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Customer service for a busy dry cleaning shop role will include taking customers details checking garments and tagging, sorting and packing customers clothes Ideally you will have experience in a dry cleaning environment

Location - Oval, South London (Onsite) Type - Full-Time Start Day - Immediate Salary - £30,000 - £35,000 (top end reserved for outstanding candidates) Headquarters - New York, NY, USA About Quant.ai Quant.ai is building the world’s most advanced Agentic AI – transforming customer service, outbound engagement, and internal decision-making for global enterprises. Our technology helps clients reduce inbound volume, improve response times, and deliver futuristic digital experiences powered by human-like AI. We’re now opening a new office in Oval, South London, and we're looking for our first wave of AI-enhanced customer service reps to help us scale. The existing team in London is small but mighty – 5 people aged 24-27 – and we’re building a collaborative, fast-moving culture where you’ll grow quickly. Our global team (75+) is led by Chetan Dube, former founder & CEO of Amelia The Role As a Customer Service Representative working in tandem with our Agentic AI, you’ll step in when the AI is unable to fully resolve a customer query on behalf of one of our enterprise clients. You’ll not only provide a human touch to resolve the customer’s issue – but also investigate what went wrong, working alongside engineers and product teams to improve the AI’s performance. This is an ideal role for someone in customer support looking to break into the world of AI and tech. No real prior experience is required – we’re just looking for someone with the right attitude. Full training provided. What You’ll Do • Take over live chats, calls, or tickets escalated by our Agentic AI for one of our clients (e.g., in banking, energy, insurance, or telco), • Calm and resolve customer frustrations when the AI couldn’t resolve their problem, • Troubleshoot why the AI failed (e.g., gaps in logic, language understanding, integrations), • Conduct light QA and error analysis across transcripts and system logs, • Collaborate with product managers and engineers to improve AI flows, • Participate in project management cycles for continuous iteration and model training, • Learn the ins and outs of agentic systems, prompt design, and conversational logic, • Help shape a brand new category of support – Human-AI collaboration What We're Looking For 1. 1+ years experience in customer service (live chat, phone, or email-based) is great – but not required, 2. Excellent written and verbal communication, 3. Ability to empathize with frustrated customers and stay calm under pressure, 4. Strong problem-solving mindset and curiosity – especially around how things work, 5. Comfortable working with technical teams (no coding required – training provided), 6. Highly organized, proactive, and detail-oriented, 7. Eagerness to learn AI technologies, tools, and workflows Nice to Have (But Not Required) Why This Role Matters This is not a traditional customer service role. You’ll be the human failsafe for some of the world’s most advanced enterprise AI systems – and the bridge between customers and technology. Your feedback will shape how millions of future interactions are handled.