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:
- 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 interviews and hands-on observation.
- Natural ability to sit with end-users, understand their real-world challenges, and translate messy problems into structured use cases and actionable solutions.
- Ability to evaluate AI use cases for feasibility, business value, and priority — and identify when a use case requires custom development versus 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.
Why You Stand Out :
- Agile Familiarity: Comfortable working in sprint-based delivery, writing PBIs/features, and collaborating closely 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
What's In It For You:
- Growth-oriented company with a focus on your development journey through regular feedback and discussions
- Open and welcoming corporate culture globally
- Extensive e-learning platform with 300+ training courses and on-site sessions, including internal leadership training
- Onsite car parking, bicycle storage, and convenient public transport links
- Newly built canteen with free hot drinks
- Employee Discount scheme with savings across thousands of UK retailers
- Employee wellbeing culture with mental health support, wellbeing portal, and psychologist assistance
- Monetary-based Reward Schemes for recognition, referrals, anniversaries, and life events
- 37.5 hours per week, permanent contract
- 25 days holiday entitlement plus Bank Holidays, increasing with length of service.
- Life insurance policy for eligible employees – 4 x base salary
Skills Required
- Bachelor’s degree in Computer Science, Information Systems, Business Informatics, Industrial Engineering, Digital Business, or a relevant field
- 3–5 years of professional experience in customer success engineering, AI or digital solutions consulting, business analysis, or technical product enablement
- Hands-on experience building solutions with no-code or low-code AI platforms, including agents, automations, workflows, apps, LLM assistants, agent frameworks, and prompt engineering
- Ability to work across diverse business domains and understand domain-specific processes, terminology, and pain points
- Understanding of enterprise systems, APIs, integrations, data flows, and SaaS architectures
- Excellent verbal and written communication skills, including presenting technical concepts, facilitating workshops, conducting demos, and building stakeholder relationships
- Experience eliciting, documenting, analyzing, and validating business and technical requirements
- Ability to translate end-user challenges into structured use cases and actionable solutions
- Ability to evaluate AI use cases for feasibility, business value, priority, and implementation approach
- Experience driving enterprise tool rollouts, user adoption, onboarding, training, feedback loops, and change management
- Ability to produce requirement documents, process maps, user guides, and portfolio overviews
- Familiarity with Agile, sprint-based delivery, PBIs, 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
Protolabs Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Protolabs and has not been reviewed or approved by Protolabs.
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Healthcare Strength — Medical, dental, and vision options are broadly available and described as good to excellent. Additional protections like short- and long-term disability and life insurance bolster the overall package.
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Leave & Time Off Breadth — A starting PTO allotment plus paid holidays, along with added wellness and volunteer time, is emphasized, with some roles noting PTO growth over tenure. Paid caregiver leave appears in postings and supports flexibility for life events.
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Retirement Support — A 401(k) with company match and immediate vesting is offered, supporting long-term savings. This foundation is frequently cited alongside core financial benefits as a strong element of total rewards.
Protolabs Insights
What We Do
Protolabs is the world's fastest digital manufacturing source for rapid prototyping and on-demand production. The technology-enabled company produces custom parts and assemblies in as fast as 1 day with automated 3D printing, CNC machining, sheet metal fabrication, and injection molding processes. Our digital approach to manufacturing enables accelerated time to market, reduces development and production costs, and minimizes risk throughout the product life cycle. 3D Printing Our 3D printing service offers a wide selection of materials and technologies to create prototypes and end-use parts with complex geometries and detailed features. With tight process controls, careful design reviews, and extensive quality monitoring, we ensure precise and repeatable 3D-printed parts, every time. CNC Machining We use 3- and 5-axis milling along with turning to machine parts from commercial-grade plastics and metals. Our online quoting system and automated manufacturing process enable us to ship parts within 24 hours, helping customers accelerate development and reduce time to market. Sheet Metal Fabrication Protolabs is an industry leader in quick-turn sheet metal parts for both prototyping and low-volume production. Our digital approach to manufacturing enables us to fabricate sheet metal parts in as fast as 5 days. Additionally, we can support our customers’ development efforts with component assemblies, several finish options, and screen printing. Injection Molding Our injection molding service offers two options—prototyping and on-demand manufacturing—which provide customers a tooling solution that aligns with their project’s requirements. It’s used for quick-turn prototyping, bridge tooling, and low-volume production of up to 10,000+ parts in 15 days or less.
