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!

As an AI Customer Success Engineer, you will embed yourself with business users to deeply understand their workflows and use cases, build automations and agents through no-code development, analyse user feedback, and drive adoption of AI tooling turning untapped potential into real impact. Beyond enablement, you will create the analytical depth behind custom AI solutions by analysing requirements, conducting demos, guiding users through rollout, and managing feedback channels, working alongside Technical Product Managers to deliver measurable value through AI across the organisation.

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

AI Customer Success Engineer at Protolabs