Associate AI Solutions Engineer (Graduate & Career-Change Pathway)
Job title: Associate AI Solutions Engineer
Primary focus: Front-line customer technical support, quality assurance, platform health, customer onboarding, and the technical bridge between Sales, Customers, Product, and Engineering.
Seniority: Graduate / early-career / career-change pathway. This is an entry-level to associate-level role with structured growth into a full Solutions Engineer position.
Location: Hybrid – three days per week in Bath. You must be within realistic commuting distance of Bath and have the right to work in the UK.
Candidate profile summary
We’re looking for someone unusually bright, curious, practical, and customer-focused who wants to build a career at the intersection of AI, SaaS, recruitment technology, product operations, and customer problem-solving.
This role is open to both strong graduates and career changers.
You might be a recent graduate who has spent time experimenting with AI tools, building small projects, automating workflows, learning to code, or exploring how modern software products work.
Or you might be changing career from recruitment, customer support, operations, teaching, sales, customer success, consulting, or another people-facing or operational role – and now want to move into AI, SaaS, technical support, or solutions engineering.
You do not need years of professional technical experience. You do need evidence that you are quick to learn, comfortable with technology, genuinely excited by AI, and able to communicate clearly with customers and internal teams.
The right person will enjoy solving problems for people, not just systems. You’ll be happiest when you’re unblocking a customer, testing a workflow, documenting a bug clearly, improving a process, or using AI to make work faster and better.
The RoleSkreen.ai is hiring an Associate AI Solutions Engineer to support customers, test product workflows, investigate issues, help onboard clients, and act as a technical bridge between our customers, Sales team, Product team, and Engineering team.
This is a hybrid role by design – part customer support, part QA, part technical account support, part product operations, and part AI workflow experimentation.
You will be the person helping us understand what is happening when customers report issues, making sure new releases behave as expected, supporting customer configuration, and turning messy problems into clear next steps.
We’re not looking for someone as technical as a sdeveloper, just someone that can learn quickly, write clearly, communicate calmly, care about customers, and become progressively more technical over time.
Over 12-18 months, this role is designed to grow into a full Solutions Engineer role.
Responsibilities – what you’ll do
- Be a front-line point of contact for customer technical support, helping to triage, investigate, and resolve issues raised through support tickets, email, calls, or internal escalations.
- Help customers understand how to use Skreen effectively, especially during onboarding, configuration, and early product adoption.
- Run manual testing and quality checks on new features and releases before and after they ship, helping catch issues before customers do.
- Test key Skreen workflows such as job creation, AI job description generation, CV parsing, AI candidate screening and ranking, AI interview flows, candidate stage movement, interview scheduling, calendar integrations, email workflows, ATS/CRM setup, permissions, and customer-specific configurations.
- Reproduce and clearly document bugs for the engineering team, including steps to reproduce, expected behaviour, actual behaviour, screenshots, customer examples, affected workflows, and any useful supporting evidence.
- Help monitor platform health and customer workflows, escalating unusual patterns, repeated support issues, failed workflows, broken integrations, or anything that could affect customer experience.
- Support customer onboarding and implementation, including workflow setup, hiring stages, account settings, branding, job templates, permissions, and integrations.
- Act as a technical liaison between Sales, Customer Success, customers, Product, and Engineering.
- Help answer technical questions during demos, onboarding, customer calls, and internal sales/customer discussions.
- Maintain and improve internal and customer-facing documentation, FAQs, troubleshooting guides, onboarding notes, release notes, QA checklists, and support playbooks.
- Use AI tools responsibly to improve support, documentation, QA, onboarding, customer research, internal process improvement, and product feedback loops.
Must-have skills, qualities, and requirements
- You must have the right to work in the UK.
- You must be within realistic commuting distance of Bath and be willing to work from Bath three days per week.
- You must have clear evidence of genuine interest in AI, shown through personal projects, workflow experiments, automations, AI tools you use regularly, self-directed learning, coursework, work experience, or practical examples.
- You must be able to communicate clearly in writing and conversation, including explaining problems simply, writing structured notes, and communicating calmly with customers, colleagues, and non-technical users.
- You must have a customer-focused mindset and enjoy helping people solve problems.
- You must be able to think in a structured way, breaking unclear problems down into symptoms, causes, evidence, next steps, and escalation points.
Nice-to-have skills and experience
- Experience in recruitment, talent acquisition, HR, recruitment agencies, hiring operations, or HR technology.
- Experience in customer support, customer success, account management, teaching, tutoring, consulting, sales, operations, hospitality, or another people-facing role.
- Experience using AI tools such as ChatGPT, Claude, Cursor, Replit, Lovable, Bolt, Make, Zapier, n8n, OpenAI APIs, or similar.
- A personal project, automation, app, website, chatbot, GitHub repo, spreadsheet tool, no-code workflow, portfolio, or technical experiment.
- Familiarity with no-code or automation tools such as Airtable, Retool, Notion, Zapier, Make, n8n, or Google Sheets.
- Experience with support or ticketing tools such as HubSpot, Intercom, Zendesk, Freshdesk, or similar.
- Experience writing test cases, running manual QA, or reporting bugs.
- Experience with monitoring or observability tools such as Sentry, Datadog, Grafana, or status pages.
- Frontend or UX interest – enough to notice when something is confusing, broken, inconsistent, or difficult for users.
- Awareness of SEO fundamentals – useful for supporting marketing pages, blog content, and public-facing job listings.
- University degree, bootcamp, apprenticeship, or equivalent self-taught route.
Skreen – what we offer
Founded in 2024, Skreen.ai helps forward-thinking companies build diverse, high-performing teams through AI-powered insights – replacing biased, inefficient CV screening and painful interview scheduling with smarter, fairer tools. We already serve hundreds of companies worldwide, and we’re investing heavily in AI to make hiring faster, fairer, and more human.
Salary: £30,000-£38,000, depending on evidence of potential, AI curiosity, communication skills, technical aptitude, customer maturity, and relevant transferable experience. Guaranteed 6 month review.
Impact: You’ll be one of the technical faces of Skreen.ai to our customers, and a key early hire as we scale our support, product, and engineering functions together.
Growth: Room to grow into a Solutions Engineer, Senior Solutions Engineer, Technical Account Manager, Customer Engineer, QA/Platform Specialist, Product Operations, or Implementation role as the team scales.
Working style: Hybrid – three days per week in Bath, with remote working for the remaining days. You must be within realistic commuting distance of Bath.
Holiday: 25 days annual leave,plus bank holidays.
Equipment: MacBook Pro provided, along with whatever else you need to do your best work.
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