AI Customer Success Engineer

AI Platform Adoption & Enablement; No-Code Development (Primary)

Use Case Analysis & Requirements Support (Secondary)

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 :

What's In It For You:

Additional information

Qualifications

• 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.
• 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
• 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
• Additional information
• What to expect in the hiring process
• Alignment call
• Kick-off with an initial screening with one Talent Acquisition Partners, not really an interview, but the chance to learn more about how we do things, our process and a chance for you to ask all the things you want to know
• Interview
• A deeper dive into the role, what we're looking for the hiring manager and you to get to know one another
• Further interviews
• We always try to streamline our recruitment process as much as possible but may sometimes need to carry out further interviews. This may be to meet other members of the team or more senior employees. It may also be an opportunity to see the site or working area

Responsibilities

• 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
• 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