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
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
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