define measurable KPIs and acceptance criteria for use case delivery
  • You will conduct demos and feedback calls with business users
What You Bring:
  • Bachelor's degree in a relevant field (e.g., Computer Science, Information Systems, Business Informatics, Industrial Engineering, or Digital Business)
  • 3-5 years of professional experience in customer success engineering, AI/digital solutions consulting, business analysis, or technical product enablement
  • Extensive hands‑on experience building solutions with no-code/low-code AI platforms - creating agents, automations, workflows, and apps using LLM-based assistants, agent frameworks, and prompt engineering. Able to independently deliver AI-powered solutions without custom development.
  • Demonstrated ability to work across diverse business domains (e.g., manufacturing, engineering services, finance, HR, supply chain) and quickly understand domain‑specific processes, terminology, and pain points.
  • Strong understanding of how enterprise systems connect - APIs, integrations, data flows, and SaaS architectures. Able to assess how AI tools fit into existing system landscapes and identify integration requirements.
  • Excellent verbal and written communication skills; able to present complex technical concepts to non-technical audiences, facilitate workshops, run demos, and build trusted relationships with business stakeholders at all levels.
  • Proven ability to elicit, document, analyse, and validate business and technical requirements (e.g., user stories, acceptance criteria, process flows) through stakeholder intervie
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